Comparing two data collection methods to track vital events in maternal and child health via community health workers in rural Nepal

Population Health Metrics - Tập 20 - Trang 1-11 - 2022
Nandini Choudhury1,2, Aparna Tiwari1, Wan-Ju Wu1,3,4, Ved Bhandari5, Laxman Bhatta5, Bhawana Bogati5, David Citrin1,2,6,7,8, Scott Halliday1,6, Sonu Khadka5, Nutan Marasini5, Sachit Pandey5, Madeleine Ballard2,9, Hari Jung Rayamazi5, Sabitri Sapkota10, Ryan Schwarz1,11,12,13, Lisa Sullivan14, Duncan Maru1,2,15,16,17, Aradhana Thapa1, Sheela Maru1,2,15,18
1Possible, New York, USA
2Icahn School of Medicine at Mount Sinai, Arnhold Institute for Global Health, New York, USA
3Department of Obstetrics and Gynecology, Boston Medical Center, Boston, USA
4Department of Obstetrics and Gynecology, Boston University School of Medicine, Boston, USA
5Nyaya Health Nepal, Kathmandu, Nepal
6Department of Global Health, University of Washington, Seattle, USA
7Department of Anthropology, University of Washington, Seattle, USA
8Henry M. Jackson School of International Studies, University of Washington, Seattle, USA
9Community Health Impact Coalition, New York, USA
10Possible, Kathmandu, Nepal
11Division of Global Health Equity, Department of Medicine, Brigham and Women’s Hospital, Boston, USA
12Department of Medicine, Harvard Medical School, Boston, USA
13Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, USA
14Boston University School of Public Health, Boston, USA
15Department of Health Systems Design and Global Health, Icahn School of Medicine at Mount Sinai, New York, USA
16Department of Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, USA
17Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, USA
18Department of Obstetrics, Gynecology and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, USA

Tóm tắt

Timely tracking of health outcomes is difficult in low- and middle-income countries without comprehensive vital registration systems. Community health workers (CHWs) are increasingly collecting vital events data while delivering routine care in low-resource settings. It is necessary, however, to assess whether routine programmatic data collected by CHWs are sufficiently reliable for timely monitoring and evaluation of health interventions. To study this, we assessed the consistency of vital events data recorded by CHWs using two methodologies—routine data collected while delivering an integrated maternal and child health intervention, and data from a birth history census approach at the same site in rural Nepal. We linked individual records from routine programmatic data from June 2017 to May 2018 with those from census data, both collected by CHWs at the same site using a mobile platform. We categorized each vital event over a one-year period as ‘recorded by both methods,’ ‘census alone,’ or ‘programmatic alone.’ We further assessed whether vital events data recorded by both methods were classified consistently. From June 2017 to May 2018, we identified a total of 713 unique births collectively from the census (birth history) and programmatic maternal ‘post-delivery’ data. Three-fourths of these births (n = 526) were identified by both. There was high consistency in birth location classification among the 526 births identified by both methods. Upon including additional programmatic ‘child registry’ data, we identified 746 total births, of which 572 births were identified by both census and programmatic methods. Programmatic data (maternal ‘post-delivery’ and ‘child registry’ combined) captured more births than census data (723 vs. 595). Both methods consistently classified most infants as ‘living,’ while infant deaths and stillbirths were largely classified inconsistently or recorded by only one method. Programmatic data identified five infant deaths and five stillbirths not recorded in census data. Our findings suggest that data collected by CHWs from routinely tracking pregnancies, births, and deaths are promising for timely program monitoring and evaluation. Despite some limitations, programmatic data may be more sensitive in detecting vital events than cross-sectional census surveys asking women to recall these events.

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