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1 Parent(s): da89680

add storage docs

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  1. storage/claw_guidance/default__vector_store.json +0 -0
  2. storage/claw_guidance/docstore.json +0 -0
  3. storage/claw_guidance/graph_store.json +1 -0
  4. storage/claw_guidance/image__vector_store.json +1 -0
  5. storage/claw_guidance/index_store.json +1 -0
  6. storage/claw_guidance_summary/default__vector_store.json +1 -0
  7. storage/claw_guidance_summary/docstore.json +0 -0
  8. storage/claw_guidance_summary/graph_store.json +1 -0
  9. storage/claw_guidance_summary/image__vector_store.json +1 -0
  10. storage/claw_guidance_summary/index_store.json +1 -0
  11. storage/ennaso_guidance/default__vector_store.json +0 -0
  12. storage/ennaso_guidance/docstore.json +0 -0
  13. storage/ennaso_guidance/graph_store.json +1 -0
  14. storage/ennaso_guidance/image__vector_store.json +1 -0
  15. storage/ennaso_guidance/index_store.json +1 -0
  16. storage/ennaso_guidance_summary/default__vector_store.json +1 -0
  17. storage/ennaso_guidance_summary/docstore.json +0 -0
  18. storage/ennaso_guidance_summary/graph_store.json +1 -0
  19. storage/ennaso_guidance_summary/image__vector_store.json +1 -0
  20. storage/ennaso_guidance_summary/index_store.json +1 -0
  21. storage/globalfund_guidance/default__vector_store.json +0 -0
  22. storage/globalfund_guidance/docstore.json +0 -0
  23. storage/globalfund_guidance/graph_store.json +1 -0
  24. storage/globalfund_guidance/image__vector_store.json +1 -0
  25. storage/globalfund_guidance/index_store.json +1 -0
  26. storage/globalfund_guidance_summary/default__vector_store.json +1 -0
  27. storage/globalfund_guidance_summary/docstore.json +0 -0
  28. storage/globalfund_guidance_summary/graph_store.json +1 -0
  29. storage/globalfund_guidance_summary/image__vector_store.json +1 -0
  30. storage/globalfund_guidance_summary/index_store.json +1 -0
  31. storage/itpc_guidance/default__vector_store.json +0 -0
  32. storage/itpc_guidance/docstore.json +0 -0
  33. storage/itpc_guidance/graph_store.json +1 -0
  34. storage/itpc_guidance/image__vector_store.json +1 -0
  35. storage/itpc_guidance/index_store.json +1 -0
  36. storage/itpc_guidance_summary/default__vector_store.json +1 -0
  37. storage/itpc_guidance_summary/docstore.json +0 -0
  38. storage/itpc_guidance_summary/graph_store.json +1 -0
  39. storage/itpc_guidance_summary/image__vector_store.json +1 -0
  40. storage/itpc_guidance_summary/index_store.json +1 -0
  41. storage/pepfar_guidance/default__vector_store.json +0 -0
  42. storage/pepfar_guidance/docstore.json +1 -0
  43. storage/pepfar_guidance/graph_store.json +1 -0
  44. storage/pepfar_guidance/image__vector_store.json +1 -0
  45. storage/pepfar_guidance/index_store.json +1 -0
  46. storage/pepfar_guidance_summary/default__vector_store.json +1 -0
  47. storage/pepfar_guidance_summary/docstore.json +1 -0
  48. storage/pepfar_guidance_summary/graph_store.json +1 -0
  49. storage/pepfar_guidance_summary/image__vector_store.json +1 -0
  50. storage/pepfar_guidance_summary/index_store.json +1 -0
storage/claw_guidance/default__vector_store.json ADDED
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storage/claw_guidance/docstore.json ADDED
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storage/claw_guidance/graph_store.json ADDED
@@ -0,0 +1 @@
 
 
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+ {"graph_dict": {}}
storage/claw_guidance/image__vector_store.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"embedding_dict": {}, "text_id_to_ref_doc_id": {}, "metadata_dict": {}}
storage/claw_guidance/index_store.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"index_store/data": {"eb37d7ae-f292-427e-b7a5-cd346305e7eb": {"__type__": "vector_store", "__data__": "{\"index_id\": \"eb37d7ae-f292-427e-b7a5-cd346305e7eb\", \"summary\": null, \"nodes_dict\": {\"8a3e87b9-91cf-444f-b9e9-d1509a363241\": \"8a3e87b9-91cf-444f-b9e9-d1509a363241\", \"20c157b8-b349-4a0e-adf6-4041c341d77e\": \"20c157b8-b349-4a0e-adf6-4041c341d77e\", \"9b4b6b25-fef4-460d-9436-d90f961fd3e8\": \"9b4b6b25-fef4-460d-9436-d90f961fd3e8\", \"f6a6af6f-7ffe-4637-a08f-6d04218822bb\": \"f6a6af6f-7ffe-4637-a08f-6d04218822bb\", \"734b8921-bb9a-410f-8329-8c912a4a50c3\": \"734b8921-bb9a-410f-8329-8c912a4a50c3\", \"3992bcd7-9d5b-423a-952c-e0db1e34589d\": \"3992bcd7-9d5b-423a-952c-e0db1e34589d\", \"02960786-9012-49b0-a978-14659108ce97\": \"02960786-9012-49b0-a978-14659108ce97\", \"51d7f1a7-0f17-4629-af1e-8c3e3878bc79\": \"51d7f1a7-0f17-4629-af1e-8c3e3878bc79\", \"ca0e8c14-c52c-4fe2-bb9c-9f510240b4be\": \"ca0e8c14-c52c-4fe2-bb9c-9f510240b4be\", \"4eaef613-eb92-4901-9db6-3c2c4c540529\": \"4eaef613-eb92-4901-9db6-3c2c4c540529\", \"fef661d8-005c-45ea-9956-0c2c93312c53\": \"fef661d8-005c-45ea-9956-0c2c93312c53\", \"7398a8e4-878d-4aff-a30f-707c484cb3c0\": \"7398a8e4-878d-4aff-a30f-707c484cb3c0\", \"b865c95a-b099-4422-a17c-8d7803246245\": \"b865c95a-b099-4422-a17c-8d7803246245\", \"2b26e8a5-0e36-4086-b333-0c807dc77ed7\": \"2b26e8a5-0e36-4086-b333-0c807dc77ed7\", \"96eb935f-8b16-4f73-9df1-98a610da58dd\": \"96eb935f-8b16-4f73-9df1-98a610da58dd\", \"a02915fd-6b54-4e9d-b417-4d08e33c7950\": \"a02915fd-6b54-4e9d-b417-4d08e33c7950\", \"9cfcbdc9-767a-486d-a2e6-d6516d4eb46e\": \"9cfcbdc9-767a-486d-a2e6-d6516d4eb46e\", \"757e1c59-a856-4d6b-9c0b-cab52ffecf8c\": \"757e1c59-a856-4d6b-9c0b-cab52ffecf8c\", \"e3974b2e-e526-4dac-9678-18137b728edf\": \"e3974b2e-e526-4dac-9678-18137b728edf\", \"61ed468f-817e-4e7c-99f2-350c8c20712c\": \"61ed468f-817e-4e7c-99f2-350c8c20712c\", \"6cd1187e-63eb-4381-8386-ca5587c22c5c\": \"6cd1187e-63eb-4381-8386-ca5587c22c5c\", \"ca59b662-f03c-4616-8333-0a04926c7b73\": \"ca59b662-f03c-4616-8333-0a04926c7b73\", \"f810ebda-dcad-4365-a984-2b98f2b0f285\": \"f810ebda-dcad-4365-a984-2b98f2b0f285\", \"f8ceba88-b0c6-4e0a-a6a6-907610d42e43\": \"f8ceba88-b0c6-4e0a-a6a6-907610d42e43\", \"05149507-73b9-471f-86dc-41bd7062dd22\": \"05149507-73b9-471f-86dc-41bd7062dd22\", \"10802c0c-32b6-4e12-ae9a-c3c7337da85e\": \"10802c0c-32b6-4e12-ae9a-c3c7337da85e\", \"9db786de-25e4-41f8-b357-aa054ea667aa\": \"9db786de-25e4-41f8-b357-aa054ea667aa\", \"32289b86-8f3b-451d-ad91-3a50800ced39\": \"32289b86-8f3b-451d-ad91-3a50800ced39\", \"9c719186-c47a-4432-a1f7-12b4cccc37a9\": \"9c719186-c47a-4432-a1f7-12b4cccc37a9\", \"62eecd43-9fb7-4165-bcb8-1897b5941b3f\": \"62eecd43-9fb7-4165-bcb8-1897b5941b3f\", \"4deacfb7-bd59-4f0a-8097-5a20ec844bcd\": \"4deacfb7-bd59-4f0a-8097-5a20ec844bcd\", \"19b7e839-8a12-476f-9566-b1ba5cca514f\": \"19b7e839-8a12-476f-9566-b1ba5cca514f\", \"8c0bba9c-4891-443a-b5da-74143fddad2a\": \"8c0bba9c-4891-443a-b5da-74143fddad2a\", \"f49cff59-a913-49c5-ab7c-f425d878adc9\": \"f49cff59-a913-49c5-ab7c-f425d878adc9\", \"2662bc4e-98e5-4051-94c2-4c7408093de6\": \"2662bc4e-98e5-4051-94c2-4c7408093de6\", \"9172f179-e9a1-4cfa-bb9e-b4e60555d83f\": \"9172f179-e9a1-4cfa-bb9e-b4e60555d83f\", \"a519e549-d68f-419d-8d91-84babb2e725d\": \"a519e549-d68f-419d-8d91-84babb2e725d\", \"d8283d5c-937f-4517-85f3-c22d54b2eb15\": \"d8283d5c-937f-4517-85f3-c22d54b2eb15\", \"0df325cc-ece7-43ed-a230-ee8ba4f855d1\": \"0df325cc-ece7-43ed-a230-ee8ba4f855d1\", \"0f43e790-7a5f-44c0-b4bd-3d5481b7d52d\": \"0f43e790-7a5f-44c0-b4bd-3d5481b7d52d\", \"9dd12b38-4ad8-493b-9896-375cc6b4197b\": \"9dd12b38-4ad8-493b-9896-375cc6b4197b\", \"0f4c6542-c0a5-4056-916d-c7d9449a0d30\": \"0f4c6542-c0a5-4056-916d-c7d9449a0d30\", \"eb9282b7-1b30-4381-8865-d7f751bcfa72\": \"eb9282b7-1b30-4381-8865-d7f751bcfa72\", \"58c1454e-0db7-4e93-93ac-6f162afff3aa\": \"58c1454e-0db7-4e93-93ac-6f162afff3aa\"}, \"doc_id_dict\": {}, \"embeddings_dict\": {}}"}}}
