The PU-PROM: A patient-reported outcome measure for peptic ulcer disease.

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Abstract

OBJECTIVE

Patient-reported outcome measure (PROM) conceived to enable description of treatment-related effects, from the patient perspective, bring the potential to improve in clinical research, and to provide patients with accurate information. Therefore, the aim of this study was to develop a patient-centred peptic ulcer patient-reported outcome measure (PU-PROM) and evaluate its reliability, validity, differential item functioning (DIF) and feasibility.

METHOD

To develop a conceptual framework and item pool for the PU-PROM, we performed a literature review and consulted other measures created in China and other countries. Beyond that, we interviewed 10 patients with peptic ulcers, and consulted six key experts to ensure that all germane parameters were included. In the first item selection phase, classical test theory and item response theory were used to select and adjust items to shape the preliminary measure completed by 130 patients and 50 controls. In the next phase, the measure was evaluated used the same methods with 492 patients and 124 controls. Finally, we used the same population in the second item reselection to assess the reliability, validity, DIF and feasibility of the final measure.

RESULTS

The final peptic ulcer PRO measure comprised four domains (physiology, psychology, society and treatment), with 11 subdomains, and 54 items. The Cronbach's α coefficient of each subdomain for the measure was >0.800. Confirmatory factory analysis indicated that the construct validity fulfilled expectations. Model fit indices, such as RMR, RMSEA, NFI, NNFI, CFI and IFI, showed acceptable fit. The measure showed a good response rate.

CONCLUSIONS

The peptic ulcer PRO measure had good reliability, validity, DIF and feasibility, and can be used as a clinical research evaluation instrument with patients with peptic ulcers to assess their condition focus on treatment. This measure may also be applied in other health areas, especially in clinical trials of new drugs, and may be helpful in clinical decision making.

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