Literature DB >> 11555034

The relationships between health beliefs and utilization of free health examinations in older people living in a community setting in Taiwan.

H Y Hsu1, R Gallinagh.   

Abstract

OBJECTIVE: To examine the influence of demographics and the health beliefs of older people on uptake of a free annual health examination administered by the Twu-Tyan Bureau of Sanitation (TTBS), Pingtung, Taiwan.
BACKGROUND: The free health examination is a preventive intervention with potential to detect illness. This programme for older people aged 65 years and over, has been available free in some areas since 1980.
METHOD: A stratified random systematic sample of 200 men and women over 65 years was selected and consisted of 100 individuals who had undertaken the free health examination and 100 who had not. A 17-item Health Belief Scale (HBS) was used to glean information on their health beliefs and uptake of a free health examination.
FINDINGS: It was found that those with higher education and higher economic status had a greater uptake. Family support was also found to influence take-up. A statistically significant difference was found between the health beliefs of users and nonusers. Users perceived a higher level of seriousness and susceptibility to ill health than nonusers.
CONCLUSIONS: A number of practical pointers are given that might help clinicians increase uptake rates in such health promotion programmes. These encompass understanding the influence of key demographical and social factors, perceived susceptibility, severity and benefits of the intervention, barriers to attendance and self-efficacy.

Entities:  

Mesh:

Year:  2001        PMID: 11555034     DOI: 10.1046/j.1365-2648.2001.01924.x

Source DB:  PubMed          Journal:  J Adv Nurs        ISSN: 0309-2402            Impact factor:   3.187


  8 in total

Review 1.  What do we know about who does and does not attend general health checks? Findings from a narrative scoping review.

Authors:  Ruth Dryden; Brian Williams; Colin McCowan; Markus Themessl-Huber
Journal:  BMC Public Health       Date:  2012-08-31       Impact factor: 3.295

2.  Determinants of health check attendance in adults: findings from the cross-sectional German Health Update (GEDA) study.

Authors:  Jens Hoebel; Anne Starker; Susanne Jordan; Matthias Richter; Thomas Lampert
Journal:  BMC Public Health       Date:  2014-09-04       Impact factor: 3.295

3.  What are the determinants for individuals to undergo cardiovascular disease health checks? A cross sectional survey.

Authors:  Ai Theng Cheong; Ee Ming Khoo; Su May Liew; Karuthan Chinna
Journal:  PLoS One       Date:  2018-08-09       Impact factor: 3.240

4.  Development of a questionnaire to evaluate patients' awareness of cardiovascular disease risk in England's National Health Service Health Check preventive cardiovascular programme.

Authors:  Maria Woringer; Jessica Jones Nielsen; Lara Zibarras; Julie Evason; Angelos P Kassianos; Matthew Harris; Azeem Majeed; Michael Soljak
Journal:  BMJ Open       Date:  2017-09-25       Impact factor: 2.692

5.  Pay-for-performance programmes reduce stroke risks in patients with type 2 diabetes: a national cohort study.

Authors:  Chien-Wen Chou; Pei-Tseng Kung; Wen-Yu Chou; Wen-Chen Tsai
Journal:  BMJ Open       Date:  2019-10-16       Impact factor: 2.692

6.  Utilisation of preventative health check-ups in the UK: findings from individual-level repeated cross-sectional data from 1992 to 2008.

Authors:  Alexander Labeit; Frank Peinemann; Richard Baker
Journal:  BMJ Open       Date:  2013-12-23       Impact factor: 2.692

7.  NHS health checks: a cross- sectional observational study on equity of uptake and outcomes.

Authors:  N Coghill; L Garside; A A Montgomery; G Feder; J Horwood
Journal:  BMC Health Serv Res       Date:  2018-04-03       Impact factor: 2.655

8.  The knowledge level and precautionary measures taken by older adults during the SARS outbreak in Hong Kong.

Authors:  Winnie K W So; Sophia S C Chan; Angel C K Lee; Agnes F Y Tiwari
Journal:  Int J Nurs Stud       Date:  2004-11       Impact factor: 5.837

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.