Discharge prescribing and subsequent opioid use after traumatic musculoskeletal injury.

OBJECTIVE: To investigate the effects of discharge opioid supply after surgery for musculoskeletal injury on subsequent opioid use. STUDY DESIGN: Instrumental variables analysis of retrospective administrative data. METHODS: Data were acquired on 1039 patients treated operatively for a musculoskeletal injury between 2011 and 2015 at 2 level I trauma centers. State registry data were used to track all postoperative opioid prescription fills. Discharge surgical resident was identified for each patient. We categorized residents in the top one-third of opioid prescribing as high-supply residents and others as low-supply residents, with adjustment for service attending physician and month. The primary outcome was subsequent opioid use, defined as new opioid prescriptions and cumulative prescribed opioid supply 7 to 8 months after injury. RESULTS: On average, patients of high-supply residents received an additional 96 morphine milligram equivalents (MME) at discharge (95% CI, 29-163 MME; P < .01), or 16% more, compared with patients of low-supply residents, which is equivalent to an additional 2-day supply at a typical dosage. In the seventh or eighth month after surgery, patients of high-supply residents received a greater total MME volume than patients of low-supply residents (difference, 13.0 MME; 95% CI, 3.1-22.9 MME; P < .01) despite receiving a greater cumulative supply of opioid medications through the sixth month after surgery. CONCLUSIONS: After surgery for musculoskeletal injury, patients discharged by residents who prescribe greater supplies of opioid pain medications received higher supplies of opioids 7 to 8 months after surgery than patients discharged by residents who tend to prescribe less. Thus, limiting postoperative supplies of opioid pain medication may help reduce chronic opioid use.

The Massachusetts Racial Equity Data Road Map: Data as a Tool Toward Ending Structural Racism.

BACKGROUND: In 2015, the Massachusetts Department of Public Health (MDPH) adopted a Title V maternal and child health priority to "promote health and racial equity by addressing racial justice and reducing disparities." A survey assessing staff capacity to support this priority identified data collection and use as opportunities for improvement. In response, MDPH initiated a quality improvement project to improve use of data for action to promote racial equity. METHODS: MDPH conducted value stream mapping to understand existing processes for using data to inform racial equity work. Key informant interviews and a survey of program directors identified challenges to using data to promote racial equity. MDPH used a cause-and-effect diagram to identify and organize challenges to using data to inform racial equity work and better understand opportunities for improvement and potential solutions. RESULTS: Key informants highlighted the need to consider structural factors and historical and community contexts when interpreting data. Program directors noted limited staff time, lack of performance metrics, competing priorities, low data quality, and unclear expectations as challenges. To address the identified challenges, the team identified potential solutions and prioritized development and piloting of the MDPH Racial Equity Data Road Map (Road Map). CONCLUSIONS: The Road Map framework provides strategies for data collection and use that support the direction of actionable data-driven resources to racial inequities. The Road Map is a resource to support programs to authentically engage communities; frame data in the broader contexts that impact health; and design solutions that address root causes. With this starting point, public health systems can work toward creating data-driven programs and policies to improve racial equity.

Methadone and buprenorphine discontinuation among postpartum women with opioid use disorder.

