Generic placeholder image

当代阿耳茨海默病研究

Editor-in-Chief

ISSN (Print): 1567-2050
ISSN (Online): 1875-5828

Research Article

加纳患有中度至重度认知障碍的老年人利用医疗保健的预测因素:对世卫组织全球老龄化与成人健康研究(SAGE)第一波的横断面分析

卷 19, 期 8, 2022

发表于: 12 October, 2022

页: [585 - 605] 页: 21

弟呕挨: 10.2174/1567205019666220905153301

价格: $65

conference banner
摘要

背景:随着加纳老年人人数的不断增加,与年龄有关的疾病和状况也越来越普遍,这些疾病和状况往往会导致认知能力下降。然而,关于认知局限老年人医疗保健利用的预测因素的知识仍然匮乏。 目的:本研究探讨加纳中至重度认知障碍老年人就医行为的预测因素。 方法:基于Andersen的卫生服务利用行为模型,采用双变量Probit回归和Heckman选择模型对加纳3106名50岁以上有中度至重度认知局限的老年人的数据进行分析。 结果:结果显示,75岁以上、居住在城市住区、受过教育、收入水平较高、父母具有一定教育水平、有养老金福利、以及强制性和自愿性医疗保险的个体更有可能寻求住院护理。国家健康保险计划和其他类型的医疗保险等赋能资源、家庭收入、养老金福利和教育等易感性因素影响中度至重度认知限制老年人的门诊和住院医疗保健消费,但对除健康保险外的医疗保健设施的选择影响不大。 结论:由于有中度至重度认知障碍的老年人寻求医疗保健的行为是由若干内部和外部因素共同驱动的,因此有必要改变政策,了解并谨慎地将这些因素纳入改善这些人公平获得医疗保健服务的决策中,因为在为他们提供高质量的医疗服务方面,并非所有规模都适合所有规模。

