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Evaluating the implementation and effectiveness of a multi-component intervention to reduce post-surgical opioid prescribing: study protocol of a mixed-methods design.

ABSTRACT: INTRODUCTION:Opioids prescribed after surgery accounted for 5% of the 191?million opioid prescriptions filled in 2017. Approximately 80% of the opioid pills prescribed by surgical care providers remain unused, leaving a substantial number of opioids available for non-medical use. We developed a multi-component intervention to address surgical providers' role in the overprescribing of opioids. Our study will determine effective strategies for reducing post-surgical prescribing while ensuring adequate post-surgery patient-reported pain-related outcomes, and will assess implementation of the strategies. METHODS AND ANALYSIS:The Minimising Opioid Prescribing in Surgery study will implement a multi-component intervention, in an Illinois network of six hospitals (one academical, two large community and three small community hospitals), to decrease opioid analgesics prescribed after surgery. The multi-component intervention involves four domains: (1) patient expectation setting, (2) baseline assessment of opioid use, (3) perioperative pain control optimisation and (4) post-surgical opioid minimisation. Four surgical specialities (general, orthopaedics, urology and gynaecology) at the six hospitals will implement the intervention. A mixed-methods approach will be used to assess the implementation and effectiveness of the intervention. Data from the network's enterprise data warehouse will be used to evaluate the intervention's effect on post-surgical prescriptions and a survey will collect pain-related patient-reported outcomes. Intervention effectiveness will be determined using a triangulation design, mixed-methods approach with staggered speciality-specific implementation for contemporaneous control of opioid prescribing changes over time. The Consolidated Framework for Implementation Research will be used to evaluate the site-specific contextual factors and adaptations to achieve implementation at each site. ETHICS AND DISSEMINATION:The study aims to identify the most effective hospital-type and speciality-specific intervention bundles for rapid dissemination into our 56-hospital learning collaborative and in hospitals throughout the USA. All study activities have been approved by the Northwestern University Institutional Review Board (ID STU00205053).

SUBMITTER: Stulberg JJ

PROVIDER: S-EPMC6561445 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Evaluating the implementation and effectiveness of a multi-component intervention to reduce post-surgical opioid prescribing: study protocol of a mixed-methods design.

Stulberg Jonah J JJ Schäfer Willemijn L A WLA Shallcross Meagan L ML Lambert Bruce L BL Huang Reiping R Holl Jane L JL Bilimoria Karl Y KY Johnson Julie K JK

BMJ open 20190603 6

<h4>Introduction</h4>Opioids prescribed after surgery accounted for 5% of the 191 million opioid prescriptions filled in 2017. Approximately 80% of the opioid pills prescribed by surgical care providers remain unused, leaving a substantial number of opioids available for non-medical use. We developed a multi-component intervention to address surgical providers' role in the overprescribing of opioids. Our study will determine effective strategies for reducing post-surgical prescribing while ensur ...[more]

PMID: 31164370

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Project description:ImportanceOverprescribing of opioids has generated and sustains the opioid overdose epidemic. Health systems have a responsibility to lead the effort to reduce overprescribing.ObjectiveTo measure the effects of multilevel interventions on opioid prescribing within a health system.Design, setting, and participantsQuality improvement study comparing a 6-month preintervention baseline with a 16-month postintervention period ending in April 2018. Inpatient and outpatient clinical activity within a regional health system including an acute care hospital, same-day surgery, and outpatient clinics. Opioid prescribing activity by hundreds of clinicians involving over a million clinical encounters was measured using a health system's electronic medical record.InterventionsMultiple parallel interventions in different domains, including prescriber education and accountability, enhanced oversight via measurement of individual prescribers, tools to right-size postoperative discharge prescriptions, reduction of default amounts on standard opioid prescription orders, and professionally written patient and public education about opioid risks and alternatives.Main outcomes and measuresMorphine milligram equivalents (MME) per encounter per month, MME per opioid prescription, and rate of opioid prescriptions (opioid prescriptions per encounter per month).ResultsMore than 44?000 clinical encounters per month were recorded. All baseline trends were not significantly different from 0. Total health system MME per encounter decreased 1.0 MME per encounter per month. At the end of the postintervention observation period, the monthly MME per encounter was 58% lower than the average of the 6-month baseline, the MME per opioid prescription per month was 34% less than the average of the baseline, and the opioid prescription rate was 38% lower than the average of the baseline.Conclusions and relevanceOpioid overprescribing was reduced with multifocal interventions targeting patient and public demand, creating prescriber awareness and accountability, and creating tools for clinical leadership accountability. The interventions described are adoptable by most organized health systems. Reducing total opioid supply within communities should be given high priority by those with a mission to protect and improve public health.

