{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T08:20:07Z","timestamp":1787818807809,"version":"build-2784847793"},"reference-count":27,"publisher":"AOSIS","issue":"1","license":[{"start":{"date-parts":[[2026,8,29]],"date-time":"2026-08-29T00:00:00Z","timestamp":1787961600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:p>Background:\u00a0Effective patient referral systems are vital for ensuring timely access to advanced healthcare services, particularly in remote areas. In Zambia\u2019s rural districts such as Mbala, the referral system faces critical challenges, including poor road networks, limited ambulance services, unreliable communication infrastructure and a lack of medical personnel at lower-level facilities. These issues contribute to delays, preventable complications, and increased patient morbidity and mortality.\nAim:\u00a0This study aims to assess the effectiveness of the patient referral system in Mbala District by examining logistical, infrastructural and human resource constraints that hinder timely and appropriate patient transfers from rural health facilities to higher-level care.\nSetting:\u00a0The study was conducted in Mbala District, a predominantly rural district in Zambia\u2019s Northern province, where geographical barriers, limited health infrastructure, and resource constraints present significant challenges to the effectiveness of the patient referral system.\nMethods:\u00a0This study employed a descriptive cross-sectional design. Data were collected over 2 weeks using questionnaires from 18 health facility in-charges and community interviews, then analysed using Jeffreys\u2019s Amazing Statistics Program (JASP) version 0.19.3 to evaluate referral accessibility, timeliness and effectiveness.\nResults:\u00a0Statistical analyses show that communication reliability is the strongest predictor of referral success and satisfaction (\u03b2\u00a0= 0.63,\u00a0p\u00a0= 0.002), also reducing delays by 1.89 h (\u03b2\u00a0= \u20131.89,\u00a0p\u00a0= 0.007). Distance negatively affects referrals (r\u00a0= \u20130.52), with over 70% of facilities beyond 25 km. Grid-powered facilities face 16-h daily power outages. A chi-square test found no significant link between community awareness and satisfaction (\u03c72\u00a0= 1.68,\u00a0p\u00a0= 0.1951).\nConclusion:\u00a0The referral system in Mbala District is significantly constrained by logistical and structural barriers. Targeted interventions, including improved transport logistics, communication infrastructure and staff training, are necessary to enhance patient outcomes in rural settings.\nContribution:\u00a0This study contributes empirical evidence on referral barriers in rural Zambia, highlighting communication, transport, distance, infrastructure and staffing as critical determinants of timely and effective patient referrals.<\/jats:p>","DOI":"10.4102\/phcfm.v18i1.5237","type":"journal-article","created":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T08:02:17Z","timestamp":1787817737000},"update-policy":"https:\/\/doi.org\/10.4102\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Assessing the effectiveness of the patient referral system in remote Zambia: A case study of Mbala District"],"prefix":"10.4102","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-2510-0504","authenticated-orcid":false,"given":"Austine","family":"Dolopo","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/03gh19d69","id-type":"ROR","asserted-by":"publisher"}],"name":"University of Zambia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2580","published-online":{"date-parts":[[2026,8,29]]},"reference":[{"key":"ref0","doi-asserted-by":"crossref","unstructured":"Singh S, Doyle P, Campbell OM, Mathew M, Murthy GVS. Referrals between public sector health institutions for women with obstetric high risk, complications, or emergencies in India \u2013 A systematic review. PLoS One. 2016;11(8):e0159793. https:\/\/doi.org\/10.1371\/journal.pone.0159793","DOI":"10.1371\/journal.pone.0159793"},{"key":"ref1","doi-asserted-by":"crossref","unstructured":"Atkinson S, Ngwengwe A, Macwan\u2019gi M, Ngulube TJ, Harpham T, O\u2019Connell A. The referral process and urban health care in sub-Saharan Africa: The case of Lusaka, Zambia. Soc Sci Med. 