Cargando…
A network analysis of patient referrals in two district health systems in Tanzania
Patient referral systems are fragile and overlooked components of the health system in Tanzania. Our study aims at exploring patient referral networks in two rural districts in Tanzania, Kilolo and Msalala. Firstly, we ask whether secondary-level facilities act as gatekeepers, mediating referrals fr...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7996649/ https://www.ncbi.nlm.nih.gov/pubmed/33367559 http://dx.doi.org/10.1093/heapol/czaa138 |
_version_ | 1783670149326307328 |
---|---|
author | Francetic, Igor Tediosi, Fabrizio Kuwawenaruwa, August |
author_facet | Francetic, Igor Tediosi, Fabrizio Kuwawenaruwa, August |
author_sort | Francetic, Igor |
collection | PubMed |
description | Patient referral systems are fragile and overlooked components of the health system in Tanzania. Our study aims at exploring patient referral networks in two rural districts in Tanzania, Kilolo and Msalala. Firstly, we ask whether secondary-level facilities act as gatekeepers, mediating referrals from primary- to tertiary-level facilities. Secondly, we explore the facility and network-level determinants of patient referrals focusing on treatment of childhood illnesses and non-communicable diseases. We use data collected across all public health facilities in the districts in 2018. To study gatekeeping, we employ descriptive network analysis tools. To explore the determinants of referrals, we use exponential random graph models. In Kilolo, we find a disproportionate share of patients referred directly to the largest hospital due to geographical proximity. In Msalala, small and specialized secondary-level facilities seem to attract more patients. Overall, the results call for policies to increase referrals to secondary facilities avoiding expensive referrals to hospitals, improving timeliness of care and reducing travel-related financial burden for households. |
format | Online Article Text |
id | pubmed-7996649 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-79966492021-04-01 A network analysis of patient referrals in two district health systems in Tanzania Francetic, Igor Tediosi, Fabrizio Kuwawenaruwa, August Health Policy Plan Original Articles Patient referral systems are fragile and overlooked components of the health system in Tanzania. Our study aims at exploring patient referral networks in two rural districts in Tanzania, Kilolo and Msalala. Firstly, we ask whether secondary-level facilities act as gatekeepers, mediating referrals from primary- to tertiary-level facilities. Secondly, we explore the facility and network-level determinants of patient referrals focusing on treatment of childhood illnesses and non-communicable diseases. We use data collected across all public health facilities in the districts in 2018. To study gatekeeping, we employ descriptive network analysis tools. To explore the determinants of referrals, we use exponential random graph models. In Kilolo, we find a disproportionate share of patients referred directly to the largest hospital due to geographical proximity. In Msalala, small and specialized secondary-level facilities seem to attract more patients. Overall, the results call for policies to increase referrals to secondary facilities avoiding expensive referrals to hospitals, improving timeliness of care and reducing travel-related financial burden for households. Oxford University Press 2020-12-24 /pmc/articles/PMC7996649/ /pubmed/33367559 http://dx.doi.org/10.1093/heapol/czaa138 Text en © The Author(s) 2020. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Francetic, Igor Tediosi, Fabrizio Kuwawenaruwa, August A network analysis of patient referrals in two district health systems in Tanzania |
title | A network analysis of patient referrals in two district health systems in Tanzania |
title_full | A network analysis of patient referrals in two district health systems in Tanzania |
title_fullStr | A network analysis of patient referrals in two district health systems in Tanzania |
title_full_unstemmed | A network analysis of patient referrals in two district health systems in Tanzania |
title_short | A network analysis of patient referrals in two district health systems in Tanzania |
title_sort | network analysis of patient referrals in two district health systems in tanzania |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7996649/ https://www.ncbi.nlm.nih.gov/pubmed/33367559 http://dx.doi.org/10.1093/heapol/czaa138 |
work_keys_str_mv | AT franceticigor anetworkanalysisofpatientreferralsintwodistricthealthsystemsintanzania AT tediosifabrizio anetworkanalysisofpatientreferralsintwodistricthealthsystemsintanzania AT kuwawenaruwaaugust anetworkanalysisofpatientreferralsintwodistricthealthsystemsintanzania AT franceticigor networkanalysisofpatientreferralsintwodistricthealthsystemsintanzania AT tediosifabrizio networkanalysisofpatientreferralsintwodistricthealthsystemsintanzania AT kuwawenaruwaaugust networkanalysisofpatientreferralsintwodistricthealthsystemsintanzania |