scholarly journals Willingness to Pay for Health Insurance among Urban Poor: An Evidence from Urban Primary Health Care Project in Bangladesh

2020 ◽  
Vol 19 (3) ◽  
pp. 433-443
Author(s):  
Md Mizanur Rahman ◽  
Sharmin Mizan ◽  
Razitasham binti Safii ◽  
Sk Akhtar Ahmad
Keyword(s):  
Quality Of Life ◽  
Health Care ◽  
Primary Health Care ◽  
Health Insurance ◽  
Willingness To Pay ◽  
Urban Poor ◽  
Link Function ◽  
Policy Makers ◽  
Primary Health

Background and Objective: With the growing concern over treatment cost in health care and the desire to improve the effectiveness and equality of healthcare financing and the quality of the care, policy-makers have turned their attention to health insurance, especially, for the poor. This study attempted to determine the willingness to pay for health insurance among the mothers who utilized the urban primary health care clinic (UPHCC) for maternal and child health. Methods: This cross-sectional study was carried out in the working areas of UPHC Project in Bangladesh following two-stage cluster sampling technique to select the participants. Data were collected from 3949 women aged 15-49 years having at least one child aged two years or less. The data on willingness to pay for health insurance was collected using the contingent valuation method with bidding style. Data analysis was done by SPSS 22.0 version. Two generalized linear models with binary logit link function and normal identity link function were developed to identify the potential predictors for willingness to pay for monthly health insurance. Results: Three-fifths (67.5%) of the respondents agreed to pay for monthly health insurance. The median monthly premium for health insurance was BDT 15.5. Multivariate analysis revealed that utilization of UPHC clinic, quality of life, family size, age, wealth index, level of education, husband and respondent’s occupation, ownership status of the house, religion and family income appeared to be potential predictors for health insurance (p<0.05). However, utilization of UPHC clinic and quality of life appeared to be important predictors across all the models. Conclusion: A large proportion of the community agreed to pay premium for health insurance. Based on the finding of the current study the policy makers might consider introducing a scheme for health insurance especially among the urban poor. Bangladesh Journal of Medical Science Vol.19(3) 2020 p.433-443

Quality of life and adherence to mediterranean diet among type 2 diabetes mellitus patients of a primary health care clinic in Hebron city, Palestine

2021 ◽  
pp. 1-10
Author(s):  
Manal Badrasawi ◽  
May Hamdan ◽  
Mohammad Al Tamimi
Keyword(s):  
Quality Of Life ◽  
Diabetes Mellitus ◽  
Health Care ◽  
Primary Health Care ◽  
Mediterranean Diet ◽  
Well Being ◽  
Care Clinic ◽  
Primary Health Care Clinic ◽  
Primary Health

BACKGROUND: Diabetes mellitus (DM) is a lifelong metabolic disease with a high rate of mortality and morbidity. Uncontrolled and untreated diabetes results in serious complications that subsequently cause patients’ quality of life (QoL) to deteriorate. Adherence to Mediterranean diet (MD) may relieve the complications of diabetes, thereby improving the quality of life for these patients. OBJECTIVE: The aim of this study was to assess the QoL of DM patients who adhered to MD. METHODS: In this cross-sectional study, we examined the QoL and MD data of 106 DM II patients being treated at a primary health care clinic in Hebron. We used the SF-36 questionnaire to measure the patients’ QoL and the MEDAS tool to assess their MD adherence. We also recorded their anthropometric measurements, abdominal obesity, lifestyle habits and blood biochemical results. RESULTS: The sample comprised male and female DM II patients between the ages of 35 and 72, with their mean age being 55.8±10.24. Patients’ QoL scores showed a significant relationship with three BMI categories, i.e., total QoL score, physical function, and pain domains (p <  0.05). In terms of diet, high adherence to MD had a positive impact on all domains and on patients’ total QoL with significant differences in physical functioning, emotional well-being, social functioning and pain domains. CONCLUSION: Patients’ QoL domains were relatively low and highly affected by DM II. Patients with greater MD adherence reported higher scores in all QoL domains. Significantly higher scores were noted for the physical, social and pain domains. Hence, MD is a recommended dietary pattern for DM II patients to achieve a better QoL.

scholarly journals Comorbid mental disorders and quality of life of people with epilepsy attending primary health care clinics in rural Ethiopia

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0238137
Author(s):  
Ruth Tsigebrhan ◽  
Abebaw Fekadu ◽  
Girmay Medhin ◽  
Charles R. Newton ◽  
Martin J. Prince ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Health Care ◽  
Primary Health Care ◽  
Mental Disorders ◽  
Seizure Frequency ◽  
Functional Disability ◽  
Social Outcomes ◽  
Primary Health ◽  
Comorbid Mental Disorders

