Cargando…
An in-depth assessment of India’s Mother and Child Tracking System (MCTS) in Rajasthan and Uttar Pradesh
BACKGROUND: India’s Mother and Child Tracking System (MCTS)(1) is an information system for tracking maternal and child health beneficiaries in India’s public health system, and improving service delivery planning and outcomes. This ambitious project was launched in 2009 and currently covers all sta...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4530478/ https://www.ncbi.nlm.nih.gov/pubmed/26259836 http://dx.doi.org/10.1186/s12913-015-0920-2 |
_version_ | 1782384906963255296 |
---|---|
author | Gera, Rajeev Muthusamy, Nithiyananthan Bahulekar, Amruta Sharma, Amit Singh, Prem Sekhar, Amrita Singh, Vivek |
author_facet | Gera, Rajeev Muthusamy, Nithiyananthan Bahulekar, Amruta Sharma, Amit Singh, Prem Sekhar, Amrita Singh, Vivek |
author_sort | Gera, Rajeev |
collection | PubMed |
description | BACKGROUND: India’s Mother and Child Tracking System (MCTS)(1) is an information system for tracking maternal and child health beneficiaries in India’s public health system, and improving service delivery planning and outcomes. This ambitious project was launched in 2009 and currently covers all states in India, but no in-depth assessment of the system has been conducted. This study by the Public Health Foundation of India (PHFI) evaluated the performance of MCTS and identified implementation challenges in areas in Rajasthan and Uttar Pradesh (UP) in December 2012. METHODS: Two assessment methods were employed: a Data Quality Assessment (DQA) to evaluate data quality and an assessment survey to identify implementation challenges. The survey comprised semi-structured questionnaires for health staff in the sampled districts, observation checklists and survey investigator notes. Purposive sampling was used for selecting two districts in each state and two blocks in each district. For the DQA, 45 mothers who became pregnant and 84 children born within the stipulated timeframes were randomly sampled. RESULTS: DQA overall performance numbers were 34 % for pregnant women and 33 % for children in the Rajasthan study areas, while UP’s performance numbers were 18 % for pregnant women and 25 % for children. Weaknesses in the MCTS' data completeness accounted for much of this performance shortfall. The beneficiary profiles for Rajasthan were largely incomplete, and the MCTS in UP struggled to register beneficiaries. Shared challenges in both states were the absence of clear processes and guidelines governing data processes, and the lack of systematic monitoring and supervision frameworks for MCTS implementation. As a result, Front Line Health Workers (FHWs) were overburdened with data documentation work, and there were long delays in data capturing. FHWs and block level health officials were not adequately trained in using the MCTS. UP staff reported unreliable internet and electricity availability, lack of dedicated data entry personnel, and a shortage of consumables such as MCTS registers. CONCLUSIONS: There is an urgent need to create data processes and supervision guidelines that complement existing workflows and service delivery priorities. Health staff should be trained to implement these guidelines. MCTS outputs, such as service delivery planning tools, should replace existing tools once data quality improves. |
format | Online Article Text |
id | pubmed-4530478 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45304782015-08-11 An in-depth assessment of India’s Mother and Child Tracking System (MCTS) in Rajasthan and Uttar Pradesh Gera, Rajeev Muthusamy, Nithiyananthan Bahulekar, Amruta Sharma, Amit Singh, Prem Sekhar, Amrita Singh, Vivek BMC Health Serv Res Research Article BACKGROUND: India’s Mother and Child Tracking System (MCTS)(1) is an information system for tracking maternal and child health beneficiaries in India’s public health system, and improving service delivery planning and outcomes. This ambitious project was launched in 2009 and currently covers all states in India, but no in-depth assessment of the system has been conducted. This study by the Public Health Foundation of India (PHFI) evaluated the performance of MCTS and identified implementation challenges in areas in Rajasthan and Uttar Pradesh (UP) in December 2012. METHODS: Two assessment methods were employed: a Data Quality Assessment (DQA) to evaluate data quality and an assessment survey to identify