1999;49(1):27\u201338. https:\/\/doi.org\/10.1016\/S0277-9536(99)00072-6","DOI":"10.1016\/S0277-9536(99)00072-6"},{"key":"ref2","doi-asserted-by":"crossref","unstructured":"Benson AE, Benson MJ, Luke AH. Assessment of maternal referral systems used for a rural Zambian hospital: The development of setting specific protocols for the identification of complications. Afr Health Sci. 2019;19(1):1536\u20131543. https:\/\/doi.org\/10.4314\/ahs.v19i1.27","DOI":"10.4314\/ahs.v19i1.27"},{"key":"ref3","doi-asserted-by":"crossref","unstructured":"Tomei J, Long S To. Access to Energy: The contribution of the social sciences to delivering energy equity and justice. In Webb J, Wade G, Tingey M, Elgar E, editors. Research handbook on energy and society. Cheltenham: Edward Elgar Publishing; 2021;126\u2013140. https:\/\/doi.org\/10.4337\/9781839100710.00019.","DOI":"10.4337\/9781839100710.00019"},{"key":"ref4","doi-asserted-by":"crossref","unstructured":"Topp SM, Chipukuma JM, Giganti M, et al. Strengthening health systems at facility-level: Feasibility of integrating antiretroviral therapy into primary health care services in Lusaka, Zambia. PLoS One. 2010;5(7):e11522. https:\/\/doi.org\/10.1371\/journal.pone.0011522","DOI":"10.1371\/journal.pone.0011522"},{"key":"ref5","unstructured":"Ministry of Health (Zambia). Health sector performance report 2020. Lusaka, Zambia: Ministry of Health; 2020."},{"key":"ref6","unstructured":"Zambia Statistics Agency, Ministry of Health (MOH), and ICF. Zambia Demographic and Health Survey 2018. Lusaka, Zambia: Zambia Statistics Agency, Ministry of Health, and ICF; 2020."},{"key":"ref7","doi-asserted-by":"crossref","unstructured":"Mould-Millman N-K, Dixon J, Burkholder TW, et al. Fifteen years of emergency medicine literature in Africa: A scoping review. African Journal of Emergency Medicine. 2019;9(1):45\u201352. https:\/\/doi.org\/10.1016\/j.afjem.2019.01.006","DOI":"10.1016\/j.afjem.2019.01.006"},{"key":"ref8","doi-asserted-by":"crossref","unstructured":"Musiimenta A, Tumuhimbise W, Pinkwart N, Katusiime J, Mugyenyi G, Atukunda EC. A mobile phone-based multimedia intervention to support maternal health is acceptable and feasible among illiterate pregnant women in Uganda: Qualitative findings from a pilot randomized controlled trial. Digit Health. 2021;7:2055207620986296. https:\/\/doi.org\/10.1177\/2055207620986296","DOI":"10.1177\/2055207620986296"},{"key":"ref9","unstructured":"Ministry of Health. Northern Province: Mbala District Health Office Medium Term Expenditure Framework (MTEF) Action Plan for 2024 to 2026. Mbala: Ministry of Health (Unpublished)."},{"key":"ref10","doi-asserted-by":"crossref","unstructured":"Gabrysch S, Cousens S, Cox J, Campbell OMR. The influence of distance and level of care on delivery place in rural Zambia: A study of linked national data in a geographic information system. PLoS Med. 2011;8(1):e1000394. https:\/\/doi.org\/10.1371\/journal.pmed.1000394.","DOI":"10.1371\/journal.pmed.1000394"},{"key":"ref11","doi-asserted-by":"crossref","unstructured":"Kruk ME, Gage AD, Arsenault C, et al. High-quality health systems in the Sustainable Development Goals era: Time for a revolution. Lancet Glob Health. 2018;6(11):e1196\u2013e1252. https:\/\/doi.org\/10.1016\/S2214-109X(18)30386-3","DOI":"10.1016\/S2214-109X(18)30386-3"},{"key":"ref12","doi-asserted-by":"crossref","unstructured":"Lukonga E, Michelo C. Factors associated with neonatal mortality in the general population: Evidence from the 2007 Zambia Demographic and Health Survey (ZDHS); a cross sectional study. Pan Afr Med J. 2015;20(1):64. https:\/\/doi.org\/10.11604\/pamj.2015.20.64.5616","DOI":"10.11604\/pamj.2015.20.64.5616"},{"key":"ref13","doi-asserted-by":"crossref","unstructured":"Mupela EN, Mustarde P, Jones HLC. Telemedicine in primary health: The virtual doctor project Zambia. Philos Ethics Humanit Med. 2011;6(1):9. https:\/\/doi.org\/10.1186\/1747-5341-6-9","DOI":"10.1186\/1747-5341-6-9"},{"key":"ref14","unstructured":"World Health Organization. Access to modern energy services for health facilities in resource-constrained settings. Geneva: WHO; 2015."},{"key":"ref15","doi-asserted-by":"crossref","unstructured":"Atkinson J, Wells R, Page A, et al. Applications of system dynamics modelling to support health policy. Public Health Res Pract. 