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Publisher: BMC (Biomed Central)   (Total: 308 journals)

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Showing 1 - 200 of 308 Journals sorted alphabetically
Acta Neuropathologica Communications     Open Access   (Followers: 1, SJR: 2.683, CiteScore: 5)
Acta Veterinaria Scandinavica     Open Access   (Followers: 1, SJR: 0.655, CiteScore: 1)
Addiction Science & Clinical Practice     Open Access   (Followers: 8, SJR: 1.224, CiteScore: 3)
Advances in Rheumatology     Open Access   (Followers: 1)
Advances in Simulation     Open Access   (Followers: 4)
Agriculture & Food Security     Open Access   (Followers: 15, SJR: 0.575, CiteScore: 2)
AIDS Research and Therapy     Open Access   (Followers: 13, SJR: 1.08, CiteScore: 2)
Algorithms for Molecular Biology     Open Access   (Followers: 4, SJR: 1.333, CiteScore: 2)
Allergy, Asthma and Clinical Immunology     Open Access   (Followers: 26, SJR: 0.732, CiteScore: 2)
Alzheimer's Research & Therapy     Open Access   (Followers: 3, SJR: 2.449, CiteScore: 6)
Animal Biotelemetry     Open Access   (Followers: 1, SJR: 1.067, CiteScore: 2)
Annals of Clinical Microbiology and Antimicrobials     Open Access   (Followers: 12, SJR: 1.104, CiteScore: 3)
Annals of General Psychiatry     Open Access   (Followers: 26, SJR: 0.784, CiteScore: 2)
Annals of Occupational and Environmental Medicine     Open Access   (Followers: 12, SJR: 0.452, CiteScore: 1)
Annals of Surgical Innovation and Research     Open Access   (Followers: 3, SJR: 0.328, CiteScore: 1)
Antimicrobial Resistance and Infection Control     Open Access   (Followers: 7, SJR: 1.573, CiteScore: 3)
Applied Cancer Research     Open Access   (Followers: 2)
Archives of Physiotherapy     Open Access   (Followers: 11)
Archives of Public Health     Open Access   (Followers: 12, SJR: 1.244, CiteScore: 3)
Arthritis Research & Therapy     Open Access   (Followers: 14, SJR: 2.154, CiteScore: 4)
Asia Pacific Family Medicine     Open Access   (Followers: 1, SJR: 0.538, CiteScore: 1)
Asthma Research and Practice     Open Access   (Followers: 1)
Basic and Clinical Andrology     Open Access   (SJR: 0.564, CiteScore: 2)
Behavioral and Brain Functions     Open Access   (Followers: 3, SJR: 0.986, CiteScore: 3)
Big Data Analytics     Open Access   (Followers: 29)
BioData Mining     Open Access   (Followers: 5, SJR: 0.982, CiteScore: 2)
Bioelectronic Medicine     Open Access   (Followers: 1)
Biological Procedures Online     Open Access   (SJR: 1.352, CiteScore: 4)
Biological Research     Open Access   (SJR: 0.654, CiteScore: 2)
Biology Direct     Open Access   (Followers: 9, SJR: 1.694, CiteScore: 3)
Biology of Mood & Anxiety Disorders     Open Access   (Followers: 5)
Biology of Sex Differences     Open Access   (Followers: 2, SJR: 1.902, CiteScore: 4)
Biomarker Research     Open Access   (Followers: 3)
Biomaterials Research     Open Access   (Followers: 4, SJR: 0.735, CiteScore: 3)
Biomedical Dermatology     Open Access  
BioMedical Engineering OnLine     Open Access   (Followers: 7, SJR: 0.542, CiteScore: 2)
BioPsychoSocial Medicine     Open Access   (Followers: 8, SJR: 0.416, CiteScore: 1)
Biotechnology for Biofuels     Open Access   (Followers: 9, SJR: 1.899, CiteScore: 6)
BMC Anesthesiology     Open Access   (Followers: 17, SJR: 0.807, CiteScore: 2)
BMC Biochemistry     Open Access   (Followers: 16, SJR: 0.708, CiteScore: 2)
BMC Bioinformatics     Open Access   (Followers: 166, SJR: 1.479, CiteScore: 2)
BMC Biology     Open Access   (Followers: 63, SJR: 3.842, CiteScore: 5)
BMC Biomedical Engineering     Open Access  
BMC Biophysics     Open Access   (Followers: 3, SJR: 0.682, CiteScore: 2)
BMC Biotechnology     Open Access   (Followers: 16, SJR: 1.012, CiteScore: 3)
BMC Cancer     Open Access   (Followers: 30, SJR: 1.464, CiteScore: 3)
BMC Cardiovascular Disorders     Open Access   (Followers: 22, SJR: 0.909, CiteScore: 2)
BMC Chemical Engineering     Open Access  
BMC Clinical Pathology     Open Access   (Followers: 8, SJR: 1.141, CiteScore: 3)
BMC Complementary and Alternative Medicine     Open Access   (Followers: 18, SJR: 0.858, CiteScore: 3)
BMC Dermatology     Open Access   (Followers: 13, SJR: 0.796, CiteScore: 2)
BMC Developmental Biology     Open Access   (Followers: 13, SJR: 1.43, CiteScore: 2)
BMC Ear, Nose and Throat Disorders     Open Access   (Followers: 1, SJR: 0.653, CiteScore: 2)
BMC Ecology     Open Access   (Followers: 25, SJR: 1.076, CiteScore: 2)
BMC Emergency Medicine     Open Access   (Followers: 17, SJR: 0.572, CiteScore: 1)
BMC Endocrine Disorders     Open Access   (Followers: 8, SJR: 0.965, CiteScore: 2)
BMC Evolutionary Biology     Open Access   (Followers: 72, SJR: 1.656, CiteScore: 3)
BMC Family Practice     Open Access   (Followers: 15, SJR: 1.137, CiteScore: 2)
BMC Gastroenterology     Open Access   (Followers: 16, SJR: 1.231, CiteScore: 3)
BMC Genetics     Open Access   (Followers: 31, SJR: 1.16, CiteScore: 3)
BMC Genomics     Open Access   (Followers: 88, SJR: 2.11, CiteScore: 4)
BMC Geriatrics     Open Access   (Followers: 16, SJR: 1.257, CiteScore: 3)
BMC Health Services Research     Open Access   (Followers: 18, SJR: 1.151, CiteScore: 2)
BMC Hematology     Open Access   (Followers: 6, SJR: 0.545, CiteScore: 1)
BMC Immunology     Open Access   (Followers: 11, SJR: 0.993, CiteScore: 3)
BMC Infectious Diseases     Open Access   (Followers: 18, SJR: 1.576, CiteScore: 3)
BMC Intl. Health and Human Rights     Open Access   (Followers: 6, SJR: 1.006, CiteScore: 2)
BMC Medical Education     Open Access   (Followers: 48, SJR: 0.765, CiteScore: 2)
BMC Medical Ethics     Open Access   (Followers: 23, SJR: 1.016, CiteScore: 2)
BMC Medical Genetics     Open Access   (Followers: 8, SJR: 1.109, CiteScore: 2)
BMC Medical Genomics     Open Access   (Followers: 5, SJR: 1.688, CiteScore: 3)
BMC Medical Imaging     Open Access   (Followers: 9, SJR: 0.536, CiteScore: 2)
BMC Medical Informatics and Decision Making     Open Access   (Followers: 24, SJR: 0.812, CiteScore: 2)
BMC Medical Physics     Open Access   (Followers: 9)
BMC Medical Research Methodology     Open Access   (Followers: 10, SJR: 2.221, CiteScore: 3)
BMC Medicine     Open Access   (Followers: 13, SJR: 4.219, CiteScore: 7)
BMC Microbiology     Open Access   (Followers: 15, SJR: 1.242, CiteScore: 3)
BMC Molecular and Cell Biology     Open Access   (Followers: 46, SJR: 1.277, CiteScore: 3)
BMC Molecular Biology     Open Access   (Followers: 174, SJR: 1.216, CiteScore: 2)
BMC Musculoskeletal Disorders     Open Access   (Followers: 24, SJR: 0.951, CiteScore: 2)
BMC Nephrology     Open Access   (Followers: 8, SJR: 1.098, CiteScore: 3)
BMC Neurology     Open Access   (Followers: 22, SJR: 1.006, CiteScore: 2)
BMC Neuroscience     Open Access   (Followers: 16, SJR: 1.12, CiteScore: 2)
BMC Nursing     Open Access   (Followers: 27, SJR: 0.766, CiteScore: 2)
BMC Nutrition     Open Access   (Followers: 12)
BMC Obesity     Open Access   (Followers: 7)
BMC Ophthalmology     Open Access   (Followers: 16, SJR: 0.921, CiteScore: 2)
BMC Oral Health     Open Access   (Followers: 8, SJR: 0.867, CiteScore: 2)
BMC Palliative Care     Open Access   (Followers: 32, SJR: 1.105, CiteScore: 2)
BMC Pediatrics     Open Access   (Followers: 17, SJR: 1.278, CiteScore: 2)
BMC Pharmacology     Open Access   (Followers: 2)
BMC Pharmacology & Toxicology     Open Access   (Followers: 6, SJR: 0.785, CiteScore: 2)
BMC Physiology     Open Access   (Followers: 4, SJR: 0.936, CiteScore: 2)
BMC Plant Biology     Open Access   (Followers: 15, SJR: 1.887, CiteScore: 4)
BMC Pregnancy and Childbirth     Open Access   (Followers: 22, SJR: 1.427, CiteScore: 3)
BMC Proceedings     Full-text available via subscription   (Followers: 1, SJR: 0.302, CiteScore: 1)
BMC Psychiatry     Open Access   (Followers: 34, SJR: 1.346, CiteScore: 3)
BMC Psychology     Open Access   (Followers: 21, SJR: 0.817, CiteScore: 2)