BACKGROUND: The postpartum year is a vulnerable period for women with opioid use disorder, with increased rates of fatal and nonfatal overdose; however, data on the continuation of medications for opioid use disorder on a population level are limited. OBJECTIVE: This study aimed to examine the effect of discontinuing methadone and buprenorphine in women with opioid use disorder in the year following delivery and determine the extent to which maternal and infant characteristics are associated with time to discontinuation of medications for opioid use disorder. STUDY DESIGN: This population-based retrospective cohort study used linked administrative data of 211,096 deliveries in Massachusetts between 2011 and 2014 to examine the adherence to medications for opioid use disorder. Individuals receiving medications for opioid use disorder after delivery were included in the study. Here, demographic, psychosocial, prenatal, and delivery characteristics are described. Kaplan-Meier survival analysis and Cox regression modeling were used to examine factors associated with medication discontinuation. RESULTS: A total of 2314 women who received medications for opioid use disorder at delivery were included in our study. Overall, 1484 women (64.1%) continued receiving medications for opioid use disorder for a full 12 months following delivery. The rate of continued medication use varied from 34% if women started on medications for opioid use disorder the month before delivery to 80% if the medications were used throughout pregnancy. Kaplan-Meier survival curves differed by maternal race and ethnicity (the 12-month continuation probability was .65 for White non-Hispanic women and .51 for non-White women; P<.001) and duration of use of prenatal medications for opioid use disorder (12-month continuation probability was .78 for women with full prenatal engagement and .60 and .44 for those receiving medications for opioid use disorder ≥5 months [but not throughout pregnancy] and ≤4 months prenatally, respectively; P<.001). In all multivariable models, duration of receipt of prenatal medications for opioid use disorder (≤4 months vs throughout pregnancy: adjusted hazard ratio, 3.26; 95% confidence interval, 2.72-3.91) and incarceration (incarceration during pregnancy or after delivery vs none: adjusted hazard ratio, 1.79; 95% confidence interval, 1.52-2.12) were most strongly associated with the discontinuation of medications for opioid use disorder. CONCLUSION: Almost two-thirds of women with opioid use disorder continued using medications for opioid use disorder for a full year after delivery; however, the rates of medication continuation varied significantly by race and ethnicity, degree of use of prenatal medications for opioid use disorder, and incarceration status. Prioritizing medication continuation across the perinatal continuum, enhancing sex-specific and family-friendly recovery supports, and expanding access to medications for opioid use disorder despite being incarcerated can help improve postpartum medication adherence.

The impact of the housing status on clinical outcomes and health care utilization among individuals living with HIV.

The lack of stable housing can impair access and continuity of care for patients living with human immunodeficiency virus (HIV). This study investigated the relationship between housing status assessed at multiple time points and several core HIV-related outcomes within the same group of HIV patients experiencing homelessness. Patients with consistently stable housing (CSH) during the year were compared to patients who lacked CSH (non-CSH group). The study outcomes included HIV viral load (VL), CD4 counts, and health care utilization. Multivariable and propensity weighted analyses were used to assess outcomes adjusting for potential group differences. Of 208 patients, 88 (42%) had CSH and 120 (58%) were non-CSH. Patients with CSH had significantly higher proportion of VL suppression and higher mean CD4 counts. The frequency of nurse visits in the CSH group was less than a half of that in the non-CSH group. Patients with CSH were less likely to be admitted to the medical respite facility, and if admitted, their length of stay was about a half of that for the non-CSH group. Our study findings show that patients with CSH had significantly better HIV virologic control and immune status as well as improved health care utilization.

A classification model of homelessness using integrated administrative data: Implications for targeting interventions to improve the housing status, health and well-being of a highly vulnerable population.

Homelessness is poorly captured in most administrative data sets making it difficult to understand how, when, and where this population can be better served. This study sought to develop and validate a classification model of homelessness. Our sample included 5,050,639 individuals aged 11 years and older who were included in a linked dataset of administrative records from multiple state-maintained databases in Massachusetts for the period from 2011-2015. We used logistic regression to develop a classification model with 94 predictors and subsequently tested its performance. The model had high specificity (95.4%), moderate sensitivity (77.8%) for predicting known cases of homelessness, and excellent classification properties (area under the receiver operating curve 0.94; balanced accuracy 86.4%). To demonstrate the potential opportunity that exists for using such a modeling approach to target interventions to mitigate the risk of an adverse health outcome, we also estimated the association between model predicted homeless status and fatal opioid overdoses, finding that model predicted homeless status was associated with a nearly 23-fold increase in the risk of fatal opioid overdose. This study provides a novel approach for identifying homelessness using integrated administrative data. The strong performance of our model underscores the potential value of linking data from multiple service systems to improve the identification of housing instability and to assist government in developing programs that seek to improve health and other outcomes for homeless individuals.