关键词: 医疗保健利用,医疗保健寻求行为,老年人,认知衰退,安徒生行为模型,加纳

[1]
Nations U. World population ageing 2017 (ST/ESA/SERA/408) Department of Economic and Social Affairs, Population Division, United Nations 2020. Available from: [https://www.un.org/development/desa/pd/sites/www.un.org.development.desa.pd/files/files/documents/2020/May/un_2017_worldpopulationageing_report.pdf]
[2]
Agyemang DW, Arthur HF, Peprah C, Adei D, Peprah P. Dynamics of health information-seeking behaviour among older adults with very low incomes in Ghana: A qualitative study. BMC Public Health 2020; 20(1): 928.
[http://dx.doi.org/10.1186/s12889-020-08982-1] [PMID: 32539693]
[3]
Organisation WH.. World report on ageing and health Geneva: WHO 2015. Available from : [https://apps.who.int/iris/handle/10665/186463]
[4]
Gonzales MM, Garbarino VR, Pollet E, et al. Biological aging processes underlying cognitive decline and neurodegenerative disease. J Clin Invest 2022; 132(10): e158453.
[http://dx.doi.org/10.1172/JCI158453] [PMID: 35575089]
[5]
Harada CN, Natelson LMC, Triebel KL. Normal cognitive aging. Clin Geriatr Med 2013; 29(4): 737-52.
[http://dx.doi.org/10.1016/j.cger.2013.07.002] [PMID: 24094294]
[6]
Mattson MP, Arumugam TV. Hallmarks of brain aging: Adaptive and pathological modification by metabolic states. Cell Metab 2018; 27(6): 1176-99.
[http://dx.doi.org/10.1016/j.cmet.2018.05.011] [PMID: 29874566]
[7]
Hara Y, McKeehan N, Fillit HM. Translating the biology of aging into novel therapeutics for Alzheimer’s disease. Neurology 2019; 92(2): 84-93.
[http://dx.doi.org/10.1212/WNL.0000000000006745] [PMID: 30530798]
[8]
López OC, Blasco MA, Partridge L, Serrano M, Kroemer G. The hallmarks of aging. Cell 2013; 153(6): 1194-217.
[http://dx.doi.org/10.1016/j.cell.2013.05.039] [PMID: 23746838]
[9]
Fontana L, Partridge L, Longo VD. Extending healthy life span- From yeast to humans. Science 2010; 328(5976): 321-6.
[http://dx.doi.org/10.1126/science.1172539] [PMID: 20395504]
[10]
Kaeberlein M. Translational geroscience: A new paradigm for 21st century medicine. Transl Med Aging 2017; 1: 1-4.
[http://dx.doi.org/10.1016/j.tma.2017.09.004] [PMID: 32219192]
[11]
Salthouse TA. Trajectories of normal cognitive aging. Psychol Aging 2019; 34(1): 17-24.
[http://dx.doi.org/10.1037/pag0000288] [PMID: 30211596]
[12]
Tucker DEM. Global and domain-specific changes in cognition throughout adulthood. Dev Psychol 2011; 47(2): 331-43.
[http://dx.doi.org/10.1037/a0021361] [PMID: 21244145]
[13]
Yanai S, Endo S. Functional aging in male C57BL/6J Mice across the life-span: A systematic behavioral analysis of motor, emotional, and memory function to define an aging phenotype. Front Aging Neurosci 2021; 13: 697621.
[http://dx.doi.org/10.3389/fnagi.2021.697621] [PMID: 34408644]
[14]
Magnusson KR, Scruggs B, Aniya J, et al. Age-related deficits in mice performing working memory tasks in a water maze. Behav Neurosci 2003; 117(3): 485-95.
[http://dx.doi.org/10.1037/0735-7044.117.3.485] [PMID: 12802877]
[15]
Whitson HE, Cronin GA, Cruickshanks KJ, et al. American Geriatrics Society and National Institute on aging bench-to-bedside conference: Sensory impairment and cognitive decline in older adults. JAGS 2018; 66(11): 2052-8.
[http://dx.doi.org/10.1111/jgs.15506]
[16]
Radulescu CI, Cerar V, Haslehurst P, Kopanitsa M, Barnes SJ. The aging mouse brain: Cognition, connectivity and calcium. Cell Calcium 2021; 94: 102358.
[http://dx.doi.org/10.1016/j.ceca.2021.102358] [PMID: 33517250]
[17]
Gyasi RM, Phillips DR. Gender, self-rated health and functional decline among community-dwelling older adults. Arch Gerontol Geriatr 2018; 77: 174-83.
