Datasets:

electricsheepafrica
/

chw-performance-supervision

id int64	chw_age_years int64	chw_sex string	chw_education string	years_experience int64	chw_type string	initial_training_weeks int64	refresher_training_12mo int64	catchment_population int64	catchment_households int64	distance_to_facility_km float64	home_visits_month int64	under5_assessed int64	malaria_rdt_performed int64	malaria_rdt_positive int64	pneumonia_assessed int64	diarrhoea_cases_managed int64	ors_zinc_given int64	anc_referrals int64	postnatal_visits int64	health_talks_conducted int64	nutrition_screenings_muac int64	referrals_made int64	referrals_completed int64	deaths_reported int64	supervision_visit_received int64	supervisor_used_checklist int64	supervision_score float64	peer_support_meeting int64	stockout_any int64	stockout_act int64	stockout_ors int64	stockout_rdt int64	stockout_amoxicillin int64	report_submitted_on_time int64	reporting_tool string	iccm_classification_accuracy float64	motivation_score float64	active_status string	community_trust_score float64
1	23	F	tertiary	11	stipend	1	0	2,339	389	15.6	29	7	4	1	2	2	1	2	5	3	9	6	2	0	1	0	-1	0	0	0	0	0	0	0	paper	0.73	3.5	active	3.7
2	28	F	primary	10	volunteer	6	0	1,678	279	2.8	25	6	3	0	2	1	0	4	0	4	4	6	3	0	1	1	47	0	1	0	1	0	1	1	paper	0.79	2.1	active	2.4
3	31	M	secondary	14	volunteer	8	0	1,152	192	5.3	28	6	5	1	1	1	0	4	3	1	13	2	1	0	0	0	-1	0	1	0	1	0	0	0	digital	0.95	4.6	active	2.7
4	38	F	primary	7	stipend	4	1	1,409	234	12.5	28	6	3	1	1	1	0	3	0	6	7	3	1	2	0	0	-1	0	0	0	0	0	0	1	paper	0.76	3.9	active	4.7
5	33	M	primary	3	volunteer	6	1	2,366	591	1.4	20	3	2	0	1	0	0	1	1	6	8	4	2	1	0	0	-1	1	0	0	0	0	0	1	digital	0.81	3.3	active	5
6	26	M	secondary	13	stipend	1	1	1,219	203	3.2	10	3	2	0	1	0	0	4	3	2	14	4	1	0	1	1	68	1	0	0	0	0	0	0	paper	0.89	3.4	active	2.9
7	38	F	primary	0	volunteer	4	1	1,205	301	1.8	32	7	5	0	3	1	0	6	3	3	0	4	1	0	1	0	-1	0	0	0	0	0	0	1	paper	1	3.7	active	3.3
8	46	F	secondary	9	volunteer	6	0	2,797	699	5.6	36	23	12	5	5	8	7	6	1	7	5	2	1	0	0	0	-1	0	1	0	0	1	1	1	digital	0.79	3.5	active	3.4
9	24	F	none	10	stipend	4	1	2,129	354	3.8	37	17	14	5	4	5	4	0	2	5	0	7	4	0	1	1	68	1	0	0	0	0	0	0	digital	0.84	3.9	active	2.5
10	53	M	primary	3	stipend	8	0	2,615	435	8.2	29	18	13	5	4	6	3	4	1	3	5	7	3	0	0	0	-1	0	1	0	0	0	1	1	paper	0.86	2.4	active	3.5