Assessment of Racial and Ethnic Disparities in the Use of Medication to Treat Opioid Use Disorder Among Pregnant Women in Massachusetts.

Importance: Racial and ethnic disparities persist across key health and substance use treatment outcomes for mothers and infants. The use of medications, such as methadone or buprenorphine, for the treatment of opioid use disorder (OUD) has been associated with improvements in the outcomes of mothers and infants; however, only half of all pregnant women with OUD receive these medications. The extent to which maternal race or ethnicity is associated with the use of medication to treat OUD, the duration of the use of medication to treat OUD, and the type of medication used to treat OUD during pregnancy are unknown. Objective: To examine the extent to which maternal race and ethnicity is associated with the use of medications for the treatment of OUD in the year before delivery among pregnant women with OUD. Design, Setting, and Participants: This retrospective cohort study used a linked population-level statewide data set of pregnant women with OUD who delivered a live infant in Massachusetts between October 1, 2011, and December 31, 2015. Of 274 234 total deliveries identified, 5247 deliveries among women with indicators of having OUD were included in the analysis. Maternal race and ethnicity were defined as white non-Hispanic, black non-Hispanic, or Hispanic based on self-reported data on birth certificates. Main Outcomes and Measures: Main outcomes were the receipt of any medication for OUD, the consistency of the use of medication (at least 6 continuous months of use before delivery, inconsistent use, or no use) for the treatment of OUD, and the type of medication (methadone or buprenorphine) used to treat OUD. Multivariable models were adjusted for maternal sociodemographic characteristics, comorbidities, and any significant interactions between the covariates and race and ethnicity. Results: The sample included 5247 pregnant women with OUD who delivered a live infant in Massachusetts during the study period. The mean (SD) maternal age at delivery was 28.7 (5.0) years; 4551 women (86.7%) were white non-Hispanic, 462 women (8.8%) were Hispanic, and 234 women (4.5%) were black non-Hispanic. A total of 3181 white non-Hispanic women (69.9%) received any type of medication for the treatment of OUD in the year before delivery compared with 228 Hispanic women (49.4%) and 108 black non-Hispanic women (46.2%). Compared with white non-Hispanic women, black non-Hispanic and Hispanic women had a substantially lower likelihood (adjusted odds ratio [aOR], 0.37; 95% CI, 0.28-0.49 and aOR, 0.42; 95% CI, 0.35-0.52, respectively) of receiving any medication for the treatment of OUD. Stratification by maternal age identified greater disparities among younger women. Black non-Hispanic and Hispanic women also had a lower likelihood (aOR, 0.24; 95% CI, 0.17-0.35 and aOR, 0.34; 95% CI, 0.27-0.44, respectively) of consistent use of medication for the treatment of OUD compared with white non-Hispanic women. With respect to the type of medication used to treat OUD, black non-Hispanic and Hispanic women had a lower likelihood (aOR, 0.60; 95% CI, 0.40-0.90 and aOR, 0.77; 95% CI, 0.58-1.01, respectively) than white non-Hispanic women of receiving buprenorphine treatment compared with methadone treatment. Conclusions and Relevance: This study found racial and ethnic disparities in the use of medications to treat OUD during pregnancy, with black non-Hispanic and Hispanic women significantly less likely to use medications consistently or at all compared with white non-Hispanic women. Further investigation of patient, clinician, treatment program, and system-level factors associated with these findings is warranted.

Opioid overdose and inpatient care for substance use disorder care in Massachusetts.

