Should Service Users be Involved in Co-Designing Surveys they will Use?

Research Paper Title

Validation of a Comprehensive Patient Experience Survey for Addiction and Mental Health that was Co-designed with Service Users.

Background

A rigorous survey development process was undertaken to design and test a novel, comprehensive patient experience measure that can be used across the full continuum of addiction and mental health programs.

Service users were involved in all aspects of the measure’s development, including the selection of items, pre-testing, naming of the scales, and interpretation of the results.

Methods

Survey data was collected from 1222 patients in treatment in a variety of service settings across Alberta, Canada (89% outpatients; 60% female).

Results

An exploratory factor analysis identified five subscales-patient-centred care, treatment effectiveness, staff behaviour, availability and coordination of care, and communication.

The subscales had high internal reliability (Cronbach’s alpha = 0.77 to 0.85) and test-retest reliability ranged from 0.53 to 0.82 across the five scales.

Conclusions

Scores on the new instrument were correlated with treatment outcomes.

The assessment of patient experience should be integrated into a continuous, sustainable quality improvement process to be truly effective.

Reference

Currie, S.R., Liu, P., Adamyk-Simpson, J. & Stanich, J. (2020) Validation of a Comprehensive Patient Experience Survey for Addiction and Mental Health that was Co-designed with Service Users. Community Mental Health Journal. 56(4), pp.735-743. doi: 10.1007/s10597-019-00534-1. Epub 2020 Jan 1.

Leave a Reply

Please log in using one of these methods to post your comment:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.