Project description:BACKGROUND:In low-income countries such as Zambia, where maternal mortality rates are persistently high, maternity waiting homes (MWHs) represent one potential strategy to improve access to safe delivery, especially for women living in remote areas. The Maternity Homes Access in Zambia project (MAHMAZ) is evaluating the impact of a MWH model on women's access to safe delivery in rural Zambia. There is a growing need to understand not only the effectiveness of interventions but also the effectiveness of their implementation in order to appropriately interpret outcomes. There is little evidence to guide effective implementation of MWH for both immediate uptake and to promote sustainability in this context. This protocol describes a study that aims to investigate the effectiveness of the implementation of MAHMAZ by not only documenting fidelity but also identifying factors that influence implementation success and affect longer-term sustainability. METHODS:This study will use mixed methods to evaluate the implementation effectiveness and sustainability of the MAHMAZ intervention. In our study, "implementation effectiveness" means to expand beyond measuring fidelity to the MWH model and includes assessing both the adoption and uptake of the model and identifying those factors that facilitate or inhibit uptake. Sustainability is defined as the routine implementation of an intervention after external support has ended. Quantitative methods include extracting data from existing records at the MWHs and health facilities to analyze patterns of utilization, and conducting a routine health facility assessment to determine facility-level factors that may influence MWH implementation and woman-level outcomes. We will also conduct an experience survey with MWH users and apply a checklist to assess fidelity to the MWH model. Qualitative methods include in-depth interviews and focus group discussions with MWH users, community members and other stakeholders. Qualitative data will be analyzed using an integrated framework drawing constructs from the Consolidated Framework for Implementation Research and the Conceptual Framework for Sustainability. DISCUSSION:The findings from this evaluation will be shared with policymakers formulating policy affecting the implementation of MWH and may be used as evidence for programmatic decisions by the government and supporting agencies in deciding to take this model to scale. TRIAL REGISTRATION:NCT02620436, Registered 3 December 2015, Prospectively registered (clinicaltrials.gov; for the overarching quasi-experimental impact study).

Project description:ObjectivesTo assess an intervention for surgical antibiotic prophylaxis (SAP) improvement within surgical teams focused on addressing barriers and fostering enablers and ownership of guideline compliance.DesignThe Queensland Surgical Antibiotic Prophylaxis (QSAP) study was a multicentre, mixed methods study designed to address barriers and enablers to SAP compliance and facilitate engagement in self-directed audit/feedback and assess the efficacy of the intervention in improving compliance with SAP guidelines. The implementation was assessed using a 24-month interrupted time series design coupled with a qualitative evaluation.SettingThe study was undertaken at three hospitals (one regional, two metropolitan) in Australia.ParticipantsSAP-prescribing decisions for 1757 patients undergoing general surgical procedures from three health services were included. Six bimonthly time points, pre-implementation and post implementation of the intervention, were measured. Qualitative interviews were performed with 29 clinical team members. SAP improvements varied across site and time periods.InterventionQSAP embedded ownership of quality improvement in SAP within surgical teams and used known social influences to address barriers to and enablers of optimal SAP prescribing.ResultsThe site that reported senior surgeon engagement showed steady and consistent improvement in prescribing over 24 months (prestudy and poststudy). Multiple factors, including resource issues, influenced engagement and sites/time points where these were present had no improvement in guideline compliance.ConclusionsThe barriers-enablers-ownership model shows promise in its ability to facilitate prescribing improvements and could be expanded into other areas of antimicrobial stewardship. Senior ownership was a predictor of success (or failure) of the intervention across sites and time periods. The key role of senior leaders in change leadership indicates the critical need to engage other specialties in the stewardship agenda. The influence of contextual factors in limiting engagement clearly identifies issues of resource distributions/inequalities within health systems as limiting antimicrobial optimisation potential.

Dataset Information

Evaluating the implementation and effectiveness of a multi-component intervention to reduce post-surgical opioid prescribing: study protocol of a mixed-methods design.

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Evaluating the implementation and effectiveness of a multi-component intervention to reduce post-surgical opioid prescribing: study protocol of a mixed-methods design.

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