Does an innovative paper-based health information system (PHISICC) improve data quality and use in primary healthcare? Protocol of a multicountry, cluster randomised controlled trial in sub-Saharan African rural settings
| Autor: | Suzanne Gajewski, Tavares Madede, Anthonia Ngozi Njepuome, Graça Matsinhe, Angela Oyo-Ita, Richard B. Yapi, David W. Brown, Artur Manuel Muloliwa, Mamadou Samba, Salimata Berté, Sofia Micael Mandjate Lee, Abdullahi Bulama Garba, L Kendall Krause, Nnette Ekpenyong, Ogonna Nwankwo, Xavier Bosch-Capblanch, Christian Auer, Amanda Ross, Jahit Sacarlal |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
protocols & guidelines
statistics & research methods Psychological intervention Nigeria Health informatics quality in health care Health Information Systems primary care 03 medical and health sciences human resource management 0302 clinical medicine Health facility Environmental health Humans Medicine 030212 general & internal medicine Cluster randomised controlled trial Child Mozambique Randomized Controlled Trials as Topic Protocol (science) Data collection Primary Health Care business.industry 030503 health policy & services General Medicine Data Accuracy Cote d'Ivoire Systematic review Organisation of health services Data quality Health Services Research 0305 other medical science business Systematic Reviews as Topic |
| Zdroj: | BMJ Open, Vol 11, Iss 7 (2021) BMJ Open |
| ISSN: | 2044-6055 |
| Popis: | IntroductionFront-line health workers in remote health facilities are the first contact of the formal health sector and are confronted with life-saving decisions. Health information systems (HIS) support the collection and use of health related data. However, HIS focus on reporting and are unfit to support decisions. Since data tools are paper-based in most primary healthcare settings, we have produced an innovative Paper-based Health Information System in Comprehensive Care (PHISICC) using a human-centred design approach. We are carrying out a cluster randomised controlled trial in three African countries to assess the effects of PHISICC compared with the current systems.Methods and analysisStudy areas are in rural zones of Côte d’Ivoire, Mozambique and Nigeria. Seventy health facilities in each country have been randomly allocated to using PHISICC tools or to continuing to use the regular HIS tools. We have randomly selected households in the catchment areas of each health facility to collect outcomes’ data (household surveys have been carried out in two of the three countries and the end-line data collection is planned for mid-2021). Primary outcomes include data quality and use, coverage of health services and health workers satisfaction; secondary outcomes are additional data quality and use parameters, childhood mortality and additional health workers and clients experience with the system. Just prior to the implementation of the trial, we had to relocate the study site in Mozambique due to unforeseen logistical issues. The effects of the intervention will be estimated using regression models and accounting for clustering using random effects.Ethics and disseminationEthics committees in Côte d’Ivoire, Mozambique and Nigeria approved the trials. We plan to disseminate our findings, data and research materials among researchers and policy-makers. We aim at having our findings included in systematic reviews on health systems interventions and future guidance development on HIS.Trial registration numberPACTR201904664660639; Pre-results. |
| Databáze: | OpenAIRE |
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