Non-pharmacological Options in Postoperative Hospital-Based and Rehabilitation Pain Management (NOHARM): Protocol for a Stepped-Wedge Cluster-Randomized Pragmatic Clinical Trial

A bundle of opioid-sparing strategies to eliminate routine opioid prescribing in a urogynecology practice

BACKGROUND

Current evidence supports that many patients do not use prescribed opioids following reconstructive pelvic surgery, yet it remains unclear if it is feasible to eliminate routine opioid prescriptions without a negative impact on patients or providers.

OBJECTIVE

To determine if there is a difference in the proportion of patients discharged without opioids after implementing a bundle of opioid-sparing strategies and tiered prescribing protocol compared to usual care after minimally invasive pelvic reconstructive surgery (transvaginal, laparoscopic, or robotic). Secondary objectives include measures of patient-perceived pain control and provider workload.

STUDY DESIGN

The bundle of opioid-sparing strategies and tiered prescribing protocol intervention was implemented as a division-wide evidence-based practice change on August 1, 2022. This retrospective cohort compares a 6-month postintervention (bundle of opioid-sparing strategies and tiered prescribing protocol) cohort to 6-month preintervention (usual care) of patients undergoing minimally invasive pelvic reconstructive surgery. A 3-month washout period was observed after bundle of opioid-sparing strategies and tiered prescribing protocol initiation. We excluded patients <18 years, failure to consent to research, combined surgery with other specialties, urge urinary incontinence or urinary retention procedures alone, and minor procedures not typically requiring opioids. Primary outcome was measured by proportion discharged without opioids and total oral morphine equivalents prescribed. Pain control was measured by pain scores, postdischarge prescriptions and refills, phone calls and visits related to pain, and satisfaction with pain control. Provider workload was demonstrated by phone calls and postdischarge prescription refills. Data were obtained through chart review on all patients who met inclusion criteria. Primary analysis only included patients prescribed opioids according to the bundle of opioid-sparing strategies and tiered prescribing protocol protocol. Two sample t tests compared continuous variables and chi-square tests compared categorical variables.

RESULTS

Four hundred sixteen patients were included in the primary analysis (207 bundle of opioid-sparing strategies and tiered prescribing protocol, 209 usual care). Baseline demographics were similar between groups, except a lower proportion of irritable bowel syndrome (13% vs 23%; P<.01) and pelvic pain (15% vs 24.9%; P=.01), and higher history of prior gynecologic surgery (69.1% vs 58.4%; P=.02) in the bundle of opioid-sparing strategies and tiered prescribing protocol cohort. The bundle of opioid-sparing strategies and tiered prescribing protocol cohort was more likely to be discharged without opioids (68.1% vs 10.0%; P<.01). In those prescribed opioids, total oral morphine equivalents on discharge was significantly lower in the bundle of opioid-sparing strategies and tiered prescribing protocol cohort (48.1 vs 81.8; P<.01). The bundle of opioid-sparing strategies and tiered prescribing protocol cohort had a 20.6 greater odds (confidence interval 11.4, 37.1) of being discharged without opioids after adjusting for surgery type, arthritis/joint pain, IBS, pelvic pain, and contraindication to nonsteroidal anti-inflammatory drugs. The bundle of opioid-sparing strategies and tiered prescribing protocol cohort was also less likely to receive a rescue opioid prescription after discharge (1.4% vs 9.5%; P=.03). There were no differences in opioid prescription refills (19.7% vs 18.1%; P=.77), emergency room visits for pain (3.4% vs 2.9%; P=.76), postoperative pain scores (mean 4.7 vs 4.0; P=.07), or patient satisfaction with pain control (81.5% vs 85.6%; P=.21). After bundle of opioid-sparing strategies and tiered prescribing protocol implementation, the proportion of postoperative phone calls for pain also decreased (12.6% vs 21.5%; P=.02). Similar results were identified when nonadherent prescribing was included in the analysis.

