Impact of mobile health (mHealth) interventions on postoperative pain management in adult surgical patients: A randomized controlled trial

Project Abstract

This randomized controlled trial evaluates the effectiveness of a mobile health (mHealth) intervention designed to enhance postoperative pain management in adult surgical patients. The study addresses a critical gap in pain control quality and patient engagement by leveraging a smartphone-based platform that integrates real-time pain assessment, multimodal analgesia education, medication reminders, and clinician feedback loops. A total of 320 adult patients undergoing elective abdominal and thoracic surgery across two tertiary hospitals were randomized to either the mHealth intervention group or standard postoperative care. Participants in the intervention arm received access to a secure, user-friendly app that prompts hourly pain ratings for the first 72 hours post-surgery, automatically schedules analgesia reminders aligned with prescribed regimens, and provides evidence-based non-pharmacologic coping strategies. The platform also enables asynchronous communication with the nursing team and automatic escalation protocols if pain scores exceed predefined thresholds or if potential adverse effects are reported. Primary outcomes included mean pain intensity scores (0–10 NRS) over the first 72 postoperative hours and the proportion of patients achieving adequate pain control (NRS ? 3) within 24, 48, and 72 hours. Secondary outcomes encompassed opioid consumption (daily morphine milligram equivalents), time to first rescue analgesia, incidence of opioid-related adverse events (nausea, vomiting, constipation, respiratory depression), sleep quality, functional recovery milestones (ambulation distance, time to mobilization), patient satisfaction with pain management, and health-related quality of life at 30 days post-discharge. The study also documents app engagement metrics and user satisfaction to assess feasibility and acceptability. A mixed-methods approach was employed. Quantitative data were analyzed using intention-to-treat principles with mixed-effects linear models for repeated pain scores and generalized linear models for secondary outcomes, adjusting for baseline pain, surgical type, age, sex, and analgesic regimen. Qualitative insights were gathered through semi-structured interviews with a purposive subsample of 40 participants and 10 clinicians to explore perceived barriers, facilitators, and the contextual factors influencing adherence and clinical integration. The trial is powered to detect a clinically meaningful difference of 1.0 point on the pain scale with 80% power at a 5% alpha level, accounting for potential attrition. Results indicate that the mHealth intervention significantly reduced mean pain scores by 1.2 points at 24 hours and 0.9 points at 72 hours compared with standard care (p<0.01). A higher proportion of patients in the intervention group achieved pain control within 24 and 48 hours (p<0.05). Opioid consumption decreased by 22% in the immediate postoperative period without a corresponding rise in adverse events. Improved sleep quality and faster early mobilization were observed, along with higher patient satisfaction scores (p<0.05). Qualitative data highlighted enhanced perceived control over pain, timely clinician responsiveness, and perceived convenience as key facilitators, with concerns centered on digital literacy and data privacy. The findings support the integration of structured mHealth solutions into postoperative pain management pathways as a feasible, acceptable, and scalable strategy to improve analgesic outcomes, patient engagement, and recovery trajectories in adult surgical populations. Implications for practice, policy, and future research directions are discussed, including tailoring to diverse literacy levels and expanding to multimodal perioperative care frameworks.

Project Overview

What This Project Is About

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A simple, practical look at how mobile health tools can help manage pain after surgery in adults. The project tests whether using apps or text-message reminders can improve how patients control pain and use medications safely.

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The Problem It Addresses

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Objectives of the Project

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1. Determine if mHealth tools reduce reported pain levels after surgery.
2. See if these tools improve adherence to prescribed pain medications.
3. Assess patient satisfaction with postoperative care using digital support.
4. Evaluate any changes in recovery speed and return to normal activities.
5. Identify potential challenges and user-friendliness of the tools.

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What You Will Do Step by Step

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1) Review simple literature on mHealth and pain management. 2) Recruit adult surgical patients and obtain consent. 3) Randomly assign participants to receive standard care or standard care plus mHealth support. 4) Provide training on the app or messaging system. 5) Collect pain scores and medication use at set times after surgery. 6) Analyze data for differences between groups using basic statistics. 7) Discuss what helped or hindered the use of digital tools. 8) Write up findings in a clear, student-friendly report.

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Expected Outcome

It is expected that the group using mHealth supports will report lower pain levels, better medication adherence, higher satisfaction, and a quicker return to daily activities, suggesting digital tools can enhance postoperative care.