BMC Public Health     Open Access   (Followers: 192, SJR: 1.337, CiteScore: 3)
BMC Pulmonary Medicine     Open Access   (Followers: 4, SJR: 1.373, CiteScore: 3)
BMC Research Notes     Open Access   (Followers: 5, SJR: 0.691, CiteScore: 2)
BMC Rheumatology     Open Access   (Followers: 2)
BMC Sports Science, Medicine and Rehabilitation     Open Access   (Followers: 33, SJR: 0.926, CiteScore: 2)
BMC Structural Biology     Open Access   (Followers: 8, SJR: 1.024, CiteScore: 2)
BMC Surgery     Open Access   (Followers: 10, SJR: 0.693, CiteScore: 2)
BMC Systems Biology     Open Access   (Followers: 11, SJR: 1.109, CiteScore: 2)
BMC Urology     Open Access   (Followers: 15, SJR: 0.853, CiteScore: 2)
BMC Veterinary Research     Open Access   (Followers: 19, SJR: 0.934, CiteScore: 2)
BMC Women's Health     Open Access   (Followers: 13, SJR: 0.931, CiteScore: 2)
BMC Zoology     Open Access   (Followers: 1)
Borderline Personality Disorder and Emotion Dysregulation     Open Access   (Followers: 9)
Breast Cancer Research     Open Access   (Followers: 17, SJR: 3.026, CiteScore: 6)
Burns & Trauma     Open Access   (Followers: 13)
Cancer & Metabolism     Open Access   (Followers: 6)
Cancer Cell Intl.     Open Access   (Followers: 7, SJR: 1.13, CiteScore: 3)
Cancer Communications     Open Access  
Cancer Convergence     Open Access   (Followers: 1)
Cancer Imaging     Open Access   (Followers: 3, SJR: 1.012, CiteScore: 3)
Cancer Nanotechnology     Open Access   (Followers: 2, SJR: 1.168, CiteScore: 4)
Cancers of the Head & Neck     Open Access   (Followers: 2)
Canine Genetics and Epidemiology     Open Access   (Followers: 1)
Carbon Balance and Management     Open Access   (Followers: 5, SJR: 0.977, CiteScore: 2)
Cardio-Oncology     Open Access  
Cardiovascular Diabetology     Open Access   (Followers: 10, SJR: 2.157, CiteScore: 5)
Cardiovascular Ultrasound     Open Access   (Followers: 5, SJR: 0.812, CiteScore: 2)
Cell Communication and Signaling     Open Access   (Followers: 2, SJR: 2.211, CiteScore: 4)
Cell Division     Open Access   (Followers: 1, SJR: 2.445, CiteScore: 4)
Cellular & Molecular Biology Letters     Hybrid Journal   (Followers: 3)
Cerebellum & Ataxias     Open Access   (Followers: 1)
Chemistry Central J.     Open Access   (Followers: 4, SJR: 0.607, CiteScore: 3)
Child and Adolescent Psychiatry and Mental Health     Open Access   (Followers: 27, SJR: 0.901, CiteScore: 2)
Chinese Medicine     Open Access   (Followers: 2, SJR: 0.57, CiteScore: 2)
Chinese Neurosurgical J.     Open Access  
Chiropractic & Manual Therapies     Open Access   (Followers: 5, SJR: 0.599, CiteScore: 2)
Cilia     Open Access   (SJR: 0.732, CiteScore: 1)
Clinical and Molecular Allergy     Open Access   (Followers: 5, SJR: 0.933, CiteScore: 3)
Clinical and Translational Allergy     Open Access   (Followers: 2, SJR: 1.425, CiteScore: 4)
Clinical Diabetes and Endocrinology     Open Access   (Followers: 22)
Clinical Epigenetics     Open Access   (Followers: 11, SJR: 2.435, CiteScore: 5)
Clinical Hypertension     Open Access   (Followers: 5)
Clinical Sarcoma Research     Open Access  
Conflict and Health     Open Access   (Followers: 7, SJR: 1.851, CiteScore: 3)
Contraception and Reproductive Medicine     Open Access   (Followers: 1)
COPD Research and Practice     Open Access   (Followers: 1, SJR: 0.755, CiteScore: 2)
Cost Effectiveness and Resource Allocation     Open Access   (Followers: 5, SJR: 0.888, CiteScore: 2)
Critical Care     Open Access   (Followers: 66, SJR: 2.48, CiteScore: 5)
Current Opinion in Molecular Therapeutics     Full-text available via subscription   (Followers: 13)
Diabetology & Metabolic Syndrome     Open Access   (Followers: 7, SJR: 0.943, CiteScore: 2)
Diagnostic and Prognostic Research     Open Access  
Diagnostic Pathology     Open Access   (Followers: 13, SJR: 0.818, CiteScore: 2)
Disaster and Military Medicine     Open Access   (Followers: 4)
Emerging Themes in Epidemiology     Open Access   (Followers: 13, SJR: 1.003, CiteScore: 2)
Energy, Sustainability and Society     Open Access   (Followers: 16, SJR: 0.607, CiteScore: 2)
Environmental Health     Open Access   (Followers: 12, SJR: 1.662, CiteScore: 4)
Environmental Health and Preventive Medicine     Open Access   (Followers: 4, SJR: 0.5, CiteScore: 1)
Epigenetics & Chromatin     Open Access   (Followers: 8, SJR: 3.767, CiteScore: 5)
European J. of Medical Research     Open Access   (Followers: 1, SJR: 0.55, CiteScore: 1)
European Review of Aging and Physical Activity     Open Access   (Followers: 11, SJR: 1.308, CiteScore: 4)
Experimental & Translational Stroke Medicine     Open Access   (Followers: 8, SJR: 0.98, CiteScore: 3)
Experimental Hematology & Oncology     Open Access   (Followers: 4, SJR: 0.842, CiteScore: 2)
ExRNA     Open Access  
Eye and Vision     Open Access   (Followers: 1)
Fertility Research and Practice     Open Access   (Followers: 2)
Fibrogenesis & Tissue Repair     Open Access   (SJR: 1.531, CiteScore: 4)
Fisheries and Aquatic Sciences     Open Access   (Followers: 2, SJR: 0.199, CiteScore: 0)
Flavour     Open Access   (Followers: 3)
Fluids and Barriers of the CNS     Open Access   (Followers: 2, SJR: 2.054, CiteScore: 5)
Frontiers in Zoology     Open Access   (Followers: 7, SJR: 1.597, CiteScore: 3)
Genes and Environment     Open Access   (Followers: 1, SJR: 0.516, CiteScore: 1)
Genetics Selection Evolution     Open Access   (Followers: 7, SJR: 1.745, CiteScore: 4)
Genome Biology     Open Access   (Followers: 34)
Genome Medicine     Open Access   (Followers: 6, SJR: 4.537, CiteScore: 7)
Global Health Research and Policy     Open Access   (Followers: 4)
Globalization and Health     Open Access   (Followers: 6, SJR: 1.262, CiteScore: 2)
Gut Pathogens     Full-text available via subscription   (Followers: 5, SJR: 1.066, CiteScore: 3)
Gynecologic Oncology Research and Practice     Open Access   (Followers: 1)
Harm Reduction J.     Open Access   (SJR: 1.445, CiteScore: 3)
Head & Face Medicine     Open Access   (Followers: 1, SJR: 0.62, CiteScore: 2)
Health and Quality of Life Outcomes     Open Access   (Followers: 15, SJR: 1.069, CiteScore: 3)
Health Research Policy and Systems     Open Access   (Followers: 15, SJR: 1.11, CiteScore: 2)
Hereditary Cancer in Clinical Practice     Open Access   (SJR: 0.848, CiteScore: 2)
Hereditas     Open Access   (Followers: 1, SJR: 0.278, CiteScore: 1)
Human Genomics     Open Access   (Followers: 3, SJR: 1.501, CiteScore: 3)
Human Resources for Health     Open Access   (Followers: 11, SJR: 1.301, CiteScore: 2)
Immunity & Ageing     Open Access   (Followers: 10, SJR: 1.218, CiteScore: 3)
Implementation Science     Open Access   (Followers: 18, SJR: 2.443, CiteScore: 4)
Infectious Agents and Cancer     Open Access   (SJR: 0.855, CiteScore: 2)
Infectious Diseases of Poverty     Open Access   (Followers: 1, SJR: 1.212, CiteScore: 3)
Inflammation and Regeneration     Open Access   (Followers: 2)
Intl. Breastfeeding J.     Open Access   (Followers: 24, SJR: 0.913, CiteScore: 3)
Intl. J. for Equity in Health     Open Access   (Followers: 7, SJR: 1.04, CiteScore: 2)
Intl. J. of Behavioral Nutrition and Physical Activity     Open Access   (Followers: 28, SJR: 2.626, CiteScore: 6)
Intl. J. of Health Geographics     Open Access   (Followers: 7, SJR: 1.385, CiteScore: 3)
Intl. J. of Mental Health Systems     Open Access   (Followers: 7, SJR: 0.721, CiteScore: 2)
Intl. J. of Pediatric Endocrinology     Open Access   (Followers: 10)
Intl. J. of Retina and Vitreous     Open Access   (Followers: 2)
Investigative Genetics     Open Access   (Followers: 1, SJR: 1.809, CiteScore: 3)
Irish Veterinary J.     Open Access   (Followers: 4, SJR: 0.657, CiteScore: 1)
Israel J. of Health Policy Research     Open Access   (SJR: 0.488, CiteScore: 1)
Italian J. of Pediatrics     Open Access   (Followers: 2, SJR: 0.685, CiteScore: 2)

