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An integrative review on individual determinants of enrolment in National Health Insurance Scheme among older adults in Ghana

BACKGROUND: We conducted an integrative review in an attempt to methodically and systematically understand the individual (personal factors) that influence National Health Insurance Scheme [NHIS] enrolment among older adults aged 50 years and above. The study was premised on evidence pointing to a s...

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Detalles Bibliográficos
Autores principales: Morgan, Anthony Kwame, Adei, Dina, Agyemang-Duah, Williams, Mensah, Anthony Acquah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9338578/
https://www.ncbi.nlm.nih.gov/pubmed/35907799
http://dx.doi.org/10.1186/s12875-022-01797-6
Descripción
Sumario:BACKGROUND: We conducted an integrative review in an attempt to methodically and systematically understand the individual (personal factors) that influence National Health Insurance Scheme [NHIS] enrolment among older adults aged 50 years and above. The study was premised on evidence pointing to a state of little or no change in the enrolment rates [especially among older adults], which contrasts with the initial euphoria that greeted the launch of the scheme - which culminated in high enrolment rates. METHODS: The integrative literature review was conducted to synthesise the available evidence on individual determinants of NHIS among older adults. The methodological approach of the integrative literature review follows a five-stage interdependent and interconnected procedure of problem identification, literature search, data evaluation, data analysis and results presentation. Studies that met the inclusion criteria were peer-reviewed articles published in the English Language, from January 2010 to July 2020 and have Ghana as its setting or study area. The Andersen's Behavioural Model was used to categorize the predictor variables. RESULTS: Predisposing factors [gender, age, level of education and marital status], enabling factors [income] and need factors [health conditions or health attributes of older adults] were identified as individual predictors of NHIS enrolment among older adults. The findings support argument of Andersen's Behavioural Model [where predisposing, enabling and need factors are considered as individual determinants of health behaviour]. CONCLUSIONS: The findings call for policy reforms that take into account the aforementioned individual predictors of NHIS enrolment, especially among the aged.