Towards a shared understanding of the learning health system in a large academic-based health system: A qualitative analysis.

Healthcare delivery is currently undergoing major structural reform, and the Learning Health System (LHS) has been proposed as an aspirational model to guide healthcare transformation. As efforts to build LHS take considerable investment from health systems, it is critical to understand their leaders' perspectives on the rationale for pursuing an LHS and the potential benefits for doing so. This paper describes the qualitative analysis of semi-structured interviews (n = 17) with health system leaders about their general perceptions of the LHS, description of key attributes and potential benefits, and perception of barriers to and facilitators for advancing the model. Participants universally endorsed the goal of the local health system aspiring to become an LHS. Participants identified many recognized attributes of LHS, though they emphasized unique attributes and potential benefits. There was also heterogeneity in participants' views on what to prioritize, how to structure the local LHS within existing initiatives, and how new initiatives should be implemented. Improving conceptual clarity of attributes of the LHS would improve its potential in guiding future reform.

Patient-level factors associated with hemoglobin A1C testing in Alabama Medicaid beneficiaries with diabetes.

AIM: We evaluated patient-level factors associated with receipt of hemoglobin A1c (HbA1c) testing among Alabama Medicaid beneficiaries with type 2 diabetes. METHODS: We conducted a retrospective analysis of person-year observations from Medicaid claims data from 2011 to 2020. Adults aged 19-64 years with type 2 diabetes and continuous enrollment in Medicaid for study year and year prior were included. Primary outcomes were ≥ 1 and ≥ 2 HbA1c test(s) per year. We conducted multivariable Poisson regression stratified by Medicaid eligibility reason (disability, poverty) examining the association of study year, demographics, clinical factors, and healthcare utilization with HbA1c testing. RESULTS: We analyzed 288,379 observations, 51% with disability-based, 49% poverty-based eligibility. Overall, 57% observations had ≥ 1 HbA1c, 35% had ≥ 2 HbA1c tests. More observations with disability-based than poverty-based eligibility had ≥ 1 (76% vs. 38%) and ≥ 2 HbA1c tests (49% vs. 20%). Patient-level factors were associated with a higher likelihood of having ≥ 1 HbA1c: Black race and older age (disability-based eligibility); year after 2011, female sex, and younger age (poverty-based eligibility); and rurality, insulin use, endocrinology care, diabetes complications, and ambulatory care visits (both groups). CONCLUSIONS: Just over one-third of adult Alabama Medicaid beneficiaries with diabetes had ≥ 2 HbA1c tests per year; testing frequency differed by Medicaid eligibility.

Trends and Predictors of Glycemic Control Among Adults With Type 2 Diabetes Covered by Alabama Medicaid, 2011-2019.

INTRODUCTION: Despite advances in diabetes management, only one-quarter of people with diabetes in the US achieve optimal targets for glycated hemoglobin A1c (HbA1c), blood pressure, and cholesterol. We sought to evaluate temporal trends and predictors of achieving glycemic control among adults with type 2 diabetes covered by Alabama Medicaid from 2011 through 2019. METHODS: We completed a retrospective analysis of Medicaid claims and laboratory data, using person-years as the unit of analysis. Inclusion criteria were being aged 19 to 64 years, having a diabetes diagnosis, being continuously enrolled in Medicaid for a calendar year and preceding 12 months, and having at least 1 HbA1c result during the study year. Primary outcomes were HbA1c thresholds of <7% and <8%. Primary exposure was study year. We conducted separate multivariable-adjusted logistic regressions to evaluate relationships between study year and HbA1c thresholds. RESULTS: We included 43,997 person-year observations. Mean (SD) age was 51.0 (9.9) years; 69.4% were women; 48.1% were Black, 42.9% White, and 0.4% Hispanic. Overall, 49.1% had an HbA1c level of <7% and 64.6% <8%. Later study years and poverty-based eligibility were associated with lower probability of reaching target HbA1c levels of <7% or <8%. Sex, race, ethnicity, and geography were not associated with likelihood of reaching HbA1c <7% or <8% in any model. CONCLUSION: Later study years were associated with lower likelihood of meeting target HbA1c levels compared with 2011, after adjusting for covariates. With approximately 35% not meeting an HbA1c target of <8%, more work is needed to improve outcomes of low-income adults with type 2 diabetes.

