scholarly journals Health Service Utilization by Elderly Population in Urban Nepal: A Cross-Sectional Study

Author(s):  
L.B. Gurung ◽  
G. Paudel ◽  
U.N. Yadav

Background The elderly population is in increasing trend all over the world. Elderly people experience many physiological, biological and psychological changes. The general objective of the study is to assess the utilization of health care services among the elderly population of Butwal sub-metropolitan city.Methods A quantitative descriptive-cross sectional study, with a total number of 212 elderly people residing in Butwal sub-metropolitan city, was selected for the study purpose. The study period was from March to October 2015. The samples were randomly selected from the sampling frame of 3 different wards of Butwal sub-metropolitan city. Information was collected using an interviewer administered semi-structured questionnaire. Chi-square test was used to identify the factors associated with the utilization of health care services among elderly population.Results Our findings reveal that 84.4% of elderly people visited to the health facility during past 1 year. There were more females (50.9%) than males (49.1%). Majority of elderly people were diagnosed with one of the chronic ailment; were under regular medication. More than 4/5th (84.9%) of older adults rated “satisfactory” to their health condition. Monthly family income, chronic disease, elderly on medication and self-rated health status are statistically significant with utilization of health care services at 95% level of confidence.Conclusions The finding suggests that monthly family income, chronic disease, elderly on medication and self rated health are strongly associated with utilization of health care services by elderly people. Thus the study suggests further interventions to improve the health care service utilization by elderly people.Journal of Manmohan Memorial Institute of Health Sciences Vol. 2 2016 p.27-36

2020 ◽  
Author(s):  
Paul Joseph Amani ◽  
Malale Tungu ◽  
Anna-Karin Hurtig ◽  
Angwara Denis Kiwara ◽  
Gasto Frumence ◽  
...  

Abstract BackgroundResponsiveness has become an important health system performance indicator in evaluating the ability of health care systems to meet patients’ expectations. However, its measurement in sub-Saharan Africa remains scarce. This study aimed to assess the responsiveness of the health care services among the insured and non-insured elderly in Tanzania and to explore the association of health insurance (HI) with responsiveness in this population. MethodsA community-based cross-sectional study was conducted in 2017 where a pre-tested household survey, administered to the elderly (60 + years) living in Igunga and Nzega districts, was applied. Participants with and without health insurance who attended outpatient and inpatient health care services in the past three and 12 months were selected. Responsiveness was measured based on the short version of the World Health Organization (WHO) multi-country responsiveness survey study, which included the dimensions of quality of basic amenities, choice, confidentiality, autonomy, communication and prompt attention. Quantile regression was used to assess the specific association of the responsiveness index with health insurance adjusted for sociodemographic factors.ResultsA total of 1453 and 744 elderly, of whom 50.1% and 63% had health insurance, used outpatient and inpatient health services, respectively. All domains were rated relatively highly but the uninsured elderly reported better responsiveness in all domains of outpatient and inpatient care. Waiting time was the dimension that performed worst. Possession of health insurance was negatively associated with responsiveness in outpatient (−1; 95% CI: −1.45, −0.45) and inpatient (−2; 95% CI: −2.69, −1.30) care. Conclusion The uninsured elderly reported better responsiveness than the insured elderly in both outpatient and inpatient care. Special attention should be paid to those dimensions, like waiting time, which ranked poorly. Further research is necessary to reveal the reasons for the lower responsiveness noted among insured elderly. A continuous monitoring of health care system responsiveness is recommended.


2020 ◽  
Author(s):  
Paul Joseph Amani ◽  
Malale Tungu ◽  
Anna-Karin Hurtig ◽  
Angwara Denis Kiwara ◽  
Gasto Frumence ◽  
...  

Abstract Introduction Responsiveness has become an important health systems performance indicator in evaluating the ability of the health care systems to meet the expectations of the patients. However, its measurement in sub-Saharan Africa remains scarce. This study aimed to assess the responsiveness of the health care services among the insured and non-insured elderly in Tanzania, in order to contribute with relevant knowledge to improve the performance of the health care system among the elderly in the country. Methods A community-based cross-sectional study was conducted in 2017 where a pre-tested household survey administered to elderly (60 +) living in Igunga and Nzega districts was applied. Participants with and without health insurance who attended outpatient and inpatient health care services in the past three and twelve months were selected. Responsiveness was measured based on the WHO-SAGE questionnaire that included the dimensions of quality of basic amenities, choice, confidentiality, autonomy, communication and prompt attention. Quantile regression was used to assess the specific association of the responsiveness index with health insurance and socio-demographic factors.Results A total of 1453 and 744 elderly, of whom 50.1% and 63% had health insurance, used the outpatient and inpatient health services respectively. All the different domains were rated relatively high but the uninsured elderly reported better responsiveness in all domains of outpatient and inpatient care. Waiting time was the dimension that performed worst. Possession of health insurance was negatively associated with responsiveness in outpatient (-1; 95% CI: -1.45, -0.45) and inpatient (-2; 95% CI: -2.69, -1.30) care. Conclusion The uninsured elderly reported better responsiveness than the insured elderly in both outpatient and inpatient care. Special attention should be paid to those dimensions, like waiting time, which ranked low. Further research is necessary to reveal the reasons for the lower responsiveness among insured elderly. A continuous monitoring of the health care system responsiveness is recommended.


