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1.
Front Digit Health ; 4: 1008458, 2022.
Artículo en Inglés | MEDLINE | ID: mdl-36204711

RESUMEN

Background: Increasing global commitment to Universal Health Coverage (UHC) in the past decade has triggered UHC-inspired reforms and investments to expand health service coverage in many Low- and Middle-Income Countries (LMICs). UHC aims to ensure that all people can access quality health services, safeguard them from public health risks and impoverishment from out-of-pocket payments for healthcare when household members are sick. Aim: This paper reviews the role of health insurance as a policy tool to address health financing as a contributory mechanism for accelerating the achievement of UHC in LMICs. We focus on Nigeria's legal framework for health insurance coverage for its whole population and the role of technology in facilitating enrollment to health insurance schemes. Methods: From May to July 2022, we adopted a cross-sectional case study design combining: (i) a literature review of the effects of UHC with (ii) document analysis of health insurance systems in Nigeria, and (iii) secondary analysis of health insurance datasets to understand experiences of deploying MedStrat, a locally-developed digital health insurance management system, and its features that support the administration of health insurance schemes in multiple states of Nigeria. We drew on contemporary technology adoption models to triangulate diverse data analyzed from literature and documents reviews and from health insurance datasets to identify: (i) enablers of adoption of digital insurance schemes, (ii) the contribution of digital technology to expanding access to health insurance, and (iii) further scalability of digital insurance intervention. Results: Preliminary findings suggests that digital insurance management systems can help to increase the number of enrollees for insurance especially among poor households. Three contextual enablers of adoption of digital insurance schemes were a favourable policy environment, public-private-partnerships, and sustained stakeholder engagement and training. Discussion and conclusion: Key elements for successful scaling of digital health insurance schemes across Nigeria and similar contexts include: (i) ease of use, (ii) existing digital infrastructure to support electronic insurance systems, and (iii) trust manifested via data encryption, maintaining audit trails for all data, and in-built fraud prevention processes. Our findings affirm that digital health technology can play a role in the attainment of UHC in LMICs.

2.
Gen Hosp Psychiatry ; 47: 1-6, 2017 07.
Artículo en Inglés | MEDLINE | ID: mdl-28807132

RESUMEN

OBJECTIVE: This study aimed to evaluate the knowledge, perceived challenges and attitude of primary health care (PHC) workers in Lagos to depression and its management in the PHC. METHODS: Health workers (n=607) from 49 "flagship" PHCs in Lagos were evaluated for their level of knowledge, experience, competence, attitude and perceived challenges to managing depression in the primary care using a case vignette. RESULTS: More than half (56.2%) of the health workers correctly diagnosed depression. The most endorsed causative factors were "Psycho-social" (77.3%), but "spiritual factors" were endorsed by 36.2%. While only 39.4% agreed that the depressed patient is best managed in a PHC, 86.2% would support treating the patient in their PHC if their capacity is enhanced. Top identified challenges were "heavy work schedule" (68.5%) and "lack of competence of the PHC staff" (67.5%). Over 42% had poor attitude towards depressed patient. Having a mental health training was the major factor that predicted good knowledge (OR 4.52, 95%CI 2.96-7.00) and good attitude (OR 2.17, 95% CI 1.48-3.17). CONCLUSIONS: For successful scale up of mental health services in LMICs, the design of mental health training curriculum for PHC workers should consider their knowledge, experience, competence level, perception and attitudes.


Asunto(s)
Actitud del Personal de Salud/etnología , Trastorno Depresivo/etiología , Conocimientos, Actitudes y Práctica en Salud/etnología , Personal de Salud/estadística & datos numéricos , Atención Primaria de Salud/estadística & datos numéricos , Adulto , Femenino , Humanos , Masculino , Persona de Mediana Edad , Nigeria/etnología
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