scholarly journals AGREEMENT OF NHP AND SF-36 SOCIAL DOMAINS: AN EXPLORATORY STUDY

2017 ◽  
Vol 5 (1) ◽  
pp. 19
Author(s):  
Bianca Macêdo de Alencar ◽  
Israel Souza ◽  
Katia Nunes Sá

Introduction: Health Related Quality of Life (HRQoL) is an important outcome measure to investigate and monitor patients with chronic diseases. In order to achieve such goal, it is essential to choose an appropriate tool to evaluate the peculiarities of each population. Instruments to investigate HRQoL, NHP and SF-36 are alike in several aspects and are considered by the scientific community as replaceable each other. However, there are doubts regarding the agreement of their social domains. Objective: The present study aim to assess whether the social domains of the NHP and SF-36 correspond when applied in a population with chronic disease. Methods: The present research was made by applying the two instruments to a population with chronic disease. The social domains agreement was evaluated by Pearson correlation, ROC curve, AUC, Youdex Index, and Bland-Altman plot. Results: It was achieve a weak correlation between the two social domais (r = 0.3), confirmed by ROC curve with small AUC (0.416) and Youdex Index around 0.0. The Bland-Altman plot reaffirmed the no agreement between the two subscale by achieving mean difference equal to 29.37 (± 38.51), which made the concordance Interval vary from 106.39 to -47.65. Conclusion: it was concluded that social domains of NHP and SF-36 do not agree to each other. However, reasons for that are not explained and need to be investigated in futures studies. The current research was approved by the Research Ethics Committee of the Bahiana School of Medicine and Public Health under the protocol CAAE 516.42315.5.0000.5544.

2009 ◽  
Vol 29 (3) ◽  
pp. 108-117 ◽  
Author(s):  
W.M. Hopman ◽  
M.B. Harrison ◽  
H. Coo ◽  
E. Friedberg ◽  
M. Buchanan ◽  
...  

This paper examines the associations between chronic disease, age, and physical and mental health-related quality of life (HRQOL), using data collected in 10 studies representing five chronic conditions. HRQOL was measured using the SF-36 or the shorter subset, SF-12. Physical Component Summary (PCS) and Mental Component Summary (MCS) scores were graphed by condition in age increments of 10 years, and compared to age- and sex-adjusted normative data. Linear regression models for the PCS and MCS were controlled for available confounders. The sample size of 2418 participants included 129 with renal failure, 366 with osteoarthritis (OA), 487 with heart failure, 1160 with chronic wound (leg ulcer) and 276 with multiple sclerosis (MS). For the PCS, there were large differences between the normative data and the mean scores of those with chronic diseases, but small differences for the MCS. Female gender and comorbid conditions were associated with poorer HRQOL; increased age was associated with poorer PCS and better MCS. This study provided additional evidence that, while physical function could be severely and negatively affected by both chronic disease and advanced age, mental health remained relatively high and stable.


Author(s):  
M. Haider ◽  
Manoj Verma ◽  
Afzal Hakim ◽  
Arun Kumar ◽  
Savitri Sharma ◽  
...  

Background: Diabetes mellitus is a chronic disease, leading to many complications and substantial decrease in patient’s Health related quality of life (HRQOL). The aim of study was to assess health related quality of life of diabetic patient.Methods: This cross-sectional observational study was conducted from December 2020 to February 2021. A total of 100 diabetic patients, resident of field practice area of tertiary care teaching hospital were included in the study. SF-36 scale was used to assess the HRQOL.Results: The most important predictors of impaired HRQOL were female gender, presence of any diabetic complications, presence of non -diabetic comorbidity and longer duration of diabetes. Older age, lower education, unmarried, obesity, hypertension and hyperlipidemia were also associated with impaired HRQOL in SF-36 subscale.Conclusions: Diabetic patients had lower HRQOL in all the domains of quality of life. Identification of associated factors can help prevent deterioration of quality of life.  Prevention and early identification of complications and concomitant chronic disease can also improve quality of life of diabetics.