Measuring continuity of care for diabetes: which visits to include?

OBJECTIVES: Continuity of care measures are widely used to evaluate the quality of health care delivery, but which visits are included vary across studies. Our objective was to determine how the provider specialties included affect continuity values, year-to-year stability, and association with emergency department (ED) visits. STUDY DESIGN: Retrospective study of Alabama Medicaid administrative data. METHODS: We included beneficiaries with diabetes who had at least 3 outpatient visits in each of 2018 and 2019 (N = 9578). We defined 3 provider groupings: all providers, diabetes-broad (primary care, cardiology, neurology, endocrinology, ophthalmology, nephrology, and psychiatry), and diabetes-narrow (primary care and endocrinology). Continuity of care was calculated using the Continuity of Care Index (COCI) for each provider grouping. We compared correlation between measures and from year to year using Spearman correlations, and we used multivariable logistic regression to determine association with ED visits. RESULTS: The mean COCI was 0.54 using visits with all providers, 0.64 with diabetes-broad providers, and 0.83 with diabetes-narrow providers. COCI with diabetes-narrow providers was moderately correlated with the broader sets of providers (Spearman ρ, 0.52-0.65). Comparing each participant's COCI in 2018 with that in 2019, the mean intraperson difference was similar (0.16-0.22), and correlation was moderate (Spearman ρ, 0.41-0.47) for each measure. COCI had similar weak association with ED visits using each provider grouping (odds ratio, 0.99; 95% CI, 0.98-0.99 for each 0.1-unit difference in COCI). CONCLUSIONS: Continuity values differed substantially depending on which provider specialties were included. The importance of this variation is uncertain, as continuity was weakly associated with ED visits using each of the measures.

ASA Physical Status Determination by General Internists and Impact on Cardiac Risk Assessment.

OBJECTIVES: Estimating cardiac risk is important for preoperative evaluation, and several risk calculators incorporate the American Society of Anesthesiologists (ASA) physical status score. The purpose of this study was to determine the concordance of ASA scores assigned by general internists and anesthesiologists and assess whether discrepancies affected cardiac risk estimation. METHODS: This observational study included military veterans evaluated in a preoperative evaluation clinic at a single center during a 12-month period. ASA scores were recorded by General Internal Medicine residents under the supervision of a General Internal Medicine attending, performing a preoperative medical consultation, and were compared with ASA scores assigned by an anesthesiologist on the day of surgery. ASA scores and Gupta Cardiac Risk Scores incorporating each ASA score were compared. RESULTS: Data were collected on 206 patients, 163 of whom had surgery within 90 days and were included. ASA scores were concordant in 60 patients (37.3%), whereas the ASA scores were rated lower by the general internist in 101 (62.0%) and higher in 2 (1.2%). Interrater reliability was low (κ = 0.08), and general internist scores were significantly lower than anesthesiologist scores (P < 0.01). Gupta Cardiac Risk Scores were calculated for 160 patients, and they exceeded 1% in 14 patients using the anesthesiologist ASA score, compared with 5 patients using the general internist score. CONCLUSIONS: ASA scores assigned by general internists in this study were significantly lower than those assigned by anesthesiologists, and these discrepancies in the ASA score can lead to substantially different conclusions about cardiac risk.

Insights for Conducting Large-Scale Surveys with Veterans Who Have Experienced Homelessness.

Surveys of underserved patient populations are needed to guide quality improvement efforts but are challenging to implement. The goal of this study was to describe recruitment and response to a national survey of Veterans with homeless experience (VHE). We randomly selected 14,340 potential participants from 26 U.S. Department of Veterans Affairs (VA) facilities. A survey contract organization verified/updated addresses from VA administrative data with a commercial address database, then attempted to recruit VHE through 4 mailings, telephone follow-up, and a $10 incentive. We used mixed-effects logistic regressions to test for differences in survey response by patient characteristics. The response rate was 40.2% (n=5,766). Addresses from VA data elicited a higher response rate than addresses from commercial sources (46.9% vs 31.2%, p<.001). Residential addresses elicited a higher response rate than business addresses (43.8% vs 26.2%, p<.001). Compared to non-respondents, respondents were older, less likely to have mental health, drug, or alcohol conditions, and had fewer VA housing and emergency service visits. Collectively, our results indicated a national mailed survey approach is feasible and successful for reaching VA patients who have recently experienced homelessness. These findings offer insight into how health systems can obtain perspectives of socially disadvantaged groups.