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Similar Journals
Journal Cover
Health and Quality of Life Outcomes
Journal Prestige (SJR): 1.069
Citation Impact (citeScore): 3
Number of Followers: 15  

  This is an Open Access Journal Open Access journal
ISSN (Print) 1477-7525
Published by BMC (Biomed Central) Homepage  [308 journals]
  • Valuation of preference-based measures: can existing preference data be
           used to generate better estimates'

    • Abstract: Background Experimental studies to develop valuations of health state descriptive systems like EQ-5D or SF-6D need to be conducted in different countries, because social and cultural differences are likely to lead to systematically different valuations. There is a scope utilize the evidence in one country to help with the design and the analysis of a study in another, for this to enable the generation of utility estimates of the second country much more precisely than would have been possible when collecting and analyzing the country’s data alone. Methods We analyze SF-6D valuation data elicited from representative samples corresponding to the Hong Kong (HK) and United Kingdom (UK) general adult populations through the use of the standard gamble technique to value 197 and 249 health states respectively. We apply a nonparametric Bayesian model to estimate a HK value set using the UK dataset as informative prior to improve its estimation. Estimates are compared to a HK value set estimated using HK values alone using mean predictions and root mean square error. Results The novel method of modelling utility functions permitted the UK valuations to contribute significant prior information to the Hong Kong analysis. The results suggest that using HK data alongside the existing UK data produces HK utility estimates better than using the HK study data by itself. Conclusion The promising results suggest that existing preference data could be combined with valuation study in a new country to generate preference weights, making own country value sets more achievable for low and middle income countries. Further research is encouraged.
      PubDate: 2018-06-05
       
