Mairead Murphy, Sandra Hollinghurst, Chris Salisbury
Journal: BMC family practice 2019;19(1):162
PMID: 30261850
Assessing the effectiveness of healthcare interventions from a patient perspective involves the use of patient-reported outcome measures (PROMs). The objective of this study was to test qualitatively, through cognitive interviews, two PROMs designed specifically for primary care: a PROM which uses a transitional scale and an individualised PROM. The study was conducted alongside a larger qualitative study. Patients were purposefully sampled to include both men and women, and a range of ages, conditions and ethnicities. The patients who were interviewed for the qualitative study were asked to complete two existing questionnaires designed to measure outcomes in primary care and the process of completion was assessed using cognitive interviews. The study results are in line with previous research findings that transitional instruments like the PEI are more difficult than status questionnaires for respondents to complete, because they require a greater number of internal calculations. Authors conclude that cognitive interviews should be an essential part of new measure development, to ensure the questions are understood consistently and are measuring the desired concept.
BACKGROUND
Standardised generic patient-reported outcome measures (PROMs) which measure health status are often unresponsive to change in primary care. Alternative formats, which have been used to increase responsiveness, include individualised PROMs (in which respondents specify the outcomes of interest in their own words) and transitional PROMs (in which respondents directly rate change over a period). The objective of this study was to test qualitatively, through cognitive interviews, two PROMs, one using each respective format.
METHODS
The individualised PROM selected was the Measure Yourself Medical Outcomes Profile (MYMOP). The transitional PROM was the Patient Enablement Instrument (PEI). Twenty patients who had recently attended the GP were interviewed while completing the questionnaires. Interview data was analysed using a modification of Tourangeau's model of cognitive processing: comprehension, response, recall and face validity.
RESULTS
Patients found the PEI simple to complete, but for some it lacked face validity. The transitional scale was sometimes confused with a status scale and was problematic in situations when the relevant GP appointment was part of a longer episode of care. Some patients reported a high enablement score despite verbally reporting low enablement but high regard for their GP, which suggested hypothesis-guessing. The interpretation of the PEI items was inconsistent between patients. MYMOP was more difficult for patients to complete, but had greater face validity than the PEI. The scale used was open to response-shift: some patients suggested they would recalibrate their definition of the scale endpoints as their illness and expectations changed.
CONCLUSIONS
The study provides information for both users of PEI/MYMOP and developers of individualised and transitional questionnaires. Users should heed the recommendation that MYMOP should be interview-administered, and this is likely to apply to other individualised scales. The PEI is open to hypothesis-guessing and may lack face-validity for a longer episode of care (e.g. in patients with chronic conditions). Developers should be cognisant that transitional scales can be inconsistently completed: some patients forget during completion that they are measuring change from baseline. Although generic questionnaires require the content to be more general than do disease-specific questionnaires, developers should avoid questions which allow broad and varied interpretations.
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