Higher Pain Catastrophizing and Preoperative Pain is Associated with Increased Risk for Prolonged Postoperative Opioid Use.

BACKGROUND: Prolonged postoperative opioid use (PPOU) is considered an unfavorable post-surgical outcome. Demographic, clinical, and psychosocial factors have been associated with PPOU, but methods to prospectively identify patients at increased risk are lacking. OBJECTIVES: Our objective was to determine whether an individual or a combination of several psychological factors could identify a subset of patients at increased risk for PPOU. STUDY DESIGN: Observational cohort study with prospective baseline data collection and passive outcomes data collection. SETTING: A single VA medical center in the United States. METHODS: Patients were recruited from a preoperative anesthesia clinic where they were undergoing evaluation prior to elective surgery, and they completed a survey before surgery. The primary outcome was PPOU, defined as outpatient receipt of a prescribed opioid 31 to 90 days after surgery as determined from pharmacy records. Primary covariates of interest were pain catastrophizing, self-efficacy, and optimism. Additional covariates included social and demographic factors, pain severity, medication use, depression, anxiety, and surgical fear. RESULTS: Of 123 patients included in the final analyses, 30 (24.4%) had PPOU. In bivariate analyses, preoperative opioid use and preoperative nonsteroidal anti-inflammatory drug use were significantly associated with PPOU. The combination of high pain catastrophizing and high preoperative pain (OR 3.32, 95% CI 1.41 - 7.79) was associated with higher odds of PPOU than either alone, and the association remained significant after adjusting for preoperative opioid use (OR 2.56, 95% CI 1.04 - 6.29). LIMITATIONS: Patients were recruited from a single site, and the sample was not large enough to include potentially important variables such as procedure type. CONCLUSIONS: A combination of high pain catastrophizing and high preoperative pain has the potential to be a clinically useful means of identifying patients at elevated risk of PPOU.

Sensitivity of health records for self-reported nonfatal drug and alcohol overdose.

BACKGROUND AND OBJECTIVES: Public health surveillance for overdose sometimes depends on nonfatal drug overdoses recorded in health records. However, the proportion of total overdoses identified through health record systems is unclear. Comparison of overdoses from health records to those that are self-reported may provide insight on the proportion of nonfatal overdoses that are not identified. METHODS: We conducted a cohort study linking survey data on overdose from a national survey of Veterans to United States Department of Veterans Affairs (VA) health records, including community care paid for by VA. Self-reported overdose in the prior 3 years was compared to diagnostic codes for overdoses and substance use disorders in the same time period. RESULTS: The sensitivity of diagnostic codes for overdose, compared to self-report as a reference standard for this analysis, varied by substance: 28.1% for alcohol, 23.1% for sedatives, 12.0% for opioids, and 5.5% for cocaine. There was a notable concordance between substance use disorder diagnoses and self-reported overdose (sensitivity range 17.9%-90.6%). DISCUSSION AND CONCLUSIONS: Diagnostic codes in health records may not identify a substantial proportion of drug overdoses. A health record diagnosis of substance use disorder may offer a stronger inference regarding the size of the population at risk. Alternatively, screening for self-reported overdose in routine clinical care could enhance overdose surveillance and targeted intervention. SCIENTIFIC SIGNIFICANCE: This study suggests that diagnostic codes for overdose are insensitive. These findings support consideration of alternative approaches to overdose surveillance in public health.

What do Veterans with homeless experience want us to know that we are not asking? A qualitative content analysis of comments from a national survey of healthcare experience.

