Dataset Information

Development and design of a mobile application for prescription opioid clinical decision-making: a feasibility study in New York City, USA.

ABSTRACT:

Objectives

Excessive opioid prescribing is a contributing factor to the opioid epidemic in the USA. We aimed to develop, implement and evaluate the usability of a clinical decision-making mobile application (app) for opioid prescription after surgery.

Methods

We developed two clinical decision trees, one for opioid prescription after adult laparoscopic cholecystectomy and one for posterior spinal fusion surgery in adolescents. We developed a mobile app incorporating the two algorithms with embedded clinical decision-making, which was tested by opioid prescribers. A survey collected prescription intention prior to app use and participants' evaluation. Participants included opioid prescribers for patients undergoing (1) laparoscopic cholecystectomy in adults or (2) posterior spinal fusion in adolescents with idiopathic scoliosis.

Results

Eighteen healthcare providers were included in this study (General Surgery: 8, Paediatrics: 10). Intended opioid prescription before app use varied between departments (General Surgery: 0-10 pills (mean=5.9); Paediatrics: 6-30 pills (mean=20.8)). Intention to continue using the app after using the app multiple times varied between departments (General Surgery: N=3/8; Paediatrics: N=7/10). The most reported reason for not using the app is lack of time.

Conclusions

In this project evaluating the development and implementation of an app for opioid prescription after two common surgeries with different prescription patterns, the surgical procedure with higher intended and variable opioid prescription (adolescent posterior spinal fusion surgery) was associated with participants more willing to use the app. Future iterations of this opioid prescribing intervention should target surgical procedures with high variability in both patients' opioid use and providers' prescription patterns.

SUBMITTER: Marziali ME

PROVIDER: S-EPMC9980329 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature

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Publications

Development and design of a mobile application for prescription opioid clinical decision-making: a feasibility study in New York City, USA.

Marziali Megan E ME Giordano Mirna M Gleit Zachary Z Prigoff Jake J Landau Ruth R Martins Silvia S SS

BMJ open 20230228 2

<h4>Objectives</h4>Excessive opioid prescribing is a contributing factor to the opioid epidemic in the USA. We aimed to develop, implement and evaluate the usability of a clinical decision-making mobile application (app) for opioid prescription after surgery.<h4>Methods</h4>We developed two clinical decision trees, one for opioid prescription after adult laparoscopic cholecystectomy and one for posterior spinal fusion surgery in adolescents. We developed a mobile app incorporating the two algori ...[more]

PMID: 36854603

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Project description:OBJECTIVE:To evaluate the effects of shared decision making using a simple decision aid for opioid prescribing after hysterectomy. METHODS:We conducted a prospective quality initiative study including all patients undergoing hysterectomy for benign, nonobstetric indications between March 1, 2018, and July 31, 2018, at our academic institution. Using a visual decision aid, patients received uniform education regarding postoperative pain management. They were then educated on the department's guidelines regarding the maximum number of tablets recommended per prescription and the mean number of opioid tablets used by a similar cohort of patients in a previously published study at our institution. Patients were then asked to choose their desired number of tablets to receive on discharge. Structured telephone interviews were conducted 14 days after surgery. The primary outcome was total opioids prescribed before compared with after implementation of the decision aid. Secondary outcomes included opioid consumption, patient satisfaction, and refill requests after intervention implementation. RESULTS:Of 170 eligible patients, 159 (93.5%) used the decision aid (one patient who used the decision aid was subsequently excluded from the analysis owing to significant perioperative complications), including 110 (69.6%) laparoscopic, 40 (25.3%) vaginal, and eight (5.3%) abdominal hysterectomies. Telephone surveys were completed for 89.2% (n=141) of participants. Student's t-test showed that patients who participated in the decision aid (post-decision aid cohort) were discharged with significantly fewer oral morphine equivalents than patients who underwent hysterectomy before implementation of the decision aid (pre-decision aid cohort) (92±35 vs 160±81, P<.01), with no significant change in the number of requested refills (9.5% [n=15] vs 5.7% [n=14], P=.15). In the post-decision aid cohort, 76.6% of patients (n=121) chose fewer tablets than the guideline-allotted maximum. Approximately 76% of patients (n=102) reported having leftover tablets. CONCLUSION:This quality improvement initiative illustrates that a simple decision aid can result in a significant decrease in opioid prescribing without compromising patient satisfaction or postoperative pain management.

Dataset Information

Development and design of a mobile application for prescription opioid clinical decision-making: a feasibility study in New York City, USA.

Objectives

Methods

Results

Conclusions

Publications

Development and design of a mobile application for prescription opioid clinical decision-making: a feasibility study in New York City, USA.

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