[http://dx.doi.org/10.1016/j.archger.2018.05.010] [PMID: 29787956]
[18]
Larnyo E, Dai B, Akey TB, et al. Evaluating Ghanaian family carers’ perceptions on the use of healthcare wearable devices by dementia patients. Int J Sci Res Sci Eng Technol 2020; 7(2): 612-27. [IJSRSET]
[http://dx.doi.org/10.32628/IJSRSET2072117]
[19]
Dai B, Larnyo E, Tetteh EA, Aboagye AK, Musah AAI. Factors affecting Caregivers’ acceptance of the use of wearable devices by patients with dementia: An extension of the unified theory of acceptance and use of technology model. Am J Alzheimers Dis Other Demen 2020; 35: 1-11.
[http://dx.doi.org/10.1177/1533317519883493] [PMID: 31679390]
[20]
Batty GD, Deary IJ, Zaninotto P. Association of cognitive function with cause-specific mortality in middle and older age: Follow-up of participants in the English longitudinal study of ageing. Am J Epidemiol 2016; 183(3): 183-90.
[http://dx.doi.org/10.1093/aje/kwv139] [PMID: 26803665]
[21]
Deary IJ, Harris SE, Hill WD. What genome-wide association studies reveal about the association between intelligence and physical health, illness, and mortality. Curr Opin Psychol 2019; 27: 6-12.
[http://dx.doi.org/10.1016/j.copsyc.2018.07.005] [PMID: 30071465]
[22]
Mimenza AAJ, Jiménez CGA, Yeverino CSG, et al. Effect of poor glycemic control in cognitive performance in the elderly with type 2 diabetes mellitus: The Mexican health and aging study. BMC Geriatr 2020; 20(1): 424.
[http://dx.doi.org/10.1186/s12877-020-01827-x] [PMID: 33096995]
[23]
Singh P, Govil D, Kumar V, Kumar J. Cognitive impairment and quality of life among elderly in India. Appl Res Qual Life 2017; 12(4): 963-79.
[http://dx.doi.org/10.1007/s11482-016-9499-y]
[24]
Amegbor PM, Kuuire VZ, Robertson H, Kuffuor OA. Predictors of basic self-care and intermediate self-care functional disabilities among older adults in Ghana. Arch Gerontol Geriatr 2018; 77: 81-8.
[http://dx.doi.org/10.1016/j.archger.2018.04.006] [PMID: 29684742]
[25]
De Graft AA, Kushitor M, Koram K, Gyamfi S, Ogedegbe G. Chronic non-communicable diseases and the challenge of universal health coverage: insights from community-based cardiovascular disease research in urban poor communities in Accra, Ghana. BMC Public Health 2014; 14 (Suppl. 2): S3.
[http://dx.doi.org/10.1186/1471-2458-14-S2-S3]
[26]
Sarfo FS, Akassi J, Awuah D, et al. Trends in stroke admission and mortality rates from 1983 to 2013 in central Ghana. J Neurol Sci 2015; 357(1-2): 240-5.
[http://dx.doi.org/10.1016/j.jns.2015.07.043] [PMID: 26293417]
[27]
Appiah LT, Sarfo FS, Agyemang C, et al. Current trends in admissions and outcomes of cardiac diseases in Ghana. Clin Cardiol 2017; 40(10): 783-8.
[http://dx.doi.org/10.1002/clc.22753] [PMID: 28692760]
[28]
Bosu WK, Bosu DK. Prevalence, awareness and control of hypertension in Ghana: A systematic review and meta-analysis. PLoS One 2021; 16(3): e0248137.
[http://dx.doi.org/10.1371/journal.pone.0248137] [PMID: 33667277]
[29]
Minicuci N, Biritwum RB, Mensah G, et al. Sociodemographic and socioeconomic patterns of chronic non-communicable disease among the older adult population in Ghana. Glob Health Action 2014; 7: 21292.
[http://dx.doi.org/10.3402/gha.v7.21292]
[30]
Sanuade OA, Boatemaa S, Kushitor MK. Hypertension prevalence, awareness, treatment and control in Ghanaian population: Evidence from the Ghana demographic and health survey. PLoS One 2018; 13(11): e0205985.
[http://dx.doi.org/10.1371/journal.pone.0205985] [PMID: 30403686]
[31]
