The impact of SLE on health-related quality of life assessed with SF-36: a systemic review and meta-analysis

Lupus ◽  
2019 ◽  
Vol 28 (3) ◽  
pp. 371-382 ◽  
Author(s):  
M Gu ◽  
Q Cheng ◽  
X Wang ◽  
F Yuan ◽  
NB Sam ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Meta Analysis ◽  
Random Effect ◽  
Systemic Review ◽  
Health Related Quality ◽  
Sf 36 ◽  
Related Quality ◽  
Health Related ◽  
The Impact

Objective To evaluate the impact of systemic lupus erythematosus (SLE) on health-related quality of life (HRQoL) assessed with SF-36 and explore factors associated with HRQoL in SLE patients. Methods A random-effect meta-analysis was performed to calculate extracted data. Sensitivity and subgroup analyses were performed to distinguish sources of heterogeneity. Results A total of 36 articles were finally included in this meta-analysis, including 6510 patients. The pooled mean scores of SF-36 physical component summary and mental component summary were 46.10 (95% confidence interval (CI): 43.09–49.10) and 50.37 (95% CI: 47.78–52.87), respectively. Spearman's correlation analysis found that mean age, proportion of female participants, and publication decades were negatively associated with some of the SF-36 domains. Sample size and SLEDAI were positively associated with some of the SF-36 domains. Patients with SLE have lower HRQoL in comparison to the general population. Conclusions SLE has a significant impact on HRQoL, which proves that the necessity of improving HRQoL in SLE patients cannot be ignored. Measuring HRQoL should be considered as an indispensable part of the overall evaluation of health conditions of SLE patients.

scholarly journals Impact of malnutrition on health-related quality of life in persons receiving dialysis: a prospective study

2021 ◽  
pp. 1-24
Author(s):  
Daniela Viramontes-Hörner ◽  
Zoe Pittman ◽  
Nicholas M Selby ◽  
Maarten W Taal
Keyword(s):  
Quality Of Life ◽  
Prospective Study ◽  
Health Related Quality ◽  
Poor Hrqol ◽  
Sf 36 ◽  
Related Quality ◽  
Health Related ◽  
The Impact ◽  
Over Time

Abstract Health-related quality of life (HRQoL) is severely impaired in persons receiving dialysis. Malnutrition has been associated with some measures of poor HRQoL in cross-sectional analyses in dialysis populations, but no studies have assessed the impact of malnutrition and dietary intake on change in multiple measures of HRQoL over time. We investigated the most important determinants of poor HRQoL and the predictors of change in HRQoL over time using several measures of HRQoL. We enrolled 119 haemodialysis and 31 peritoneal dialysis patients in this prospective study. Nutritional assessments (Subjective Global Assessment [SGA], anthropometry and 24-hour dietary recalls) and HRQoL questionnaires (Short Form-36 [SF-36] mental [MCS] and physical component scores [PCS] and European QoL-5 Dimensions [EQ5D] health state [HSS] and visual analogue scores [VAS]) were performed at baseline, 6 and 12 months. Mean age was 64(14) years. Malnutrition was present in 37% of the population. At baseline, malnutrition assessed by SGA was the only factor independently (and negatively) associated with all four measures of HRQoL. No single factor was independently associated with decrease in all measures of HRQoL over 1 year. However, prevalence/development of malnutrition over one year was an independent predictor of 1-year decrease in EQ5D HSS and 1-year decrease in fat intake independently predicted the 1-year decline in SF-36 MCS and PCS, and EQ5D VAS. These findings strengthen the importance of monitoring for malnutrition and providing nutritional advice to all persons on dialysis. Future studies are needed to evaluate the impact of nutritional interventions on HRQoL and other long-term outcomes.

scholarly journals Reduced Health-Related Quality of Life in Body Constitutions of Yin-Xu, and Yang-Xu, Stasis in Patients with Type 2 Diabetes: Taichung Diabetic Body Constitution Study

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Chia-I Tsai ◽  
Yi-Chang Su ◽  
Shih-Yi Lin ◽  
I-Te Lee ◽  
Cheng-Hung Lee ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Type 2 Diabetes ◽  
Health Related Quality ◽  
Body Constitution ◽  
Sf 36 ◽  
Related Quality ◽  
Health Related ◽  
The Impact