Background Evidence from high-income countries demonstrates that co-morbid mental disorders in people with epilepsy adversely affect clinical and social outcomes. However, evidence from low-income countries is lacking. The objective of this study was to measure the association between co-morbid mental disorders and quality of life and functioning in people with epilepsy. Methods A facility-based, community ascertained cross-sectional survey was carried out in selected districts of the Gurage Zone, Southern Ethiopia. Participants were identified in the community and referred to primary health care (PHC) clinics. Those diagnosed by PHC workers were recruited. Co-morbid mental disorders were measured using a standardised, semi-structured clinical interview administered by mental health professionals. The main outcome, quality of life, was measured using the Quality of Life in Epilepsy questionnaire (QOLIE-10p). The secondary outcome, functional disability, was assessed using the 12-item World Health Organization Disability Assessment Schedule (WHODAS-2). Results The prevalence of comorbid mental disorders was 13.9%. Comorbid mental disorders were associated with poorer quality of life (Adjusted (Adj.) β -13.27; 95% CI -23.28 to-3.26) and greater disability (multiplier of WHODAS-2 score 1.62; 95% CI 1.05, 2.50) after adjusting for hypothesised confounding factors. Low or very low relative wealth (Adj. β = -12.57, 95% CI -19.94 to-5.20), higher seizure frequency (Adj.β coef. = -1.92, 95% CI -2.83 to -1.02), and poor to intermediate social support (Adj. β coef. = -9.66, 95% CI -16.51 to -2.81) were associated independently with decreased quality of life. Higher seizure frequency (multiplier of WHODAS-2 score 1.11; 95% CI 1.04, 1.19) was associated independently with functional disability. Conclusion Co-morbid mental disorders were associated with poorer quality of life and impairment, independent of level of seizure control. Integrated and comprehensive psychosocial care is required for better health and social outcomes of people with epilepsy.

scholarly journals VES-13 and WHOQOL-bref cutoff points to detect quality of life in older adults in primary health care

2019 ◽  
Vol 53 ◽  
pp. 26 ◽  
Author(s):  
Samira Monteiro Silva ◽  
Alfredo Nicodemos Cruz Santana ◽  
Nayhane Nayara Barbosa da Silva ◽  
Maria Rita Carvalho Garbi Novaes
Keyword(s):  
Quality Of Life ◽  
Health Care ◽  
Primary Health Care ◽  
Negative Predictive Value ◽  
Roc Curve ◽  
Predictive Value ◽  
Older Individuals ◽  
Primary Health ◽  
Cutoff Points

OBJECTIVE: To determine Vulnerable Elders Survey (VES-13) and WHOQOL-bref cutoff points to detect poor quality of life (QoL) in older individuals. METHODS: This is a cross-sectional study, performed in all primary health care units in Samambaia, DF, Brazil. The data were collected from August 2016 to May 2017. The sample size of 466 older individuals treated in primary health care was obtained considering a 5% margin of error, 95% confidence level, 50% prevalence, and 20% possible losses, in a population of 13,259 older individuals. The subjects answered the VES-13 and WHOQOL-bref questionnaires. They were divided into 3 subgroups: poorQoL (older individuals with self-reported very poor or poor QoL AND very dissatisfied or dissatisfied with their health), goodQoL (very good or good QoL AND very satisfied or satisfied with Health) and indeterminateQoL (NOT belonging to poorQoL or goodQoL subgroups). A receiver-operating characteristic (ROC) curve was performed with poorQoL (case) versus goodQoL (control) to determine the cutoff score in VES-13 and WHOQOLbref. A diagnostic test using these cutoffs was carried out in all older individuals (n = 466). RESULTS: The VES-13 and WHOQOL-bref cutoff points to detect poorQoL were ≥ 2 and < 60, respectively. The area under ROC curve of VES-13 and WHOQOL-bref was 0.741 (CI95% 0.659- 0.823; p < 0.001) and 0.934 (CI95% 0.881-0.987; p < 0.001), respectively. In diagnostic tests, VES-13 showed 84% sensitivity and 98.2% negative predictive value, and WHOQOL-bref, 88% sensitivity and 99% negative predictive value. CONCLUSIONS: VES-13 score ≥ 2 and WHOQOL-bref score < 60 adequately detected poorQoL in patients treated in primary health care. Our data suggest that older individuals with these scores require special treatment such as geriatrics collaborative care to improve this scenario, considering QoL impact on mortality.

Sign in / Sign up

Export Citation Format

Share Document