storage/claw_guidance_summary/default__vector_store.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"embedding_dict": {}, "text_id_to_ref_doc_id": {}, "metadata_dict": {}}
storage/claw_guidance_summary/docstore.json ADDED
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storage/claw_guidance_summary/graph_store.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"graph_dict": {}}
storage/claw_guidance_summary/image__vector_store.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"embedding_dict": {}, "text_id_to_ref_doc_id": {}, "metadata_dict": {}}
storage/claw_guidance_summary/index_store.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"index_store/data": {"368904c5-b0f1-47cc-8697-2f3a16eaa8cb": {"__type__": "list", "__data__": "{\"index_id\": \"368904c5-b0f1-47cc-8697-2f3a16eaa8cb\", \"summary\": null, \"nodes\": [\"4a3c7e40-ff34-4fe0-8628-5224dcdb40e4\", \"9bc897e3-eb7e-4bd5-a380-b0799a9e53f4\", \"59856013-2d71-457f-a227-cd15a1ed7d21\", \"9197fff3-740f-4322-b5ce-b3e69f57a9f0\", \"53dfdcef-911c-4496-a467-6c24966f19ea\", \"30b87d8e-25da-46ca-a67a-29b3deed3167\", \"9834cc5d-aa42-4a65-bb35-c230f886a0d9\", \"6d598874-88cb-45dc-a600-4cd006f9609b\", \"f7b60535-9977-4661-b474-1eca9281c21f\", \"6b2df1c7-dd27-4b71-97fc-f568942c01a8\", \"9191be38-83b0-4dca-b2be-46314a0b279e\", \"6c2bae63-b623-4aab-b860-588ce19a870d\", \"c6622498-a22a-4af6-a4ae-546a0368097f\", \"06e90ea6-62f4-4b1c-9684-3d74834acb97\", \"e2e4c464-67e7-4f33-b074-976da8eeda34\", \"ed532292-2798-4e73-8b93-d51f6999608b\", \"b5d85d64-4307-48cb-86dc-a992505514f6\", \"b3703d61-5ab3-4f27-b603-1f5ec962232f\", \"ee94a4c9-83cf-4e85-b154-c81afb25ff5c\", \"9e082f74-44a7-4eb2-81c1-21c70c17dd76\", \"4c07f13b-80c8-4e92-8d9b-48e7185d180d\", \"879c35db-7e34-4d29-880c-e1c0683a0c4d\", \"1741ca6c-b73b-4d81-8b75-0674a158c1ee\", \"297c7cdf-5ff4-4fd1-9c88-3b3ba9ac6e06\", \"2455b94b-8972-48c0-a207-ded48bedc6ec\", \"25630dfb-ea1d-4910-9e07-887c7ea41788\", \"6b9df11e-1ae2-49c1-bbbd-80b3107f2f0c\", \"5e954bbb-8197-482d-94c4-63620785d06d\", \"d51a08ba-d296-45dd-9c45-1a47e70c929d\", \"e0ecd302-acf4-4e00-b5b4-c70937b4316d\", \"fe55cb0e-e640-484c-9508-ab6087b0f6a8\", \"6cc99fc6-61bf-442c-9cae-98a44f1b3ae7\", \"f42d01c1-93f2-4a79-b890-5d020b619819\", \"f6c09754-0082-41e9-a813-948d5df0a93f\", \"c52f5b4e-576f-40c8-a1ec-a46d285298fc\", \"6a88b3db-d2ee-48a9-b02b-9cd5927ff932\", \"57bb1184-c515-4f56-8c1f-89cfe7c1ed7c\", \"2440f327-fb64-4b9a-b9d1-9a0742d99a1a\", \"1e29cae9-0c1f-40c3-9907-c8e931d6235b\", \"ce962bf8-1b85-4cfa-9947-c17c0f3d6b37\", \"94e3f6cf-5868-49a1-91ec-1d7dea25b0ca\", \"37b0197c-dae1-4308-b592-dac1563cf88c\", \"aa56b2ea-989c-4242-a44c-f99a36646f9d\", \"9f9ed64c-d769-42bd-8646-0069f0f67383\"]}"}}}
storage/ennaso_guidance/default__vector_store.json ADDED
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storage/ennaso_guidance/docstore.json ADDED
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storage/ennaso_guidance/graph_store.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"graph_dict": {}}
storage/ennaso_guidance/image__vector_store.json ADDED
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1
+ {"embedding_dict": {}, "text_id_to_ref_doc_id": {}, "metadata_dict": {}}
storage/ennaso_guidance/index_store.json ADDED
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storage/ennaso_guidance_summary/default__vector_store.json ADDED
@@ -0,0 +1 @@
 
 
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storage/ennaso_guidance_summary/graph_store.json ADDED
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storage/globalfund_guidance/default__vector_store.json ADDED
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storage/globalfund_guidance/docstore.json ADDED
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storage/globalfund_guidance/graph_store.json ADDED
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storage/globalfund_guidance_summary/default__vector_store.json ADDED
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storage/globalfund_guidance_summary/docstore.json ADDED
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storage/globalfund_guidance_summary/graph_store.json ADDED
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storage/globalfund_guidance_summary/image__vector_store.json ADDED
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storage/globalfund_guidance_summary/index_store.json ADDED
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storage/itpc_guidance/default__vector_store.json ADDED
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storage/itpc_guidance/docstore.json ADDED
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storage/itpc_guidance/graph_store.json ADDED
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storage/itpc_guidance/image__vector_store.json ADDED
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storage/itpc_guidance/index_store.json ADDED
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CLM adds a critical missing data stream, the perspective of \nthe patient/beneficiary. \n\u25cf CLM goes beyond being a monitoring activity that simply identifies problems but instead, \nis an approach that is meant to generate ad vocacy and accountability among health \nfacilities, PEPFAR and local communities. CLM gives communities a key role in \ngenerating critical data for use by decision -makers and service providers. \n \nCLM requires a focus on long-term relationships among communit y actors, service providers, \ngovernment representatives and donors . \n \n#2- What are examples of CLM? \nCLM approaches will vary by context, geographic scope, target population, budget, and other \nfactors. A characteristic shared by any successful CLM example wil l be a focus on addressing \nthe concerns and needs of recipients of services. Key metrics and indicators that the CLM \nactivity will monitor should be defined by recipients of services and other community members \nand advocates. Once the indicators have been defined by the community, CLM activities tend to \nfollow these cyclic steps: \n1) data collection at facility and community level; \n2) data analysis and identification of actionable solutions; \n3) dissemination of findings and engagement with key decision ma kers; \n4) evidence -based advocacy at the facility -level, district -level, provincial or regional -level, \nand national -level; \n5) monitoring of proposed solutions and corrective measures.", "start_char_idx": 0, "end_char_idx": 2255, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "84ccbc39-bee0-46d8-8068-b32b4fa84263": {"__data__": {"id_": "84ccbc39-bee0-46d8-8068-b32b4fa84263", "embedding": null, "metadata": {"document_name": "PEPFAR CLM FAQ"}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "0b4e94f0-9373-4f11-81f5-ccac5c92d4c6", "node_type": "4", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "db415b3f403bb0248355101dd617db30d97482397d6cd8a0718b35d965fb2358", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "e4c01c4f-a506-4344-829e-85931ed37369", "node_type": "1", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "984a8479f7af4728478f4416e9423ccd0fba1ee88ee642778d2e5f6542c416b9", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "410fc5a9-0601-4fe0-a850-351a9fa87d53", "node_type": "1", "metadata": {}, "hash": "a551a29e2378f9a7eb18d026419e44492ad7fc7b046b8ce3af6f72dc8f6f52c9", "class_name": "RelatedNodeInfo"}}, "hash": "83e476ef254927774aeb9767ef53c2925449fd27257d1ea82240a5e39da6c62c", "text": "These