Nakua EK, Otupiri E, Dzomeku VM, et al. Gender disparities of chronic musculoskeletal disorder burden in the elderly Ghanaian population: Study on global ageing and adult health (SAGE WAVE 1). BMC Musculoskelet Disord 2015; 16: 204.
[http://dx.doi.org/10.1186/s12891-015-0666-3]
[32]
Damasceno A, Azevedo A, Silva MC, Prista A, Diogo D, Lunet N. Hypertension prevalence, awareness, treatment, and control in mozambique: Urban/rural gap during epidemiological transition. Hypertension 2009; 54(1): 77-83.
[http://dx.doi.org/10.1161/HYPERTENSIONAHA.109.132423]
[33]
Hamid S, Groot W, Pavlova M. Trends in cardiovascular diseases and associated risks in sub-Saharan Africa: A review of the evidence for Ghana, Nigeria, South Africa, Sudan and Tanzania. The aging male 2019; 22(3): 169-76.
[http://dx.doi.org/10.1080/13685538.2019.1582621]
[34]
Kushitor MK, Boatemaa S. The double burden of disease and the challenge of health access: Evidence from access, bottlenecks, cost and equity facility survey in Ghana. PLoS One 2018; 13(3): e0194677.
[http://dx.doi.org/10.1371/journal.pone.0194677] [PMID: 29570720]
[35]
Guo B, Xie X, Wu Q, et al. Inequality in the health services utilization in rural and urban China. Medicine 2020; 99(2): e18625.
[http://dx.doi.org/10.1097/MD.0000000000018625] [PMID: 31914043]
[36]
Ku I, Lee W, Lee S. Declining family support, changing income sources, and older people poverty: Lessons from South Korea. Popul Dev Rev 2021; 47(4): 965-96.
[http://dx.doi.org/10.1111/padr.12442]
[37]
Aryeetey GC, Jehu AC, Kotoh AM, et al. Community concepts of poverty: An application to premium exemptions in Ghana’s national health insurance scheme. Global Health 2013; 9(1): 12.
[http://dx.doi.org/10.1186/1744-8603-9-12] [PMID: 23497484]
[38]
Jehu AC, Aryeetey G, Spaan E, De Hoop T, Agyepong I, Baltussen R. Equity aspects of the national health insurance scheme in Ghana: Who is enrolling, who is not and why? Soc Sci Med 2011; 72(2): 157-6.
[http://dx.doi.org/10.1016/j.socscimed.2010.10.025]
[39]
Akazili J, Garshong B, Aikins M, Gyapong J, McIntyre D. Progressivity of health care financing and incidence of service benefits in Ghana. Health Policy Plan 2012; 27 (Suppl. 1): i13-22.
[http://dx.doi.org/10.1093/heapol/czs004] [PMID: 22388496]
[40]
Witter S, Garshong B. Something old or something new? Social health insurance in Ghana. BMC Int Health Hum Rights 2009; 9(1): 20.
[http://dx.doi.org/10.1186/1472-698X-9-20] [PMID: 19715583]
[41]
Liu M, Zhang Q, Lu M, Kwon CS, Quan H. Rural and urban disparity in health services utilization in China. Med Care 2007; 45(8): 767-74.
[http://dx.doi.org/10.1097/MLR.0b013e3180618b9a] [PMID: 17667311]
[42]
Song Y, Bian Y. Gender differences in the use of health care in China: Cross-sectional analysis. Int J Equity Health 2014; 13(1): 8.
[http://dx.doi.org/10.1186/1475-9276-13-8] [PMID: 24476343]
[43]
Zhu D, Guo N, Wang J, Nicholas S, Chen L. Socioeconomic inequalities of outpatient and inpatient service utilization in China: Personal and regional perspectives. Int J Equity Health 2017; 16(1): 210.
[http://dx.doi.org/10.1186/s12939-017-0706-8] [PMID: 29202843]
[44]
Mbalinda SN, Kaye DK, Nyashanu M, Kiwanuka N, Gaspar R. Using Andersen’s behavioral model of health care utilization to assess contraceptive use among sexually active perinatally HIV-infected adolescents in Uganda. Int J Reprod Med 2020; 2020: 8016483.
[http://dx.doi.org/10.1155/2020/8016483] [PMID: 33062664]
[45]
Hirshfield S, Downing MJ Jr, Horvath KJ, Swartz JA, Chiasson MA. Adapting Andersen’s behavioral model of health service use to examine risk factors for hypertension among U.S. MSM. Am J Men Health 2018; 12(4): 788-97.