BACKGROUND: Inpatient treatment for substance use disorders is a collection of strategies ranging from short term detoxification to longer term residential treatment. How those with opioid use disorder (OUD) navigate this inpatient treatment system after an encounter for detoxification and subsequent risk of opioid-related overdose is not well understood. METHODS: We used a comprehensive Massachusetts database to characterize the movement of people with OUD through inpatient care from 2013 to 2015, identifying admissions to inpatient detoxification, subsequent inpatient care, and opioid overdose while navigating treatment. We measured the person-years accumulated during each transition period to calculate rates of opioid-related overdose, and investigated how overdose differed in select populations. RESULTS: Sixty-one percent of inpatient detoxification admissions resulted in a subsequent inpatient detoxification admission without progressing to further inpatient care. Overall, there were 287 fatal and 7337 non-fatal overdoses. Persons exiting treatment after detoxification had the greatest risk of overdose (17.3 per 100 person-years) compared to those who exited after subsequent inpatient care (ranging from 5.9 to 6.6 overdoses per 100 person-years). Non-Hispanic whites were most at risk for opioid related overdose with 16 overdoses per 100 person-years and non-Hispanic blacks had the lowest risk with 5 overdoses per 100 person-years. CONCLUSIONS: The majority of inpatient detoxification admissions do not progress to further inpatient care. Recurrent inpatient detoxification admission is common, likely signifying relapse. Rather than functioning as the first step to inpatient care, inpatient detoxification might be more effective as a venue for implementing strategies to expand addiction services or treatment such as medications for opioid use disorder.

Trends in opioid use disorder and overdose among opioid-naive individuals receiving an opioid prescription in Massachusetts from 2011 to 2014.

AIMS: To examine how the risks of incident opioid use disorder (OUD), non-fatal and fatal overdose have changed over time among opioid-naive individuals receiving an initial opioid prescription. DESIGN: Retrospective, longitudinal study using the Massachusetts Chapter 55 data set, which linked multiple administrative data sets to study the opioid epidemic. We identified the cumulative incidence of OUD, non-fatal and fatal overdose among the opioid-naive initiating opioid treatment in Massachusetts from 2011 to 2014 and estimated rates of these outcomes at 6 months and at 1, 2, 3 and 4 years to 2015. We used Cox regression to examine the association between characteristics of the initial prescription and risk of these outcomes. SETTING: Massachusetts, USA. PARTICIPANTS: Massachusetts residents aged ≥ 11 years in 2011-15 who were opioid-naive (no opioid prescriptions or evidence of OUD in the 6 months prior to the index prescription) (n = 2 154 426). The mean age was 49.1 years, 55.3% were female and 47.3% had commercial insurance. MEASUREMENTS: Opioid prescriptions were identified in the Prescription Monitoring Program (PMP) database, as were the characteristics of the initial prescription database. The outcomes of OUD and non-fatal overdose were identified from claims in the All Payer Claims Database (APCD) and hospital encounters in the acute hospital case mix files. Fatal overdoses were identified using Registry of Vital Records and Statistics (RVRS) death certificates and the Office of the Chief Medical Examiner (OCME) circumstances of death and toxicology reports. FINDINGS: Among opioid-naive individuals receiving an initial opioid prescription, the risk of incident OUD appears to have declined between 2011 and 2014, while rates of overdose were largely unchanged. For example, the 1-year OUD rate was 1.18% in 2011, 1.11% in 2012, 1.26% in 2013 and 0.94% in 2014. Longer therapy duration was associated with higher risk of OUD [hazard ratio (HR) = 2.24, 95% confidence interval (CI) = 2.19-2.29 for duration of 3 or more months], non-fatal (HR = 1.67, 95% CI = 1.53-1.82) and fatal opioid overdose (HR = 2.24, 95% CI = 1.91-2.61). Concurrent benzodiazepine treatment was also associated with higher risk of OUD (HR = 1.14, 95% CI = 1.12-1.17), non-fatal (HR = 1.20, 95% CI = 1.10-1.30) and fatal overdose (HR = 1.86, 95% CI = 1.61-2.16). CONCLUSIONS: Among opioid-naive individuals in Massachusetts receiving an initial opioid prescription, the risk of incident opioid use disorder appears to have declined between 2011 and 2014, while rates of overdose were largely unchanged. Longer therapy duration and concurrent benzodiazepines were associated with higher rates of opioid use disorder and opioid overdose.

