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Indian Journal of Public Health 2023Cancer-related fatigue (CRF) is a common symptom experienced by all the cancer patients at all stages of the disease and in survivors. Fatigue from cancer is one of the... (Review)
Review
Cancer-related fatigue (CRF) is a common symptom experienced by all the cancer patients at all stages of the disease and in survivors. Fatigue from cancer is one of the understated, underestimated, and least managed. Several scales have been developed to measure CRF, but they vary in the quality of psychometric properties, ease of administration, and dimensions of CRF. This systematic review explores the validity and reliability of the different CRF measurement scales. A systematic review methodology was followed to identify the scales that have been validated to measure CRF. Three separate databases PubMed, CINAHL, and Google Scholar searches were performed using different medical subject heading terms. Articles were analyzed for validity and reliability. A total of 1294 articles from three different searches identified 15 scales (unidimensional and multidimensional). Each scale varied by its psychometric properties, items, scale type, dimension, site of cancer, and population in which it is validated. Most of the scales had been validated in mixed cancer populations. Some scales are insensitive to differences in fatigue to cancer stages. Few scales are burdensome for the advanced cancer patients. In this study, 15 CRF scales were identified. Validity and reliability are varied by each questionnaire. The ideal and accepted item numbers, scale, and domains are not established. The psychometric properties of each measure require further consideration. More studies are needed to explore fatigue scales with many populations.
Topics: Humans; Reproducibility of Results; India; Neoplasms; Surveys and Questionnaires; Fatigue
PubMed: 37929389
DOI: 10.4103/ijph.ijph_1025_22 -
Nutrients Sep 2016Nutrition knowledge can influence dietary choices and impact on athletic performance. Valid and reliable measures are needed to assess the nutrition knowledge of... (Review)
Review
CONTEXT
Nutrition knowledge can influence dietary choices and impact on athletic performance. Valid and reliable measures are needed to assess the nutrition knowledge of athletes and coaches.
OBJECTIVES
(1) To systematically review the published literature on nutrition knowledge of adult athletes and coaches and (2) to assess the quality of measures used to assess nutrition knowledge.
DATA SOURCES
MEDLINE, CINAHL, SPORTDiscuss, Web of Science, and SCOPUS.
STUDY SELECTION
36 studies that provided a quantitative measure of nutrition knowledge and described the measurement tool that was used were included.
DATA EXTRACTION
Participant description, questionnaire description, results (mean correct and responses to individual items), study quality, and questionnaire quality.
DATA SYNTHESIS
All studies were of neutral quality. Tools used to measure knowledge did not consider health literacy, were outdated with regards to consensus recommendations, and lacked appropriate and adequate validation. The current status of nutrition knowledge in athletes and coaches is difficult to ascertain. Gaps in knowledge also remain unclear, but it is likely that energy density, the need for supplementation, and the role of protein are frequently misunderstood.
CONCLUSIONS
Previous reports of nutrition knowledge need to be interpreted with caution. A new, universal, up-to-date, validated measure of general and sports nutrition knowledge is required to allow for assessment of nutrition knowledge.
Topics: Athletes; Athletic Performance; Choice Behavior; Databases, Factual; Diet; Dietary Supplements; Food Preferences; Health Knowledge, Attitudes, Practice; Humans; Randomized Controlled Trials as Topic; Risk Assessment; Sports; Sports Nutritional Physiological Phenomena
PubMed: 27649242
DOI: 10.3390/nu8090570 -
Journal of Research in Medical Sciences... 2021Food frequency questionnaires (FFQs) are inexpensive, easy to administer, and practical tools for dietary assessment in epidemiological studies. Several studies have... (Review)
Review
BACKGROUND
Food frequency questionnaires (FFQs) are inexpensive, easy to administer, and practical tools for dietary assessment in epidemiological studies. Several studies have investigated the validity and reproducibility of FFQs for the Iranian population. This systematic review aimed to assess the developed and validated FFQs for use in the Iranian population and compare their features and the validation studies in this regard.
MATERIALS AND METHODS
A comprehensive search was conducted in ISI Web of Knowledge, PubMed, Scopus, and Iranian databases without time constraints to retrieve the relevant English and non-English publications. Studies would be included if they were focused on the design and validation of FFQs in Iran.
RESULTS
In total, 782 articles were found, 22 of which met the eligibility criteria and evaluated 18 FFQs. Validation studies had been conducted on 18 out of 20 FFQs. The median of the correlation coefficients for the comparison of the FFQ intakes and the dietary reference method by nutrients varied within the range of 0.19-0.65, indicating reasonable validity. The median of the correlation coefficients for the comparison of two FFQs by nutrients was 0.28-0.85, showing appropriate reproducibility. However, low validity was observed in some nutrients and food groups, such as egg, legumes, iron, folate, and α-tocopherol. In seven studies, biomarkers were used for the assessment of nutrient intake using an FFQ with the median correlation coefficient of -0.07-0.42. In addition, the quality of methodology was evaluated in the FFQ validation studies, with 18 out of 20 studies reporting good and excellent quality.
CONCLUSION
Although the FFQs used to assess the dietary intake of the Iranian population have different features, they have acceptable validity and reproducibility. Nevertheless, some food groups and nutrients have poor validity and must be considered attentively.
PubMed: 34484382
DOI: 10.4103/jrms.JRMS_652_20 -
The Cochrane Database of Systematic... Jun 2023Dementia, a global health priority, has no current cure. Around 50 million people worldwide currently live with dementia, and this number is expected to treble by 2050.... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Dementia, a global health priority, has no current cure. Around 50 million people worldwide currently live with dementia, and this number is expected to treble by 2050. Some health conditions and lifestyle behaviours can increase or decrease the risk of dementia and are known as 'predictors'. Prognostic models combine such predictors to measure the risk of future dementia. Models that can accurately predict future dementia would help clinicians select high-risk adults in middle age and implement targeted risk reduction.
OBJECTIVES
Our primary objective was to identify multi-domain prognostic models used in middle-aged adults (aged 45 to 65 years) for predicting dementia or cognitive impairment. Eligible multi-domain prognostic models involved two or more of the modifiable dementia predictors identified in a 2020 Lancet Commission report and a 2019 World Health Organization (WHO) report (less education, hearing loss, traumatic brain injury, hypertension, excessive alcohol intake, obesity, smoking, depression, social isolation, physical inactivity, diabetes mellitus, air pollution, poor diet, and cognitive inactivity). Our secondary objectives were to summarise the prognostic models, to appraise their predictive accuracy (discrimination and calibration) as reported in the development and validation studies, and to identify the implications of using dementia prognostic models for the management of people at a higher risk for future dementia.
SEARCH METHODS
We searched MEDLINE, Embase, PsycINFO, CINAHL, and ISI Web of Science Core Collection from inception until 6 June 2022. We performed forwards and backwards citation tracking of included studies using the Web of Science platform. SELECTION CRITERIA: We included development and validation studies of multi-domain prognostic models. The minimum eligible follow-up was five years. Our primary outcome was an incident clinical diagnosis of dementia based on validated diagnostic criteria, and our secondary outcome was dementia or cognitive impairment determined by any other method.
DATA COLLECTION AND ANALYSIS
Two review authors independently screened the references, extracted data using a template based on the CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies (CHARMS), and assessed risk of bias and applicability of included studies using the Prediction model Risk Of Bias ASsessment Tool (PROBAST). We synthesised the C-statistics of models that had been externally validated in at least three comparable studies. MAIN RESULTS: We identified 20 eligible studies; eight were development studies and 12 were validation studies. There were 14 unique prognostic models: seven models with validation studies and seven models with development-only studies. The models included a median of nine predictors (range 6 to 34); the median number of modifiable predictors was five (range 2 to 11). The most common modifiable predictors in externally validated models were diabetes, hypertension, smoking, physical activity, and obesity. In development-only models, the most common modifiable predictors were obesity, diabetes, hypertension, and smoking. No models included hearing loss or air pollution as predictors. Nineteen studies had a high risk of bias according to the PROBAST assessment, mainly because of inappropriate analysis methods, particularly lack of reported calibration measures. Applicability concerns were low for 12 studies, as their population, predictors, and outcomes were consistent with those of interest for this review. Applicability concerns were high for nine studies, as they lacked baseline cognitive screening or excluded an age group within the range of 45 to 65 years. Only one model, Cardiovascular Risk Factors, Ageing, and Dementia (CAIDE), had been externally validated in multiple studies, allowing for meta-analysis. The CAIDE model included eight predictors (four modifiable predictors): age, education, sex, systolic blood pressure, body mass index (BMI), total cholesterol, physical activity and APOEƐ4 status. Overall, our confidence in the prediction accuracy of CAIDE was very low; our main reasons for downgrading the certainty of the evidence were high risk of bias across all the studies, high concern of applicability, non-overlapping confidence intervals (CIs), and a high degree of heterogeneity. The summary C-statistic was 0.71 (95% CI 0.66 to 0.76; 3 studies; very low-certainty evidence) for the incident clinical diagnosis of dementia, and 0.67 (95% CI 0.61 to 0.73; 3 studies; very low-certainty evidence) for dementia or cognitive impairment based on cognitive scores. Meta-analysis of calibration measures was not possible, as few studies provided these data.
AUTHORS' CONCLUSIONS
We identified 14 unique multi-domain prognostic models used in middle-aged adults for predicting subsequent dementia. Diabetes, hypertension, obesity, and smoking were the most common modifiable risk factors used as predictors in the models. We performed meta-analyses of C-statistics for one model (CAIDE), but the summary values were unreliable. Owing to lack of data, we were unable to meta-analyse the calibration measures of CAIDE. This review highlights the need for further robust external validations of multi-domain prognostic models for predicting future risk of dementia in middle-aged adults.
Topics: Humans; Middle Aged; Cognitive Dysfunction; Dementia; Hypertension; Obesity; Prognosis
PubMed: 37265424
DOI: 10.1002/14651858.CD014885.pub2 -
Global Mental Health (Cambridge,... 2023Implementing culturally sensitive psychometric measures of depression may be an effective strategy to improve acceptance, response rate, and reliability of psychological... (Review)
Review
BACKGROUND
Implementing culturally sensitive psychometric measures of depression may be an effective strategy to improve acceptance, response rate, and reliability of psychological assessment among Indigenous populations. However, the psychometric properties of depression scales after cultural adaptation remain unclear.
METHODS
We screened the Ovid Medline, PubMed, Embase, Global Health, PsycInfo, and CINAHL databases through three levels of search terms: Depression, Psychometrics, and Indigenous, following the PRISMA guidelines. We assessed metrics for reliability (including Cronbach's alpha), validity (including fit indices), and clinical utility (including predictive value).
RESULTS
Across 31 studies included the review, 13 different depression scales were adapted through language or content modification. Sample populations included Indigenous from the Americas, Asia, Africa, and Oceania. Most cultural adaptations had strong psychometric properties; however, few and inconsistent properties were reported. Where available, alphas, inter-rater and test-retest reliability, construct validity, and incremental validity often indicated increased cultural sensitivity of adapted scales. There were mixed results for clinical utility, criterion validity, cross-cultural validity, sensitivity, specificity, area under the receiver operating characteristic curve, predictive value, and likelihood ratio.
CONCLUSIONS
Modifications to increase cultural relevance have the potential to improve fit and acceptance of a scale by the Indigenous population, however, these changes may decrease specificity and negative predictive value. There is an urgent need for suitable tools that are useful and reliable for identifying Indigenous individuals for clinical treatment of depression. This awaits future work for optimal specificity and validated cut-off points that take into account the high prevalence of depression in these populations.
PubMed: 37854390
DOI: 10.1017/gmh.2023.52 -
The Milbank Quarterly Dec 2016Policy Points: Investigations on systematic methodologies for measuring integrated care should coincide with the growing interest in this field of research. A systematic... (Review)
Review
UNLABELLED
Policy Points: Investigations on systematic methodologies for measuring integrated care should coincide with the growing interest in this field of research. A systematic review of instruments provides insights into integrated care measurement, including setting the research agenda for validating available instruments and informing the decision to develop new ones. This study is the first systematic review of instruments measuring integrated care with an evidence synthesis of the measurement properties. We found 209 index instruments measuring different constructs related to integrated care; the strength of evidence on the adequacy of the majority of their measurement properties remained largely unassessed.
CONTEXT
Integrated care is an important strategy for increasing health system performance. Despite its growing significance, detailed evidence on the measurement properties of integrated care instruments remains vague and limited. Our systematic review aims to provide evidence on the state of the art in measuring integrated care.
METHODS
Our comprehensive systematic review framework builds on the Rainbow Model for Integrated Care (RMIC). We searched MEDLINE/PubMed for published articles on the measurement properties of instruments measuring integrated care and identified eligible articles using a standard set of selection criteria. We assessed the methodological quality of every validation study reported using the COSMIN checklist and extracted data on study and instrument characteristics. We also evaluated the measurement properties of each examined instrument per validation study and provided a best evidence synthesis on the adequacy of measurement properties of the index instruments.
FINDINGS
From the 300 eligible articles, we assessed the methodological quality of 379 validation studies from which we identified 209 index instruments measuring integrated care constructs. The majority of studies reported on instruments measuring constructs related to care integration (33%) and patient-centered care (49%); fewer studies measured care continuity/comprehensive care (15%) and care coordination/case management (3%). We mapped 84% of the measured constructs to the clinical integration domain of the RMIC, with fewer constructs related to the domains of professional (3.7%), organizational (3.4%), and functional (0.5%) integration. Only 8% of the instruments were mapped to a combination of domains; none were mapped exclusively to the system or normative integration domains. The majority of instruments were administered to either patients (60%) or health care providers (20%). Of the measurement properties, responsiveness (4%), measurement error (7%), and criterion (12%) and cross-cultural validity (14%) were less commonly reported. We found <50% of the validation studies to be of good or excellent quality for any of the measurement properties. Only a minority of index instruments showed strong evidence of positive findings for internal consistency (15%), content validity (19%), and structural validity (7%); with moderate evidence of positive findings for internal consistency (14%) and construct validity (14%).
CONCLUSIONS
Our results suggest that the quality of measurement properties of instruments measuring integrated care is in need of improvement with the less-studied constructs and domains to become part of newly developed instruments.
Topics: Continuity of Patient Care; Delivery of Health Care, Integrated; Quality Indicators, Health Care
PubMed: 27995711
DOI: 10.1111/1468-0009.12233 -
BMC Psychiatry Oct 2014Administrative data are increasingly used to conduct research on depression and inform health services and health policy. Depression surveillance using administrative... (Review)
Review
BACKGROUND
Administrative data are increasingly used to conduct research on depression and inform health services and health policy. Depression surveillance using administrative data is an alternative to surveys, which can be more resource-intensive. The objectives of this study were to: (1) systematically review the literature on validated case definitions to identify depression using International Classification of Disease and Related Health Problems (ICD) codes in administrative data and (2) identify individuals with and without depression in administrative data and develop an enhanced case definition to identify persons with depression in ICD-coded hospital data.
METHODS
(1) Systematic review: We identified validation studies using ICD codes to indicate depression in administrative data up to January 2013. (2) VALIDATION: All depression case definitions from the literature and an additional three ICD-9-CM and three ICD-10 enhanced definitions were tested in an inpatient database. The diagnostic accuracy of all case definitions was calculated [sensitivity (Se), specificity (Sp), positive predictive value (PPV) and negative predictive value (NPV)].
RESULTS
(1) Systematic review: Of 2,014 abstracts identified, 36 underwent full-text review and three met eligibility criteria. These depression studies used ICD-9 and ICD-10 case definitions. (2) VALIDATION: 4,008 randomly selected medical charts were reviewed to assess the performance of new and previously published depression-related ICD case definitions. All newly tested case definitions resulted in Sp >99%, PPV >89% and NPV >91%. Sensitivities were low (28-35%), but higher than for case definitions identified in the literature (1.1-29.6%).
CONCLUSIONS
Validating ICD-coded data for depression is important due to variation in coding practices across jurisdictions. The most suitable case definitions for detecting depression in administrative data vary depending on the context. For surveillance purposes, the most inclusive ICD-9 & ICD-10 case definitions resulted in PPVs of 89.7% and 89.5%, respectively. In cases where diagnostic certainty is required, the least inclusive ICD-9 and -10 case definitions are recommended, resulting in PPVs of 92.0% and 91.1%. All proposed case definitions resulted in suboptimal levels of sensitivity (ranging from 28.9%-35.6%). The addition of outpatient data (such as pharmacy records) for depression surveillance is recommended and should result in improved measures of validity.
Topics: Databases, Factual; Depression; Depressive Disorder; Humans; International Classification of Diseases; Sensitivity and Specificity
PubMed: 25322690
DOI: 10.1186/s12888-014-0289-5 -
The International Journal of Behavioral... Feb 2022Accurate proxy-report questionnaires, adapted to the child's developmental stage, are required to monitor 24-h movement behaviors in young children, especially for large... (Review)
Review
BACKGROUND
Accurate proxy-report questionnaires, adapted to the child's developmental stage, are required to monitor 24-h movement behaviors in young children, especially for large samples and low-resource settings.
OBJECTIVES
This review aimed to summarize available studies evaluating measurement properties of proxy-report questionnaires assessing physical activity, sedentary behavior and/or sleep in children aged 0-5 years.
METHODS
Systematic literature searches were carried out in the PubMed, Embase and SPORTDiscus databases, up to January 2021. For physical activity and sedentary behavior questionnaires this is a review update, whereas for sleep questionnaires we included all relevant studies published up to now. Studies had to evaluate at least one of the measurement properties of a proxy-report questionnaire assessing at least duration and/or frequency of physical activity, sedentary behavior and/or sleep in 0- to 5-year-old children. The COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) guideline was used to evaluate the quality of evidence.
RESULTS
Thirty-three studies were included, examining a total of 37 questionnaires. Ten questionnaires were designed for infants, two for toddlers, 11 for preschoolers, and 14 for a broader age range targeting multiple of these age groups. Twenty questionnaires assessed constructs of sleep, four assessed constructs of physical activity, two assessed screen behavior, five assessed constructs of both physical activity and sedentary behavior, and six assessed constructs of all 24-h movement behaviors. Content validity was evaluated for six questionnaires, structural validity for two, internal consistency for three, test-retest reliability for 16, measurement error for one, criterion validity for one, and construct validity for 26 questionnaires. None of the questionnaires were considered sufficiently valid and/or reliable for assessing one or more movement behaviors in 0- to 5-year-old children, and the quality of evidence was mostly low or very low.
CONCLUSIONS
Valid and/or reliable questionnaires assessing 24-h movement behaviors in 0- to 5-year-olds are lacking. High-quality studies are therefore required, to develop proxy-report questionnaires and evaluate their measurement properties.
PROSPERO REGISTRATION NUMBER
CRD42020169268.
Topics: Child, Preschool; Exercise; Humans; Infant; Infant, Newborn; Reproducibility of Results; Sedentary Behavior; Sleep; Surveys and Questionnaires
PubMed: 35164783
DOI: 10.1186/s12966-022-01251-x -
Journal of the American Pharmacists... 2023Clinician recognition of nonadherence is generally low. Tools that clinicians have used to assess medication adherence are self-reported adherence instruments that ask... (Review)
Review
BACKGROUND
Clinician recognition of nonadherence is generally low. Tools that clinicians have used to assess medication adherence are self-reported adherence instruments that ask patients questions about their medication use experience. There is a need for more structured reviews that help clinicians comprehensively distinguish which tool might be most useful and valuable for their clinical setting and patient populations.
OBJECTIVES
This systematic review aimed to (1) identify validated, self-reported medication adherence tools that are applicable to the primary care setting and (2) summarize selected features of the tools as an assessment of clinical feasibility and applicability.
METHODS
The investigators systematically reviewed MEDLINE via Ovid, Embase via Ovid, International Pharmaceutical Abstracts, and CINAHL from inception to December 1, 2020. Investigators independently screened 3394 citations, identifying 43 articles describing validation parameters for 25 unique adherence tools. After screening each tool, 17 tools met the inclusion criteria and were qualitatively summarized.
RESULTS
Findings highlight 25 various tool characteristics (i.e., descriptions, parameters and diseases, measures and validity comparators, and other information), which clinicians might consider when selecting a self-reported adherence tool with strong measurement validity that is practical to administer to patients. There was much variability about the nature and extent of adherence measurement. Considerable variation was noted in the objective measures used to correlate to the self-reported tools' measurements. There were wide ranges of correlation between self-reported and objective measures. Several included tools had relatively low to moderate criterion validities. Many manuscripts did not describe whether tools were associated with costs, had copyrights, and were available in other languages; how much time was required for patients to complete self-report tools; and whether patient input informed tool development.
CONCLUSION
There is a critical need to ensure that adherence tool developers establish a key list of tool characteristics to report to help clinicians and researchers make practical comparisons among tools.
Topics: Humans; Self Report; Medication Adherence; Language; Primary Health Care
PubMed: 36372640
DOI: 10.1016/j.japh.2022.09.007 -
Forensic Science International Nov 2021Blood-drop trajectory analysis can provide investigators with retrospective information regarding the spatial positioning of an injured person. To assist with bloodstain... (Review)
Review
Blood-drop trajectory analysis can provide investigators with retrospective information regarding the spatial positioning of an injured person. To assist with bloodstain pattern analysis, various commercially available software have been developed and deployed. A systematic review was conducted to understand the extent of experimental validation and applications of blood-drop trajectory analysis software to case work. Ninety-two sources between 1987 and 2020 were identified including peer-reviewed studies and commercial websites. Thirty-four of these were validation studies, of which, only two involved impact patterns generated from greater than 1 m from the main target surface. Fifteen software were identified during this review with six documented to have been applied in casework. The reviewed software do not appear to fully satisfy relevant forensic validation criteria, based on publicly available literature. In some cases, software underwent limited experimental validation prior to real-world application with subsequent references to this in later literature. This review provides forensic investigators and bloodstain pattern analysts with a comprehensive overview of all available software options, knowledge of the extent of research into validating these techniques and highlights documented applications of these software in criminal cases.
Topics: Blood Stains; Forensic Medicine; Humans; Retrospective Studies; Software
PubMed: 34571247
DOI: 10.1016/j.forsciint.2021.110992