Assessing health system responsiveness in primary health care facilities in Tanzania.


Journal

BMC health services research
ISSN: 1472-6963
Titre abrégé: BMC Health Serv Res
Pays: England
ID NLM: 101088677

Informations de publication

Date de publication:
10 Feb 2020
Historique:
received: 11 03 2019
accepted: 05 02 2020
entrez: 12 2 2020
pubmed: 12 2 2020
medline: 22 5 2020
Statut: epublish

Résumé

Health system performance is one of the important components of the health care delivery; its achievement depends on the quality of services rendered and the health system responsiveness of its beneficiaries. Health system responsiveness is a multi-dimensional concept and is usually measured through several domains. Health system responsiveness (HSR) remains to be a key indicator for evaluation of health system performance in any settings. This study aimed at assessing the situation of health system responsiveness in primary health facilities in Tanzania prior to introduction of the Direct Health Facility Financing (DHFF) program. This was a cross sectional study conducted between January and February in 2018. We collected data from 42 primary health facilities (14 health centers and 28 dispensaries) where a questionnaire was administered to a total of 422 participants. The questionnaire collected information on attention, respect to dignity, clear communication, autonomy, access to care, respect to confidentiality and basic amenities. Descriptive analysis was done to determine the distribution of the variables whereas ANOVA and linear regression analysis was employed to discern the association between variables. More than 67% of participants had visited the same health facility more than 5 times. Sixty seven percent of the patients were residing within 5kms from the public primary health care facilities. The geographical access to health care scored the lowest (43.5% for Dispensaries and 36% for Health center) mean as compared to other domains of health system responsiveness. The highest score was in respect to confidentiality (86.7%) followed by respect to dignity (81.4%). Linear regression analysis revealed no statistical association between any of the social demographic features with the overall HSR performances. However, in post hoc analysis, Pwani and Shinyanga regions didn't differ significantly in terms of their performances whereas those two regions differ from all other regions. Based on the study findings health system responsiveness domains has performed relatively poor in many regions except for respect of dignity and confidentiality scored high of all the domains. Shinyanga and Pwani regions scored relatively well in all domains this could have been due to the effect of Results Based financing (RBF) in the respective regions. All in all the Government and other stakeholders in the health sector they should deliberately invest on the access to care domain as seem to be a challenge as compared to others.

Sections du résumé

BACKGROUND BACKGROUND
Health system performance is one of the important components of the health care delivery; its achievement depends on the quality of services rendered and the health system responsiveness of its beneficiaries. Health system responsiveness is a multi-dimensional concept and is usually measured through several domains. Health system responsiveness (HSR) remains to be a key indicator for evaluation of health system performance in any settings. This study aimed at assessing the situation of health system responsiveness in primary health facilities in Tanzania prior to introduction of the Direct Health Facility Financing (DHFF) program.
METHODS METHODS
This was a cross sectional study conducted between January and February in 2018. We collected data from 42 primary health facilities (14 health centers and 28 dispensaries) where a questionnaire was administered to a total of 422 participants. The questionnaire collected information on attention, respect to dignity, clear communication, autonomy, access to care, respect to confidentiality and basic amenities. Descriptive analysis was done to determine the distribution of the variables whereas ANOVA and linear regression analysis was employed to discern the association between variables.
RESULTS RESULTS
More than 67% of participants had visited the same health facility more than 5 times. Sixty seven percent of the patients were residing within 5kms from the public primary health care facilities. The geographical access to health care scored the lowest (43.5% for Dispensaries and 36% for Health center) mean as compared to other domains of health system responsiveness. The highest score was in respect to confidentiality (86.7%) followed by respect to dignity (81.4%). Linear regression analysis revealed no statistical association between any of the social demographic features with the overall HSR performances. However, in post hoc analysis, Pwani and Shinyanga regions didn't differ significantly in terms of their performances whereas those two regions differ from all other regions.
CONCLUSION CONCLUSIONS
Based on the study findings health system responsiveness domains has performed relatively poor in many regions except for respect of dignity and confidentiality scored high of all the domains. Shinyanga and Pwani regions scored relatively well in all domains this could have been due to the effect of Results Based financing (RBF) in the respective regions. All in all the Government and other stakeholders in the health sector they should deliberately invest on the access to care domain as seem to be a challenge as compared to others.

Identifiants

pubmed: 32041609
doi: 10.1186/s12913-020-4961-9
pii: 10.1186/s12913-020-4961-9
pmc: PMC7011252
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104

Subventions

Organisme : Swiss Development Cooperation (SDC)
ID : SDC/2018

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Auteurs

Ntuli A Kapologwe (NA)

Department of Health, Social welfare and Nutrition Services, President's Office Regional Administration and Local Government (PORALG), P. O Box 1923, Dodoma, Tanzania. nkapologwe2002@gmail.com.
College of Health Sciences, School of Nursing and Public Health, University of Dodoma, P. O Box 395, Dodoma, Tanzania. nkapologwe2002@gmail.com.

Stephen M Kibusi (SM)

College of Health Sciences, School of Nursing and Public Health, University of Dodoma, P. O Box 395, Dodoma, Tanzania.

Josephine Borghi (J)

Department of Global Health and Development, London School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, UK.

Dorothy O Gwajima (DO)

President's Office Regional Administration and Local Government (PORALG), P. O Box 1923, Dodoma, Tanzania.

Albino Kalolo (A)

Department of Public Health, St. Francis University College of Health and Allied Sciences, P. O Box 175, Ifakara, Tanzania.

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