Objectives: Value-based healthcare has gained recognition. Part of this framework is using outcome information in daily care. This study evaluated the effects of the patients' perceived use of outcome information on shared decision-making, patient experiences with healthcare, treatment credibility, and outcome expectations.
Methods: Data collection occurred at 25 clinics for hand surgery and therapy. We created two groups based on whether patients indicated that outcome information was used (Outcome Information group) or was not used (control group) during the clinician consultation. The patients' experience with healthcare was assessed after the first consultation with digitally distributed patient-reported experience measure (PREM) and a questionnaire to measure treatment credibility and expectations. We controlled for confounders using propensity score matching on a 3:1 basis. We calculated Cliff's delta as an effect size measure (0.11-0.27 small, 0.28-0.42 medium, >0.43 large).
Results: After propensity score matching, we included 636 patients in the Outcome Information group and 212 in the control group. The Outcome Information group experienced more shared decision-making (Cliff's delta 0.33 [0.24-0.40], p<0.001) and scored better on all PREM items. Patients in the Outcome Information group had more positive expectations of the treatment outcome (Cliff's delta: 0.21 [0.12-0.29], p<0.001) and found their treatment more credible (Cliff's delta: 0.26 [0.18-0.34], p<0.001) compared to patients in the control group.
Conclusions: The perceived use of outcome information by patients leads to more shared decision-making, better experiences with healthcare, and more positive outcome expectations and treatment credibility. We therefore recommend using outcome information in daily care to fulfill the promise of value-based healthcare.
Objective: Our objective was to develop and assess the psychometric properties of relevant bolt-on items for the EQ-5D-5L in patients with rare diseases (RDs).
Methods: Nineteen new EQ-5D-5L bolt-ons were developed based on literature review, expert input and qualitative interviews and focus groups with patients, caregivers and representatives of patient associations. A nationwide, cross-sectional, web-based survey in China included patients or caregivers of patients with 31 RDs in China (n=9,190). In each RDs, participants completed the EQ-5D-5L and three out of 20 [one existing and 19 newly-developed] bolt-ons. Ceiling, explanatory power, convergent, divergent and known-group validity were examined.
Results: Among the bolt-ons, itching had the lowest ceiling (6.5%), while social relationships had the highest (42.2%). The absolute reduction in the ceiling of the EQ-5D-5L with the addition of any bolt-ons was limited, ranging from 0 (respiratory problems) to 8.3%-points (isolation). Dignity and vitality resulted in the largest increase in explained variance in EQ VAS. The isolation, fertility and visual acuity bolt-ons showed good divergent validity from the EQ-5D-5L items. There was strong convergent validity between SF-12 and conceptually-related bolt-ons (e.g., physical health composite and muscle problems bolt-on). Various bolt-ons improved the known-groups validity in specific patient groups, e.g., Huntington's disease (oral expressions), scleroderma (dexterity), myasthenia gravis (muscle problems), neuromyelitis optica and multiple sclerosis (fatigue), Marfan syndrome (self-image) and Pompe disease (safety).
Conclusion: The EQ-5D-5L shows sufficient validity in most RDs, but incorporating relevant specific bolt-ons could enhance its ability to more comprehensively assess health-related quality of life in these patients.
Objectives: Several trial-level surrogate methods have been proposed in the literature. However, often only one method is presented in practice. By plotting trial-level associations between surrogate and final outcomes with prediction intervals and by presenting results from cross-validation procedures, this research demonstrates the value of comparing a range of model predictions.
Methods: Two oncology data sets were used as examples. One contained 34 trials and had an overall moderate surrogate association; the other contained 14 trials and had an overall strong association. The models fitted included weighted linear regression, meta-regression, and Bayesian bivariate random-effects meta-analysis (BRMA).
Results: Predictions from the models showed a high degree of variation when there was a moderate association (surrogate threshold effect [STE] of 0.413-0.906) and less variation when there was a strong association (STE of 0.696-0.887). For both data sets, BRMA provided the most robust results, although informative priors for the heterogeneity distribution were needed for the smaller data set. Weighted linear regression models provided reasonable predictions in cases of moderate association. However, in the case of strong association, Bayesian BRMA demonstrated greater uncertainty in predictions.
Conclusion: Weighted linear regression provides a useful reference because prediction intervals represent 95% of variance in the data. However, the weights used in such a model must include information on follow-up time. In cases with small data sets, as well as in cases where there appeared to be a strong association, Bayesian BRMA provided predictions that were more robust than those provided by weighted linear regression.
Objectives: To examine recent economic evaluations, whether any type 2 diabetes mellitus (T2DM) screening designs may represent better value for money, and to rate their methodological qualities.
Methods: We systematically searched three concepts (economic evaluations (EEs), T2DM, screening) in three databases (Medline, Embase, and EconLit) for EEs published between 2010 and 2023. Two independent reviewers screened for and rated their methodological quality (using CHEC-Extended).
Results: Of 32 EEs, a majority were from high-income countries (69%). Most used single biomarkers (54%) to screen adults ≥30-<60 years old (60%) but did not report locations (69%), treatments for those diagnosed (66%), diagnostic methods (57%) and screening intervals (54%). Compared to no screening, T2DM screening using single biomarkers was found not cost-effective (23/54 comparisons), inconclusive (16/54), dominant (11/54), or cost-effective (4/54). Compared to no screening, screening with a risk score and single biomarkers was found cost-effective (21/40) or dominant (19/40). Risk score alone was mostly dominant (6/10). Compared to universal screening, targeted screening among obese, overweight, or older people may be cost-effective or dominant. Compared to fasting plasma glucose (FPG) or fasting capillary glucose, screening using risk scores was found mostly dominant or cost-effective. Expanding screening location or lowering HbA1c or FPG thresholds was found dominant or cost-effective. Each EE had 4-17 items (median 14/20) on CHEC-Extended rated "Yes/Rather Yes".
Conclusion: EE findings varied based on screening tools, intervals, locations, minimum screening age, diagnostic methods and treatment. Future EEs should more comprehensively report screening designs and evaluate T2DM screening in low-income countries.