# Optimising preoperative expectations to reduce postoperative pain and disability in total hip arthroplasty: a study protocol for a randomised controlled trial

**Authors:** Ana Ocokoljic, Julia Stuhlreyer, Lena Paschke-Dahl, Sigrid Elsenbruch, Tim Rolvien, Frank Timo Beil, Christian Zöllner, Regine Klinger

PMC · DOI: 10.1136/bmjopen-2025-108899 · BMJ Open · 2025-11-13

## TL;DR

This study tests if improving patient expectations before hip surgery can reduce postoperative pain and improve recovery.

## Contribution

The study introduces combined strategies of enhanced communication and observational learning to optimize preoperative expectations in hip surgery patients.

## Key findings

- The trial will assess the effects of augmented communication and observational learning on pain and recovery outcomes.
- Multiple time points will evaluate pain intensity, function, and inflammation up to 12 months post-surgery.
- The study compares four groups to determine the most effective intervention strategy.

## Abstract

Osteoarthritis (OA) commonly affects the ageing population, particularly the hip joint. Total hip arthroplasty (THA) is a frequent procedure that relieves pain and improves mobility, though some patients experience persistent postoperative pain. With rising numbers of THA, optimising perioperative care and pain management is crucial to address the growing clinical burden and improve patient outcomes. Positive treatment expectations have shown promise in enhancing outcomes, especially in pain management. This study implements two strategies to optimise the patient’s treatment expectations, comprising enhanced physician communication and digital social observational learning. We will examine their separate and combined effects on preoperative expectations, negative emotions, postoperative pain, inflammation and function during recovery up to 12 months postoperatively.

This randomised controlled trial (RCT) investigates the impact of augmented physician communication and observational learning on treatment expectations and recovery. Participants (n=200) will be randomised into four groups: treatment as usual (TAU), augmented doctor conversation (aDOC), observational learning video (Video) and a combination of both (aDOC+Video). The aDOC group receives empathic communication and targeted information to strengthen self-efficacy. The Video group watches a model patient demonstrating successful recovery. The combined group receives both interventions. Outcomes will be assessed at multiple time points (4 days preoperatively; 1 and 4 days, 4 weeks and 3, 6 and 12 months postoperatively), including subjective pain ratings, mobility and objective physical function. The primary analysis will compare changes in pain intensity across groups. Secondary outcomes will include functional status, self-efficacy, recovery and systemic inflammatory markers. Statistical analysis involves repeated measures ANOVA and post hoc tests for between-group and within-group comparisons.

German Clinical Trials Register: DRKS00033212.

## Linked entities

- **Diseases:** Osteoarthritis (MONDO:0005178)

## Full-text entities

- **Diseases:** OA (MESH:D010003), pain (MESH:D010146), inflammation (MESH:D007249), postoperative pain (MESH:D010149)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

56 references — full list in the complete paper: https://tomesphere.com/paper/PMC12625907/full.md

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Source: https://tomesphere.com/paper/PMC12625907