11	54	F	primary	6	stipend	2	1	1,246	249	1.3	39	10	7	2	3	3	1	4	5	4	10	3	1	0	0	0	-1	1	0	0	0	0	0	0	paper	0.89	2.8	active	1.1
12	37	M	secondary	14	volunteer	6	0	2,382	476	8.8	29	15	10	2	3	5	4	4	1	4	6	2	0	0	1	1	40	0	0	0	0	0	0	1	paper	0.78	3.5	active	4.1
13	50	M	secondary	5	stipend	8	0	1,577	262	6.5	20	1	0	0	0	0	0	2	1	4	9	11	6	0	0	0	-1	0	0	0	0	0	0	0	paper	0.93	2.2	active	3.2
14	53	M	secondary	7	salaried	4	0	2,124	531	11.9	24	12	9	1	3	1	0	6	2	0	9	4	1	1	0	0	-1	1	0	0	0	0	0	1	paper	0.73	2.8	active	3.9
15	35	M	none	10	volunteer	4	1	798	159	16.9	31	10	6	1	3	1	0	0	2	6	1	7	2	1	0	0	-1	0	0	0	0	0	0	1	paper	0.93	2.9	active	3.1
16	29	F	secondary	11	volunteer	6	0	2,448	489	7.9	38	3	1	0	0	0	0	2	0	2	4	3	1	1	0	0	-1	0	1	0	0	0	1	1	digital	0.6	2.3	active	3.7
17	28	F	secondary	13	stipend	2	1	1,297	324	7.8	31	16	8	1	6	3	2	2	2	7	4	5	1	0	1	1	57	0	0	0	0	0	0	0	paper	0.88	4.2	active	3.7
18	43	F	secondary	10	salaried	1	1	1,883	313	0.9	30	13	11	3	5	2	1	4	2	5	12	4	2	0	1	1	70	1	0	0	0	0	0	1	paper	0.8	4.6	active	3.8
19	28	F	secondary	3	salaried	4	0	721	120	3.4	33	21	11	5	9	7	3	2	4	6	11	3	1	0	0	0	-1	1	1	0	0	1	1	1	paper	0.69	3.2	active	2.7
20	23	M	secondary	14	volunteer	2	1	1,281	213	11.1	32	17	15	7	3	3	1	2	2	4	9	6	3	0	1	0	-1	1	0	0	0	0	0	1	digital	0.95	4.1	active	2.7
21	38	F	primary	7	volunteer	8	0	507	84	3.6	46	17	12	3	4	3	2	3	1	1	8	5	3	1	1	1	72	1	1	1	0	0	0	0	digital	0.81	2.5	active	3.5
22	39	F	primary	14	stipend	2	1	2,469	493	2.2	35	9	7	2	3	2	1	3	1	8	13	8	3	0	1	0	-1	0	0	0	0	0	0	1	paper	0.99	3.1	active	2.7
23	51	F	primary	10	volunteer	2	0	2,785	464	2.8	35	3	2	0	0	0	0	3	3	6	4	11	4	0	1	1	58	0	1	1	0	0	0	1	paper	0.69	3	active	2.8
24	53	F	secondary	2	salaried	8	1	2,846	711	7.2	30	12	9	1	5	2	1	7	3	2	3	9	5	0	1	1	50	1	1	0	0	1	0	0	digital	0.83	2.1	active	3.3
25	35	F	secondary	12	stipend	2	0	1,003	200	7.3	45	6	3	0	2	1	0	1	3	6	3	7	2	0	1	1	50	0	0	0	0	0	0	1	paper	0.84	3.7	active	4.2
26	42	F	primary	10	volunteer	8	0	2,445	611	3.1	43	22	19	3	5	6	3	2	1	3	5	2	1	0	0	0	-1	0	1	1	1	0	1	0	paper	0.88	3.1	active	2.8
27	27	F	none	6	stipend	6	1	2,503	417	1.7	30	13	9	1	3	2	1	4	4	5	11	2	1	0	1	1	64	1	0	0	0	0	0	0	paper	0.91	4.3	active	3.2