Author(s):  
Eldhose Varghese ◽  
Irrin Poulose ◽  
Chaitanya Sagar G ◽  
Jennifer Ann Jose ◽  
Mintu Mathew Ms

Tuberculosis (TB) is potentially airborne severe infectious disease which requires long term treatment. It considerably affects the physical and mental health quality of the patient’s life. Appropriate patient counselling with the help of Patient Information Leaflet will help to improve the patient’s quality of life and overall treatment outcome. To enhance the health related quality of life in pulmonary tuberculosis patients by providing patient counselling with the aid of patient information leaflet. An interventional study was carried out for six months in 80 patients diagnosed with pulmonary tuberculosis from the OP & IP of Tuberculosis and Chest Department of a medical college hospital. The HRQoL was assessed using the SF-36 questionnaire. Appropriate patient counselling was provided with the help of Patient Information Leaflet. In our study, a total of 80 patients were enrolled, out of which 49[61%] were Out-patients, and 31[39%] were In-patients. All the 8 sub domains of the SF-36 survey show statistical significance with improvement in 2nd Visit (after counselling) when compared with the baseline visit. The demographic variables like smoking, low socioeconomic status, allergies, family history show statistically significant association with overall HRQoL. The HRQOL of the pulmonary tuberculosis patients were initially low before the start of Anti-TB therapy, after providing proper patient counselling using patient information leaflet the HRQoL scores were found to be increased on the subsequent re-visits, which implies the need of proper patient counselling and follow-up in PTB for the better quality of life.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 260.2-261
Author(s):  
A. Gomez ◽  
J. Lindblom ◽  
V. Qiu ◽  
A. Cederlund ◽  
A. Borg ◽  
...  

Background:Despite improvements in medical care that have contributed to prolonged life expectancy for people living with systemic lupus erythematosus (SLE) over the past decades, they still suffer from substantial diminutions of health-related quality of life (HRQoL) compared with the general population and with other chronic diseases.Some studies have demonstrated that conventional synthetic and biological disease-modifying agents contribute to improvements in SLE patients’ HRQoL, and responders to treatment have been shown to report greater improvements than non-responders. Although these observations are clinically relevant, improvement following a therapeutic intervention does not necessarily signify that the individual has achieved a satisfactory health state perception. In rheumatoid arthritis, significant pain and severe fatigue persist in a substantial proportion of patients who achieve a good clinical response to treatment or remission. This paradoxical observation has not been thoroughly explored in SLE.Objectives:To determine the prevalence of adverse HRQoL outcomes in patients with SLE who achieved an adequate clinical response after a 52-week long period on standard therapy plus belimumab or placebo, within the frame of two phase III clinical trials. We further aimed to compare frequencies of adverse HRQoL outcomes across different age categories and ethnic groups, and sought to identify contributing factors.Methods:We included patients who met the primary endpoint of the BLISS-52 (NCT00424476) and BLISS-76 (NCT00410384) trials (N=760/1684), i.e. attainment of the SLE Responder Index 4 at week 52. Accordingly, evaluation of adverse HRQoL outcomes was based on patient reports at week 52 from treatment initiation, using the Medical Outcomes Study Short Form 36 (SF-36) health survey and the Functional Assessment of Chronic Illness Therapy Fatigue (FACIT-Fatigue) scale. Adverse HRQoL outcomes were defined as (i) SF-36 scale scores ≤ the 5th percentile derived from age- and sex-matched US population-based norms from the SF-36 health survey user manual; and (ii) FACIT-Fatigue scores <30.Pearson’s chi-square or Fisher’s exact tests were used to investigate associations between dichotomous variables. Comparisons of continuous data between SLE patients and age- and sex-matched norms were performed using the Wilcoxon signed-rank test. Multivariable logistic regression models were created in order to assess independence and priority of potential factors associated with adverse HRQoL outcomes.Results:We found clinically important diminutions of HRQoL in SLE patients compared with matched norms and high frequencies of adverse HRQoL outcomes, the highest in SF-36 general health (29.1%), followed by FACIT-Fatigue (25.8%) and SF-36 physical functioning (25.4%). Overall, frequencies were higher with increasing age. Black/African American and White/Caucasian patients reported higher frequencies than Asians and Indigenous Americans, while Hispanics experienced adverse HRQoL less frequently than non-Hispanics. Increasing organ damage was associated with adverse physical but not mental HRQoL outcomes; disease activity showed no impact. In multivariable logistic regression analysis, addition of belimumab to standard therapy was associated with lower frequencies of adverse SF-36 physical functioning (OR: 0.59; 95% CI: 0.39–0.91; P=0.016) and FACIT-F (OR: 0.53; 95% CI: 0.34–0.81; P=0.004).Conclusion:Substantial proportions of SLE patients reported adverse HRQoL outcomes despite adequate clinical response to treatment, especially in physical aspects. Particularly high proportions were seen within Black/African American and White/Caucasian patients. Add-on belimumab may be protective against adverse physical functioning and severe fatigue. Our results corroborate that HRQoL diminutions constitute a substantial burden in patients with SLE, and highlight the limitations of current therapeutic strategies.Acknowledgements:The authors would like to thank GlaxoSmithKline (Uxbridge, UK) for sharing the data from the BLISS-52 (NCT00424476) and BLISS-76 (NCT00410384) trials with the Clinical Study Data Request (CSDR) consortium, Dimitris Ladakis, Joaquin Matilla and Martin Pehr for contributing to the management of data, as well as all participating patients.Disclosure of Interests:Alvaro Gomez: None declared, Julius Lindblom: None declared, Victor Qiu: None declared, Arvid Cederlund: None declared, Alexander Borg: None declared, Sharzad Emamikia: None declared, Yvonne Enman: None declared, Jon Lampa: None declared, Ioannis Parodis Grant/research support from: Research funding and/or honoraria from Amgen, Elli Lilly and Company, Gilead Sciences, GlaxoSmithKline and Novartis.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ravi Jandhyala