[http://dx.doi.org/10.1177/1557988316644402] [PMID: 27099347]
[46]
Ali S, Cookson R, Dusheiko M. Addressing care-seeking as well as insurance-seeking selection biases in estimating the impact of health insurance on out-of-pocket expenditure. Soc Sci Med 2017; 177: 127-40.
[http://dx.doi.org/10.1016/j.socscimed.2016.11.005] [PMID: 28161670]
[47]
Wang Q, Zhang D, Hou Z. Insurance coverage and socioeconomic differences in patient choice between private and public health care providers in China. Soc Sci Med 2016; 170(170): 124-32.
[http://dx.doi.org/10.1016/j.socscimed.2016.10.016] [PMID: 27771545]
[48]
Zeng Y, Wan Y, Yuan Z, Fang Y. Healthcare-seeking behavior among Chinese older adults: Patterns and predictive factors. Int J Environ Res Public Health 2021; 18(6): 2969.
[http://dx.doi.org/10.3390/ijerph18062969] [PMID: 33799366]
[49]
Fernández NJA, Bonilla TLJ, Manrique EBS, Romero MM, Sosa OAL. Work status, retirement, and depression in older adults: An analysis of six countries based on the Study on Global Ageing and Adult Health (SAGE). SSM Popul Health 2018; 6: 1-8.
[http://dx.doi.org/10.1016/j.ssmph.2018.07.008] [PMID: 30101185]
[50]
Nutakor JA, Dai B, Zhou J, Larnyo E, Gavu AK, Asare MK. Association between socioeconomic status and cognitive functioning among older adults in Ghana. Int J Geriatr Psychiatry 2020; 36(5): 756-65.
[http://dx.doi.org/10.1002/gps.5475] [PMID: 33215724]
[51]
Larnyo E, Dai B, Nutakor JA, Ampon WS, Larnyo A, Appiah R. Examining the impact of socioeconomic status, demographic characteristics, lifestyle and other risk factors on adults’ cognitive functioning in developing countries: An analysis of five selected WHO SAGE Wave 1 Countries. Int J Equity Health 2022; 21(1): 31.
[http://dx.doi.org/10.1186/s12939-022-01622-7] [PMID: 35216605]
[52]
Chatterji S, Kowal P. WHO Study on Global AGEing and Adult Health (SAGE): Wave 1, 2007-2010 Individual Respondent Level Codebook* Ann Arbor, Michigan 48106Inter-university Consortium for Political and Social Research 2010. Available from: [https://www.icpsr.umich.edu/web/NACDA/studies/31381].
[53]
Aday LA, Andersen R. A framework for the study of access to medical care. Health Serv Res 1974; 9(3): 208-20.
[PMID: 4436074]
[54]
Andersen RM. Revisiting the behavioral model and access to medical care: Does it matter? J Health Soc Behav 1995; 36(1): 1-10.
[http://dx.doi.org/10.2307/2137284] [PMID: 7738325]
[55]
Andersen R, Newman JF. Societal and individual determinants of medical care utilization in the United States. Milbank Mem Fund Q Health Soc 1973; 51(1): 95-124.
[http://dx.doi.org/10.2307/3349613] [PMID: 4198894]
[56]
Mackian S, Bedri N, Lovel H. Up the garden path and over the edge: Where might health-seeking behaviour take us? Health Policy Plan 2004; 19(3): 137-46.
[http://dx.doi.org/10.1093/heapol/czh017] [PMID: 15070862]
[57]
Scheme NHI. Private Health Insurance Scheme in Ghana 2021. Available from: [http://www.nhis.gov.gh/phis.aspx]
[58]
Kusi A, Enemark U, Hansen KS, Asante FA. Refusal to enrol in Ghana’s National Health Insurance Scheme: Is affordability the problem? Int J Equity Health 2015; 14(1): 2.
[http://dx.doi.org/10.1186/s12939-014-0130-2] [PMID: 25595036]
[59]
Tolera H, Gebre ET, Kloos H. Using Andersen’s behavioral model of health care utilization in a decentralized program to examine the use of antenatal care in rural western Ethiopia. PLoS One 2020; 15(1): e0228282.
[http://dx.doi.org/10.1371/journal.pone.0228282] [PMID: 31986187]
[60]
Connolly D, Garvey J, McKee G. Factors associated with ADL/IADL disability in community dwelling older adults in the Irish longitudinal study on ageing (TILDA). Disabil Rehabil 2017; 39(8): 809-16.
