Introduction: Sustainable development goals (SDGs) need to be achieved by Low and Middle Income countries in order to achieve the Universal Health Care (UHC). The strategies and interventions to achieve UHC need to be robust and effective for health system to work optimally. Simiyu Region (Health department) designed a health system strengthening (HSS) intervention which uses a continuous quality improvement (CQI) approach to address health system challenges. The designed HSS intervention had a major focus on improving health system performance using governance and leadership health system pillar as a lever. Methods: This is a prospective observational study implemented along with national essential health intervention packages. The governance priority areas included formulation of performance measurement/score card tool with 34 indicators and 87 operational standards comprised of structural, processes and outcome indicators. Governance domains are; supportive supervision, data quality assessment, monthly and quarterly data review meetings, star rating assessment, health facility governance committee meetings, medicine and drug audit and so forth. Performance measurement was done in all six councils quarterly to ensure intervention institutionalization and improved indicators performance. Data collection: Quantitative data; Data collection tools for the intervention will be developed according to the objectives, research questions and outcomes and outputs from this intervention. Routine data collection tools of Ministry of Health will be used to collect data outcome data of service delivery. Observational data of governance performance are collected using the generated performance measurement tool. Qualitative data. Will be collected using in-depth interviews and focus group discussions with regional and council management teams, health care staff, HMTs and council leaders. The interview will explore program acceptability, drivers and barriers towards its implementation of this intervention. Data analysis: Quantitative data will be analyzed using appropriate statistical software and data are presented in tables, charts and frequencies. Statistical significance test for association of independent and dependent variables will be performed accordingly. Qualitative data will be analysed by using Ground theory where the contents analysis will be performed after the data being transcribed verbatim. Discussion: Leadership and governance is critical cross-cutting pillar for HSS. Routine performance measurement using validated tool is important to monitor the strengths and weaknesses of governance structures and health system performance with end results of health system responsiveness and resilient. Conclusion: HSS interventions with CQI involving leadership and governance are indispensable in restricted resource countries for achieving large ends with restricted resources.
Published in | Science Journal of Public Health (Volume 11, Issue 3) |
DOI | 10.11648/j.sjph.20231103.16 |
Page(s) | 94-107 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2023. Published by Science Publishing Group |
Health System Strengthening, Performance Management Contract, Score Card, Leadership, Governance, Outcome, Continuous Quality Improvement
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APA Style
Boniphace Marwa, Judith Zadock, Chacha Magige, Penina Mbwete, Khamis Kulemba, et al. (2023). Designing and Implementing Health System Strengthening Intervention Using Performance Score Card; the Effect on Health Service Delivery in Tanzania, a Study Protocol. Science Journal of Public Health, 11(3), 94-107. https://doi.org/10.11648/j.sjph.20231103.16
ACS Style
Boniphace Marwa; Judith Zadock; Chacha Magige; Penina Mbwete; Khamis Kulemba, et al. Designing and Implementing Health System Strengthening Intervention Using Performance Score Card; the Effect on Health Service Delivery in Tanzania, a Study Protocol. Sci. J. Public Health 2023, 11(3), 94-107. doi: 10.11648/j.sjph.20231103.16
AMA Style
Boniphace Marwa, Judith Zadock, Chacha Magige, Penina Mbwete, Khamis Kulemba, et al. Designing and Implementing Health System Strengthening Intervention Using Performance Score Card; the Effect on Health Service Delivery in Tanzania, a Study Protocol. Sci J Public Health. 2023;11(3):94-107. doi: 10.11648/j.sjph.20231103.16
@article{10.11648/j.sjph.20231103.16, author = {Boniphace Marwa and Judith Zadock and Chacha Magige and Penina Mbwete and Khamis Kulemba and Advera Mtatina and Marry Makunja and Jerry Mwaikambo and Justine Godfrey and Ntuli Kapologwe and Paul Chaote and Tumaini Kengia and Salvatory Kalabamu and Anthony Kapesa and Adorat Mpolo and Judith Ringia and Anold Musiba and Frank Mganga and Agnes Kyamba and Oscar Tenganamba}, title = {Designing and Implementing Health System Strengthening Intervention Using Performance Score Card; the Effect on Health Service Delivery in Tanzania, a Study Protocol}, journal = {Science Journal of Public Health}, volume = {11}, number = {3}, pages = {94-107}, doi = {10.11648/j.sjph.20231103.16}, url = {https://doi.org/10.11648/j.sjph.20231103.16}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjph.20231103.16}, abstract = {Introduction: Sustainable development goals (SDGs) need to be achieved by Low and Middle Income countries in order to achieve the Universal Health Care (UHC). The strategies and interventions to achieve UHC need to be robust and effective for health system to work optimally. Simiyu Region (Health department) designed a health system strengthening (HSS) intervention which uses a continuous quality improvement (CQI) approach to address health system challenges. The designed HSS intervention had a major focus on improving health system performance using governance and leadership health system pillar as a lever. Methods: This is a prospective observational study implemented along with national essential health intervention packages. The governance priority areas included