Gastroenterology

Gastroenterology

Volume 127, Issue 2, August 2004, Pages 403-411
Gastroenterology

Clinical-alimentary tract
The quality of published health economic analyses in digestive diseases: A systematic review and quantitative appraisal

https://doi.org/10.1053/j.gastro.2004.04.020Get rights and content

Abstract

Background & Aims: Health economic analyses are increasingly common in the digestive diseases literature and often are cited to frame practice guidelines. Although clinical trials are subjected routinely to critical appraisal, there has been no attempt to appraise the quality of health economic analyses with a validated instrument. We sought to appraise the quality of health economic analyses in digestive diseases, and to identify predictors of study quality. Methods: We performed a systematic review to identify digestive disease health economic analyses published since 1980. We assessed these studies using the Quality of Health Economic Studies (QHES), a validated quality-scoring instrument (score range = 0–100; >75 = high quality). We conducted regression analysis to identify predictors of high quality. Results: Of 186 identified analyses, 29% were high quality, 71% failed to address potential model biases, 52% failed to disclose conflicts of interest, and 74% failed to describe methods for deriving the model assumptions. Four factors predicted high quality in logistic regression: (1) one or more authors had an advanced degree in health services or a related field (odds ratio for high quality, 5.0; 95% confidence interval, 2.6–9.3); (2) the study used decision-analysis software package (odds ratio, 2.4; 95% confidence interval, 1.2–4.7); (3) the study was federally funded (odds ratio, 2.2; 95% confidence interval, 1.2–4.1); and (4) the study cited the National Panel on Cost Effectiveness guidelines (odds ratio, 2.1; 95% confidence interval, 1.1–4.2). Conclusions: Less than one third of health economic analyses in digestive diseases meet criteria for high quality. Study quality is limited by factors that potentially can be remedied. These data may be used to focus the attention of journal editors and peer reviewers to ensure the future high quality of health economic analyses in digestive diseases.

Section snippets

Systematic review

We performed a systematic review of English-language gastroenterology, endoscopy, hepatology, and internal medicine journals with an impact factor greater than 1.0 to identify health economic analyses in digestive diseases published between January 1980 and January 2004. Table 1 lists the journals subjected to our search and provides the key words and search strings used to perform the systematic review. Three reviewers with experience in health economic analyses independently assessed the

Interrater agreement

The mean scores (±SD) for the 10% random sample training set for the 3 reviewers were: 60.8 ± 14, 56.0 ± 16, and 59.5 ± 15 (P value for ANOVA, 0.58). The agreement for dichotomous scoring was high (κ = 0.8). The 3 reviewers scored 85% of the studies in the test set within 10 points. Therefore, the reviewers achieved excellent interrater agreement.

Descriptive analyses

Table 4 shows the results of the descriptive analyses. There were 186 studies included in the final dataset (135 from gastrointestinal journals, 51

Conclusions

In light of the increasing reliance on health economic analyses to formulate policy decisions in digestive diseases, it is important to systematically rate and describe the quality of this body of literature. Our analysis reveals that less than one third of health economic analyses in digestive diseases meet criteria for high quality as measured by a validated instrument. Traditional surrogate markers of quality (e.g., presence of an editorial, number of Web of Science citations per year) do

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Supported by a National Institutes of Health training grant (DK-07180 to B.M.R.S.), an American Association for the Study of Liver Diseases (AASLD) Advanced Hepatology Fellowship Award (to F.K.), National Institutes of Health K23 Career Development Award (RR-16188 to G.S.D.), and a VA Health Services Research and Development (HSR&D) (IIR 01-191-1 to I.M.G.)

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