[http://dx.doi.org/10.3109/09638288.2016.1161848] [PMID: 27045728]
[61]
LaPlante MP. The classic measure of disability in activities of daily living is biased by age but an expanded IADL/ADL measure is not. J Gerontol B Psychol Sci Soc Sci 2010; 65B(6): 720-32.
[http://dx.doi.org/10.1093/geronb/gbp129] [PMID: 20100786]
[62]
Feng Q, Zhen Z, Gu D, Wu B, Duncan PW, Purser JL. Trends in ADL and IADL disability in community-dwelling older adults in Shanghai, China, 1998-2008. J Gerontol B Psychol Sci Soc Sci 2013; 68(3): 476-85.
[http://dx.doi.org/10.1093/geronb/gbt012] [PMID: 23525547]
[63]
Sarvašová Z, Quiroga S, Suárez C, et al. Understanding the drivers for Natura 2000 payments in forests: A heckman selection analysis. J Nat Conserv 2018; 46: 28-37.
[http://dx.doi.org/10.1016/j.jnc.2018.07.003]
[64]
Heckman JJ. Sample selection bias as a specification error. Econometrica 1979; 47(1): 153-61.
[http://dx.doi.org/10.2307/1912352]
[65]
Byrd DT, Mizruchi MS. Bankers on the board and the debt ratio of firms. J Corp Finance 2005; 11(1-2): 129-73.
[http://dx.doi.org/10.1016/j.jcorpfin.2003.09.002]
[66]
Liu Y, Zhong L, Yuan S, Van De Klundert J. Why patients prefer high-level healthcare facilities: A qualitative study using focus groups in rural and urban China. BMJ Journals 2018; 3(5): e000854.
[http://dx.doi.org/10.1136/bmjgh-2018-000854]
[67]
Pariyo GW, Ekirapa KE, Okui O, et al. Changes in utilization of health services among poor and rural residents in Uganda: Are reforms benefitting the poor? Int J Equity Health 2009; 8: 39.
[http://dx.doi.org/10.1186/1475-9276-8-39]
[68]
Fernández OC, Hidalgo JDLT, Cerdá DR, et al. Factors associated with health care utilization by the elderly in a public health care system. Health Policy 2006; 75(2): 131-9.
[http://dx.doi.org/10.1016/j.healthpol.2005.02.005] [PMID: 15961181]
[69]
Sikka N, DeLong A, Kamano J, et al. Sex differences in health status, healthcare utilization, and costs among individuals with elevated blood pressure: the LARK study from Western Kenya. BMC Public Health 2021; 21(1): 948.
[http://dx.doi.org/10.1186/s12889-021-10995-3] [PMID: 34011345]
[70]
Fylkesnes K. Determinants of health care utilization-visits and referrals. Scand J Soc Med 1993; 21(1): 40-50.
[http://dx.doi.org/10.1177/140349489302100107]
[71]
Balkrishnan R, Anderson RT, Bowton D. Self-reported health status predictors of healthcare services utilization and charges in elderly asthmatic patients. J Asthma 2000; 37(5): 415-23.
[http://dx.doi.org/10.3109/02770900009055467] [PMID: 10983619]
[72]
Anson O, Paran E, Neumann L, Chernichovsky D. Gender differences in health perceptions and their predictors. Soc Sci Med 1993; 36(4): 419-27.
[http://dx.doi.org/10.1016/0277-9536(93)90404-R] [PMID: 8434267]
[73]
Roy K, Chaudhuri A. Influence of socioeconomic status, wealth and financial empowerment on gender differences in health and healthcare utilization in later life: Evidence from India. Soc Sci Med 2008; 66(9): 1951-62.
[http://dx.doi.org/10.1016/j.socscimed.2008.01.015] [PMID: 18313185]
[74]
Wong R, Díaz JJ. Health care utilization among older mexicans: Health and socioeconomic inequalities. Salud Publica Mex 2007; 49 (Suppl. 4): S505-14.
[http://dx.doi.org/10.1590/S0036-36342007001000010] [PMID: 17724524]
[75]
Wang Z, Li X, Chen M, Si L. Social health insurance, healthcare utilization, and costs in middle-aged and elderly community-dwelling adults in China. Int J Equity Health 2018; 17(1): 17.
[http://dx.doi.org/10.1186/s12939-018-0733-0] [PMID: 29394933]
[76]