2015;25(3):1\u20138. https:\/\/doi.org\/10.17061\/phrp2531531","DOI":"10.17061\/phrp2531531"},{"key":"ref16","doi-asserted-by":"crossref","unstructured":"Adair-Rohani H, Zukor K, Bonjour S, et al. Limited electricity access in health facilities of sub-Saharan Africa. Environ Health Perspect. 2013;122:114. https:\/\/doi.org\/10.9745\/GHSP-D-13-00037","DOI":"10.9745\/GHSP-D-13-00037"},{"key":"ref17","unstructured":"Scott A, Worrall L, H\u00f6rnberg J, To LS. How solar household systems contribute to resilience. Working Paper No. 528. London: Overseas Development Institute (ODI); 2017;20."},{"key":"ref18","doi-asserted-by":"crossref","unstructured":"Mutale W, Godfrey-Fausset P, Mwanamwenge MT, et al. Measuring health system strengthening: Application of the balanced scorecard approach to rank the baseline performance of three rural districts in Zambia. PLoS One. 2013;8(3):e58650. https:\/\/doi.org\/10.1371\/journal.pone.0058650","DOI":"10.1371\/journal.pone.0058650"},{"key":"ref19","doi-asserted-by":"crossref","unstructured":"Peters DH et al. Poverty and access to health care in developing countries. Ann NY Acad Sci. 2008;1136(1):161\u2013171. https:\/\/doi.org\/10.1196\/annals.1425.011","DOI":"10.1196\/annals.1425.011"},{"key":"ref20","doi-asserted-by":"crossref","unstructured":"Ouma PO, Maina J, Thuranira PN, et al. Access to emergency hospital care provided by the public sector in sub-Saharan Africa in 2015: a geocoded inventory and spatial analysis. Lancet Glob Health. 2018;6(3):E342\u2013E350.","DOI":"10.1016\/S2214-109X(17)30488-6"},{"key":"ref21","doi-asserted-by":"crossref","unstructured":"Waiswa P, Peterson S, Tomson G, Pariyo GW. Poor newborn care practices \u2013 A population-based survey in eastern Uganda. BMC Pregnancy Childbirth. 2010;10(1):9. https:\/\/doi.org\/10.1186\/1471-2393-10-9","DOI":"10.1186\/1471-2393-10-9"},{"key":"ref22","doi-asserted-by":"crossref","unstructured":"Awoonor-Williams JK, Sory EK, Nyonator FK, Phillips JF, Wang C, Schmitt ML. Lessons learned from scaling up a community-based health program in the Upper East Region of northern Ghana. Glob Health Sci Pract. 2013;1(1):117\u2013133. https:\/\/doi.org\/10.9745\/GHSP-D-12-00012","DOI":"10.9745\/GHSP-D-12-00012"},{"key":"ref23","doi-asserted-by":"crossref","unstructured":"Kipruto H, Muneene D, Droti B, et al. Use of digital health interventions in sub-Saharan Africa for health systems strengthening over the last 10 years: A scoping review protocol. Front Digit Health. 2022;4:874251. https:\/\/doi.org\/10.3389\/fdgth.2022.874251","DOI":"10.3389\/fdgth.2022.874251"},{"key":"ref24","doi-asserted-by":"crossref","unstructured":"Hewett PC, Nalubamba M, Bozzani F, et al. Randomized evaluation and cost-effectiveness of HIV and sexual and reproductive health service referral and linkage models in Zambia. BMC Public Health. 2016;16(1):785. https:\/\/doi.org\/10.1186\/s12889-016-3450-x","DOI":"10.1186\/s12889-016-3450-x"},{"key":"ref25","unstructured":"World Health Organization and UNICEF. Every new born: An action plan to end preventable deaths [homepage on the Internet]. 2016 [cited 2025 Jan 2]. Available from: https:\/\/www.unicef.org\/media\/84896\/file\/Every-Newborn-Action-Plan-EN.pdf"},{"key":"ref26","doi-asserted-by":"crossref","unstructured":"Atukunda EC, Matthews LT, Musiimenta A, et al. mHealth-based health promotion intervention to improve use of maternity care services among women in rural Southwestern Uganda: Iterative development study. JMIR Form Res. 2021;5(11):e29214. https:\/\/doi.org\/10.2196\/29214","DOI":"10.2196\/29214"}],"container-title":["African Journal of Primary Health Care &amp; Family Medicine"],"original-title":[],"link":[{"URL":"https:\/\/phcfm.org\/index.php\/phcfm\/article\/view\/5237\/9705","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T08:02:24Z","timestamp":1787817744000},"score":1,"resource":{"primary":{"URL":"https:\/\/phcfm.org\/index.php\/phcfm\/article\/view\/5237"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,29]]},"references-count":27,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,1,1]]}},"URL":"https:\/\/doi.org\/10.4102\/phcfm.v18i1.5237","relation":{},"ISSN":["2071-2928","2071-2936"],"issn-type":[{"value":"2071-2928","type":"print"},{"value":"2071-2936","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,29]]},"article-number":"a5237"}}