  • Cross-cultural adaptation and validation of the Italian version of the Hip
           disability and Osteoarthritis Outcome Score (HOOS)

    • Abstract: Objective To create a translated version of the HOOS to fit the Italian population and to test its psychometric properties and validity in hip osteoarthritis (OA) patients undergoing total hip arthroplasty (THA). Design The HOOS Italian version was developed according to published international guidelines that include preparation, forward translation and reconciliation, backward translation, review and harmonization, and proof reading. The Italian HOOS was administered to 145 patients (mean age 65.7 ± 11.6 years, 34–89, 58.6% women) undergoing THA. The following psychometric properties were evaluated: internal consistency (Cronbach’s alpha); test-retest reliability (Pearson’s r and intra-class correlation coefficient, ICC); convergent validity (Spearman’s rho between HOOS and SF-36); responsiveness (comparison of pre/post-THA scores, Wilcoxon signed rank test). Interpretability (floor and ceiling effects, skewness and kurtosis indexes) and acceptability (time to compiling, missing answers, and autonomy in compilation) were also evaluated. Results Translation and transcultural adaptation were conducted in accordance with the international recommendation. The translation was deemed understandable and appropriate as to the transcultural adaptation. None of the patients reported to have met any difficulties in reading and understanding the HOOS items. Internal consistency and test-retest reliability were good for each HOOS subscale (Cronbach’s alpha ≥0.7, Pearson’s r and ICC > 0.80). Convergent validity showed the highest correlations (Spearman’s rho > 0.5) between HOOS and SF-36 subscales relating to similar dimensions. As to responsiveness, all HOOS subscales scores improved significantly after THA (p < 0.01). Interpretability was acceptable despite ceiling effect in post-THA assessment. Acceptability was good: HOOS resulted easy and quick to fill out (12 min on average). Conclusions The HOOS was successfully cross-culturally adapted into Italian. The Italian HOOS showed good psychometric properties therefore it can be useful to assess outcomes in OA patients after THA. This study provided a basis for its use within the Italian Arthroplasty Registry and for future clinical trials.
      PubDate: 2018-06-04
       
  • Understanding the quality of life (QOL) issues in survivors of cancer:
           

    • Abstract: Backround The number of cancer survivors is growing steadily and increasingly, clinical trials are being designed to include long-term follow-up to assess not only survival, but also late effects and health-related quality of life (HRQOL). Therefore it is is essential to develop patient-reported outcome measures (PROMs) that capture the full range of issues relevant to disease-free cancer survivors. The objectives of this project are: 1) to develop a European Organisation for Research and Treatment of Cancer (EORTC) questionnaire that captures the full range of physical, mental and social HRQOL issues relevant to disease-free cancer survivors; and 2) to determine at which minimal time since completion of treatment the questionnaire should be used. Methods We reviewed 134 publications on cancer survivorship and interviewed 117 disease-free cancer survivors with 11 different types of cancer across 14 countries in Europe to generate an exhaustive, provisional list of HRQOL issues relevant to cancer survivors. The resulting issue list, the EORTC core questionnaire (QLQ-C30), and site-specific questionnaire modules were completed by a second group of 458 survivors. Results We identified 116 generic survivorship issues. These issues covered body image, cognitive functioning, health behaviors, negative and positive outlook, health distress, mental health, fatigue, sleep problems, physical functioning, pain, several physical symptoms, social functioning, and sexual problems. Patients rated most of the acute symptoms of cancer and its treatment (e.g. nausea) as no longer relevant approximately one year after completion of treatment. Conclusions Compared to existing cancer survivorship questionnaires, our findings underscore the relevance of assessing issues related to chronic physical side effects of treatment such as neuropathy and joint pain. We will further develop a core survivorship questionnaire and three site-specific modules for disease-free adult cancer survivors who are at least one year post-treatment.
      PubDate: 2018-06-04
       
  • Quality of life and physical activity in long-term (≥5 years
           post-diagnosis) colorectal cancer survivors - systematic review

    • Abstract: Background Due to the increasing number of long-term (≥5 years post diagnosis) colorectal cancer survivors, long-term quality of life of these patients is highly relevant. Several studies have reported a positive association between physical activity and quality of life in colorectal cancer survivors, however, so far no systematic review has been published which focuses on long-term colorectal cancer survivors. Material and methods A systematic review was conducted using the databases PubMed, Web of Science, PsychINFO, and CINAHL. Studies which investigated associations between physical activity and quality of life in long-term colorectal cancer survivors were included. Results and conclusion Ten articles based on seven studies were identified. Long-term colorectal cancer survivors who were physically active reported better quality of life than long-term survivors who were not physically active. Both, moderate to vigorous physical activity and lower levels like light physical activity were associated with higher quality of life. Most studies assessed the association between physical activity and quality of life cross-sectionally but one prospective study which measured physical activity and quality of life at three different points in time also found associations between physical activity and quality of life. The association between physical activity and quality of life seemed to be stronger among women than among men. The findings of this systematic review support an association between physical activity and quality of life in long-term colorectal cancer survivors. However, the evidence is limited as most studies were based on cross-sectional and observational design.
      PubDate: 2018-06-01
       
  • The capability set for work – correlates of sustainable employability in
           workers with multiple sclerosis

    • Abstract: Background The aim of this study was to examine whether work capabilities differ between workers with Multiple Sclerosis (MS) and workers from the general population. The second aim was to investigate whether the capability set was related to work and health outcomes. Methods A total of 163 workers with MS from the MS@Work study and 163 workers from the general population were matched for gender, age, educational level and working hours. All participants completed online questionnaires on demographics, health and work functioning. The Capability Set for Work Questionnaire was used to explore whether a set of seven work values is considered valuable (A), is enabled in the work context (B), and can be achieved by the individual (C). When all three criteria are met a work value can be considered part of the individual’s ‘capability set’. Results Group differences and relationships with work and health outcomes were examined. Despite lower physical work functioning (U = 4250, p = 0.001), lower work ability (U = 10591, p = 0.006) and worse self-reported health (U = 9091, p ≤ 0.001) workers with MS had a larger capability set (U = 9649, p ≤ 0.001) than the general population. In workers with MS, a larger capability set was associated with better flexible work functioning (r = 0.30), work ability (r = 0.25), self-rated health (r = 0.25); and with less absenteeism (r = − 0.26), presenteeism (r = − 0.31), cognitive/neuropsychiatric impairment (r = − 0.35), depression (r = − 0.43), anxiety (r = − 0.31) and fatigue (r = − 0.34). Conclusions Workers with MS have a larger capability set than workers from the general population. In workers with MS a larger capability set was associated with better work and health outcomes. Trial registration This observational study is registered under NL43098.008.12: ‘Voorspellers van arbeidsparticipatie bij mensen met relapsing-remitting Multiple Sclerose’. The study is registered at the Dutch CCMO register (https://www.toetsingonline.nl). This study is approved by the METC Brabant, 12 February 2014. First participants are enrolled 1st of March 2014.
      PubDate: 2018-06-01
       
  • The impact of community-based health insurance on health-related quality
           of life and associated factors in Ethiopia: a comparative cross-sectional
           study