Maternal and infant characteristics associated with maternal opioid overdose in the year following delivery.

BACKGROUND AND AIMS: Opioid-related overdose is increasingly linked to pregnancy-associated deaths, but factors associated with postpartum overdose are unknown. We aimed to estimate the strength of the association between maternal and infant characteristics and postpartum opioid-related overdose. DESIGN: Retrospective cohort study using a linked, population-level data set. SETTING: Massachusetts, United States. CONCLUSION: Among women who delivered live infants in Massachusetts, USA between 2012 and 2014, maternal diagnosis of OUD, prior non-fatal overdose, infant diagnosis of NAS and high unscheduled health-care utilization appeared to be positively associated with postpartum opioid overdose. However, more than half of postpartum overdoses in that period were to women without a diagnosis of OUD. Engagement in methadone or buprenorphine treatment in the month prior to delivery was not sufficient to reduce the odds of postpartum overdose. PARTICIPANTS: Women who delivered one or more live births from 2012 to 2014 (n = 174 517). MEASUREMENTS: The primary outcome was opioid-related overdose in the postpartum year. We used multivariable logistic regression to explore the independent associations of maternal (demographics, substance use, pregnancy) and infant [gestational age, birthweight, neonatal abstinence syndrome (NAS)] characteristics with postpartum opioid overdose. Findings were stratified by maternal opioid use disorder (OUD) diagnosis. FINDINGS: There were 189 deliveries to women who experienced ≥ 1 opioid overdose in the first year postpartum (11 of 10 000 deliveries). Among women with postpartum opioid overdose, 46.6% had an OUD diagnosis within 12 months before delivery. In our adjusted model, maternal diagnosis of OUD [adjusted odds ratio (aOR) = 3.61, 95% confidence interval (CI) = 1.73-7.51] and prior non-fatal overdose (aOR = 2.40, 95% CI = 1.11-5.17) were most strongly associated with postpartum overdose. After stratifying by OUD status, infant diagnosis of NAS (OUD+ aOR = 2.03, 95% CI = 1.26-3.27; OUD- aOR = 2.79, 95% CI = 1.12-6.93) and high unscheduled health-care utilization (OUD+ aOR = 2.27, 95% CI = 1.38-3.73; OUD- aOR = 2.11, 95% CI = 1.24-3.58) were positively associated with postpartum overdose in both groups.

Touchpoints - Opportunities to predict and prevent opioid overdose: A cohort study.

BACKGROUND: Medical care, public health, and criminal justice systems encounters could serve as touchpoints to identify and intervene with individuals at high-risk of opioid overdose death. The relative risk of opioid overdose death and proportion of deaths that could be averted at such touchpoints are unknown. METHODS: We used 8 individually linked data sets from Massachusetts government agencies to perform a retrospective cohort study of Massachusetts residents ages 11 and older. For each month in 2014, we identified past 12-month exposure to 4 opioid prescription touchpoints (high dosage, benzodiazepine co-prescribing, multiple prescribers, or multiple pharmacies) and 4 critical encounter touchpoints (opioid detoxification, nonfatal opioid overdose, injection-related infection, and release from incarceration). The outcome was opioid overdose death. We calculated Standardized Mortality Ratios (SMRs) and Population Attributable Fractions (PAFs) associated with touchpoint exposure. RESULTS: The cohort consisted of 6,717,390 person-years of follow-up with 1315 opioid overdose deaths. We identified past 12-month exposure to any touchpoint in 2.7% of person-months and for 51.8% of opioid overdose deaths. Opioid overdose SMRs were 12.6 (95% CI: 11.1, 14.1) for opioid prescription and 68.4 (95% CI: 62.4, 74.5) for critical encounter touchpoints. Fatal opioid overdose PAFs were 0.19 (95% CI: 0.17, 0.21) for opioid prescription and 0.37 (95% CI: 0.34, 0.39) for critical encounter touchpoints. CONCLUSIONS: Using public health data, we found eight candidate touchpoints were associated with increased risk of fatal opioid overdose, and collectively identified more than half of opioid overdose decedents. These touchpoints are potential targets for development of overdose prevention interventions.