Aim. To evaluate how health-related quality of life (HRQOL) and traditional Chinese medicine (TCM) constitutions of Yin-Xu, Yang-Xu, and Stasis are related in type 2 diabetes patients. Method. Seven hundred and five subjects were recruited in 2010 for this study from a Diabetes Shared Care Network in Taiwan. Generic and disease-specific HRQOL were assessed by the short form 36 (SF-36) and the diabetes impact measurement scale (DIMS). Constitutions of Yin-Xu, Yang-Xu, and Stasis were then assessed by the body constitution questionnaire (BCQ), a questionnaire consisting of 44 items that evaluate the physiological state based on subjective symptoms and signs. Results. Estimated effects of the Ying-Xu and Stasis on all scales of the SF-36 were significantly negative, while estimated effects of the Yang-Xu on all scales (except for SF, RE, MH, and MCS) were significantly negative. For DIMS, the estimated effects of the Ying-Xu and Stasis on all scales were significantly negative except for Stasis on well-being, while Yang-Xu has a significantly negative effect only on symptoms. Conclusions. This study demonstrates that TCM constitutions of Yin-Xu, Yang-Xu, and Stasis are closely related to a reduction in HRQOL. These findings support the need for further research into the impact of intervention for TCM constitutions on HRQOL in patients with type 2 diabetes.

scholarly journals The impact of music on health-related quality of life, as quantified by the SF-36: A systematic review and meta-analysis

2021 ◽  
Author(s):  
J. Matt McCrary ◽  
Eckart Altenmuller ◽  
Clara Kretschmer ◽  
Daniel S. Scholz
Keyword(s):  
Standard Treatment ◽  
Meta Analysis ◽  
Music Listening ◽  
Health Related Quality ◽  
Post Intervention ◽  
Sf 36 ◽  
Related Quality ◽  
Health Related ◽  
The Impact

Background/Objectives: Increasing evidence supports the ability of music to broadly promote wellbeing and health-related quality of life (HRQOL). However, the magnitude of music effects on HRQOL is still unclear, particularly relative to established interventions, limiting inclusion of music interventions in health policy and care. The SF-36 is the most widely used instrument to evaluate HRQOL, with broad validity in evaluating the effects of a range of interventions. This study aims to synthesize and contextualize the impact of music interventions on HRQOL, as assessed by the SF-36. Methods: MEDLINE; EMBASE; Web of Science; PsycINFO, clinicaltrials.gov, and ICTRP databases were searched on 30 July 2021. Randomized and single-group studies of music interventions which reported SF-36 data at pre- and post-intervention timepoints were included. Observational studies were excluded. The quality and certainty of evidence provided by included articles and meta-analysis results was appraised using GRADE. Inverse variance random effects meta-analyses quantified changes in SF-36 mental and physical component summary scores (respectively, MCS and PCS) pre- to post-intervention and vs. common control groups. Results: Analyses included 764 participants from 25 studies. Music interventions (music listening, 10 studies; music therapy, 7 studies; singing, 7 studies; gospel music, 1 study) significantly improved MCS (Mean difference (MD) [95% confidence interval]=3.0 [1.4, 4.6]; p<.001) and PCS (MD=1.0 [0.1, 2.0; p<.04) scores. In a subgroup (8 studies; music group, N=254; control, N=257) addition of music to standard treatment for a range of conditions significantly improved MCS scores vs. standard treatment alone (MD=3.7 [0.4, 7.1; p<.03). Effects did not vary between music listening, therapy and singing intervention types or doses (p>.12); no evidence of small study or publication biases was present in any analysis (p>.31). Music impact on MCS scores meets SF-36 minimum important difference thresholds (MD>/=3) and is within the range of established interventions. Conclusions: This study provides Moderate quality evidence that music interventions can generally be used to provide clinically meaningful improvements in HRQOL. Further study is needed to determine optimal music interventions and doses for distinct clinical and public health scenarios. Funding: Alexander von Humboldt Foundation Registration: PROSPERO (ID: CRD42021276204)

scholarly journals Impact of patient’s health-related quality of life on physicians’ therapy and perceived benefit in acute coronary syndromes: protocol for a systemic review of quantitative and qualitative studies