    • Abstract: Background Quality of life can be used to measure the effect of intervention on health related conditions. Health insurance contributes positive effect on availability of medical supplies and empowerment of women and children on financial healthcare. Therefore, the study was aimed to measure the impact of Community-Based Health Insurance on HRQoL and associated socio-demographic factors. Methods A comparative community based cross-sectional study was employed. Data was collected by trained enumerators using World Health Organization QoL-BREF tool from a sample of 1964 (982 CBHI insured and 982 un-insured) household heads selected by probability proportional to size. A descriptive summery, simple and multiple linear regression analysis was applied to describe the functional predictors of HRQoL. The study was ethically approved by IRB of Wolkite University. Results The HRQoL score among CBHI insured family heads was 63.02 and 58.92 for un-insured family heads. The overall variation in HRQoL was explained due to; separated marital condition which reduced the HRQoL by 4.30% than those living together [β = − 0.044, 95% CI (− 5.67, − 0.10)], daily laborer decreased HRQoL by 7.50% [β = − 0.078, 95% CI (− 12.91, − 4.10)], but employment increased by 5.65% than farmers [β = 0.055, 95% CI (2.58, 17.59)]. QoL increased by 6.4 and 6.93% among primary and secondary level educated household heads than those household heads who could not read and write [β = 0.062, 95% CI (0.75, 4.31)] and [β = 0.067, 95% CI (1.84, 7.99)], respectively. As family size increased by one households’ head, HRQoL decreased by 18.21% [β = − 0.201, 95% CI (− 2.55, − 1.63)], as wealth index increased by one unit, HRQoL decreased by 32.90% [β = − 0.306, 95% CI (− 5.15, − 3.86)] and QoL among CBHI insured household heads increased by 12.41% than those un-insured family heads [β = 0.117, 95% CI (2.98, 6.16)]. Conclusions The study revealed that significant difference in quality of life was found among the two groups; health insurance had positive effect on quality of life. Triggered, the government shall expand the scheme into other similar areas’ and further efforts should be made on the scheme service satisfaction to ensure its continuity.
      PubDate: 2018-05-31
       
  • Measurement properties of the Short Form-36 (SF-36) and the Functional
           Assessment of Cancer Therapy - Anemia (FACT-An) in patients with anemia
           associated with chronic kidney disease

    • Abstract: Background Anemia is a common and debilitating manifestation of chronic kidney disease (CKD). Data from two clinical trials in patients with anemia of CKD were used to assess the measurement properties of the Medical Outcomes Survey Short Form-36 version 2 (hereafter SF-36) and the Functional Assessment of Cancer Therapy-Anemia (FACT-An). The Vitality and Physical functioning domains of the SF-36 and the FACT-An Total, Fatigue and Anemia subscales were identified as domains relevant to CKD-associated anemia. Methods A total of 204 patients aged 18–80 years were included in the analyses that included internal consistency (Cronbach’s alpha), test-retest reliability (intraclass correlation coefficients [ICCs]), convergent and known-groups validity, responsiveness, and estimates of important change. Results Both the SF-36 and the FACT-An had strong psychometric properties with high internal consistency (Cronbach’s alpha: 0.69–0.93 and 0.79–0.95), and test-retest reliability (ICCs: 0.64–0.83 and 0.72–0.88). Convergent validity, measured by correlation coefficients between similar concepts in SF-36 and FACT-An, ranged from 0.52 to 0.77. Correlations with hemoglobin (Hb) levels were modest at baseline; by Week 9, the correlations with Hb were somewhat higher, r = 0.23 (p < 0.05) for SF-36 Vitality, r = 0.22 (p < 0.05) for FACT-An Total, r = 0.26 (p < 0.001) for FACT-Fatigue and r = 0.22 (p < 0.01) for Anemia. Correlations with Hb at Week 13/17 were r = 0.28 (p < 0.001) for SF-36 Vitality and r = 0.25 (p < 0.05) for Role Physical; FACT-An Total correlation was r = 0.33 (p < 0.0001), Anemia was r = 0.28 (p < 0.001), and Fatigue was r = 0.30 (p < 0.001). The SF-36 domains and Component Summary scores (p < 0.05–p < 0.0001) demonstrated ability to detect change. For the FACT-An, significant differences (p < 0.05–p < 0.0001) were observed between responder and non-responder change scores: important change score estimates ranged from 2 to 4 for Vitality and 2–3 for Physical functioning. Important change scores were also estimated for the FACT-An Total score (6–9), the Anemia (3–5), and Fatigue subscale (2–4). Conclusions Both the SF-36 Vitality and Physical function scales and the FACT-An Total, Fatigue and Anemia scales, are reliable and valid measures for assessing health-related quality of life in anemia associated with CKD.
      PubDate: 2018-05-31
       
  • Maternal predictors related to quality of life in pregnant women in the
           Northeast of Brazil

    • Abstract: Background Gestation is a period that can positively or negatively influence the life of a woman in the pregnancy-puerperal cycle. Thus, evaluating the quality of life of this population can redirect the implementation of innovative practices, with the goal of making them more effective and practical or the promotion of humanized care. The present study aimed to evaluate the predictors that influence the health-related quality of life of low-risk pregnant women, as well as to describe the main areas affected in the quality of life of pregnant women. Methods A correlational, quantitative and cross-sectional study was carried out in two public units that provide prenatal care services and a private unit in the city of Fortaleza, a municipality in the Northeast of Brazil. The sample consisted of 261 pregnant women who were interviewed from September to November 2014. The collection instruments were a questionnaire covering sociodemographic, obstetric and quality of life variables, in addition to the Brazilian version of the Mother-Generated Index (MGI). The data were compiled and analyzed through the Statistical Package for the Social Sciences (SPSS) software, version 20.0. A descriptive analysis was performed through the application of Pearson’s chi-square test, Fisher’s exact test and one-way ANOVA. Maternal predictors for the quality of life of pregnant woman were identified through a multivariate analysis/multiple regression. Results The response rate was 100%, corresponding to 261 respondents. Occupation, parity, partner support, marital status and persons with whom the women live were the predictors that positively interfered in the quality of life of pregnant women. In contrast, gestational age, type of housing, occupation, use of illicit drugs, non-receipt of partner support and maternal age were the predictors that negatively influenced quality of life. Conclusion Our results indicate that happiness to become a mother and body image were areas with the greatest positive and negative influence on health-related quality of life, which suggests being relevant aspects in the planning and implementation of actions aimed at its improvement.
      PubDate: 2018-05-31
       
  • Rasch analysis suggests that health assessment questionnaire II is a
           generic measure of physical functioning for rheumatic diseases: a
           cross-sectional study