2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Paul Joseph Amani ◽  
Malale Tungu ◽  
Anna-Karin Hurtig ◽  
Angwara Denis Kiwara ◽  
Gasto Frumence ◽  
...  

Abstract Background Responsiveness has become an important health system performance indicator in evaluating the ability of health care systems to meet patients’ expectations. However, its measurement in sub-Saharan Africa remains scarce. This study aimed to assess the responsiveness of the health care services among the insured and non-insured elderly in Tanzania and to explore the association of health insurance (HI) with responsiveness in this population. Methods A community-based cross-sectional study was conducted in 2017 where a pre-tested household survey, administered to the elderly (60 + years) living in Igunga and Nzega districts, was applied. Participants with and without health insurance who attended outpatient and inpatient health care services in the past three and 12 months were selected. Responsiveness was measured based on the short version of the World Health Organization (WHO) multi-country responsiveness survey study, which included the dimensions of quality of basic amenities, choice, confidentiality, autonomy, communication and prompt attention. Quantile regression was used to assess the specific association of the responsiveness index with health insurance adjusted for sociodemographic factors. Results A total of 1453 and 744 elderly, of whom 50.1 and 63% had health insurance, used outpatient and inpatient health services, respectively. All domains were rated relatively highly but the uninsured elderly reported better responsiveness in all domains of outpatient and inpatient care. Waiting time was the dimension that performed worst. Possession of health insurance was negatively associated with responsiveness in outpatient (− 1; 95% CI: − 1.45, − 0.45) and inpatient (− 2; 95% CI: − 2.69, − 1.30) care. Conclusion The uninsured elderly reported better responsiveness than the insured elderly in both outpatient and inpatient care. Special attention should be paid to those dimensions, like waiting time, which ranked poorly. Further research is necessary to reveal the reasons for the lower responsiveness noted among insured elderly. A continuous monitoring of health care system responsiveness is recommended.


2020 ◽  
Vol 13 (1) ◽  
pp. 1841962
Author(s):  
Malale Tungu ◽  
Paul Joseph Amani ◽  
Anna-Karin Hurtig ◽  
Angwara Dennis Kiwara ◽  
Mughwira Mwangu ◽  
...  

2004 ◽  
Vol 10 (3) ◽  
pp. 365-371
Author(s):  
A. A. Mahfouz ◽  
A. I. Al Sharif ◽  
M. N. El Gamal ◽  
A. H. Kisha

Use of primary health care [PHC] services and satisfaction among elderly people [60 + years] in Asir was studied in 26 PHC centers. They visited PHC centers significantly less often than younger adults but they were referred significantly more often to secondary and tertiary care and for more laboratory tests. A r and om sample of 253 elderly people attending the centers was interviewed about accessibility, continuity, humaneness, informativeness and thoroughness of care. Overall, 79.0% were satisfied with the services provided. The leading 3 items of dissatisfaction were:not enough audiovisual means for health education [65.1%], long time spent in the centre [46.4%], and not enough specialty clinics [42.5%]


Author(s):  
Ernawaty ◽  
Kendra Wardhani K ◽  
Stefanus Supriyanto ◽  
Nuzulul Kusuma Putri ◽  
Yeni Rahmah Husniyawati

Background: Health care utilization is one of the key indicators in measuring performance of health care services. Strong brand equity suggests positive correlation with great attraction for consumers to use a product. Design and Methods: A cross-sectional study was conducted to identify the effects of brand equity to health care utilization. 381 students were selected by simple random sampling. Multiple logistic regression tests were used to analyze the influence between variables. Results: Findings showed that there was an influence between brand equity and health care utilization (P=0.001). In the three attributes, brand equity was known to have an influence to the utilization of health care. The highest influence of the three attributes was brand association (Exp (B) = 2.501). Conclusions: It can be concluded that brand equity affects patient visits to AHCC showing that the brand equity significantly influence patient visits. Promotion to create familiarity and good impression was required to enhance brand equity and increase health care utilization.


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