Fatal and Nonfatal Overdose Among Pregnant and Postpartum Women in Massachusetts.

OBJECTIVE: To estimate fatal and nonfatal opioid overdose events in pregnant and postpartum women in Massachusetts, comparing rates in individuals receiving and not receiving pharmacotherapy for opioid use disorder (OUD). METHODS: We conducted a population-based retrospective cohort study using linked administrative and vital statistics databases in Massachusetts to identify women with evidence of OUD who delivered a liveborn neonate in 2012-2014. We described maternal sociodemographic, medical, and substance use characteristics, computed rates of opioid overdose events in the year before and after delivery, and compared overdose rates by receipt of pharmacotherapy with methadone or buprenorphine in the prenatal and postpartum periods. RESULTS: Among 177,876 unique deliveries, 4,154 (2.3%) were to women with evidence of OUD in the year before delivery, who experienced 242 total opioid-related overdose events (231 nonfatal, 11 fatal) in the year before or after delivery. The overall overdose rate was 8.0 per 100,000 person-days. Overdoses were lowest in the third trimester (3.3/100,000 person-days in the third trimester) and then increased in the postpartum period with the highest overdose rate 7-12 months after delivery (12.3/100,000 person-days). Overall, 64.3% of women with evidence of OUD in the year before delivery received any pharmacotherapy in the year before delivery. Women receiving pharmacotherapy had reduced overdose rates in the early postpartum period. CONCLUSION: Pregnant women in Massachusetts have high rates of OUD. The year after delivery is a vulnerable period for women with OUD. Additional longitudinal supports and interventions tailored to women in the first year postpartum are needed to prevent and reduce overdose events.

Massachusetts Dental Schools Respond to the Prescription Opioid Crisis: A Statewide Collaboration.

The prescription opioid crisis has involved all sectors of U.S. society, affecting every community, socioeconomic group, and age group. While federal and state agencies are actively working to deal with the epidemic, medical and dental providers have been tasked to increase their awareness of the issues and consider ways to safely prescribe opioids and, at the same time, effectively treat their patients' pain. The Commonwealth of Massachusetts, under the leadership of Governor Charles D. Baker and his administration, challenged the state's four medical schools and three dental schools to improve their curricula to prepare the next generation of clinicians to deal with this crisis in an evidence-based, effective, and sympathetic way. This Perspectives article outlines the national prescription opioid crisis, details its effects in Massachusetts, and describes the interdisciplinary collaboration among the Commonwealth, the three dental schools, the Massachusetts Dental Society, and a concerned student group. The article also describes the efforts each dental school is undertaking as well as an assessment of the challenges and limitations in implementing the initiative. The authors hope that the Massachusetts model will be a useful resource for dental schools in other states.

Comparison of Patient Experience between a Practice for Homeless Patients and Other Practices Engaged in a Patient-Centered Medical Home Initiative.

Despite its increasing popularity, little is known about the patient-centered medical home (PCMH) model in primary care settings serving homeless populations. Our objective was to understand how patient experience differs between a PCMH demonstration practice designed for homeless people in Massachusetts and other practices participating in the same statewide initiative. The study population included 194 homeless patients and 1,868 patients from comparison practices. Patient experience was compared on key measures of patient-centeredness, while applying case-mix adjustment to control for sociodemographic and clinical factors. The practice for homeless patients scored higher than the comparison group on self-management support and behavioral health integration, while being equivalent on three other measures. Potential areas for improvement include measures related to communication, front desk staff, and timely appointments. We discuss possible explanations for the observed pattern of results in the context of the unique challenges faced by a practice designed to serve individuals experiencing homelessness.

Cost of health care utilization among homeless frequent emergency department users.