steps should be considered as cyclical steps that continuously inform one another and \nnot as a linear, one -off engagement. \n \n#3 - What are some examples of data gathering methods used in CLM efforts? \nCLM efforts can employ a variety of data -gathering methods that follow the five -step process \nlisted above. Some examples include community scorecards, direct observation, and \ncommunity advisory boards. Although data gathering methods may vary, for the purposes of \nPEPFAR COP requirements, these methods must be designed and implemented by local \ncommunities. \nEach of these m ethods assist in improving services at the site level but are also part of a greater \nsystem that improves services at the systems level. Additional resources can be found on the \npublic PEPFAR Solutions Site, CLM Tools page. \n \n\n#4- How often should PEPFAR Coordinators and inter -agency staff meet with Civil \nsociety for CLM ? \nIn terms of community -led monitoring, COP 20 Guidance states (see Section 3.3.1.2, Pg. 98 -99) \nthat \u201cResults from community -led monitoring must be presented safely by community members \nto in-country PEPFAR teams on a quarterly basis (either through a presentation or a report) in \nan environment that will foster honest and genuine discussion of results, including of negative \noutcomes. At a minimum, PEPFAR USG staff should share these finding s with service delivery \nimplementing partners on a quarterly basis. Community members should not be tasked with \nsharing findings with service delivery partners or host governments.\u201d This minimum requirement \ndoes not preclude CSOs, where trust has been esta blished, to share results of CLM directly with \nfacilities or governments. This requirement does ensure that PEPFAR teams are actively \nengaged in reviewing the findings of CLM, in hearing the concerns of local communities, and in \nidentifying solutions. \n \nAs part of a broader CSO engagement strategy , COP guidance (see p. 76, Section 2.5.3) \nrequires OUs to engage and meet with CSOs at least quarterly, prior to POART calls, to brief \nCSOs on PEPFAR progress and obtain their feedback for program improvement.", "start_char_idx": 2258, "end_char_idx": 4420, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "410fc5a9-0601-4fe0-a850-351a9fa87d53": {"__data__": {"id_": "410fc5a9-0601-4fe0-a850-351a9fa87d53", "embedding": null, "metadata": {"document_name": "PEPFAR CLM FAQ"}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "0b4e94f0-9373-4f11-81f5-ccac5c92d4c6", "node_type": "4", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "db415b3f403bb0248355101dd617db30d97482397d6cd8a0718b35d965fb2358", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "84ccbc39-bee0-46d8-8068-b32b4fa84263", "node_type": "1", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "83e476ef254927774aeb9767ef53c2925449fd27257d1ea82240a5e39da6c62c", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "a9df9ce5-8633-4101-9bf4-f5d8d293edf7", "node_type": "1", "metadata": {}, "hash": "8d3c1a9f75da6d716681d775ba4dc875451fc42e98e2d31eb5436c706d30653c", "class_name": "RelatedNodeInfo"}}, "hash": "a551a29e2378f9a7eb18d026419e44492ad7fc7b046b8ce3af6f72dc8f6f52c9", "text": "Th e scope of \nthis engagement may go well beyond CLM and its findings, but OUs may also consider \nintegrating these points of engagement with CSOs. Maintaining regular communication with \nCSO representatives is an effective practice among PEPFAR Coordinators. Best practices for \nadditional engagement by PEPFAR teams may include, holding 1:1 meetings with CSOs to \naddress specific policy issues, designating a point of contact to serve as an \u2018ombudsperson\u2019 for \nCSOs within PCO, and establishing regular opportunitie s for informal interactions between \nPEPFAR and CSOs. \n \n#5- How is PEPFAR accountable to CSOs for CLM results? \nLocal CSOs are key constituents for PEPFAR. PEPFAR prioritizes CSO engagement \nthroughout the entire COP process including COP approval meetings an d pre and/or post -\nPOART calls. PEPFAR teams should ensure local CSOs are given the opportunity to celebrat e \nsuccess, identify barr iers to service, and brainstorm solutions to challenges . As noted above \nand in Section 3.3.2.1, CLM findings must be shared wi th PEPFAR teams and IPs quarterly, at \na minimum. A summary of findings and solutions should be shared as part of POART calls with \nChair/PPM/CAST. Moving forward, CLM must be given attention in CSO meeting agendas, and \nresults shared PEPFAR OU wide. \n \n#6- What is the difference between SIMS and CLM? \nThe Site Improvement through Monitoring System (SIMS) is one of PEPFAR\u2019s core routine data \nstreams . SIMS is a quality assurance methodology used to increase the impact of PEPFAR \nprograms on the HIV epidemic through standardized monitoring of the quality of services at the \nsite- and above -site levels. In short, SIMS is designed to improve the quality of services at the \nsite and above site levels. CLM, on the other hand, provides community generated data and \ninsights that reflect what is relevant to the community and health service users , and the client\u2019s \nperspective .", "start_char_idx": 4422, "end_char_idx": 6366, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "a9df9ce5-8633-4101-9bf4-f5d8d293edf7": {"__data__": {"id_": "a9df9ce5-8633-4101-9bf4-f5d8d293edf7", "embedding": null, "metadata": {"document_name": "PEPFAR CLM FAQ"}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "0b4e94f0-9373-4f11-81f5-ccac5c92d4c6", "node_type": "4", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "db415b3f403bb0248355101dd617db30d97482397d6cd8a0718b35d965fb2358", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "410fc5a9-0601-4fe0-a850-351a9fa87d53", "node_type": "1", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "a551a29e2378f9a7eb18d026419e44492ad7fc7b046b8ce3af6f72dc8f6f52c9", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "660584d0-a038-44cb-b517-3cb2d99140fa", "node_type": "1", "metadata": {}, "hash": "a16e1c868549dedc6268f445c8d79d3c8ff77a4d40b5fd863208ae4a1b9d26d0", "class_name": "RelatedNodeInfo"}}, "hash": "8d3c1a9f75da6d716681d775ba4dc875451fc42e98e2d31eb5436c706d30653c", "text": "CLM, on the other hand, provides community generated data and \ninsights that reflect what is relevant to the community and health service users , and the client\u2019s \nperspective . Through CLM, communities work together with services providers and decision -\nmakers to propose solutions to barriers and previously unaddressed problems and monitor \nwhether the commitments made to address these problems are implemented and impactful. As \nper COP Guidance, \u201cSIMS tools may be utilized [for CLM] for specific and select SIMS \nStandards that assess patient -provider experience\u201d but this is n ot required. PEPFAR envisions \nCLM data, SIMS and MER data will be used collectively to improve the quality of client -centered \nservices. \n \n \n\n#7. Should CLM indicators be standardized or up to the community group to define? \nCLM indicators are developed by community groups , to reflect what is relevant to the \ncommunity towards improv ing health services. The data gathered should reflect a \u201cvalue add\u201d \nand not duplicate data collected through other routine data gathering processes and systems \n(e.g. MER, SIMS). T he CLM indicators should also attempt to gather data related to the \nexperience of recipients of services, barriers and enablers to access and continuity of services, \netc. The inclusion of these standard indicators could be helpful for advocacy beyond the \ncommunity level. \n \n#8- How will PEPFAR review the CLM data? \nOUs should also plan to summarize findings from CLM and identified solutions for POART calls \nand COP meetings. As per COP Guidance, \u201cPEPFAR teams must ensure they are triangulating \ncommunity -led moni toring findings with other PEPFAR data sources, including MER results and \nSIMS scores, and using these data as part of their Partner Management approach.