Process and Implementation Elements of Measurement Feedback Systems: A Systematic Review

Kristian Rognstad1,2, Thomas Engell3, Krister Fjermestad4

  • 1Regional Center for Child and Adolescent Mental Health, Eastern and Southern Norway, Oslo, Norway. kristian.rognstad@r-bup.no.

Insights

Measurement feedback systems (MFS) show varied results, often limited by poor attention to implementation and therapist adoption. More research is needed to understand how to improve MFS effectiveness and use.

Area of Science:

  • Health Services Research
  • Clinical Psychology
  • Behavioral Medicine

Background:

  • Measurement feedback systems (MFS) are intended to guide treatment and enhance clinical outcomes.
  • Existing studies on MFS exhibit heterogeneity in methods and findings.
  • Limited focus on process and implementation elements, and low adoption by health professionals, may restrict MFS effectiveness.

Purpose of the Study:

  • To systematically review the use of process and implementation elements in MFS studies.
  • To provide an overview of therapists' engagement with and attitudes toward MFS.
  • To test theoretically informed process and implementation elements as moderators of MFS effects using meta-analysis.

Main Methods:

  • Systematic review and three-level meta-analyses.
  • Organization of study elements based on Clinical Performance Feedback Intervention Theory (CP-FIT).
  • Exploration of process and implementation elements as moderators of MFS effects.

Main Results:

  • Identified process and implementation elements were not significantly associated with effect sizes.
  • The study findings did not support the propositions of CP-FIT.
  • Limited reporting of implementation details may have impacted the analysis.

Conclusions:

  • Current MFS interventions often neglect crucial implementation and process factors, hindering their impact.
  • Therapist attitudes and engagement with MFS are inconsistently reported, complicating synthesis.
  • Further research is essential to investigate and optimize process and implementation elements for improved MFS effectiveness and adoption.

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