Surveys of people who experience homelessness can portray their life and healthcare experiences with a level of statistical precision; however, few have explored how the very same surveys can deliver qualitative insights as well. In responding to surveys, people experiencing homelessness can use the margins to highlight health and social concerns that investigators failed to anticipate that standard question batteries miss. This study describes the unprompted comments of a large national survey of Veterans with homeless experiences. The Primary Care Quality-Homeless Services Tailoring (PCQ-HOST) survey presented 85 close-ended items to solicit social and psychological experiences, health conditions, and patient ratings of primary care. Amongst 5377 Veterans responding to the paper survey, 657 (12%) offered 1933 unprompted comments across nearly all domains queried. Using a team-based content analysis approach, we coded and organised survey comments by survey domain, and identified emergent themes. Respondents used comments for many purposes. They noted when questions called for more nuanced responses than those allowed, especially 'sometimes' or 'not applicable' on sensitive questions, such as substance use, where recovery status was not queried. On such matters, the options of 'no' and 'yes' failed to capture important contextual and historical information that mattered to respondents, such as being in recovery. Respondents also elaborated on negative and positive care experiences, often naming specific clinics or clinicians. This study highlights the degree to which members of vulnerable populations, who participate in survey research, want researchers to know the reasons behind their responses and topics (like chronic pain and substance use disorders) that could benefit from open-ended response options. Understanding patient perspectives can help improve care. Quantitative data from surveys can provide statistical precision but may miss key patient perspectives. The content that patients write into survey margins can highlight shortfalls of a survey and point towards future areas of inquiry. Veterans with homeless experience want to provide additional detail about their lives and care experiences in ways that transcend the boundaries of close-ended survey questions. Questions on substance use proved especially likely to draw comments that went beyond the permitted response options, often to declare that the respondent was in recovery. Respondents frequently clarified aspects of their care experiences related to pain, pain care, transportation and experiences of homelessness.

Insomnia severity and depressive symptoms in people living with HIV and chronic pain: associations with opioid use.

Chronic pain commonly occurs in people living with HIV (PLWH). Many PLWH in the United States obtain opioids for chronic pain management. Whether insomnia severity and depressive symptoms are exacerbated by chronic pain and opioid use in PLWH remains to be determined. This study examined insomnia severity and depressive symptoms in 85 PLWH with chronic pain and 35 PLWH without chronic pain. Among PLWH with chronic pain, reported opioid use was examined in relation to insomnia severity and depressive symptoms. PLWH with chronic pain reported significantly greater insomnia severity (p = .033) and depressive symptoms (p = .025) than PLWH without chronic pain. Among PLWH with chronic pain who reported opioid use (n = 36), insomnia severity was greater compared to those who denied opioid use (n = 49), even after controlling for pain severity and number of comorbidities (p = .026). Greater pain severity was significantly associated with greater insomnia severity (p < .001) and depressive symptoms (p = .048) among PLWH with chronic pain who reported opioid use. These associations were not significant among those PLWH with chronic pain who denied opioid use. Findings suggest that PLWH with chronic pain are likely to experience poor sleep and depressed mood. Furthermore, poor sleep was associated with opioid use among PLWH with chronic pain.

Primary care visits and ambulatory care sensitive diabetes hospitalizations among adult Alabama Medicaid beneficiaries.

PURPOSE: To describe patterns of care use for Alabama Medicaid adult beneficiaries with diabetes and the association between primary care utilization and ambulatory care sensitive (ACS) diabetes hospitalizations. METHODS: This retrospective cohort study analyzes Alabama Medicaid claims data from January 2010 to April 2018 for 52,549 covered adults ages 19-64 with diabetes. Individuals were characterized by demographics, comorbidities, and health care use including primary, specialty, mental health and hospital care. Characteristics of those with and without any ACS diabetes hospitalization are reported. A set of 118,758 observations was created, pairing information on primary care use in one year with ACS hospitalizations in the following year. Logistic regression analysis was used to assess the impact of primary care use on the occurrence of an ACS hospitalization. RESULTS: One third of the cohort had at least one ACS diabetes hospitalization over their observed periods; hospital users tended to have multiple ACS hospitalizations. Hospital users had more comorbidities and pharmaceutical and other types of care use than those with no ACS hospitalizations. Controlling for other types of care use, comorbidities and demographics, having a primary care visit in one year was significantly associated with a reduced likelihood of ACS hospitalization in the following year (odds ratio comparing 1-2 visits versus none 0.79, 95% confidence interval 0.73-0.85). CONCLUSIONS: Program and population health interventions that increase access to primary care can have a beneficial effect of reducing excess inpatient hospital use for Medicaid covered adults with diabetes.