    • Abstract: Background Versions of the Health Assessment Questionnaire (HAQ) are commonly used to measure physical functioning across multiple rheumatic diseases but there has been no clear demonstration that any HAQ version is actually generic. This study aimed to show that the HAQ-II instrument is invariant across different rheumatic disease categories using the Rasch measurement model, which would confirm that the instrument is generic. Methods HAQ-II responses from 882 consecutive rheumatology clinic attendees were fitted to a Rasch model. Invariance across disease was assessed by analysis of variance of residuals implemented in RUMM2030. Rasch modeled HAQ-II scores across disease categories were compared and the mathematical relationship between raw HAQ-II scores and Rasch modeled scores was also determined. Results The HAQ-II responses fitted the Rasch model. There was no substantive evidence for lack of invariance by disease category except for a single item (“opening car doors”). Rasch modeled scores could be accurately obtained from raw scores with a cubic formula (R2 0.99). Patients with rheumatoid arthritis had more disability than patients with other kinds of inflammatory arthritis or autoimmune connective tissue disease. Conclusions The HAQ-II can be used across different rheumatic diseases and scores can be similarly interpreted from patients with different diseases. Transforming raw scores to Rasch modeled scores enable a strictly linear, interval scale to be used. It remains to be seen how that would affect interpretation of change scores. Trial registration ANZCTR ACTRN12617001500347. Registered 24th October 2017 (retrospectively registered).
      PubDate: 2018-05-30
       
  • Predicting health-related quality of life (EQ-5D-5 L) and capability
           wellbeing (ICECAP-A) in the context of opiate dependence using routine
           clinical outcome measures: CORE-OM, LDQ and TOP

    • Abstract: Background Economic evaluation normally requires information to be collected on outcome improvement using utility values. This is often not collected during the treatment of substance use disorders making cost-effectiveness evaluations of therapy difficult. One potential solution is the use of mapping to generate utility values from clinical measures. This study develops and evaluates mapping algorithms that could be used to predict the EuroQol-5D (EQ-5D-5 L) and the ICEpop CAPability measure for Adults (ICECAP-A) from the three commonly used clinical measures; the CORE-OM, the LDQ and the TOP measures. Methods Models were estimated using pilot trial data of heroin users in opiate substitution treatment. In the trial the EQ-5D-5 L, ICECAP-A, CORE-OM, LDQ and TOP were administered at baseline, three and twelve month time intervals. Mapping was conducted using estimation and validation datasets. The normal estimation dataset, which comprised of baseline sample data, used ordinary least squares (OLS) and tobit regression methods. Data from the baseline and three month time periods were combined to create a pooled estimation dataset. Cluster and mixed regression methods were used to map from this dataset. Predictive accuracy of the models was assessed using the root mean square error (RMSE) and the mean absolute error (MAE). Algorithms were validated using sample data from the follow-up time periods. Results Mapping algorithms can be used to predict the ICECAP-A and the EQ-5D-5 L in the context of opiate dependence. Although both measures can be predicted, the ICECAP-A was better predicted by the clinical measures. There were no advantages of pooling the data. There were 6 chosen mapping algorithms, which had MAE scores ranging from 0.100 to 0.138 and RMSE scores ranging from 0.134 to 0.178. Conclusion It is possible to predict the scores of the ICECAP-A and the EQ-5D-5 L with the use of mapping. In the context of opiate dependence, these algorithms provide the possibility of generating utility values from clinical measures and thus enabling economic evaluation of alternative therapy options. Trial registration ISRCTN22608399. Date of registration: 27/04/2012. Date of first randomisation: 14/08/2012.
      PubDate: 2018-05-30
       
  • Lower health-related quality of life predicts all-cause hospitalization
           among HIV-infected individuals

    • Abstract: Background Health-related quality of life (HRQOL) is a patient-centered outcome measure used in assessing the individual’s overall functional health status but studies looking at HRQOL as a predictive tool are few. This work examines whether summary scores of HRQOL are predictive of all-cause hospitalization in the US Military HIV Natural History Study (NHS) cohort. Methods The Short Form 36 (SF-36) was administered between 2006 and 2010 to 1711 NHS cohort members whose hospitalization records we had also obtained. Physical component summary scores (PCSS) and mental component summary scores (MCSS) were computed based on standard algorithms. Terciles of PCSS and MCSS were generated with the upper terciles (higher HRQOL) as referent groups. Proportional hazards multivariate regression models were used to estimate the hazard of hospitalization for PCSS and MCSS separately (models 1 and 2, respectively) and combined (model 3). Results The hazard ratios (HR) of hospitalization were respectively 2.12 times (95% CI: 1.59–2.84) and 1.59 times (95% CI: 1.19–2.14) higher for the lower and middle terciles compared to the upper PCSS tercile. The HR of hospitalization was 1.33 times (95% CI: 1.02–1.73) higher for the lower compared to the upper MCSS tercile. Other predictors of hospitalization were CD4 count < 200 cells/mm3 (HR = 2.84, 95% CI: 1.96, 4.12), CD4 count 200–349 cells/mm3 (HR = 1.67, 95% CI: 1.24, 2.26), CD4 count 350–499 cells/mm3 (HR = 1.41, 95% CI: 1.09, 1.83), plasma viral load > 50 copies/mL (HR = 1.82, 95% CI: 1.46, 2.26), and yearly increment in duration of HIV infection (HR = 0.94, 95% CI: 0.93, 0.96) (model 3). Conclusion After controlling for factors associated with hospitalization among those with HIV, both PCSS and MCSS were predictive of all-cause hospitalization in the NHS cohort. HRQOL assessment using the SF-36 may be useful in stratifying hospitalization risk among HIV-infected populations.
      PubDate: 2018-05-30
       
  • Measuring outcomes of community aged care programs: challenges,
           opportunities and the Australian Community Outcomes Measurement ACCOM tool
           

    • Abstract: Measuring health and wellbeing outcomes of community aged care programs is a complex task given the diverse settings in which care takes place and the intersection of numerous factors affecting an individual’s quality of life outcomes. Knowledge of a strong causal relationship between services provided and the final outcome enables confidence in assuming the care provided was largely responsible for the outcome achieved (Courtney et al., Aust J Adv Nurs 26:49–57, 2009). The Department of Health has recently reported on the findings of The National Aged Care Quality Indicator Program – Home Care Pilot (KPMG, National Aged Care Quality Indicator Program – Home Care Pilot, 2017). The Program sought to test various tools to measure quality of life outcomes of their community aged care programs. Some of the key issues raised in the study reiterate the findings from The Australian Community Care Outcome Measurement (ACCOM) pilot study (Cardona et al., Australas J Ageing 36: 69–71, 2017), including the value of the ASCOT SCT4 tool (Adult Social care Outcomes Toolkit, http://www.pssru.ac.uk/ascot/downloads/questionnaires/sct4.pdf) to measure social care related quality of life (SCRQoL) in community aged care programs in the Australian context, the collection of additional data to map the relationship of various variables such as functional ability, demographic characteristics and quality of life scores and the governance and administration of measurement tools for the purpose of quality reporting and consumer choice.
      PubDate: 2018-05-29
       
  • Validation of two scales for measuring participation and perceived stigma
           in Chinese community-based rehabilitation programs