\u201d Local \nindependent CSOs , working with PEPFAR teams, are encouraged to triangulate CLM data and \noutcome s for each POART with MER, and SIMS , based on the data that is publicly available \nand released within PEPFAR data governance policies . During quarterly POART discussions \nand COP review processes, recommendations from CLM will be included in discussion in \nformulating course corrections. \n \n \n#9 - Who owns the CLM data?", "start_char_idx": 6189, "end_char_idx": 8419, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "660584d0-a038-44cb-b517-3cb2d99140fa": {"__data__": {"id_": "660584d0-a038-44cb-b517-3cb2d99140fa", "embedding": null, "metadata": {"document_name": "PEPFAR CLM FAQ"}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "0b4e94f0-9373-4f11-81f5-ccac5c92d4c6", "node_type": "4", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "db415b3f403bb0248355101dd617db30d97482397d6cd8a0718b35d965fb2358", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "a9df9ce5-8633-4101-9bf4-f5d8d293edf7", "node_type": "1", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "8d3c1a9f75da6d716681d775ba4dc875451fc42e98e2d31eb5436c706d30653c", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "a36047c6-5e04-4e6a-8e94-b8189ff2504d", "node_type": "1", "metadata": {}, "hash": "19f61619ac40a483df3204923035cf65a4ee2dea79792529c8f17649d3f45211", "class_name": "RelatedNodeInfo"}}, "hash": "a16e1c868549dedc6268f445c8d79d3c8ff77a4d40b5fd863208ae4a1b9d26d0", "text": "During quarterly POART discussions \nand COP review processes, recommendations from CLM will be included in discussion in \nformulating course corrections. \n \n \n#9 - Who owns the CLM data? \nAs per COP20 Guidance, a s part of a commitment to transparency and accountability, \ncommu nity-led monitoring findings should be made as accessible as possible (while ensuring \nsafely and confidentiality) for use by all stakeholders (within the context of PEPFAR\u2019s current \nData Governance policies). \n \n#11- Does CLM have to be used for specific population groups (KP) or can it be used for \nadult C&T? \nAs per COP 20 Guidance, \u201cthe collective objective of community -led monitoring is to develop a \nshared understanding of the enablers and barriers to treatment continuity in a manner that is \nproductive, co llaborative, respectful, and solutions -oriented\u2026. t he scope and scale of \ncommunity -led monitoring should be determined by community members for each OU\u2026but \nshould be based on need .\u201d \nCLM should consider priorities for all population groups. That said, CLM is meant to respond to \nthe priorities and needs of the users of health services and marginalized groups who struggle to \naccess health services and will be context -specific . CLM is meant to improve service delivery, \nso attention should be paid to key or priority populations who are unable or unwilling to access \nservices. Local independent CSOs should define what services for which populations will be \nmonitored, analyzed, and imp roved upon according to the local context. \n \n \n#12- Can PEPFAR -funded IPs conduct CLM activities? \nPer COP 20 guidance, community -led monitoring must be conducted by independent and local \norganizations. For this reason, the Department of State Ambassador\u2019s G rants mechanism is \nthe preferred mechanism. PEPFAR Implementing partners who currently work on service \ndelivery at the site level cannot meet this requirement for community -led monitoring. However, it \nis understood that this approach is challenging in som e contexts. Such reasons may include: \n\nthe level of trust and engagement between government and civil society; the experience local \nactors may have in evidence -based advocacy; or the initial capacity needed to effectively lead a \nCLM process.", "start_char_idx": 8230, "end_char_idx": 10520, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "a36047c6-5e04-4e6a-8e94-b8189ff2504d": {"__data__": {"id_": "a36047c6-5e04-4e6a-8e94-b8189ff2504d", "embedding": null, "metadata": {"document_name": "PEPFAR CLM FAQ"}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "0b4e94f0-9373-4f11-81f5-ccac5c92d4c6", "node_type": "4", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "db415b3f403bb0248355101dd617db30d97482397d6cd8a0718b35d965fb2358", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "660584d0-a038-44cb-b517-3cb2d99140fa", "node_type": "1", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "a16e1c868549dedc6268f445c8d79d3c8ff77a4d40b5fd863208ae4a1b9d26d0", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "86e7fafb-b7c2-4125-936b-e1d24594ac9d", "node_type": "1", "metadata": {}, "hash": "67d4433bfdb59add0c0fcbb909b92f52856bfc02dd8f201b86bf345ea9f47e1b", "class_name": "RelatedNodeInfo"}}, "hash": "19f61619ac40a483df3204923035cf65a4ee2dea79792529c8f17649d3f45211", "text": "Such reasons may include: \n\nthe level of trust and engagement between government and civil society; the experience local \nactors may have in evidence -based advocacy; or the initial capacity needed to effectively lead a \nCLM process. \nIn cases such as these, OUs may consider utilizing UNAIDS, or a non -service delivery IP. In \nboth cases, the sub -grantee(s) must be a local independent CSO who will do CLM work in \naccordance with the principles in the COP20 Guidance. \n \n #13- Are there example dash boards available to visualize CLM data? \nThere are a number of dashboard examples available to visualize CLM data. One example is a \ntableau dashboard developed by CDC, originally derived from the Local Capacity Initiative, a \ncentral initiative . The tableau dashboard tracks community scorecard data over time and \ncaptures changes in treatment, continuity of treatment , and availability of other tools. The \ndashboard also includes an advocacy tracker, which allows for the tracking of priorities shared \nby community members in t heir scorecards. CDC is currently exploring the possibility of \nlicensing this dashboard through the Tableau Foundation for use by CSOs in East Africa. \n \n#14- How will PEPFAR ensure CSOs have capacity to collect data and share CLM \nresults? \n \nAs per COP G uidance, CLM activities should not be a one-off data gathering method ; rather it \nshould be routine , systematic and action -oriented . In many cases, local organizations will need \nto strengthen or develop technical capacities across the five steps