BMJ Open ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. e026595 ◽  
Author(s):  
Billingsley Kaambwa ◽  
Hailay Gesesew ◽  
Matthew Horsfall ◽  
Derek P Chew
Keyword(s):  
Quality Of Life ◽  
Treatment Decisions ◽  
Qualitative Studies ◽  
Systemic Review ◽  
Health Related Quality ◽  
Coronary Syndrome ◽  
Related Quality ◽  
Health Related ◽  
The Impact

IntroductionPercutaneous coronary interventions (PCIs) and coronary angiography are two of the treatments administered to acute coronary syndrome (ACS) patients. However, whether and how patients’ health-related quality of life (HRQoL) influences treatment decisions and subsequent risk benefit analyses is unclear. In this study, we will review the available evidence on the impact of patients’ HRQoL on physicians’ prescribing or treatment decisions and on the estimation of mortality and bleeding risk in ACS patients.Methods and analysisWe will undertake a systematic review of all quantitative and qualitative studies. The search will include studies that describe the impact of HRQoL on prescribing PCIs or angiography, and impact of HRQoL on perceived risks in terms of mortality and bleeding events. We will conduct an initial search on Google scholar and MEDLINE to build the searching terms followed by a full search strategy using all identified keywords and index terms across the five databases, namely MEDLINE, PubMed, CINAHL, SCOPUS and Web of Sciences. We will use the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for protocol guidelines to present the protocol. Only English language articles will be included for the review. We will use a standardised Joanna Briggs Institute data extraction tool to synthesise the information extracted from the selected studies into themes with summary findings presented in a table.Ethics and disseminationWe will not require a formal ethical approval as we will not be collecting primary data. Review findings will be disseminated through a peer-reviewed publication, workshops, conference presentations and a media release.PROSPERO registration numberCRD42018108438.

The impact of telehealth care on health-related quality of life of patients with heart failure: Results from the Danish TeleCare North heart failure trial

2019 ◽  
Vol 26 (7-8) ◽  
pp. 452-461 ◽  
Author(s):  
Simon L Cichosz ◽  
Flemming W Udsen ◽  
Ole Hejlesen
Keyword(s):  
Quality Of Life ◽  
Heart Failure ◽  
Health Related Quality ◽  
Primary Analysis ◽  
Sf 36 ◽  
Patients With Heart Failure ◽  
Related Quality ◽  
Health Related ◽  
The Impact

Aim The aim of this study was to assess the impact on health-related quality of life (HRQoL) of a telehealth care solution compared with usual practice of patients with heart failure (HF). Methods A randomized controlled trial with a telehealth care solution (Telekit) as the intervention (with a focus on self-empowerment achieved by engaging patients in their own illness through self-monitoring) combined with usual care and usual care as the control. The primary outcome was a change in HRQoL as measured by the Short Form-36 (SF-36) questionnaire Physical Component Summary (PCS) score. Secondary outcomes were changes in HRQoL as measured by the SF-36 questionnaire Mental Component Summary (MSC) score and the HF disease-specific questionnaire Kansas City Cardiomyopathy Questionnaire 12 (KCCQ12) score, all of which were assessed from baseline to approximately 12 months’ follow-up between the two groups. Outcomes were assessed via unadjusted and adjusted analyses. Results At baseline, 299 (145 interventions, 154 controls) patients were enrolled. In the primary analysis ( n = 299), the adjusted intervention effects were PCS –0.81 (95% CI −2.7–1.1), MCS 4.66 (95% CI 1.8–7.5) and KCCQ12 3.67 (95% CI −0.7–8.1). Only the change in MCS was statistically significant. An unadjusted analysis replicated the primary analysis. Complete case analyses ( n = 193) generally resulted in a lower intervention effect on the PCS score, but the difference remained statistically insignificant. Conclusions Only the MCS score was significantly higher in the telehealth care group compared to the control group. ClinicalTrials.gov (NCT02860013), July 28, 2016

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