    • Abstract: Background The World Health Organization has asserted the importance of enhancing participation of people with disabilities within the International Classification of Functioning, Disability and Health framework. Participation is regarded as a vital outcome in community-based rehabilitation. The actualization of the right to participate is limited by social stigma and discrimination. To date, there is no validated instrument for use in Chinese communities to measure participation restriction or self-perceived stigma. This study aimed to translate and validate the Participation Scale and the Explanatory Model Interview Catalogue (EMIC) Stigma Scale for use in Chinese communities with people with physical disabilities. Methods The Chinese versions of the Participation Scale and the EMIC stigma scale were administered to 264 adults with physical disabilities. The two scales were examined separately. The reliability analysis was studied in conjunction with the construct validity. Reliability analysis was conducted to assess the internal consistency and item-total correlation. Exploratory factor analysis was conducted to investigate the latent patterns of relationships among variables. A Rasch model analysis was conducted to test the dimensionality, internal validity, item hierarchy, and scoring category structure of the two scales. Results Both the Participation Scale and the EMIC stigma scale were confirmed to have good internal consistency and high item-total correlation. Exploratory factor analysis revealed the factor structure of the two scales, which demonstrated the fitting of a pattern of variables within the studied construct. The Participation Scale was found to be multidimensional, whereas the EMIC stigma scale was confirmed to be unidimensional. The item hierarchies of the Participation Scale and the EMIC stigma scale were discussed and were regarded as compatible with the cultural characteristics of Chinese communities. Conclusion The Chinese versions of the Participation Scale and the EMIC stigma scale were thoroughly tested in this study to demonstrate their robustness and feasibility in measuring the participation restriction and perceived stigma of people with physical disabilities in Chinese communities. This is crucial as it provides valid measurements to enable comprehensive understanding and assessment of the participation and stigma among people with physical disabilities in Chinese communities.
      PubDate: 2018-05-29
       
  • Health promoting lifestyles and influencing factors among empty nesters
           and non-empty nesters in Taiyuan, China: a cross-sectional study

    • Abstract: Background In China, the problems of population aging and empty nesting have become important issues which will affect the social stability and economic development. The aim of this study was to explore the health promoting lifestyles and influencing factors among empty nesters and compare with non-empty nesters to find out their differences, so as to provide a scientific evidence for people to formulate health management strategies for elderly. Methods A cross-sectional survey which used a stratified random cluster sampling method, was conducted among 500 elders in six districts of Taiyuan, China, there were 288 empty nesters and 212 non-empty nesters. The general information and health- promoting lifestyles were investigated by using the self-made General Information Questionnaire and Health Promoting Lifestyle Scale(HPLP). Two-sample t-test and Chi-square test were used to compare the sociodemographic factors, HPLP scores of empty nesters to non-empty nesters; Multiple stepwise linear regression was performed to estimate influencing factors related to the HPLP of empty nesters and non-empty nesters. Results The current findings showed that there were differences between the empty nesters and non-empty nesters in gender, resident, marital status, education and income, self-care ability, source of income, relationship with spouse and social activities (P < 0.05). Empty nesters were mostly male, married, had a higher education level, self-care ability and income and lived in urban compared with non-empty nesters. The health promoting lifestyles of the elderly in this survey were in the medium level, the highest score for all dimensions in both groups was in nutrition, whereas health responsibility was executed worst. The HPLP and six subscales scores of the empty nesters were higher than non-empty nesters, there were significant differences in total score of HPLP, self-realization and health responsibility (P < 0.01). Multiple regression analysis showed that the main predictive factors for the empty nesters were education, self-care ability and resident, whereas the main predictive factors for the non-empty nesters were parents-child relationship, source of income and age; social activity was the common factor for two group. Conclusion The health promoting lifestyles of the empty nesters was better than that of the non-empty nesters. Health responsibility, interpersonal relations and stress management were key dimensions to be improved. Except social activity, education, self-care ability and resident were the unique influencing factors of health-promoting lifestyles for empty nesters, while the parents-child relationship, income and age were unique factors for non-empty nesters. The main target of Intervention strategy for elderly health promoting lifestyles should be the enhance of health responsibility, interpersonal relations and stress management by improving social activities, parent-child relationship, education and income of elderly.
      PubDate: 2018-05-25
       
  • Longitudinal construct validity of the minimum data set health status
           index

    • Abstract: Background The Minimum Data Set Health Status Index (MDS-HSI) is a generic, preference-based health-related quality of life (HRQOL) measure derived by mapping items from the Resident Assessment Instrument – Minimum Data Set (RAI-MDS) assessment onto the Health Utilities Index Mark 2 classification system. While the validity of the MDS-HSI has been examined in cross-sectional settings, the longitudinal validity has not been explored. The objective of this study was to investigate the longitudinal construct validity of the MDS-HSI in a home care population. Methods This study utilized a retrospective cohort of home care patients in the Hamilton-Niagara-Haldimand-Brant health region of Ontario, Canada with at least two RAI-MDS Home Care assessments between January 2010 and December 2014. Convergent validity was assessed by calculating Spearman rank correlations between the change in MDS-HSI and changes in six validated indices of health domains that can be calculated from the RAI-MDS assessment. Known-groups validity was investigated by fitting multivariable linear regression models to estimate the mean change in MDS-HSI associated with clinically important changes in the six health domain indices and 15 disease symptoms from the RAI-MDS Home Care assessment, controlling for age and sex. Results The cohort contained 25,182 patients with two RAI-MDS Home Care assessments. Spearman correlations between the MDS-HSI change and changes in the health domain indices were all statistically significant and in the hypothesized small to moderate range [0.1 < ρ < 0.5]. Clinically important changes in all of the health domain indices and 13 of the 15 disease symptoms were significantly associated with clinically important changes in the MDS-HSI. Conclusions The findings of this study support the longitudinal construct validity of the MDS-HSI in home care populations. In addition to evaluating changes in HRQOL among home care patients in clinical research, economic evaluation, and health technology assessment, the MDS-HSI may be used in system-level applications using routinely collected population-level data.
      PubDate: 2018-05-24
       
  • Consistency of health-related quality of life among people living with
           HIV: Latent statetrait analysis

    • Abstract: Background The aim of this longitudinal study was to examine the consistency of health-related quality of life (HRQoL) among people living with HIV (PLWH) by breaking down the variance of repeated HRQoL measures into trait, state, and method components and to test the stability of HRQoL over time. In addition, we wanted to examine whether HRQoL trait components are related to personality traits, while controlling for selected socio-medical variables. Methods Three assessments were performed with a six-month lag on each assessment. Each participant filled out a World Health Organization (WHO) Quality of Life-BREF to assess HRQoL and a NEO-FFI to measure Big Five personality traits. Overall, 82 participants out of 141 (58.2% of the initial sample) participated in all the assessments. Results The HRQoL among PLWH represented a stable trait to a somewhat greater extent than a situational variability, although the proportions were domain and time variant. More specifically, psychological domain appeared to be the most consistent, whereas social domain appeared to be the most prone to situational influences. The trait component of HRQoL was positively related to being in a relationship, being employed, and being extraverted, and negatively related to neuroticism, which altogether explained 26% of the trait variance. Conclusions HRQoL among PLWH is rather distinct from personality and socio-medical data, which indicates its uniqueness in a clinical practise. Thus, there is a need for a more comprehensive assessment of HRQoL among this patient group to capture an additional source of variance in this important theoretical construct.
      PubDate: 2018-05-24
       