28	23	F	primary	13	volunteer	6	0	708	177	6.7	10	0	0	0	0	0	0	3	6	4	11	6	3	1	1	0	-1	1	0	0	0	0	0	1	paper	-1	2.9	active	3.5
29	47	F	secondary	9	stipend	2	1	1,935	483	2.8	20	12	7	3	5	2	1	4	3	3	10	2	1	0	0	0	-1	0	0	0	0	0	0	1	paper	0.89	2.2	active	3.2
30	37	M	primary	4	salaried	6	0	817	136	4	15	5	4	1	1	1	0	4	1	4	5	4	2	1	1	1	58	1	0	0	0	0	0	0	paper	0.8	4	active	5
31	42	M	primary	12	volunteer	2	1	2,052	342	1.9	28	10	5	1	3	3	2	2	2	6	5	3	0	1	0	0	-1	0	1	0	0	0	1	1	paper	0.81	4	active	4.3
32	52	F	secondary	14	stipend	4	0	1,724	344	0.9	14	6	3	1	2	2	1	2	1	5	2	3	1	0	1	1	70	0	0	0	0	0	0	1	paper	0.74	4.2	active	3.3
33	32	F	secondary	5	volunteer	2	1	536	107	5.1	12	0	0	0	0	0	0	6	0	6	4	10	5	0	1	1	54	0	0	0	0	0	0	0	paper	-1	3	active	4.1
34	54	M	primary	3	stipend	6	1	2,900	725	7.2	31	16	10	2	6	5	3	2	2	3	7	4	1	1	0	0	-1	0	0	0	0	0	0	1	paper	0.96	2.6	active	4.4
35	34	F	primary	7	stipend	2	0	1,029	171	15.4	32	11	6	1	5	2	1	2	1	6	12	7	4	0	0	0	-1	0	0	0	0	0	0	1	digital	0.6	3.2	active	4.4
36	50	M	none	5	volunteer	6	0	1,132	226	0.9	33	4	3	1	1	0	0	2	2	7	9	2	1	0	1	1	75	0	1	1	0	1	0	1	paper	0.75	2.4	active	3.1
37	47	F	primary	3	salaried	6	0	1,428	238	2.7	47	16	12	2	7	5	3	5	1	1	5	4	2	0	0	0	-1	0	0	0	0	0	0	0	paper	0.84	2.7	active	2.8
38	47	F	primary	3	stipend	2	0	2,114	352	1.5	32	10	5	1	4	2	1	4	0	4	7	3	1	1	0	0	-1	0	0	0	0	0	0	1	paper	0.62	3.3	active	4.7
39	24	F	secondary	1	salaried	4	1	2,920	486	5.9	32	17	9	1	5	5	4	0	1	5	8	7	2	0	0	0	-1	0	0	0	0	0	0	1	paper	0.59	4	active	4
40	43	F	secondary	12	salaried	8	0	1,954	325	2.2	19	9	6	1	3	2	1	2	2	3	10	3	0	0	1	0	-1	1	0	0	0	0	0	1	paper	0.94	4.3	active	3.6
41	39	M	secondary	2	volunteer	2	0	852	142	2.3	20	0	0	0	0	0	0	2	3	4	0	2	0	0	0	0	-1	0	1	0	1	0	0	1	paper	-1	2.6	active	2.9
42	26	F	tertiary	8	stipend	4	1	2,095	419	1.8	16	0	0	0	0	0	0	3	1	6	4	5	2	0	1	1	66	1	1	0	0	0	1	0	paper	-1	2.7	active	3
43	29	F	secondary	2	volunteer	2	1	1,024	204	1.2	27	9	4	1	2	2	1	0	1	5	8	5	2	1	0	0	-1	0	0	0	0	0	0	0	digital	0.73	3.5	active	2.4
44	23	F	secondary	14	stipend	2	1	878	146	4.1	29	19	11	3	4	4	3	5	2	4	8	4	1	0	0	0	-1	0	0	0	0	0	0	0	paper	0.85	3.3	active	4.1
45	39	F	primary	7	stipend	2	0	2,766	461	16.6	24	4	3	0	0	1	0	2	2	2	8	4	1	0	1	0	-1	0	0	0	0	0	0	1	paper	0.74	3.7	active	4
46	36	F	secondary	13	stipend	2	0	1,732	433	0.8	23	13	10	4	4	4	2	2	1	5	10	4	1	0	1	0	-1	1	0	0	0	0	0	0	paper	0.72	3.2	active	4.2
