Table 5.
Performance of all HFs, HPs, and CHVs in select indicators by MERA domain
| HFs | HPs | Observations | CHVs | |
|---|---|---|---|---|
| Domain 1: Resource availability, n/N (%) | ||||
| Thermometers in stock | 31/35 (89) | 3/34 (9) | ||
| RDTs in stock | 27/35 (77) | 13/26 (50) | ||
| ASAQ in stock | 28/35 (80) | 11/26 (42) | ||
| Primaquine in stock | 15/35 (43) | |||
| Injectable artesunate or quinine in stock | 12/35 (34) | |||
| RDT stock out in past 2 months | 9/35 (26) | |||
| Providers are able to test for P. vivax | 14/41 (34) | |||
| Providers diagnose P. vivax in their facility | 10/41 (24) | |||
| ACT (age 14 +) stock out in past 2 months | 10/35 (29) | |||
| ACT (age 5–13) stock out in past 2 months | 8/35 (23) | |||
| Stock out of any RDTs and ACTs at time of survey | 19/34 (56) | |||
| Domain 2: Case management, n/N (%) | ||||
| Identifies history of fever as criteria for suspect case | 34/41 (83) | 18/26 (69) | ||
| Identifies history of any symptoms in recent traveler as criteria for suspect case | 29/41 (71) | 5/26 (19) | ||
| Asked fever history if patient did not spontaneously report | 92/189 (49) | |||
| Took temperature of patient | 195/300 (65) | |||
| A temperature was recorded | 142/300 (47) | |||
| Performed RDT for patient with reported or recorded fever | 56/129 (43) | |||
| Patient with positive RDT was given an ACT | 4/5 (80) | |||
| Reports asking for travel history | 27/34 (79) | |||
| Reports performing RDT if patient has history of fever | 20/26 (77) | |||
| Reports giving ACT for positive RDT | 12/26 (46) | |||
| Domain 3: Data management and use, n/N (%) | ||||
| Uses a registry to record consultations | 30/34 (88) | |||
| Reviews monthly data for trends | 26/35 (74) | |||
| Able to follow individual patients between registers (ex: laboratory and pharmacy registers) | 19/35 (54) | |||
| Able to map cases geographically | 24/35 (69) | |||
| Use data to make decisions (ex: community outreach, request assistance or commodities) | 25/35 (71) | 18/34 (53) | ||
| Ever received guidance on how to interpret and use data | 9/35 (26) | |||
| Reviews registers for data quality | 33/35 (94) | |||
| Ever received guidance on how to assess data quality | 8/35 (23) | |||
| Performs active case detection or community level outreach in the event of outbreak | 2/35 (6) | |||
| Able to perform community outreach in the event of an outbreak | 30/34 (88) | |||
| Domain 4: Training, supervision, technical assistance, n/N (%) | ||||
| Received malaria specific training | 28/41 (68) | |||
| Received malaria elimination training | 6/41 (15) | |||
| Received supervision vision in past 6 months | 15/35 (43) | 20/34 (59) | ||
| Received data management training in past 2 years | 10/35 (29) | 19/34 (56) | ||
| Data quality audit was performed in past year | 12/35 (34) | |||
| Reported ever receiving feedback on submitted data | 25/35 (71) | 9/34 (26) | ||
| Received guidance on how to respond to an outbreak | 11/35 (31) | 17/34 (50) | ||