Andersen R, Chen M, Aday LA, Cornelius L. Health status and medical care utilization. Health Aff 1987; 6(1): 136-56.
[http://dx.doi.org/10.1377/hlthaff.6.1.136] [PMID: 3583214]
[77]
Mielck A, Kiess R, Von Dem KO, Stirbu I, Kunst AE. Association between forgone care and household income among the elderly in five Western European countries-analyses based on survey data from the SHARE-study. BMC Health Services Research 2009; 9: 52.
[http://dx.doi.org/10.1186/1472-6963-9-52]
[78]
Meyer SB, Luong TCN, Mamerow L, Ward PR. Inequities in access to healthcare: Analysis of national survey data across six Asia-Pacific countries. BMC Health Serv Res 2013; 13(1): 238.
[http://dx.doi.org/10.1186/1472-6963-13-238] [PMID: 23816181]
[79]
Spaan E, Mathijssen J, Tromp N, McBain F, Ten HA, Baltussen R. The impact of health insurance in Africa and Asia: A systematic review. Bull World Health Organ 2012; 90(9): 685-92.
[http://dx.doi.org/10.2471/BLT.12.102301] [PMID: 22984313]
[80]
Blanchet NJ, Fink G, Osei-Akoto I. The effect of Ghana’s national health insurance scheme on health care utilisation. Ghana Med J 2012; 46(2): 76-84. [PubMed].
[PMID: 22942455]
[81]
Organization WH. Health systems financing: The path to universal coverage Geneva: World Health Organization 2010. Available from : [https://apps.who.int/iris/handle/10665/44371]
[82]
Monheit AC, Grafova IB. Education and family health care spending. South Econ J 2018; 85(1): 71-92.
[http://dx.doi.org/10.1002/soej.12300]
[83]
Larnyo E, Dai B, Larnyo A, et al. Impact of actual use behavior of healthcare wearable devices on quality of life: A cross-sectional survey of people with dementia and their caregivers in Ghana. Health care 2022; 10(2): 275.
[http://dx.doi.org/10.3390/healthcare10020275] [PMID: 35206890]
[84]
Hu A. Providing more but receiving less: Daughters in intergenerational exchange in mainland china. J Marriage Fam 2017; 79(3): 739-57.
[http://dx.doi.org/10.1111/jomf.12391]
[85]
Chen F, Liu G. The health implications of grandparents caring for grandchildren in China. J Gerontol B Psychol Sci Soc Sci 2012; 67B(1): 99-112.
[http://dx.doi.org/10.1093/geronb/gbr132] [PMID: 22156630]
[86]
Rutgers U. Kids health outcomes have more to do with parents level of education than income. ScienceNews 2018. Available from: www.sciencedaily.com/releases/2018/10/1810181-25136.htm
[87]
Riumallo HC, Aguila E. The effect of old-age pensions on health care utilization patterns and insurance uptake in Mexico. BMJ Glob Health 2019; 4(6): e001771.
[http://dx.doi.org/10.1136/bmjgh-2019-001771] [PMID: 31798987]
[88]
Kim J, Frank-Miller E. Poverty, health insurance status, and health service utilization among the elderly. J Poverty 2015; 19(4): 424-44.
[http://dx.doi.org/10.1080/10875549.2015.1015070]
[89]
Chatterjee C, Nayak NC, Mahakud J, Chatterjee SC. Factors affecting the choice of health care utilisation between private and public services among the elderly population in India. Int J Health Plann Manage 2019; 34(1): e736-51.
[http://dx.doi.org/10.1002/hpm.2686] [PMID: 30378705]
[90]
Peltzer K, Phaswana MN. Patient experiences and health system responsiveness among older adults in South Africa. Glob Health Action 2012; 5(1): 18545.
[http://dx.doi.org/10.3402/gha.v5i0.18545] [PMID: 23195515]
[91]
Basu S, Andrews J, Kishore S, Panjabi R, Stuckler D. Comparative performance of private and public healthcare systems in low- and middle-income countries: a systematic review. PLoS Med 2012; 9(6): e1001244.
[http://dx.doi.org/10.1371/journal.pmed.1001244] [PMID: 22723748]

Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy