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Experimental Studies of Inter-Rater Agreement in Traditional Chinese Medicine: A Systematic Review.

ABSTRACT: Objectives: It has been recommended that clinical trials of Traditional Chinese Medicine (TCM) would be more ecologically valid if its characteristic mode of diagnostic reasoning were integrated into their design. In that context, however, it is also widely held that demonstrating a high level of agreement on initial TCM diagnoses is necessary for the replicability that the biomedical paradigm requires for the conclusions from such trials. Our aim was to review, summarize, and critique quantitative experimental studies of inter-rater agreement in TCM, and some of their underlying assumptions. Design: Systematic electronic searches were conducted for articles that reported a quantitative measure of inter-rater agreement across a number of rating choices based on examinations of human subjects in person by TCM practitioners, and published in English language peer-reviewed journals. Publications in languages other than English were not included, nor those appearing in other than peer-reviewed journals. Predefined categories of information were extracted from full texts by two investigators working independently. Each article was scored for methodological quality. Outcome measures: Design features across all studies and levels of inter-rater agreement across studies that reported the same type of outcome statistic were compared. Results: Twenty-one articles met inclusion criteria. Fourteen assessed inter-rater agreement on TCM diagnoses, two on diagnostic signs found upon traditional TCM examination, and five on novel rating schemes derived from TCM theory and practice. Raters were students of TCM colleges or graduates of TCM training programs with 3 or more years experience and licensure. Type of outcome statistic varied. Mean rates of pairwise agreement averaged 57% (median 65, range 19-96) across the 9 studies reporting them. Mean Cohen's kappa averaged 0.34 (median 0.34, range 0.07-0.59) across the seven studies reporting them. Meta-analysis was not possible due to variations in study design and outcome statistics. High risks of bias and confounding, and deficits in statistical reporting were common. Conclusions: With a few exceptions, the levels of agreement were low to moderate. Most studies had significant deficits of both methodology and reporting. Results overall suggest a few design features that might contribute to higher levels of agreement. These should be studied further with better experimental controls and more thorough reporting of outcomes. In addition, methods of complex systems analysis should be explored to more adequately model the relationship between clinical outcomes, and the series of diagnoses and treatments that are the norm in actual TCM practice.

SUBMITTER: Jacobson E

PROVIDER: S-EPMC6864748 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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Experimental Studies of Inter-Rater Agreement in Traditional Chinese Medicine: A Systematic Review.

Jacobson Eric E Conboy Lisa L Tsering Dolma D Shields Monica M McKnight Patrick P Wayne Peter M PM Schnyer Rosa R

Journal of alternative and complementary medicine (New York, N.Y.) 20191101 11

<b><i>Objectives:</i></b> It has been recommended that clinical trials of Traditional Chinese Medicine (TCM) would be more ecologically valid if its characteristic mode of diagnostic reasoning were integrated into their design. In that context, however, it is also widely held that demonstrating a high level of agreement on initial TCM diagnoses is necessary for the replicability that the biomedical paradigm requires for the conclusions from such trials. Our aim was to review, summarize, and crit ...[more]

PMID: 31730402

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Project description:Objectives To explore agreement among healthcare professionals assessing eligibility for work disability benefits.Design Systematic review and narrative synthesis of reproducibility studies.Data sources Medline, Embase, and PsycINFO searched up to 16 March 2016, without language restrictions, and review of bibliographies of included studies.Eligibility criteria Observational studies investigating reproducibility among healthcare professionals performing disability evaluations using a global rating of working capacity and reporting inter-rater reliability by a statistical measure or descriptively. Studies could be conducted in insurance settings, where decisions on ability to work include normative judgments based on legal considerations, or in research settings, where decisions on ability to work disregard normative considerations. : Teams of paired reviewers identified eligible studies, appraised their methodological quality and generalisability, and abstracted results with pretested forms. As heterogeneity of research designs and findings impeded a quantitative analysis, a descriptive synthesis stratified by setting (insurance or research) was performed.Results From 4562 references, 101 full text articles were reviewed. Of these, 16 studies conducted in an insurance setting and seven in a research setting, performed in 12 countries, met the inclusion criteria. Studies in the insurance setting were conducted with medical experts assessing claimants who were actual disability claimants or played by actors, hypothetical cases, or short written scenarios. Conditions were mental (n=6, 38%), musculoskeletal (n=4, 25%), or mixed (n=6, 38%). Applicability of findings from studies conducted in an insurance setting to real life evaluations ranged from generalisable (n=7, 44%) and probably generalisable (n=3, 19%) to probably not generalisable (n=6, 37%). Median inter-rater reliability among experts was 0.45 (range intraclass correlation coefficient 0.86 to κ-0.10). Inter-rater reliability was poor in six studies (37%) and excellent in only two (13%). This contrasts with studies conducted in the research setting, where the median inter-rater reliability was 0.76 (range 0.91-0.53), and 71% (5/7) studies achieved excellent inter-rater reliability. Reliability between assessing professionals was higher when the evaluation was guided by a standardised instrument (23 studies, P=0.006). No such association was detected for subjective or chronic health conditions or the studies' generalisability to real world evaluation of disability (P=0.46, 0.45, and 0.65, respectively).Conclusions Despite their common use and far reaching consequences for workers claiming disabling injury or illness, research on the reliability of medical evaluations of disability for work is limited and indicates high variation in judgments among assessing professionals. Standardising the evaluation process could improve reliability. Development and testing of instruments and structured approaches to improve reliability in evaluation of disability are urgently needed.

Project description:BACKGROUND:There is a growing trend in the use of mobile health (mHealth) technologies in traditional Chinese medicine (TCM) and telemedicine, especially during the coronavirus disease (COVID-19) outbreak. Tongue diagnosis is an important component of TCM, but also plays a role in Western medicine, for example in dermatology. However, the procedure of obtaining tongue images has not been standardized and the reliability of tongue diagnosis by smartphone tongue images has yet to be evaluated. OBJECTIVE:The first objective of this study was to develop an operating classification scheme for tongue coating diagnosis. The second and main objective of this study was to determine the intra-rater and inter-rater reliability of tongue coating diagnosis using the operating classification scheme. METHODS:An operating classification scheme for tongue coating was developed using a stepwise approach and a quasi-Delphi method. First, tongue images (n=2023) were analyzed by 2 groups of assessors to develop the operating classification scheme for tongue coating diagnosis. Based on clinicians' (n=17) own interpretations as well as their use of the operating classification scheme, the results of tongue diagnosis on a representative tongue image set (n=24) were compared. After gathering consensus for the operating classification scheme, the clinicians were instructed to use the scheme to assess tongue features of their patients under direct visual inspection. At the same time, the clinicians took tongue images of the patients with smartphones and assessed tongue features observed in the smartphone image using the same classification scheme. The intra-rater agreements of these two assessments were calculated to determine which features of tongue coating were better retained by the image. Using the finalized operating classification scheme, clinicians in the study group assessed representative tongue images (n=24) that they had taken, and the intra-rater and inter-rater reliability of their assessments was evaluated. RESULTS:Intra-rater agreement between direct subject inspection and tongue image inspection was good to very good (Cohen ? range 0.69-1.0). Additionally, when comparing the assessment of tongue images on different days, intra-rater reliability was good to very good (? range 0.7-1.0), except for the color of the tongue body (?=0.22) and slippery tongue fur (?=0.1). Inter-rater reliability was moderate for tongue coating (Gwet AC2 range 0.49-0.55), and fair for color and other features of the tongue body (Gwet AC2=0.34). CONCLUSIONS:Taken together, our study has shown that tongue images collected via smartphone contain some reliable features, including tongue coating, that can be used in mHealth analysis. Our findings thus support the use of smartphones in telemedicine for detecting changes in tongue coating.

Project description:BackgroundTraditional Chinese medicine (TCM) has been widely applied for cancer care in China. There have been a large number of controlled clinical studies published in Chinese literature, yet no systematic searching and analysis has been done. This study summarizes the current evidence of controlled clinical studies of TCM for cancer.MethodsWe searched all the controlled clinical studies of TCM therapies for all kinds of cancers published in Chinese in four main Chinese electronic databases from their inception to November 2011. We bibliometrically analyzed the included studies and assessed the reporting quality.ResultsA total of 2964 reports (involving 253,434 cancer patients) including 2385 randomized controlled trials and 579 non-randomized controlled studies were included. The top seven cancer types treated were lung cancer, liver cancer, stomach cancer, breast cancer, esophagus cancer, colorectal cancer and nasopharyngeal cancer by both study numbers and case numbers. The majority of studies (72%) applied TCM therapy combined with conventional treatment, whilst fewer (28%) applied only TCM therapy in the experimental groups. Herbal medicine was the most frequently applied TCM therapy (2677 studies, 90.32%). The most frequently reported outcome was clinical symptom improvement (1667 studies, 56.24%) followed by biomarker indices (1270 studies, 42.85%), quality of life (1129 studies, 38.09%), chemo/radiotherapy induced side effects (1094 studies, 36.91%), tumor size (869 studies, 29.32%) and safety (547 studies, 18.45%). Completeness and adequacy of reporting appeared to improve with time.ConclusionsData from controlled clinical studies of TCM therapies in cancer treatment is substantial, and different therapies are applied either as monotherapy or in combination with conventional medicine. Reporting of controlled clinical studies should be improved based on the CONSORT and TREND Statements in future. Further studies should address the most frequently used TCM therapy for common cancers and outcome measures should address survival, relapse/metastasis and quality of life.

Project description:Systematic reviews have been challenged to consider effects on disadvantaged groups. A priori specification of subgroup analyses is recommended to increase the credibility of these analyses. This study aimed to develop and assess inter-rater agreement for an algorithm for systematic review authors to predict whether differences in effect measures are likely for disadvantaged populations relative to advantaged populations (only relative effect measures were addressed).A health equity plausibility algorithm was developed using clinimetric methods with three items based on literature review, key informant interviews and methodology studies. The three items dealt with the plausibility of differences in relative effects across sex or socioeconomic status (SES) due to: 1) patient characteristics; 2) intervention delivery (i.e., implementation); and 3) comparators. Thirty-five respondents (consisting of clinicians, methodologists and research users) assessed the likelihood of differences across sex and SES for ten systematic reviews with these questions. We assessed inter-rater reliability using Fleiss multi-rater kappa.The proportion agreement was 66% for patient characteristics (95% confidence interval: 61%-71%), 67% for intervention delivery (95% confidence interval: 62% to 72%) and 55% for the comparator (95% confidence interval: 50% to 60%). Inter-rater kappa, assessed with Fleiss kappa, ranged from 0 to 0.199, representing very low agreement beyond chance.Users of systematic reviews rated that important differences in relative effects across sex and socioeconomic status were plausible for a range of individual and population-level interventions. However, there was very low inter-rater agreement for these assessments. There is an unmet need for discussion of plausibility of differential effects in systematic reviews. Increased consideration of external validity and applicability to different populations and settings is warranted in systematic reviews to meet this need.

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Experimental Studies of Inter-Rater Agreement in Traditional Chinese Medicine: A Systematic Review.

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Experimental Studies of Inter-Rater Agreement in Traditional Chinese Medicine: A Systematic Review.

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