47	27	F	primary	12	salaried	2	0	1,458	243	1.3	21	13	6	1	3	4	2	4	2	6	19	6	3	0	0	0	-1	1	1	0	0	0	1	0	paper	0.75	3.1	active	5
48	50	F	primary	8	volunteer	2	1	970	242	2	30	10	6	2	4	2	1	4	4	5	8	6	3	0	1	1	46	0	1	1	0	0	1	1	paper	0.77	2.3	active	3.9
49	44	M	primary	0	volunteer	6	0	1,282	213	4.1	8	8	5	1	2	2	1	2	1	4	9	2	0	1	1	1	35	0	0	0	0	0	0	0	digital	0.85	3.6	active	5
50	39	F	primary	8	volunteer	6	1	519	86	0.6	53	17	9	1	3	6	3	4	2	3	9	5	2	0	1	1	32	0	1	0	0	1	1	1	digital	0.86	4.8	active	4.3
51	23	F	secondary	1	volunteer	1	0	992	165	2.1	23	16	11	3	7	5	4	3	4	3	6	3	1	0	0	0	-1	0	1	0	0	0	0	0	paper	0.7	3.3	active	2.2
52	26	F	secondary	9	salaried	2	1	2,227	445	9.4	19	5	3	1	1	1	0	5	2	3	2	8	2	0	1	1	56	0	1	1	0	0	1	0	paper	0.75	3.6	active	3.4
53	52	F	secondary	13	volunteer	6	1	994	248	13.2	36	18	10	1	8	6	4	3	0	3	5	4	2	0	0	0	-1	0	0	0	0	0	0	1	paper	0.82	3.7	inactive	5
54	51	M	secondary	8	volunteer	4	0	500	100	5.5	29	15	8	2	4	4	2	4	1	2	14	3	1	0	0	0	-1	1	0	0	0	0	0	0	paper	0.81	2.2	active	4.9
55	52	M	primary	1	stipend	1	1	1,382	345	4.8	39	12	8	2	5	4	3	1	1	7	6	8	3	0	0	0	-1	0	0	0	0	0	0	0	paper	0.97	3.9	active	3.7
56	44	F	primary	8	volunteer	1	1	2,583	430	7.7	33	9	6	1	4	1	0	7	5	4	13	6	3	0	0	0	-1	0	0	0	0	0	0	1	paper	0.8	3.8	active	4.8
57	22	M	tertiary	5	volunteer	4	1	2,459	409	3.7	22	8	5	2	2	2	1	3	3	6	9	5	2	1	0	0	-1	0	0	0	0	0	0	1	paper	0.77	2.3	active	3.6
58	25	M	primary	5	volunteer	4	1	1,880	470	6.3	27	12	9	3	2	4	2	3	1	1	0	8	5	0	1	1	83	0	0	0	0	0	0	0	paper	0.88	3.3	active	4.1
59	27	F	secondary	11	stipend	2	1	1,689	422	2.1	31	18	10	3	7	5	4	2	5	4	10	4	1	0	0	0	-1	0	1	1	0	1	0	1	paper	0.83	3.4	active	2.9
60	54	M	secondary	14	volunteer	6	0	823	205	4.1	36	19	14	5	7	4	2	0	3	3	8	8	4	0	1	1	74	1	0	0	0	0	0	1	paper	0.7	2.9	active	4.9
61	51	F	primary	6	volunteer	2	1	860	172	4.3	30	9	4	1	2	2	1	0	1	2	15	5	2	0	0	0	-1	1	0	0	0	0	0	1	paper	0.91	3.5	active	3
62	41	F	secondary	10	stipend	4	1	2,555	638	4.8	32	8	7	1	1	2	1	5	1	4	0	2	1	0	1	1	78	0	0	0	0	0	0	0	digital	0.9	3.5	active	3.2
63	26	F	primary	5	volunteer	8	0	2,139	356	0.7	38	15	10	2	4	4	2	2	5	3	14	2	1	0	0	0	-1	0	0	0	0	0	0	1	paper	0.78	2.4	active	2.9
64	49	F	tertiary	14	stipend	2	0	674	168	9.8	23	17	9	3	4	6	5	4	1	5	8	5	1	1	0	0	-1	1	1	0	0	0	0	1	paper	0.62	2.4	active	3
65	47	M	primary	3	stipend	6	0	2,662	532	3.4	31	20	12	4	6	4	3	3	2	8	10	5	2	0	0	0	-1	0	0	0	0	0	0	0	paper	0.9	3.4	active	3.4
66	41	F	none	3	volunteer	8	0	1,226	245	6.2	18	8	4	1	2	1	0	3	2	2	13	3	1	1	0	0	-1	1	1	0	0	0	1	0	paper	0.78	3.2	active	2.8
67	29	F	secondary	12	stipend	8	1	1,341	335	17	18	12	6	1	2	1	0	3	3	1	3	7	2	0	0	0	-1	1	0	0	0	0	0	1	digital	0.92	4.2	active	3.7
68	40	F	primary	4	stipend	6	0	2,399	479	5.2	34	14	12	4	6	5	4	2	0	1	13	6	2	0	1	0	-1	0	0	0	0	0	0	1	paper	0.71	3.7	active	3
69	25	F	secondary	6	volunteer	2	1	1,621	270	4.7	36	11	9	3	5	2	1	6	1	2	5	2	1	0	1	1	44	1	0	0	0	0	0	0	digital	0.96	2.6	active	4.3
70	39	M	secondary	10	stipend	2	1	2,088	417	0.5	32	17	9	3	6	4	2	4	4	2	7	3	0	0	1	0	-1	0	0	0	0	0	0	1	paper	0.94	2.7	active	2.8
71	47	F	secondary	4	stipend	6	0	1,000	166	2	40	15	8	3	4	2	1	4	3	4	6	2	0	0	1	1	59	0	0	0	0	0	0	0	paper	0.73	4	active	4.4
72	44	M	secondary	4	volunteer	4	0	1,819	454	0.6	29	9	4	1	3	3	1	5	2	3	5	3	1	0	0	0	-1	0	0	0	0	0	0	0	paper	0.72	3.2	active	2
73	47	F	secondary	9	volunteer	2	1	1,587	317	15.8	36	22	18	4	8	5	2	1	6	2	8	1	0	0	1	1	65	1	0	0	0	0	0	0	paper	0.7	2.5	active	3.5
74	21	M	secondary	0	salaried	8	1	697	116	8.1	23	8	4	1	3	2	1	4	2	11	9	2	1	0	1	0	-1	0	0	0	0	0	0	1	paper	0.86	4.4	inactive	3.4
75	53	F	secondary	10	stipend	6	1	1,797	299	10.2	15	13	11	4	4	2	1	3	2	1	6	2	0	0	0	0	-1	0	1	0	1	1	0	1	paper	0.66	2.1	active	3.9
76	54	F	tertiary	14	salaried	4	1	869	173	0.9	34	7	6	2	2	2	1	6	2	3	13	5	2	1	1	1	62	1	0	0	0	0	0	1	paper	0.71	3.3	active	3.8
77	28	F	primary	6	stipend	2	0	2,430	607	0.6	15	1	0	0	0	0	0	3	3	7	14	6	3	0	1	1	74	1	1	0	0	0	1	0	paper	0.68	3.4	active	4.1
78	50	F	secondary	1	salaried	1	1	2,785	464	8.4	35	7	4	0	1	1	0	3	3	1	17	3	1	0	0	0	-1	0	0	0	0	0	0	1	paper	0.95	4	active	4
79	29	F	primary	4	stipend	8	1	1,554	310	4.3	23	10	6	2	3	3	2	10	5	8	13	5	1	0	1	0	-1	1	1	1	0	0	0	1	paper	0.86	3.4	active	4
80	25	F	primary	14	volunteer	1	0	2,583	516	6.4	35	14	12	5	5	4	3	2	2	6	4	3	1	0	0	0	-1	0	0	0	0	0	0	1	paper	0.76	2.7	active	4.1
81	29	F	secondary	0	stipend	8	0	2,842	568	2.7	42	17	11	3	5	3	2	4	2	6	11	4	2	0	0	0	-1	0	0	0	0	0	0	1	paper	0.79	2.1	active	4.1
82	37	F	secondary	4	stipend	2	0	861	172	3.7	26	3	1	0	0	1	0	3	1	1	3	1	0	0	1	0	-1	0	0	0	0	0	0	1	paper	0.86	2.4	active	4.2