described in q uestion 2, in \naddition to data collection and the dissemination of results. Providing TA and identifying other \nsources of support, including the Global Fund and UNAIDS , will contribute to the long -term \nstrengthening of local CLM systems and actors. \n \n \n#15- Should PEPFAR supported CLM activities collect data only at PEPFAR -supported \nsites that support service delivery? OR all sites? What about in countries where \nPEPFAR -supported sites are limited? \n \nAs per COP20 Guidance, CLM activities funded under PEPFAR s hould target PEPFAR -\nsupported sites.", "start_char_idx": 10287, "end_char_idx": 12432, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "86e7fafb-b7c2-4125-936b-e1d24594ac9d": {"__data__": {"id_": "86e7fafb-b7c2-4125-936b-e1d24594ac9d", "embedding": null, "metadata": {"document_name": "PEPFAR CLM FAQ"}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "0b4e94f0-9373-4f11-81f5-ccac5c92d4c6", "node_type": "4", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "db415b3f403bb0248355101dd617db30d97482397d6cd8a0718b35d965fb2358", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "a36047c6-5e04-4e6a-8e94-b8189ff2504d", "node_type": "1", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "19f61619ac40a483df3204923035cf65a4ee2dea79792529c8f17649d3f45211", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "34c1ea2a-efa3-4046-bc80-602aa13e3a96", "node_type": "1", "metadata": {}, "hash": "9a29ef347aec1f7b4173862bebfbe1b97f02232cbcfe78c96facc4e44921bbe2", "class_name": "RelatedNodeInfo"}}, "hash": "67d4433bfdb59add0c0fcbb909b92f52856bfc02dd8f201b86bf345ea9f47e1b", "text": "What about in countries where \nPEPFAR -supported sites are limited? \n \nAs per COP20 Guidance, CLM activities funded under PEPFAR s hould target PEPFAR -\nsupported sites. In countries with limited PEPFAR -funded site level support , PEPFAR teams \nshould strategically consider what would works best for their context, in consultation with their \nChair and relevant Agency POCs. These sites could reflect a range of local contexts to identify \ndiverse barriers to access health services (urban vs rural, specific geographic areas etc). \n \n#16 - Have community -led monitoring efforts also included monitoring of the quality of \nservices for tuberculosis diagnosis and treatment for PLHIV? Are there examples that \ncan be shared? \n \nCLM activities need to take a holistic, and patient -centered approach in order to fully understand \npatient care and the barriers encountered by users of health services. Given that facilities \n\ngenerally offer a variety of services beyond HIV, issues related to these or the overall \nmanagement of the facility may be critical barriers to users accessing health services. \nTherefore, while PEPFAR -funded CLM activities should emphasize HIV prevention, care and \ntreatment services , scope and prioritization of sites and services should be driven by CSOs. \n \n \n \n#17 Are there any plans to include/integrate CLM for quality of services for HIV negative \npartners to stay negative and retain in prevention services? \n \nCLM has emerged as solution to address significant treatment disruption challenges PEPFAR -\nwide. CLM can be appropriate for the full spectrum of HIV services inclu ding prevention and \ntreatment . However, as mentioned above in question 16, CLM efforts gather additional \ninformation that may help identify unaddressed problems that may contribute to the \neffectiveness of prevention and treatment continuity services, among others. Scope and \nprioritization of sites and services should be driven by CSOs. \n \n \n#18 - How do you implement CLM among clients that cannot read or write? Especially in \nrural populations? \n \nA critical element of CLM activities is the involvement of community members and users of \nhealth services in defining the key metrics and indicat ors that the CLM activity will monitor.", "start_char_idx": 12260, "end_char_idx": 14542, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "34c1ea2a-efa3-4046-bc80-602aa13e3a96": {"__data__": {"id_": "34c1ea2a-efa3-4046-bc80-602aa13e3a96", "embedding": null, "metadata": {"document_name": "PEPFAR CLM FAQ"}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "0b4e94f0-9373-4f11-81f5-ccac5c92d4c6", "node_type": "4", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "db415b3f403bb0248355101dd617db30d97482397d6cd8a0718b35d965fb2358", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "86e7fafb-b7c2-4125-936b-e1d24594ac9d", "node_type": "1", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "67d4433bfdb59add0c0fcbb909b92f52856bfc02dd8f201b86bf345ea9f47e1b", "class_name": "RelatedNodeInfo"}}, "hash": "9a29ef347aec1f7b4173862bebfbe1b97f02232cbcfe78c96facc4e44921bbe2", "text": "Especially in \nrural populations? \n \nA critical element of CLM activities is the involvement of community members and users of \nhealth services in defining the key metrics and indicat ors that the CLM activity will monitor. \nIdeally, community members should also provide input in the selection of data gathering tools \nthat are contextually appropriate and respond to factors that could impede the effective \ngathering and dissemination of d ata and information. These factors could include, among \nothers, the literacy levels of community members. Community organizations leading CLM \nactivities should also be flexible in their data gathering methods. For example, surveys can be \nadministered verba lly. An added benefit of working with community organizations will be their \nfamiliarity with what works among the specific populations that the CLM activity engages.", "start_char_idx": 14318, "end_char_idx": 15189, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}}, "docstore/ref_doc_info": {"0b4e94f0-9373-4f11-81f5-ccac5c92d4c6": {"node_ids": ["e4c01c4f-a506-4344-829e-85931ed37369", "84ccbc39-bee0-46d8-8068-b32b4fa84263", "410fc5a9-0601-4fe0-a850-351a9fa87d53", "a9df9ce5-8633-4101-9bf4-f5d8d293edf7", "660584d0-a038-44cb-b517-3cb2d99140fa", "a36047c6-5e04-4e6a-8e94-b8189ff2504d", "86e7fafb-b7c2-4125-936b-e1d24594ac9d", "34c1ea2a-efa3-4046-bc80-602aa13e3a96"], "metadata": {"document_name": "PEPFAR CLM FAQ"}}}}
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CLM adds a critical missing data stream, the perspective of \nthe patient/beneficiary. \n\u25cf CLM goes beyond being a monitoring activity that simply identifies problems but instead, \nis an approach that is meant to generate ad vocacy and accountability among health \nfacilities, PEPFAR and local communities. CLM gives communities a key role in \ngenerating critical data for use by decision -makers and service providers. \n \nCLM requires a focus on long-term relationships among communit y actors, service providers, \ngovernment representatives and donors . \n \n#2- What are examples of CLM? \nCLM approaches will vary by context, geographic scope, target population, budget, and other \nfactors. A characteristic shared by any successful CLM example wil l be a focus on addressing \nthe concerns and needs of recipients of services. Key metrics and indicators that the CLM \nactivity will monitor should be defined by recipients of services and other community members \nand advocates. Once the indicators have been defined by the community, CLM activities tend to \nfollow these cyclic steps: \n1) data collection at facility and community