Characteristics Associated With Unsheltered Status Among Veterans.

INTRODUCTION: Unsheltered homelessness is a strongly debated public issue. The study objective is to identify personal and community characteristics associated with unsheltered homelessness in veterans and to test for interactions between these characteristics. METHODS: In a 2018 national survey of U.S. veterans with homeless experiences; investigators assessed unsheltered time; psychosocial characteristics; and community measures of shelter access, weather, and rental affordability. Associations between these characteristics and unsheltered status were tested in July-August 2020. This study also tested whether the count of personal risk factors interacted with community characteristics in predicting unsheltered status. RESULTS: Among 5,406 veterans, 481 (8.9%) reported ≥7 nights unsheltered over 6 months. This group was more likely to report criminal justice history, poor social support, medical and drug problems, financial hardship, and being unmarried. Their communities had poorer shelter access and warmer temperatures. The likelihood of unsheltered experience rose with risk factor count from 2.0% (0-1) to 8.4% (2-3) and to 24.2% (4-11). Interaction tests showed that the increase was greater for communities with warmer weather and higher rents (p<0.05). CONCLUSIONS: Among veterans experiencing homelessness, unsheltered experiences correlate with individual and community risk factors. Communities wishing to address unsheltered homelessness will need to consider action at both levels.

Designing a Strategy Trial for the Management of Gout: The Use of a Modified Delphi Panel.

OBJECTIVE: Disagreement exists between rheumatology and primary care societies regarding gout management. This paper describes a formal process for gathering input from stakeholders in the planning of a trial to compare gout management strategies. METHODS: We recruited patients, nurses, physician assistants, primary care clinicians, and rheumatologists to participate in a modified Delphi panel (mDP) to provide input on design of a trial focused on optimal management for primary care patients with gout. The 16 panelists received a plain-language briefing document that discussed the rationale for the trial, key clinical issues in gout, and aspects of trial design. The panelists also received information and considerations on nine voting questions (VQs), judged to be the key design questions. Cognitive interviews with panelists ensured that the VQs were understood by the range of panelists involved in the mDP. Panelists were asked to score all VQs from 1 (definitely no) to 9 (definitely yes). Two voting rounds were conducted-round 1 by email and round 2 by video conference. RESULTS: The VQs were modified through the cognitive interviews. The round 1 voting resulted in consensus on eight items, with consensus defined as median voting score in the same tercile (1-3, 4-6 or 7-9). Re-voting at the meeting (round 2) reached consensus on the remaining item. CONCLUSION: An mDP with various stakeholders facilitated consensus on the design of a trial of different management strategies for chronic gout. This method may be useful for designing trials of clinical questions with substantial disagreement across stakeholders.

Comparison of Patient Experience Between Primary Care Settings Tailored for Homeless Clientele and Mainstream Care Settings.

BACKGROUND: More than 1 million Americans receive primary care from federal homeless health care programs yearly. Vulnerabilities that can make care challenging include pain, addiction, psychological distress, and a lack of shelter. Research on the effectiveness of tailoring services for this population is limited. OBJECTIVE: The aim was to examine whether homeless-tailored primary care programs offer a superior patient experience compared with nontailored ("mainstream") programs overall, and for highly vulnerable patients. RESEARCH DESIGN: National patient survey comparing 26 US Department of Veterans Affairs (VA) Medical Centers' homeless-tailored primary care ("H-PACT"s) to mainstream primary care ("mainstream PACT"s) at the same locations. PARTICIPANTS: A total of 5766 homeless-experienced veterans. MEASURES: Primary care experience on 4 scales: Patient-Clinician Relationship, Cooperation, Accessibility/Coordination, and Homeless-Specific Needs. Mean scores (range: 1-4) were calculated and dichotomized as unfavorable versus not. We counted key vulnerabilities (chronic pain, unsheltered homelessness, severe psychological distress, and history of overdose, 0-4), and categorized homeless-experienced veterans as having fewer (≤1) and more (≥2) vulnerabilities. RESULTS: H-PACTs outscored mainstream PACTs on all scales (all P<0.001). Unfavorable care experiences were more common in mainstream PACTs compared with H-PACTs, with adjusted risk differences of 11.9% (95% CI=6.3-17.4), 12.6% (6.2-19.1), 11.7% (6.0-17.3), and 12.6% (6.2-19.1) for Relationship, Cooperation, Access/Coordination, and Homeless-Specific Needs, respectively. For the Relationship and Cooperation scales, H-PACTs were associated with a greater reduction in unfavorable experience for patients with ≥2 vulnerabilities versus ≤1 (interaction P<0.0001). CONCLUSIONS: Organizations that offer primary care for persons experiencing homelessness can improve the primary care experience by tailoring the design and delivery of services.