CONCLUSION

A bundle of evidence-based opioid sparing strategies and tiered prescribing based on inpatient use increases the proportion of patients discharged without opioids after minimally invasive pelvic reconstructive surgery without evidence of uncontrolled pain or increased provider workload.

Collecting patient-reported outcome measures in the electronic health record: Lessons from the NIH pragmatic trials Collaboratory

The NIH Pragmatic Trials Collaboratory supports the design and conduct of 27 embedded pragmatic clinical trials, and many of the studies collect patient reported outcome measures as primary or secondary outcomes. Study teams have encountered challenges in the collection of these measures, including challenges related to competing health care system priorities, clinician's buy-in for adoption of patient-reported outcome measures, low adoption and reach of technology in low resource settings, and lack of consensus and standardization of patient-reported outcome measure selection and administration in the electronic health record. In this article, we share case examples and lessons learned, and suggest that, when using patient-reported outcome measures for embedded pragmatic clinical trials, investigators must make important decisions about whether to use data collected from the participating health system's electronic health record, integrate externally collected patient-reported outcome data into the electronic health record, or collect these data in separate systems for their studies.

Potential bias and lack of generalizability in electronic health record data: reflections on health equity from the National Institutes of Health Pragmatic Trials Collaboratory

Embedded pragmatic clinical trials (ePCTs) play a vital role in addressing current population health problems, and their use of electronic health record (EHR) systems promises efficiencies that will increase the speed and volume of relevant and generalizable research. However, as the number of ePCTs using EHR-derived data grows, so does the risk that research will become more vulnerable to biases due to differences in data capture and access to care for different subsets of the population, thereby propagating inequities in health and the healthcare system. We identify 3 challenges-incomplete and variable capture of data on social determinants of health, lack of representation of vulnerable populations that do not access or receive treatment, and data loss due to variable use of technology-that exacerbate bias when working with EHR data and offer recommendations and examples of ways to actively mitigate bias.

Family-based improvement for health literacy among the Yi nationality (FAMILY) in Liangshan: protocol of an open cohort stepped wedge cluster randomized controlled trial

BACKGROUND

Improvement of health literacy constitutes a cornerstone to improving public health. However, the overall health literacy of Liangshan Yi Autonomous Prefecture (Liangshan Prefecture) in the southwest Sichuan Province of China has kept extremely low for a long time. How to improve health literacy of the Yi nationality residents is key to be urgently solved. Notably, Family Branch System is a distinctive patrilineal bloodline organization of Yi nationality, which plays an important role in the daily life of Yi nationality. Meanwhile, Contracted Family Doctor Services is conducted in Liangshan Prefecture. Therefore, this study proposes an intervention model of health education based on Family Branch System and Contracted Family Doctor Services, which is a Family-based Improvement for Health Literacy among the Yi nationality (FAMILY) in Liangshan, when improving traditional Innovative Care for Chronic Conditions Framework (ICCC) framework.

METHODS

An open cohort stepped wedge cluster randomized trial design is used to implement health literacy education interventions including project preparation, core group building, promotion within family branch and competition between family branches while using Contracted Family Doctor Services as control measure. The study will be conducted among Yi nationality residents in Meigu County and Yanyuan County, with health literacy level of residents as the primary outcome. Finally, mixed-effects model and causal inference method will be used to evaluate intervention effect.

DISCUSSION

This study highlights family, using the unique Family Branch System and Contracted Family Doctor Services in Liangshan Prefecture to design intervention among improved ICCC framework, and combines the mixed-effects model with complier average causal effects (CACE) to estimate the intervention effect under non-compliance for the first time. Besides, other key technologies to be adopted include construction of electronic questionnaire quality control system, with quality control based on artificial intelligence. This trial contributes to exploring an effective way to improve health literacy of Yi nationality residents in Liangshan Prefecture, which will provide reference for other areas, especially poor areas, to improve residents' health literacy.

TRIAL REGISTRATION

ISRCTN11299863 on June 1, 2022; https://www.isrctn.com/ .