level; \n2) data analysis and identification of actionable solutions; \n3) dissemination of findings and engagement with key decision ma kers; \n4) evidence -based advocacy at the facility -level, district -level, provincial or regional -level, \nand national -level; \n5) monitoring of proposed solutions and corrective measures.", "start_char_idx": 0, "end_char_idx": 2255, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "9bfa348a-78fc-4386-b40b-7211f29b04d5": {"__data__": {"id_": "9bfa348a-78fc-4386-b40b-7211f29b04d5", "embedding": null, "metadata": {"document_name": "PEPFAR CLM FAQ"}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "0b4e94f0-9373-4f11-81f5-ccac5c92d4c6", "node_type": "4", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "db415b3f403bb0248355101dd617db30d97482397d6cd8a0718b35d965fb2358", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "6621c052-bdbc-464b-b88f-6b83a5bb6885", "node_type": "1", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "984a8479f7af4728478f4416e9423ccd0fba1ee88ee642778d2e5f6542c416b9", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "cb2bfe96-3069-4fa6-9a28-01da449c03e1", "node_type": "1", "metadata": {}, "hash": "a551a29e2378f9a7eb18d026419e44492ad7fc7b046b8ce3af6f72dc8f6f52c9", "class_name": "RelatedNodeInfo"}}, "hash": "83e476ef254927774aeb9767ef53c2925449fd27257d1ea82240a5e39da6c62c", "text": "These steps should be considered as cyclical steps that continuously inform one another and \nnot as a linear, one -off engagement. \n \n#3 - What are some examples of data gathering methods used in CLM efforts? \nCLM efforts can employ a variety of data -gathering methods that follow the five -step process \nlisted above. Some examples include community scorecards, direct observation, and \ncommunity advisory boards. Although data gathering methods may vary, for the purposes of \nPEPFAR COP requirements, these methods must be designed and implemented by local \ncommunities. \nEach of these m ethods assist in improving services at the site level but are also part of a greater \nsystem that improves services at the systems level. Additional resources can be found on the \npublic PEPFAR Solutions Site, CLM Tools page. \n \n\n#4- How often should PEPFAR Coordinators and inter -agency staff meet with Civil \nsociety for CLM ? \nIn terms of community -led monitoring, COP 20 Guidance states (see Section 3.3.1.2, Pg. 98 -99) \nthat \u201cResults from community -led monitoring must be presented safely by community members \nto in-country PEPFAR teams on a quarterly basis (either through a presentation or a report) in \nan environment that will foster honest and genuine discussion of results, including of negative \noutcomes. At a minimum, PEPFAR USG staff should share these finding s with service delivery \nimplementing partners on a quarterly basis. Community members should not be tasked with \nsharing findings with service delivery partners or host governments.\u201d This minimum requirement \ndoes not preclude CSOs, where trust has been esta blished, to share results of CLM directly with \nfacilities or governments. This requirement does ensure that PEPFAR teams are actively \nengaged in reviewing the findings of CLM, in hearing the concerns of local communities, and in \nidentifying solutions. \n \nAs part of a broader CSO engagement strategy , COP guidance (see p. 76, Section 2.5.3) \nrequires OUs to engage and meet with CSOs at least quarterly, prior to POART calls, to brief \nCSOs on PEPFAR progress and obtain their feedback for program improvement.", "start_char_idx": 2258, "end_char_idx": 4420, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "cb2bfe96-3069-4fa6-9a28-01da449c03e1": {"__data__": {"id_": "cb2bfe96-3069-4fa6-9a28-01da449c03e1", "embedding": null, "metadata": {"document_name": "PEPFAR CLM FAQ"}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "0b4e94f0-9373-4f11-81f5-ccac5c92d4c6", "node_type": "4", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "db415b3f403bb0248355101dd617db30d97482397d6cd8a0718b35d965fb2358", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "9bfa348a-78fc-4386-b40b-7211f29b04d5", "node_type": "1", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "83e476ef254927774aeb9767ef53c2925449fd27257d1ea82240a5e39da6c62c", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "e61282a2-9c99-485b-b387-c8e2f79796f9", "node_type": "1", "metadata": {}, "hash": "8d3c1a9f75da6d716681d775ba4dc875451fc42e98e2d31eb5436c706d30653c", "class_name": "RelatedNodeInfo"}}, "hash": "a551a29e2378f9a7eb18d026419e44492ad7fc7b046b8ce3af6f72dc8f6f52c9", "text": "Th e scope of \nthis engagement may go well beyond CLM and its findings, but OUs may also consider \nintegrating these points of engagement with CSOs. Maintaining regular communication with \nCSO representatives is an effective practice among PEPFAR Coordinators. Best practices for \nadditional engagement by PEPFAR teams may include, holding 1:1 meetings with CSOs to \naddress specific policy issues, designating a point of contact to serve as an \u2018ombudsperson\u2019 for \nCSOs within PCO, and establishing regular opportunitie s for informal interactions between \nPEPFAR and CSOs. \n \n#5- How is PEPFAR accountable to CSOs for CLM results? \nLocal CSOs are key constituents for PEPFAR. PEPFAR prioritizes CSO engagement \nthroughout the entire COP process including COP approval meetings an d pre and/or post -\nPOART calls. PEPFAR teams should ensure local CSOs are given the opportunity to celebrat e \nsuccess, identify barr iers to service, and brainstorm solutions to challenges . As noted above \nand in Section 3.3.2.1, CLM findings must be shared wi th PEPFAR teams and IPs quarterly, at \na minimum. A summary of findings and solutions should be shared as part of POART calls with \nChair/PPM/CAST. Moving forward, CLM must be given attention in CSO meeting agendas, and \nresults shared PEPFAR OU wide. \n \n#6- What is the difference between SIMS and CLM? \nThe Site Improvement through Monitoring System (SIMS) is one of PEPFAR\u2019s core routine data \nstreams . SIMS is a quality assurance methodology used to increase the impact of PEPFAR \nprograms on the HIV epidemic through standardized monitoring of the quality of services at the \nsite- and above -site levels. In short, SIMS is designed to improve the quality of services at the \nsite and above site levels. CLM, on the other hand, provides community generated data and \ninsights that reflect what is relevant to the community and health service users , and the client\u2019s \nperspective .", "start_char_idx": 4422, "end_char_idx": 6366, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "e61282a2-9c99-485b-b387-c8e2f79796f9": {"__data__": {"id_": "e61282a2-9c99-485b-b387-c8e2f79796f9", "embedding": null, "metadata": {"document_name": "PEPFAR CLM FAQ"}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "0b4e94f0-9373-4f11-81f5-ccac5c92d4c6", "node_type": "4", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "db415b3f403bb0248355101dd617db30d97482397d6cd8a0718b35d965fb2358", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "cb2bfe96-3069-4fa6-9a28-01da449c03e1", "node_type": "1", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "a551a29e2378f9a7eb18d026419e44492ad7fc7b046b8ce3af6f72dc8f6f52c9", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "f80509c5-dcf1-4732-914a-65a48b863e63", "node_type": "1", "metadata": {}, "hash": "a16e1c868549dedc6268f445c8d79d3c8ff77a4d40b5fd863208ae4a1b9d26d0", "class_name": "RelatedNodeInfo"}}, "hash": "8d3c1a9f75da6d716681d775ba4dc875451fc42e98e2d31eb5436c706d30653c", "text": "CLM, on