TY - JOUR
T1 - 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
AU - Bosch-Capblanch, Xavier
AU - Oyo-Ita, Angela
AU - Muloliwa, Artur Manuel
AU - Yapi, Richard B.
AU - Auer, Christian
AU - Samba, Mamadou
AU - Gajewski, Suzanne
AU - Ross, Amanda
AU - Krause, L. Kendall
AU - Ekpenyong, Nnette
AU - Nwankwo, Ogonna
AU - Njepuome, Anthonia Ngozi
AU - Lee, Sofia Mandjate
AU - Sacarlal, Jahit
AU - Madede, Tavares
AU - Berté, Salimata
AU - Matsinhe, Graça
AU - Garba, Abdullahi Bulama
AU - Brown, David W.
N1 - Funding Information:
Funding This study was funded by the Bill & Melinda Gates Foundation, grant number INV-010193/OPP1135947.
Publisher Copyright:
©
PY - 2021/7/29
Y1 - 2021/7/29
N2 - Introduction Front-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 analysis Study 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 dissemination Ethics 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 number PACTR201904664660639; Pre-results.
AB - Introduction Front-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 analysis Study 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 dissemination Ethics 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 number PACTR201904664660639; Pre-results.
KW - Organisation of health services
KW - human resource management
KW - primary care
KW - protocols & guidelines
KW - quality in health care
KW - statistics & research methods
UR - http://www.scopus.com/inward/record.url?scp=85112210057&partnerID=8YFLogxK
U2 - 10.1136/bmjopen-2021-051823
DO - 10.1136/bmjopen-2021-051823
M3 - Article
C2 - 34326056
AN - SCOPUS:85112210057
SN - 2044-6055
VL - 11
JO - BMJ Open
JF - BMJ Open
IS - 7
M1 - e051823
ER -