implementation challenges. The survey comprised semi-structured questionnaires for health staff in the sampled districts, observation checklists and survey investigator notes. Purposive sampling was used for selecting two districts in each state and two blocks in each district. For the DQA, 45 mothers who became pregnant and 84 children born within the stipulated timeframes were randomly sampled. RESULTS: DQA overall performance numbers were 34 % for pregnant women and 33 % for children in the Rajasthan study areas, while UP’s performance numbers were 18 % for pregnant women and 25 % for children. Weaknesses in the MCTS' data completeness accounted for much of this performance shortfall. The beneficiary profiles for Rajasthan were largely incomplete, and the MCTS in UP struggled to register beneficiaries. Shared challenges in both states were the absence of clear processes and guidelines governing data processes, and the lack of systematic monitoring and supervision frameworks for MCTS implementation. As a result, Front Line Health Workers (FHWs) were overburdened with data documentation work, and there were long delays in data capturing. FHWs and block level health officials were not adequately trained in using the MCTS. UP staff reported unreliable internet and electricity availability, lack of dedicated data entry personnel, and a shortage of consumables such as MCTS registers. CONCLUSIONS: There is an urgent need to create data processes and supervision guidelines that complement existing workflows and service delivery priorities. Health staff should be trained to implement these guidelines. MCTS outputs, such as service delivery planning tools, should replace existing tools once data quality improves. BioMed Central 2015-08-11 /pmc/articles/PMC4530478/ /pubmed/26259836 http://dx.doi.org/10.1186/s12913-015-0920-2 Text en © Gera et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Gera, Rajeev Muthusamy, Nithiyananthan Bahulekar, Amruta Sharma, Amit Singh, Prem Sekhar, Amrita Singh, Vivek An in-depth assessment of India’s Mother and Child Tracking System (MCTS) in Rajasthan and Uttar Pradesh |
title | An in-depth assessment of India’s Mother and Child Tracking System (MCTS) in Rajasthan and Uttar Pradesh |
title_full | An in-depth assessment of India’s Mother and Child Tracking System (MCTS) in Rajasthan and Uttar Pradesh |
title_fullStr | An in-depth assessment of India’s Mother and Child Tracking System (MCTS) in Rajasthan and Uttar Pradesh |
title_full_unstemmed | An in-depth assessment of India’s Mother and Child Tracking System (MCTS) in Rajasthan and Uttar Pradesh |
title_short | An in-depth assessment of India’s Mother and Child Tracking System (MCTS) in Rajasthan and Uttar Pradesh |
title_sort | in-depth assessment of india’s mother and child tracking system (mcts) in rajasthan and uttar pradesh |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4530478/ https://www.ncbi.nlm.nih.gov/pubmed/26259836 http://dx.doi.org/10.1186/s12913-015-0920-2 |
work_keys_str_mv | AT gerarajeev anindepthassessmentofindiasmotherandchildtrackingsystemmctsinrajasthananduttarpradesh AT muthusamynithiyananthan anindepthassessmentofindiasmotherandchildtrackingsystemmctsinrajasthananduttarpradesh AT bahulekaramruta anindepthassessmentofindiasmotherandchildtrackingsystemmctsinrajasthananduttarpradesh AT sharmaamit anindepthassessmentofindiasmotherandchildtrackingsystemmctsinrajasthananduttarpradesh AT singhprem anindepthassessmentofindiasmotherandchildtrackingsystemmctsinrajasthananduttarpradesh AT sekharamrita anindepthassessmentofindiasmotherandchildtrackingsystemmctsinrajasthananduttarpradesh AT singhvivek anindepthassessmentofindiasmotherandchildtrackingsystemmctsinrajasthananduttarpradesh AT gerarajeev indepthassessmentofindiasmotherandchildtrackingsystemmctsinrajasthananduttarpradesh AT muthusamynithiyananthan indepthassessmentofindiasmotherandchildtrackingsystemmctsinrajasthananduttarpradesh AT bahulekaramruta indepthassessmentofindiasmotherandchildtrackingsystemmctsinrajasthananduttarpradesh AT sharmaamit indepthassessmentofindiasmotherandchildtrackingsystemmctsinrajasthananduttarpradesh AT singhprem indepthassessmentofindiasmotherandchildtrackingsystemmctsinrajasthananduttarpradesh AT sekharamrita indepthassessmentofindiasmotherandchildtrackingsystemmctsinrajasthananduttarpradesh AT singhvivek indepthassessmentofindiasmotherandchildtrackingsystemmctsinrajasthananduttarpradesh |