83	34	F	secondary	3	stipend	4	0	2,874	574	3.8	31	11	6	1	4	3	2	6	3	5	4	6	3	0	0	0	-1	0	1	0	1	1	0	1	digital	0.67	3.3	active	2.4
84	49	M	primary	2	volunteer	8	1	785	157	7.3	36	8	4	1	3	3	1	2	2	2	3	4	1	0	1	1	50	0	1	0	0	1	1	1	digital	0.69	2.3	active	3
85	38	F	primary	6	volunteer	1	1	2,616	523	4.4	20	2	1	0	0	0	0	2	2	3	8	3	1	0	0	0	-1	0	0	0	0	0	0	0	paper	0.92	3.5	active	4.7
86	47	F	primary	9	volunteer	2	0	1,831	366	14.1	12	4	2	0	1	0	0	4	4	7	8	6	2	0	1	0	-1	0	1	0	0	1	0	1	paper	0.7	2.9	active	4
87	43	F	secondary	2	stipend	2	1	1,000	250	2.8	50	27	23	5	10	7	4	3	3	6	4	10	5	0	0	0	-1	0	1	0	0	0	0	1	paper	0.78	2.9	active	3.4
88	22	M	secondary	0	stipend	2	0	1,324	264	2.4	35	13	11	1	4	2	1	4	0	7	5	10	3	0	1	1	39	0	0	0	0	0	0	1	paper	0.86	3.5	active	5
89	43	M	primary	3	stipend	6	0	1,076	269	0.5	24	12	9	2	4	2	1	2	2	0	12	4	2	0	0	0	-1	1	0	0	0	0	0	0	digital	0.78	3.1	active	3.3
90	41	M	tertiary	9	stipend	4	0	1,552	388	10.8	26	17	13	3	4	3	2	2	2	9	5	3	1	0	0	0	-1	1	0	0	0	0	0	1	digital	0.79	3.4	active	2.9
91	40	F	primary	14	volunteer	1	0	1,794	299	0.6	15	0	0	0	0	0	0	1	0	6	7	8	3	0	1	0	-1	0	0	0	0	0	0	1	paper	-1	2.8	active	4.5
92	43	F	primary	1	stipend	6	1	544	136	4.5	22	3	2	0	1	0	0	1	1	6	6	6	2	0	1	1	46	0	1	0	1	0	1	1	paper	0.75	3.9	active	4.1
93	37	F	secondary	4	stipend	2	0	1,160	232	2.8	15	1	0	0	0	0	0	1	1	5	9	5	1	0	1	1	51	1	0	0	0	0	0	1	digital	0.81	2.8	active	4.3
94	48	M	secondary	13	stipend	4	0	1,459	364	4.6	22	9	5	2	4	1	0	3	5	2	4	5	1	0	0	0	-1	1	0	0	0	0	0	1	paper	0.82	2.3	active	2.6
95	51	M	none	3	stipend	4	0	2,280	570	8.7	32	15	8	2	5	4	3	2	2	2	6	4	1	1	0	0	-1	0	0	0	0	0	0	1	digital	0.74	3.6	active	3.4
96	54	F	secondary	3	stipend	8	0	576	115	5.5	23	4	2	0	1	1	0	1	2	1	6	7	2	0	1	0	-1	1	0	0	0	0	0	0	paper	0.84	3.8	active	3
97	20	M	primary	4	stipend	6	1	2,084	416	8.9	34	13	7	1	5	2	1	1	0	10	14	5	2	0	0	0	-1	0	0	0	0	0	0	0	paper	0.65	3.9	active	4.1
98	23	M	primary	14	stipend	4	1	1,879	469	3.4	41	12	8	1	5	3	2	3	1	3	8	3	1	0	1	1	51	1	0	0	0	0	0	0	digital	0.88	2.3	active	4
99	35	F	secondary	1	salaried	8	1	2,983	596	0.7	23	10	6	1	3	2	1	3	1	3	8	3	1	0	0	0	-1	1	1	0	0	0	0	1	paper	0.88	3	active	3.6
100	25	F	secondary	7	salaried	4	1	2,696	539	1.8	37	22	14	2	6	7	4	4	2	4	3	6	2	1	0	0	-1	1	1	0	1	1	0	1	digital	0.73	2.6	active	2.2

