Annual Primary Care 2030 Convening: Creating an Enabling Ecosystem for Person-Centered Primary Healthcare Models to Achieve Universal Health Coverage in Low- and Middle-Income Countries

Alpert, Jessica L.; Akinola, Sofiat; Booty, Edward; Dimitrova, Dessislava; T., Thu; Emmanuel, Audu Lucky; Fröhlicher, Pascal; Gitonga, Caroline W.; Hang, Phan Le Thu; Hunt, Lindsay; Hussein, Salim; Kiarie, Helen; Mistry, Sejal; Ngechu, Ruth; Nikolic, Irina; Olago, Agatha; Pollack, Todd; Vellenga, Ruben; Wispelwey, Bram; Duong, David B.

doi:10.5334/aogh.2948

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…The strategy aims at improving the management of health information systems in the PHC facilities particularly through the use of sustainable and interoperable electronic systems. Improving the use of data is essential in strengthening PHC in a way that will ensure its orientation towards person centred care in PHC (Alpert et al, 2020). Therefore, it is recommended for Tanzania to make use of the data use partnership project to strengthen culture Journal of Service Science and Management of data use in PHC facilities by focusing on having better data (i.e.…”

Section: Discussionmentioning

confidence: 99%

The Use of Data for Planning and Services Improvement in Tanzanian Primary Healthcare Facilities: Experience from Star Rating Assessment

German¹,

Kinyenje²,

Yahya³

et al. 2023

JSSM

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Background: The use of data for planning and improving healthcare delivery is sub-optimal among developing countries. In 2015, Tanzania started to implement the Star Rating Assessment (SRA) process for Primary Health Care (PHC) facilities to improve various dimensions of quality of services, including the use of data. We aimed at assessing the extent and predictors of data use in Tanzanian PHC facilities. Methods: We used the most current national SRA data available in DHIS2 that was collected in 2017/2018 from all 7289 PHC facilities. A facility was considered using data if gained 80% of the allocated scores. Other dependent variables were the three components that together contribute to the use of data (If PHC facility has Health Management Information Systems (HMISs) functional, disseminates information, and has proper medical records). We determined the association between data use and facility ownership status (public or private), location of the facility (rural or urban), gender of the facility in charge, and facility service level (dispensary, health centre, or hospital). Results are presented as proportions of facilities that

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Section: Discussionmentioning

confidence: 99%

The Use of Data for Planning and Services Improvement in Tanzanian Primary Healthcare Facilities: Experience from Star Rating Assessment

German¹,

Kinyenje²,

Yahya³

et al. 2023

JSSM

View full text Add to dashboard Cite

show abstract

“…The strategy aims at improving the management of health information systems in the PHC facilities particularly through the use of sustainable and interoperable electronic systems. Improving the use of data is essential in strengthening PHC in a way that will ensure its orientation towards person centred care in PHC [26]. Therefore, it is recommended for Tanzania to make use of the data use partnership project to strengthen culture of data use in PHC facilities by focusing on having better data (i.e., strengthening quality of data production) and implementing interventions that will help to nudge health workers towards a behaviour of regular data use [27].…”

Section: Discussionmentioning

confidence: 99%

The use of data for planning and service improvement in Tanzanian Primary healthcare facilities: Experience from Star Rating Assessment

Kinyenje

German

Yahya

et al. 2022

Preprint

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Background The use of data for planning and improving healthcare delivery is sub-optimal among developing countries. In 2015, Tanzania started to implement Star Rating Assessment (SRA) process for primary health care (PHC) facilities to improve various dimensions of quality of services, including the use of data. We aimed at assessing the extent and predictors of data use in Tanzanian PHC facilities. Methodology We used the most current national SRA data available in DHIS2 that was collected in 2017/2018 from all 7,289 PHC facilities. A facility was considered using data if gained 80% of the allocated scores. Other dependent variables were the three components that together contribute to the use of data [If PHC facility has Health Management Information systems (HMIS) functional, disseminate information, and has proper medical records]. We determined the association between data use and facility ownership status (public or private), location of the facility (rural or urban) and facility service level (dispensary, health centre or hospital). Results are presented as proportions of facilities that qualified for data use and the three components. The associations are reported in Adjusted odds ratio (AOR) with a 95% confidence interval (CI). Results A total of 6,663(91.4%) PHC facilities met our inclusion criteria for analysis. Among the facilities: 1,198(18.0%) had used data for planning and services improvement; 3,792(56.9%) had functional HMIS; 1,752(26.3%) had disseminated data; and 631(9.5%) had proper medical records. PHC facilities that are publicly owned (AOR 1.25; 95% CI: 1.05–1.48) and those at higher service level [hospitals (AOR 1.77; 95% CI: 1.27–2.46) and health centres (AOR 1.39; 95% CI: 1.15–1.68) compared to dispensaries] were more likely to use data. Conclusion The use of facility data for planning and services improvement in Tanzanian PHC facilities is low, and much effort needs to be targeted at privately-owned and low-level PHC facilities.

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“…Shifting the overall programme strategy towards patient-near care delivery and community engagement is an important step towards universal health care ( Alpert et al. , 2020 ; Ehrenkranz et al.…”

Section: Discussionmentioning

confidence: 99%

Re-evaluating the merits of decentralization as a core strategy for effective delivery of drug-resistant tuberculosis care in Pakistan

Khan

Lotia-Farrukh

Akhtar

et al. 2022

Health Policy and Planning

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Decentralised, person-centred models of care-delivery for drug-resistant tuberculosis (DR-TB) continue to be under-resourced in high burden TB countries. The implementation of such models – made increasingly urgent by the COVID-19 pandemic – are key to addressing gaps in DR-TB care. We abstracted data of RR/MDR-TB patients initiated on treatment at 11 facilities between 2010 and 2017 in Sindh and Balochistan provinces of Pakistan. We analysed trends in treatment outcomes relating to program expansion to peri-urban and rural areas and estimated driving distance from patient residence to treatment facility. Among the 5586 RR/MDR-TB patients in the analysis, overall treatment success decreased from 82% to 66% between 2010 and 2017, as the program expanded. The adjusted risk ratio for unfavourable outcomes was 1.013 (95% CI 1.005-1.021) for every 20 kilometres of driving distance. Our analysis suggests that expanding DR-TB care to centralised hubs added to increased unfavourable outcomes for people accessing care in peri-urban and rural districts. We propose that as enrolments increase, expanding DR-TB services close to or within affected communities is essential.

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Annual Primary Care 2030 Convening: Creating an Enabling Ecosystem for Person-Centered Primary Healthcare Models to Achieve Universal Health Coverage in Low- and Middle-Income Countries

Cited by 6 publications

References 9 publications

The Use of Data for Planning and Services Improvement in Tanzanian Primary Healthcare Facilities: Experience from Star Rating Assessment

The Use of Data for Planning and Services Improvement in Tanzanian Primary Healthcare Facilities: Experience from Star Rating Assessment

The use of data for planning and service improvement in Tanzanian Primary healthcare facilities: Experience from Star Rating Assessment

Re-evaluating the merits of decentralization as a core strategy for effective delivery of drug-resistant tuberculosis care in Pakistan

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