Abstract Background Health-related quality of life (HRQoL) tools are limited by the indicators included in the construct and variation in interpretation by different researchers. Neutral Theory describes the ideal construct that includes all relevant indicators and, therefore, complete accuracy, or neutrality. Neutral Theory can thereby provide the framework to develop or test constructs. To assess the application of Neutral Theory, the neutrality of generic tools (SF-36 and EQ-5D) at measuring HRQoL was compared to disease/condition-specific tools, with the latter considered surrogates for the Neutral construct. Methods Full descriptions of all disease/condition-specific HRQoL tools published on PubMed (to 01-Jul-19) were sourced. For each tool, the number of items with and without a direct match within the SF-36 and EQ-5D was recorded and the sensitivity/specificity calculated. Results The SF-36 and EQ-5D did not achieve a sensitivity/specificity both > 50% against any of the 163 disease/condition-specific tools identified. At 20% prevalence of poor HRQoL, the false positive rate (FPR) was > 75% for all but two tools against the SF-36 and six tools against the EQ-5D. Increasing poor HRQoL to 80%, 47 tools for the SF-36 and 48 tools for the EQ-5D had a FPR < 50%. For rare disease tools (< 1/2000 population; n = 17), sensitivity/specificity ranged from 0 to 40%/5–31% for the SF-36 and 0–22%/29–100% for the EQ-5D. For non-rare (n = 75) and symptom-specific tools (n = 71) sensitivity/specificity was: 0–100%/0–100% (SF-36) and 0–50%/0–100% (EQ-5D); and 0–60%/0–19% (SF-36) and 0–25%/0–100% (EQ-5D), respectively. No concordance was recorded for 18% (2/11) of results from studies of rare disease tools versus the SF-36 (no data vs EQ-5D). For non-rare, disease-specific tools, results were discordant for 30% (25/84) and 35% (23/65) of studies against the SF-36 and EQ-5D, respectively. For symptom-specific tools, corresponding results were 36% (24/66) and 16% (5/31). Conclusions Generic HRQoL tools appear poorly correlated with disease/condition-specific tools, which indicates that adoption of Neutral Theory in the development and assessment of HRQoL tools could improve their relevance, accuracy, and utility in economic evaluations of health interventions.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
José G. M. Hofhuis ◽  
Augustinus J. P. Schrijvers ◽  
Tjard Schermer ◽  
Peter E. Spronk