formulation of performance measurement/score card tool with 34 indicators and 87 operational standards comprised of structural, processes and outcome indicators. Governance domains are; supportive supervision, data quality assessment, monthly and quarterly data review meetings, star rating assessment, health facility governance committee meetings, medicine and drug audit and so forth. Performance measurement was done in all six councils quarterly to ensure intervention institutionalization and improved indicators performance. Data collection: Quantitative data; Data collection tools for the intervention will be developed according to the objectives, research questions and outcomes and outputs from this intervention. Routine data collection tools of Ministry of Health will be used to collect data outcome data of service delivery. Observational data of governance performance are collected using the generated performance measurement tool. Qualitative data. Will be collected using in-depth interviews and focus group discussions with regional and council management teams, health care staff, HMTs and council leaders. The interview will explore program acceptability, drivers and barriers towards its implementation of this intervention. Data analysis: Quantitative data will be analyzed using appropriate statistical software and data are presented in tables, charts and frequencies. Statistical significance test for association of independent and dependent variables will be performed accordingly. Qualitative data will be analysed by using Ground theory where the contents analysis will be performed after the data being transcribed verbatim. Discussion: Leadership and governance is critical cross-cutting pillar for HSS. Routine performance measurement using validated tool is important to monitor the strengths and weaknesses of governance structures and health system performance with end results of health system responsiveness and resilient. Conclusion: HSS interventions with CQI involving leadership and governance are indispensable in restricted resource countries for achieving large ends with restricted resources.}, year = {2023} }
TY - JOUR T1 - Designing and Implementing Health System Strengthening Intervention Using Performance Score Card; the Effect on Health Service Delivery in Tanzania, a Study Protocol AU - Boniphace Marwa AU - Judith Zadock AU - Chacha Magige AU - Penina Mbwete AU - Khamis Kulemba AU - Advera Mtatina AU - Marry Makunja AU - Jerry Mwaikambo AU - Justine Godfrey AU - Ntuli Kapologwe AU - Paul Chaote AU - Tumaini Kengia AU - Salvatory Kalabamu AU - Anthony Kapesa AU - Adorat Mpolo AU - Judith Ringia AU - Anold Musiba AU - Frank Mganga AU - Agnes Kyamba AU - Oscar Tenganamba Y1 - 2023/06/29 PY - 2023 N1 - https://doi.org/10.11648/j.sjph.20231103.16 DO - 10.11648/j.sjph.20231103.16 T2 - Science Journal of Public Health JF - Science Journal of Public Health JO - Science Journal of Public Health SP - 94 EP - 107 PB - Science Publishing Group SN - 2328-7950 UR - https://doi.org/10.11648/j.sjph.20231103.16 AB - Introduction: Sustainable development goals (SDGs) need to be achieved by Low and Middle Income countries in order to achieve the Universal Health Care (UHC). The strategies and interventions to achieve UHC need to be robust and effective for health system to work optimally. Simiyu Region (Health department) designed a health system strengthening (HSS) intervention which uses a continuous quality improvement (CQI) approach to address health system challenges. The designed HSS intervention had a major focus on improving health system performance using governance and leadership health system pillar as a lever. Methods: This is a prospective observational study implemented along with national essential health intervention packages. The governance priority areas included formulation of performance measurement/score card tool with 34 indicators and 87 operational standards comprised of structural, processes and outcome indicators. Governance domains are; supportive supervision, data quality assessment, monthly and quarterly data review meetings, star rating assessment, health facility governance committee meetings, medicine and drug audit and so forth. Performance measurement was done in all six councils quarterly to ensure intervention institutionalization and improved indicators performance. Data collection: Quantitative data; Data collection tools for the intervention will be developed according to the objectives, research questions and outcomes and outputs from this intervention. Routine data collection tools of Ministry of Health will be used to collect data outcome data of service delivery. Observational data of governance performance are collected using the generated performance measurement tool. Qualitative data. Will be collected using in-depth interviews and focus group discussions with regional and council management teams, health care staff, HMTs and council leaders. The interview will explore program acceptability, drivers and barriers towards its implementation of this intervention. Data analysis: Quantitative data will be analyzed using appropriate statistical software and data are presented in tables, charts and frequencies. Statistical significance test for association of independent and dependent variables will be performed accordingly. Qualitative data will be analysed by using Ground theory where the contents analysis will be performed after the data being transcribed verbatim. Discussion: Leadership and governance is critical cross-cutting pillar for HSS. Routine performance measurement using validated tool is important to monitor the strengths and weaknesses of governance structures and health system performance with end results of health system responsiveness and resilient. Conclusion: HSS interventions with CQI involving leadership and governance are indispensable in restricted resource countries for achieving large ends with restricted resources. VL - 11 IS - 3 ER -