Research demonstrates that homelessness is associated with frequent use of emergency department (ED) services, yet prior studies have not adequately examined the relationship between frequent ED use and utilization of non-ED health care services among those experiencing homelessness. There has also been little effort to assess heterogeneity among homeless individuals who make frequent use of ED services. To address these gaps, the present study used Medicaid claims data from 2010 to estimate the association between the number of ED visits and non-ED health care costs for a cohort of 6,338 Boston Health Care for the Homeless Program patients, and to identify distinct subgroups of persons in this cohort who made frequent use of ED services based on their clinical and demographic characteristics. A series of gamma regression models found more frequent ED use to be associated with higher non-ED costs, even after adjusting for demographic and clinical characteristics. Latent class analysis was used to examine heterogeneity among frequent ED users, and the results identified 6 characteristically distinct subgroups among these persons. The subgroup of persons with trimorbid illness had non-ED costs that far exceeded members of all 5 other subgroups. Study findings reinforce the connection between frequent ED use and high health care costs among homeless individuals and suggest that different groups of homeless frequent ED users may benefit from interventions that vary in terms of their composition and intensity. (PsycINFO Database Record

Developing Core Competencies for the Prevention and Management of Prescription Drug Misuse: A Medical Education Collaboration in Massachusetts.

Drug overdose has become the leading cause of injury death in the United States. More than half of those deaths involve prescription drugs, specifically opioids. A key component of addressing this national epidemic is improving prescriber practices.A review of the curricula at the four medical schools in Massachusetts revealed that, although they taught components of addiction medicine, no uniform standard existed to ensure that all students were taught prevention and management strategies for prescription drug misuse. To fill this gap, the governor and the secretary of health and human services invited the deans of the state's four medical schools to convene to develop a common educational strategy for teaching safe and effective opioid-prescribing practices. With leadership from the Department of Public Health and Massachusetts Medical Society, the deans formed the Medical Education Working Group in 2015. This group reviewed the relevant literature and current standards for treating substance use disorders and defined 10 core competencies for the prevention and management of prescription drug misuse.The medical schools have incorporated these competencies into their curricula and have committed to assessing students' competence in these areas. The members of the Medical Education Working Group have agreed to continue to work together on key next steps, including connecting these competencies to those for residents, equipping interprofessional teams to address prescription drug misuse, and developing materials in pain management and opioid misuse for practicing physicians. This first-in-the-nation partnership has yielded cross-institutional competencies that aim to address a public health emergency in real time.

Using Best-Worst Scaling to Understand Patient Priorities: A Case Example of Papanicolaou Tests for Homeless Women.

PURPOSE: Best-worst scaling (BWS) is a survey method for assessing individuals' priorities. It identifies the extremes-best and worst items, most and least important factors, biggest and smallest influences-among sets. In this article, we demonstrate an application of BWS in a primary care setting to illustrate its use in identifying patient priorities for services. METHODS: We conducted a BWS survey in 2014 in Boston, Massachusetts, to assess the relative importance of 10 previously identified attributes of Papanicolaou (Pap) testing services among women experiencing homelessness. Women were asked to evaluate 11 sets of 5 attributes of Pap services, and identify which attribute among each set would have the biggest and smallest influence on promoting uptake. We show how frequency analysis can be used to analyze results. RESULTS: In all, 165 women participated, a response rate of 72%. We identified the most and least salient influences on encouraging Pap screening based on their frequency of report among our sample, with possible standardized scores ranging from+1.0 (biggest influence) to -1.0 (smallest influence). Most important was the availability of support for issues beyond health (+0.39), while least important was the availability of accommodations for personal hygiene (-0.27). CONCLUSIONS: BWS quantifies patient priorities in a manner that is transparent and accessible. It is easily comprehendible by patients and relatively easy to administer. Our application illustrates its use in a vulnerable population, showing that factors beyond those typically provided in health care settings are highly important to women in seeking Pap screening. This approach can be applied to other health care services where prioritization is helpful to guide decisions.