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CHW Performance & Supervision Dataset

Abstract

This dataset provides 30,000 synthetic monthly CHW activity records (10,000 per scenario) from community health programmes in sub-Saharan Africa. Each record contains 42 variables including CHW demographics, catchment area, monthly activities (home visits, iCCM case management, referrals, health talks), supervision visits, supply chain stockouts, iCCM classification accuracy, motivation scores, and retention status. Three scenarios span mature national programmes (80% supervision, 88% reporting) to fragile contexts (25% supervision, 40% reporting).

1. Introduction

Community health workers deliver up to 80% of primary healthcare in some SSA settings (WHO 2018). Key performance determinants include supervision frequency, supply chain reliability, workload, and motivation (Kok et al., Hum Resour Health 2015). iCCM enables CHWs to assess, classify, and treat malaria, pneumonia, and diarrhoea with 70–90% accuracy (Lim et al., Lancet 2011). However, only 30–70% of CHWs receive monthly supervision (Ludwick et al., GHSP 2018), and attrition ranges from 5–50% annually (Strachan et al., 2012).

This dataset is entirely synthetic. It must not be used for programme evaluation.

2. Methodology

2.1 Parameterization

Parameter	Value	Source
Monthly supervision rate	30–80%	Ludwick et al., GHSP 2018
Reporting completeness	50–90%	Lopes et al., Hum Resour Health 2017
iCCM case management accuracy	70–90%	Lim et al., Lancet 2011
Annual attrition	5–50%	Strachan et al., Hum Resour Health 2012
Commodity stockout rates	15–60%	Various CHW programme evaluations
Referral completion	30–70%	Naimoli et al., GHSP 2014

2.2 Scenario Design

Scenario	Setting	Supervision	Reporting	Stockouts	iCCM Accuracy
Mature programme	National CHW programme	80%	88%	15%	90%
Emerging programme	Developing programme	50%	66%	35%	80%
Fragile context	Conflict/weak system	25%	40%	59%	64%

3. Schema

Column	Type	Description
id	int	Unique record identifier
chw_age_years	int	CHW age
chw_sex	categorical	F / M
chw_education	categorical	none / primary / secondary / tertiary
years_experience	int	Years as CHW
chw_type	categorical	volunteer / stipend / salaried
initial_training_weeks	int	Initial training duration
refresher_training_12mo	binary	Refresher training in past 12 months
catchment_population	int	Catchment area population
catchment_households	int	Number of households
distance_to_facility_km	float	Distance to nearest health facility
home_visits_month	int	Home visits conducted this month
under5_assessed	int	Under-5 children assessed
malaria_rdt_performed	int	Malaria RDTs performed
malaria_rdt_positive	int	Positive RDT results
pneumonia_assessed	int	Pneumonia cases assessed
diarrhoea_cases_managed	int	Diarrhoea cases managed
ors_zinc_given	int	ORS+zinc treatments given
anc_referrals	int	ANC referrals made
postnatal_visits	int	Postnatal home visits
health_talks_conducted	int	Health education sessions
nutrition_screenings_muac	int	MUAC nutrition screenings
referrals_made	int	Total referrals made
referrals_completed	int	Referrals completed
deaths_reported	int	Community deaths reported
supervision_visit_received	binary	Received supervision this month
supervisor_used_checklist	binary	Supervisor used checklist
supervision_score	float	Supervision score (0–100; -1 if NA)
peer_support_meeting	binary	Attended peer support meeting
stockout_any	binary	Any commodity stockout
stockout_act	binary	ACT stockout
stockout_ors	binary	ORS stockout
stockout_rdt	binary	RDT stockout
stockout_amoxicillin	binary	Amoxicillin stockout
report_submitted_on_time	binary	Monthly report submitted on time
reporting_tool	categorical	digital / paper
iccm_classification_accuracy	float	iCCM accuracy (0–1; -1 if NA)
motivation_score	float	Self-reported motivation (1–5)
active_status	categorical	active / inactive
community_trust_score	float	Community trust rating (1–5)

4. Validation

Validation Report

Key validation checks:

Supervision gradient: 80% → 50% → 25% across scenarios ✓
iCCM accuracy: Supervised CHWs show higher accuracy ✓
Stockout gradient: 15% → 35% → 59% ✓
Motivation: Decreases from mature (3.9) to fragile (2.4) ✓
Referral completion: 60% → 40% → 20% ✓

5. Usage

from datasets import load_dataset
dataset = load_dataset("electricsheepafrica/chw-performance-supervision", "emerging_programme")
df = dataset["train"].to_pandas()

python generate_dataset.py --all-scenarios --n 10000 --seed 42

6. Limitations

Synthetic: Not derived from real CHW programme data.
Monthly snapshot: No longitudinal tracking of individual CHWs.
Simplified iCCM: Accuracy is a single score, not per-condition.
No geographic data: No GPS coordinates or spatial patterns.
No qualitative data: Motivation is a score, not narrative.

7. References

WHO (2018). Guideline on health policy and system support to optimize CHW programmes.
Kok MC, et al. (2015). CHW performance factors. Hum Resour Health, 13:56.
Naimoli JF, et al. (2014). CHW programme functionality. Glob Health Sci Pract, 2(2):154–174.
Lim SS, et al. (2011). iCCM coverage. Lancet, 378(9790):1–11.
Strachan DL, et al. (2012). CHW incentives and motivation. Hum Resour Health, 10:61.
Ludwick T, et al. (2018). CHW supervision. GHSP, 6(4):595–602.
Lopes SC, et al. (2017). CHW reporting. Hum Resour Health, 15:64.
UNICEF/WHO (2012). iCCM: integrated community case management.

Citation

@dataset{esa_chw_2025,
  title={CHW Performance and Supervision Dataset},
  author={Electric Sheep Africa},
  year={2025},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/electricsheepafrica/chw-performance-supervision}
}

License

CC-BY-4.0

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Size of downloaded dataset files:

3.8 MB

Size of the auto-converted Parquet files:

1.24 MB

Number of rows:

30,000