scholarly journals Can care staff accurately assess health-related quality of life of care home residents? A secondary analysis of data from the OPERA trial

BMJ Open ◽  
2017 ◽  
Vol 7 (4) ◽  
pp. e012779 ◽  
Author(s):  
Ben Parker ◽  
Stavros Petrou ◽  
Martin Underwood ◽  
Jason Madan
Keyword(s):  
Quality Of Life ◽  
Care Home ◽  
Secondary Analysis ◽  
Care Staff ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

scholarly journals Inter-rater reliability of care home staff’s proxy judgements with residents’ assessments of their own health-related quality of life: an analysis of the PATCH trial EQ-5D data

2021 ◽  
Author(s):  
Charlotte Kelly ◽  
Claire Hulme ◽  
Liz Graham ◽  
Alison Ellwood ◽  
Ismail Patel ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Care Home ◽  
Care Staff ◽  
Health Related Quality ◽  
Rater Reliability ◽  
Related Quality ◽  
Patch Trial ◽  
Health Related ◽  
Level Of Agreement

Abstract Objectives to compare care staff proxies with care home residents’ self-assessment of their health-related quality of life (HRQoL). Methods we assessed the degree of inter-rater reliability between residents and care staff proxies for the EQ-5D-5L index, domains and EQ Visual Analogue Scale at baseline, 3 months and 6 months, collected as part of the PATCH trial. We calculated kappa scores. Interpreted as <0 no agreement, 0–0.2 slight, 0.21–0.60 fair to moderate and >0.6 substantial to almost perfect agreement. Qualitative interviews with care staff and researchers explored the challenges of completing these questions. Results over 50% of the HRQoL data from residents was missing at baseline compared with a 100% completion rate by care staff proxies. A fair-to-moderate level of agreement was found for the EQ-5D-5L index. A higher level of agreement was achieved for the EQ-5D-5L domains of mobility and pain. Resident ‘non-completers’ were more likely to: be older, have stayed a longer duration in the care home, have lower Barthel Index and Physical Activity and Mobility in Residential Care (PAM-RC) scores, a greater number of co-morbidities and have joined the trial through consultee agreement. Interviews with staff and researchers indicated that it was easier to rate residents’ mobility levels than other domains, but in general it was difficult to obtain data from residents or to make an accurate proxy judgement for those with dementia. Conclusions whilst assessing HRQoL by care staff proxy completion provides a more complete dataset, uncertainty remains as to how representative these values are for different groups of residents within care homes.

scholarly journals Associations between markers of health and playing golf in an Australian population

2019 ◽  
Vol 5 (1) ◽  
pp. e000517 ◽  
Author(s):  
Brad Stenner ◽  
Amber D Mosewich ◽  
Jonathan D Buckley ◽  
Elizabeth S Buckley
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Secondary Analysis ◽  
Health Related Quality ◽  
Australian Population ◽  
Physically Active ◽  
Related Quality ◽  
Health Related ◽  
Activity Survey

ObjectiveTo investigate associations between markers of health and playing golf in an Australian population.MethodsSecondary analysis of data from the Australian National Nutrition and Physical Activity Survey to compare selected health outcomes between golfers (n=128) and non-golfers (n=4999).ResultsGolfers were older than non-golfers (mean±SD 57.7±14.2 years, 48.5±17.6 years, p<0.05). A higher proportion of golfers were overweight or obese compared with non-golfers (76% vs 64%, p<0.05), and golfers were more likely to have been diagnosed with ischaemic heart disease (IHD) at some time in their life (OR 2.8, 95% CI 1.0 to 7.8). However, neither the risk of being overweight or obese (OR 1.4, 95% CI 0.9 to 2.2) or having been diagnosed with IHD (OR 2.1, 95% CI 0.8 to 5.8), were significant after controlling for age. Golfers were more physically active than non-golfers (8870±3810 steps/day vs 7320±3640 steps/day, p<0.05) and more likely to report high health-related quality of life (HRQoL) than non-golfers (OR 1.8; 95% CI 1.0 to 3.3), but not after adjusting for physical activity (OR 1.4, 95% CI 0.9 to 2.2).ConclusionCompared with non-golfers, golfers were more likely to be overweight or obese and to have been diagnosed with IHD, but not after adjusting for golfers being older. Golfers were more likely to report a higher HRQoL, but not after adjusting for golfers being more physically active. There may be an association between golfers being more physically active than non-golfers and reporting a higher HRQoL.

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