  • Relationships among medication adherence, lifestyle modification, and
           health-related quality of life in patients with acute myocardial
           infarction: a cross-sectional study

    • Abstract: Background The healthy adherer effect is a phenomenon in which patients who adhere to medical therapies tend to pursue health-seeking behaviors. Although the healthy adherer effect is supposed to affect health outcomes in patients with coronary artery disease, evaluation of its presence and extent is not easy. This study aimed to assess the relationship between medication adherence and lifestyle modifications and health-related quality of life among post-acute myocardial infarction (AMI) patients. Methods A cross-sectional study was conducted in 417 post-AMI patients who underwent percutaneous coronary intervention (PCI). Patients were recruited from 11 university hospitals from December 2015 to March 2016 in South Korea. Details regarding socio-demographic factors, six health behaviors (low-salt intake, low-fat diet and/or weight-loss diet, regular exercise, stress reduction in daily life, drinking in moderation, and smoking cessation), medication adherence using the Modified Morisky Scale (MMS), and HRQoL using the Coronary Revascularization Outcome Questionnaire (CROQ) were surveyed in a one-on-one interview. Results In the univariate logistic analysis, sex (female), age (≥70 years), MMS score (≥5), and CROQ score were associated with adherence to lifestyle modification. In the multiple logistic analysis, a high MMS score (≥5) was associated with adherence to lifestyle modification after adjusting for sex, age, marital status, education, and family income (adjusted odds ratio [OR] = 11.7, 95% confidence interval [CI] = 1.5–91.3). After further adjusting for the CROQ score, the association between high MMS score and adherence to lifestyle modification was significant (adjusted OR = 11.5, 95% CI = 1.4–93.3). Conclusions Adherence to medication was associated with adherence to lifestyle modification, suggesting the possible presence of the healthy adherer effect in post-AMI patients. After further adjusting for HRQoL, the association remained. To improve health outcome in post-AMI patients, early detection of patients with poor adherence to medication and lifestyle modification and motivational education programs to improve adherence are important. In addition, the healthy adherer effect should be considered in clinical research, in particular, in studies evaluating the effects of therapies on health outcomes.
      PubDate: 2018-05-22
       
  • Socio-demographic factors, dental status and health-related behaviors
           associated with geriatric oral health-related quality of life in
           Southwestern China

    • Abstract: Background The aging of Chinese society has increased interest in improving the health-related quality of life (HRQoL) of the elderly, including their oral health-related quality of life (OHRQoL). This study aims to evaluate the OHRQoL of elders living in Sichuan Province (China) and to explore the explanatory factors of their OHRQoL. Methods A cross-sectional study conducted in 2016 in the Sichuan Province analyzed data from 744 elders, aged 65 to 74 years (mean age 69.3, 51.3% female). Clinical examinations and questionnaires were completed to collect information on the participants’ socio-demographic characteristics, health-related behaviors, dental status, subjective health conditions and General Oral Health Assessment Index (GOHAI) score. Results The mean GOHAI score was 48.23 (SD 7.62), and the median score was 49. After adjustment for age and gender, the multiple linear regression analysis showed that participants who were female, had fair or poor self-rated oral health, decayed, missing and filled teeth (DMFT) score ≥ 20, fair or poor self-rated general health, and ≥ 2 teeth with root caries had worse OHRQoL, and participants who were edentulous had better OHRQoL (F = 29.58, p < 0.001). Conclusion The OHRQoL of the elders living in Sichuan Province was relatively good. The explanatory variables were gender; self-rated oral health; DMFT score; self-rated general health; number of natural teeth; and number of teeth with root caries. More attention should be paid to caries status and retention of healthy teeth to improve the OHRQoL of elders in Sichuan Province, preserving a healthy mouth contributes to better OHRQoL.
      PubDate: 2018-05-21
       
  • Systematic literature review and assessment of patient-reported outcome
           instruments in sickle cell disease

    • Abstract: Background Sickle cell disease (SCD) is a chronic condition associated with high mortality and morbidity. It is characterized by acute clinical symptoms such as painful vaso-occlusive crises, which can impair health-related quality of life (HRQL). This study was conducted to identify validated patient-reported outcome (PRO) instruments for use in future trials of potential treatments for SCD. Methods A systematic literature review (SLR) was performed using MEDLINE and EMBASE to identify United States (US)-based studies published in English between 1997 and 2017 that reported on validated PRO instruments used in randomized controlled trials and real-world settings. The COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) checklist was used to assess the quality of PRO instruments. Results The SLR included 21 studies assessing the psychometric properties of 24 PRO instruments. Fifteen of those instruments were developed and validated for adults and 10 for children (one instrument was used in both children and young adults aged up to 21 years). Only five of the 15 adult instruments and three of the 10 pediatric instruments were developed specifically for SCD. For most instruments, there were few or no data on validation conducted in SCD development cohorts. Of the 24 PRO instruments identified, 16 had strong internal reliability (Cronbach’s α ≥0.80). There was often insufficient information to assess the content validity, construct validity, responsiveness, or test-retest reliability of the instruments identified for both child and adult populations. No validated PRO instruments measuring caregiver burden in SCD were identified. Conclusions The evidence on the psychometric properties of PRO instruments was limited. However, the results of this SLR provide key information on such tools to help inform the design of future clinical trials for patients with SCD in the US.
      PubDate: 2018-05-21
       
  • Measuring bothersome menopausal symptoms: development and validation of
           the MenoScores questionnaire

    • Abstract: Background The experience of menopausal symptoms is common and an adequate patient-reported outcome measure is crucial in studies where women are treated for these symptoms. The aims of this study were to identify a patient-reported outcome measure for bothersome menopausal symptoms and, in the absence of an adequate tool, to develop a new measure with high content validity, and to validate it using modern psychometric methods. Methods The literature was reviewed for existing questionnaires and checklists for bothersome menopausal symptoms. Relevant items were extracted and subsequently tested in group interviews, single interviews, and pilot tests. A patient-reported outcome measure was drafted and completed by 1504 women. Data was collected and psychometrically validated using item-response theory Rasch Models. Results All questionnaires identified in the literature lacked content validity regarding bothersome menopausal symptoms and none were validated using item-response theory. Our content validation resulted in a draft measurement encompassing 122 items across eight domains. Following psychometrical validation, the final version of our patient-reported outcome measure, named the MenoScores Questionnaire, encompassed 51 items, including one single item, covering 11 scales. Conclusion Menopausal symptoms are multidimensional with some symptoms unquestionably related to the menopausal transition. We identified four constructs of importance: hot flushes, day-and-night sweats, general sweating, and menopausal-specific sleeping problems. The MenoScores Questionnaire is condition-specific with high content validity and adequate psychometrical properties. It is designed to measure bothersome menopausal symptoms and all scales are developed and psychometrically validated using item-response theory Rasch Models. Trial registration Approved by the Danish Data Agency (J.nr. 2015–41-4057). Ethics Committee approval was not required.
      PubDate: 2018-05-16
       
 
 
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