AbstractMany Intensive Care (ICU) survivors experience long lasting impairments in physical and psychological health as well as social functioning. The objective of our study was to evaluate these effects up to 10 years after ICU discharge. We performed a long-term prospective cohort study in patients admitted for longer than 48 h in a medical-surgical ICU. We evaluated health-related quality of life (HRQOL) before ICU admission using the Short-form-36 (SF-36), at ICU discharge, at hospital discharge and at 1, 2, 5 and 10 years follow up (all by patients). Changes in HRQOL were assessed based on linear mixed modeling. We included a total of 749 patients (from 2000 to 2008). During 10 years 475 (63.4%) patients had died, 125 (16.7%) patients were lost to follow up and 149 (19.9%) patients could be evaluated. The mean scores of four HRQOL dimensions (i.e., physical functioning (p < 0.001; mean 54, SD 32, effect size 0.77, 95% CI [0.54–1.0]), role-physical (p < 0.001; mean 44, SD 47, effect size 0.65, 95% CI [0.41–0.68] general health (p < 0.001; mean 52, SD 27, effect size 0.48; 95% CI 0.25–0.71) and social functioning (p < 0.001; mean 72, SD 32, effect size 0.41, 95% CI [0.19–0.64]) were still lower 10 years after ICU discharge compared with pre-admission levels (n = 149) and with an age reference population. Almost all SF-36 dimensions changed significantly over time from ICU discharge up to 10 years after ICU discharge. Over the 10 year follow up physical functioning of medical-surgical ICU survivors remains impaired compared with their pre-admission values and an age reference population. However, effect sizes showed no significant differences suggesting that surviving patients largely regained their age-specific HRQOL at 10 years.


2021 ◽  
pp. 1-24
Author(s):  
Daniela Viramontes-Hörner ◽  
Zoe Pittman ◽  
Nicholas M Selby ◽  
Maarten W Taal

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.


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 645.2-646
Author(s):  
A. Kivitz ◽  
Y. Tanaka ◽  
S. Lee ◽  
L. Ye ◽  
H. Hu ◽  
...  