the other hand, provides community generated data and \ninsights that reflect what is relevant to the community and health service users , and the client\u2019s \nperspective . Through CLM, communities work together with services providers and decision -\nmakers to propose solutions to barriers and previously unaddressed problems and monitor \nwhether the commitments made to address these problems are implemented and impactful. As \nper COP Guidance, \u201cSIMS tools may be utilized [for CLM] for specific and select SIMS \nStandards that assess patient -provider experience\u201d but this is n ot required. PEPFAR envisions \nCLM data, SIMS and MER data will be used collectively to improve the quality of client -centered \nservices. \n \n \n\n#7. Should CLM indicators be standardized or up to the community group to define? \nCLM indicators are developed by community groups , to reflect what is relevant to the \ncommunity towards improv ing health services. The data gathered should reflect a \u201cvalue add\u201d \nand not duplicate data collected through other routine data gathering processes and systems \n(e.g. MER, SIMS). T he CLM indicators should also attempt to gather data related to the \nexperience of recipients of services, barriers and enablers to access and continuity of services, \netc. The inclusion of these standard indicators could be helpful for advocacy beyond the \ncommunity level. \n \n#8- How will PEPFAR review the CLM data? \nOUs should also plan to summarize findings from CLM and identified solutions for POART calls \nand COP meetings. As per COP Guidance, \u201cPEPFAR teams must ensure they are triangulating \ncommunity -led moni toring findings with other PEPFAR data sources, including MER results and \nSIMS scores, and using these data as part of their Partner Management approach.\u201d Local \nindependent CSOs , working with PEPFAR teams, are encouraged to triangulate CLM data and \noutcome s for each POART with MER, and SIMS , based on the data that is publicly available \nand released within PEPFAR data governance policies . During quarterly POART discussions \nand COP review processes, recommendations from CLM will be included in discussion in \nformulating course corrections. \n \n \n#9 - Who owns the CLM data?", "start_char_idx": 6189, "end_char_idx": 8419, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "f80509c5-dcf1-4732-914a-65a48b863e63": {"__data__": {"id_": "f80509c5-dcf1-4732-914a-65a48b863e63", "embedding": null, "metadata": {"document_name": "PEPFAR CLM FAQ"}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "0b4e94f0-9373-4f11-81f5-ccac5c92d4c6", "node_type": "4", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "db415b3f403bb0248355101dd617db30d97482397d6cd8a0718b35d965fb2358", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "e61282a2-9c99-485b-b387-c8e2f79796f9", "node_type": "1", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "8d3c1a9f75da6d716681d775ba4dc875451fc42e98e2d31eb5436c706d30653c", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "96dd9eb3-b8d0-4a5f-8dfb-17ba8ad1b26f", "node_type": "1", "metadata": {}, "hash": "19f61619ac40a483df3204923035cf65a4ee2dea79792529c8f17649d3f45211", "class_name": "RelatedNodeInfo"}}, "hash": "a16e1c868549dedc6268f445c8d79d3c8ff77a4d40b5fd863208ae4a1b9d26d0", "text": "During quarterly POART discussions \nand COP review processes, recommendations from CLM will be included in discussion in \nformulating course corrections. \n \n \n#9 - Who owns the CLM data? \nAs per COP20 Guidance, a s part of a commitment to transparency and accountability, \ncommu nity-led monitoring findings should be made as accessible as possible (while ensuring \nsafely and confidentiality) for use by all stakeholders (within the context of PEPFAR\u2019s current \nData Governance policies). \n \n#11- Does CLM have to be used for specific population groups (KP) or can it be used for \nadult C&T? \nAs per COP 20 Guidance, \u201cthe collective objective of community -led monitoring is to develop a \nshared understanding of the enablers and barriers to treatment continuity in a manner that is \nproductive, co llaborative, respectful, and solutions -oriented\u2026. t he scope and scale of \ncommunity -led monitoring should be determined by community members for each OU\u2026but \nshould be based on need .\u201d \nCLM should consider priorities for all population groups. That said, CLM is meant to respond to \nthe priorities and needs of the users of health services and marginalized groups who struggle to \naccess health services and will be context -specific . CLM is meant to improve service delivery, \nso attention should be paid to key or priority populations who are unable or unwilling to access \nservices. Local independent CSOs should define what services for which populations will be \nmonitored, analyzed, and imp roved upon according to the local context. \n \n \n#12- Can PEPFAR -funded IPs conduct CLM activities? \nPer COP 20 guidance, community -led monitoring must be conducted by independent and local \norganizations. For this reason, the Department of State Ambassador\u2019s G rants mechanism is \nthe preferred mechanism. PEPFAR Implementing partners who currently work on service \ndelivery at the site level cannot meet this requirement for community -led monitoring. However, it \nis understood that this approach is challenging in som e contexts. Such reasons may include: \n\nthe level of trust and engagement between government and civil society; the experience local \nactors may have in evidence -based advocacy; or the initial capacity needed to effectively lead a \nCLM process.", "start_char_idx": 8230, "end_char_idx": 10520, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "96dd9eb3-b8d0-4a5f-8dfb-17ba8ad1b26f": {"__data__": {"id_": "96dd9eb3-b8d0-4a5f-8dfb-17ba8ad1b26f", "embedding": null, "metadata": {"document_name": "PEPFAR CLM FAQ"}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "0b4e94f0-9373-4f11-81f5-ccac5c92d4c6", "node_type": "4", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "db415b3f403bb0248355101dd617db30d97482397d6cd8a0718b35d965fb2358", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "f80509c5-dcf1-4732-914a-65a48b863e63", "node_type": "1", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "a16e1c868549dedc6268f445c8d79d3c8ff77a4d40b5fd863208ae4a1b9d26d0", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "ea9e0043-c7ec-402a-86ac-d27ab872e446", "node_type": "1", "metadata": {}, "hash": "67d4433bfdb59add0c0fcbb909b92f52856bfc02dd8f201b86bf345ea9f47e1b", "class_name": "RelatedNodeInfo"}}, "hash": "19f61619ac40a483df3204923035cf65a4ee2dea79792529c8f17649d3f45211", "text": "Such reasons may include: \n\nthe level of trust and engagement between government and civil society; the experience local \nactors may have in evidence -based advocacy; or the initial capacity needed to effectively lead a \nCLM process. \nIn cases such as these, OUs may consider utilizing UNAIDS, or a non -service delivery IP. In \nboth cases, the sub -grantee(s) must be a local independent CSO who will do CLM work in \naccordance with the principles in the COP20 Guidance. \n \n #13- Are there example dash boards available to visualize CLM data? \nThere are a number of dashboard examples available to visualize CLM data. One example is a \ntableau dashboard developed by CDC, originally derived from the Local Capacity Initiative, a \ncentral initiative . The tableau dashboard tracks community scorecard data over time and \ncaptures changes in treatment, continuity of treatment , and availability of other tools. The \ndashboard also includes an advocacy tracker, which allows for the tracking of priorities shared \nby community members in t heir scorecards. CDC is currently exploring the possibility of \nlicensing this dashboard through the Tableau Foundation for use by CSOs in East Africa. \n \n#14- How will PEPFAR ensure CSOs have capacity to collect data and share CLM \nresults? \n \nAs per COP G uidance, CLM activities should not be a one-off data gathering method ; rather it \nshould be routine , systematic and action -oriented . In many cases, local organizations will need \nto strengthen or develop technical capacities across the five steps described in q uestion 2, in \naddition to data collection and the dissemination of results. Providing TA and identifying other \nsources of support, including the Global Fund and UNAIDS , will contribute to the long -term \nstrengthening of local CLM systems and actors. \n \n \n#15- Should PEPFAR supported CLM activities collect data only at PEPFAR -supported \nsites that support service delivery? OR all sites? What about in countries where \nPEPFAR -supported sites are limited? \n \nAs per COP20 Guidance, CLM activities funded under PEPFAR s hould target PEPFAR -\nsupported sites.", "start_char_idx": 10287, "end_char_idx": 12432, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "ea9e0043-c7ec-402a-86ac-d27ab872e446": {"__data__": {"id_": "ea9e0043-c7ec-402a-86ac-d27ab872e446", "embedding": null, "metadata": {"document_name": "PEPFAR CLM FAQ"}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "0b4e94f0-9373-4f11-81f5-ccac5c92d4c6", "node_type": "4", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "db415b3f403bb0248355101dd617db30d97482397d6cd8a0718b35d965fb2358", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "96dd9eb3-b8d0-4a5f-8dfb-17ba8ad1b26f", "node_type": "1", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "19f61619ac40a483df3204923035cf65a4ee2dea79792529c8f17649d3f45211", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "11d64985-c179-4606-b088-446bbaef66c5", "node_type": "1", "metadata": {}, "hash": "9a29ef347aec1f7b4173862bebfbe1b97f02232cbcfe78c96facc4e44921bbe2", "class_name": "RelatedNodeInfo"}}, "hash": "67d4433bfdb59add0c0fcbb909b92f52856bfc02dd8f201b86bf345ea9f47e1b", "text": "What about in countries where \nPEPFAR -supported sites are limited? \n \nAs per COP20 Guidance, CLM activities funded under PEPFAR s hould target PEPFAR -\nsupported sites. In countries with limited PEPFAR -funded site level support , PEPFAR teams \nshould strategically consider what would works best for their context, in consultation with their \nChair and relevant Agency POCs. These sites could reflect a range of local contexts to identify \ndiverse barriers to access health services (urban vs rural, specific geographic areas etc). \n \n#16 - Have community -led monitoring efforts also included monitoring of the quality of \nservices for tuberculosis diagnosis and treatment for PLHIV? Are there examples that \ncan be shared? \n \nCLM activities need to take a holistic, and patient -centered approach in order to fully understand \npatient care and the barriers encountered by users of health services. Given that facilities \n\ngenerally offer a variety of services beyond HIV, issues related to these or the overall \nmanagement of the facility may be critical barriers to users accessing health services. \nTherefore, while PEPFAR -funded CLM activities should emphasize HIV prevention, care and \ntreatment services , scope and prioritization of sites and services should be driven by CSOs. \n \n \n \n#17 Are there any plans to include/integrate CLM for quality of services for HIV negative \npartners to stay negative and retain in prevention services? \n \nCLM has emerged as solution to address significant treatment disruption challenges PEPFAR -\nwide. CLM can be appropriate for the full spectrum of HIV services inclu ding prevention and \ntreatment . However, as mentioned above in question 16, CLM efforts gather additional \ninformation that may help identify unaddressed problems that may contribute to the \neffectiveness of prevention and treatment continuity services, among others. Scope and \nprioritization of sites and services should be driven by CSOs. \n \n \n#18 - How do you implement CLM among clients that cannot read or write? Especially in \nrural populations? \n \nA critical element of CLM activities is the involvement of community members and users of \nhealth services in defining the key metrics and indicat ors that the CLM activity will monitor.", "start_char_idx": 12260, "end_char_idx": 14542, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "11d64985-c179-4606-b088-446bbaef66c5": {"__data__": {"id_": "11d64985-c179-4606-b088-446bbaef66c5", "embedding": null, "metadata": {"document_name": "PEPFAR CLM FAQ"}, "excluded_embed_metadata_keys": [], "excluded_llm_metadata_keys": [], "relationships": {"1": {"node_id": "0b4e94f0-9373-4f11-81f5-ccac5c92d4c6", "node_type": "4", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "db415b3f403bb0248355101dd617db30d97482397d6cd8a0718b35d965fb2358", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "ea9e0043-c7ec-402a-86ac-d27ab872e446", "node_type": "1", "metadata": {"document_name": "PEPFAR CLM FAQ"}, "hash": "67d4433bfdb59add0c0fcbb909b92f52856bfc02dd8f201b86bf345ea9f47e1b", "class_name": "RelatedNodeInfo"}}, "hash": "9a29ef347aec1f7b4173862bebfbe1b97f02232cbcfe78c96facc4e44921bbe2", "text": "Especially in \nrural populations? \n \nA critical element of CLM activities is the involvement of community members and users of \nhealth services in defining the key metrics and indicat ors that the CLM activity will monitor. \nIdeally, community members should also provide input in the selection of data gathering tools \nthat are contextually appropriate and respond to factors that could impede the effective \ngathering and dissemination of d ata and information. These factors could include, among \nothers, the literacy levels of community members. Community organizations leading CLM \nactivities should also be flexible in their data gathering methods. For example, surveys can be \nadministered verba lly. An added benefit of working with community organizations will be their \nfamiliarity with what works among the specific populations that the CLM activity engages.", "start_char_idx": 14318, "end_char_idx": 15189, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}}, "docstore/ref_doc_info": {"0b4e94f0-9373-4f11-81f5-ccac5c92d4c6": {"node_ids": ["6621c052-bdbc-464b-b88f-6b83a5bb6885", "9bfa348a-78fc-4386-b40b-7211f29b04d5", "cb2bfe96-3069-4fa6-9a28-01da449c03e1", "e61282a2-9c99-485b-b387-c8e2f79796f9", "f80509c5-dcf1-4732-914a-65a48b863e63", "96dd9eb3-b8d0-4a5f-8dfb-17ba8ad1b26f", "ea9e0043-c7ec-402a-86ac-d27ab872e446", "11d64985-c179-4606-b088-446bbaef66c5"], "metadata": {"document_name": "PEPFAR CLM FAQ"}}}}
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