Background:In the FINCH 1 study, filgotinib (FIL)—an oral, potent, selective Janus kinase 1 inhibitor—in combination with methotrexate (MTX) provided significant improvements in the signs and symptoms of rheumatoid arthritis (RA) in patients (pts) with inadequate response to MTX.1While EULAR guidelines recommend a treat-to-target approach focusing on reducing inflammation to prevent joint damage, physical disability, and mortality, pts consider control of pain and fatigue, along with maintenance of physical function and health-related quality of life (HRQoL), to be important aspects for their care.2,3Objectives:To evaluate the rate and magnitude of change in patient-reported outcomes (PROs) from FINCH 1.Methods:In the FINCH 1 study (NCT02889796), pts with active RA received oral FIL 200 mg + MTX, FIL 100 mg + MTX, PBO + MTX, or subcutaneous adalimumab (ADA) 40 mg + MTX for up to 52 weeks (W); pts receiving PBO at W24 were rerandomised 1:1 to FIL 100 or 200 mg. PROs included the HAQ-DI and VAS pain scale, SF-36, and FACIT-Fatigue questionnaire. The change from baseline (CFB) at each time point was assessed up to W52 for each treatment group. The mixed-effects model for repeated measures was used to compare each FIL group with PBO for the CFB at each time point through W24. The logistic regression model was used to compare each FIL group with PBO for the proportion of pts achieving the minimum clinically important difference (MCID) of ≥0.22 reduction in CFB in HAQ-DI at each time point through W24.Results:Of 1755 pts randomised and treated (475 FIL 200 mg + MTX; 480 FIL 100 mg + MTX; 325 ADA + MTX; and 475 PBO + MTX), 1417 (80.7%) received study drug through W52. As early as W2 through W24, pts receiving either dose of FIL experienced nominally significantly greater (p <0.001) CFB in HAQ-DI and VAS pain scale than those receiving PBO; CFB improvements were maintained through W52 (Fig 1A, B). At W2, compared with PBO (40.2%), a nominally significantly greater proportion of pts achieved the HAQ-DI MCID in both the FIL 200 (52.5%; p <0.001) and 100 mg (46.7%; p = 0.043) groups. This benefit vs PBO was maintained up to W24 and the proportion of pts who achieved a HAQ-DI reduction of ≥0.22 remained ≥75.8% in the FIL 200 mg group and ≥71.5% in the FIL 100 mg group from W12 through W52. FIL provided nominally significantly greater improvement in HRQoL vs PBO at W4 and W12 for both the CFB of the SF-36 Physical Component Summary (PCS) (p <0.001) and Mental Component Summary (MCS) (p ≤0.006); nominal significance was also seen at W24 for CFB of SF-36 PCS (Fig 2A, B). By W4, pts receiving either dose of FIL reported a nominally significantly greater mean CFB in FACIT-Fatigue scores vs PBO (p <0.001); significance was maintained through W24 and improvement in reported fatigue continued through W52 in the FIL groups (Fig 2C). In general, CFB for HAQ-DI, VAS pain scale, and FACIT-Fatigue observed for the FIL groups was higher or comparable to ADA at various time points (Fig 1, 2).Conclusion:Both doses of FIL provided rapid and sustained improvements in functional status, pain, HRQoL, and fatigue compared with PBO for pts with RA and inadequate response to MTX throughout the 52-week period.References:[1]Combe BG, et al.Ann Rheum Dis.2019;78 (Suppl 2):A77.[2]Fautrel B, et al.Rheumatol Int.2018;38:935–47.[3]Smolen JS, et al.Ann Rheum Dis.2017;76:960–77.Disclosure of Interests:Alan Kivitz Shareholder of: AbbVie, Amgen, Gilead, GSK, Pfizer Inc, Sanofi, Consultant of: AbbVie, Boehringer Ingelheim,,Flexion, Genzyme, Gilead, Janssen, Novartis, Pfizer Inc, Regeneron, Sanofi, SUN Pharma Advanced Research, UCB, Paid instructor for: Celgene, Genzyme, Horizon, Merck, Novartis, Pfizer, Regeneron, Sanofi, Speakers bureau: AbbVie, Celgene, Flexion, Genzyme, Horizon, Merck, Novartis, Pfizer Inc, Regeneron, Sanofi, Yoshiya Tanaka Grant/research support from: Asahi-kasei, Astellas, Mitsubishi-Tanabe, Chugai, Takeda, Sanofi, Bristol-Myers, UCB, Daiichi-Sankyo, Eisai, Pfizer, and Ono, Consultant of: Abbvie, Astellas, Bristol-Myers Squibb, Eli Lilly, Pfizer, Speakers bureau: Daiichi-Sankyo, Astellas, Chugai, Eli Lilly, Pfizer, AbbVie, YL Biologics, Bristol-Myers, Takeda, Mitsubishi-Tanabe, Novartis, Eisai, Janssen, Sanofi, UCB, and Teijin, Susan Lee Shareholder of: Gilead Sciences Inc., Employee of: Gilead Sciences Inc., Lei Ye Shareholder of: Gilead Sciences Inc., Employee of: Gilead Sciences Inc., Hao Hu Shareholder of: Gilead Sciences Inc., Employee of: Gilead Sciences Inc., Robin Besuyen Shareholder of: Galapagos, Employee of: Galapagos, Bernard Combe Grant/research support from: Novartis, Pfizer, Roche-Chugai, Consultant of: AbbVie; Gilead Sciences, Inc.; Janssen; Eli Lilly and Company; Pfizer; Roche-Chugai; Sanofi, Speakers bureau: Bristol-Myers Squibb; Gilead Sciences, Inc.; Eli Lilly and Company; Merck Sharp & Dohme; Pfizer; Roche-Chugai; UCB


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