Low Uptake of Secure Messaging Among Veterans With Experiences of Homelessness and Substance Use Disorders.

OBJECTIVES: Persons who are homeless have significant health challenges and barriers accessing care. Secure messaging supports communication between patients and their providers through a web-based portal, but the acceptability of this technology among patients with high prevalence of substance use disorders (SUDs) is unknown. We examined secure messaging use among veterans with experiences of homelessness (VEHs), and determined factors associated with messaging use. METHODS: We conducted a cross-sectional analysis of responses to a national survey of VEHs, administered by mail from March to October 2018 (response rate = 40.2%). One item assessed secure messaging use and satisfaction. We used multivariable logistic regressions to model secure messaging use, controlling for sociodemographics, medical conditions, housing indicators, and mental health and SUD diagnoses. RESULTS: Of 5072 VEHs, 21% had ever used secure messaging and 87% of the subsample found messaging to be useful. Secure messaging was more commonly used by VEHs who were female, had some college education, those with ≥3 chronic medical conditions, depression, or posttraumatic stress disorder (all P < 0.001). Messaging was much less common for VEHs ages 55 to 64 or older, non-Latino Blacks, those receiving homeless-tailored primary care, and those with SUDs (all P < 0.001). VEHs with opioid use disorder were even less likely than those with other SUDs to use secure messaging (P = 0.047). CONCLUSIONS: Persons with homeless experiences might require assistance to engage with secure messaging technology. As health systems limit in-person care during a national pandemic, alternative solutions may be needed to facilitate health communications and prevent care disruptions for patients experiencing homelessness and SUDs.

Social support and diabetes distress among adults with type 2 diabetes covered by Alabama Medicaid.

AIMS: Diabetes distress affects approximately 36% of adults with diabetes and is associated with worse diabetes self-management and poor glycaemic control. We characterized participants' diabetes distress and studied the relationship between social support and diabetes distress. METHODS: In this cross-sectional study, we surveyed a population-based sample of adults with type 2 diabetes covered by Alabama Medicaid. We used the Diabetes Distress Scale assessing emotional burden, physician-related, regimen-related and interpersonal distress. We assessed participants' level of diabetes-specific social support and satisfaction with this support, categorized as low or moderate-high. We performed multivariable logistic regression of diabetes distress by level of and satisfaction with social support, adjusting for demographics, disease severity, self-efficacy and depressive symptoms. RESULTS: In all, 1147 individuals participated; 73% were women, 41% White, 58% Black and 3% Hispanic. Low level of or satisfaction with social support was reported by 11% of participants; 7% of participants had severe diabetes distress. Participants with low satisfaction with social support were statistically significantly more likely to have severe diabetes distress than those with moderate-high satisfaction, adjusted odds ratio 2.43 (95% CI 1.30, 4.54). CONCLUSIONS: Interventions addressing diabetes distress in adults with type 2 diabetes may benefit from a focus on improving diabetes-specific social support.

Prevalence of and Risk Factors Associated With Nonfatal Overdose Among Veterans Who Have Experienced Homelessness.

Importance: Individuals with a history of homelessness are at increased risk for drug or alcohol overdose, although the proportion who have had recent nonfatal overdose is unknown. Understanding risk factors associated with nonfatal overdose could guide efforts to prevent fatal overdose. Objectives: To determine the prevalence of recent overdose and the individual contributions of drugs and alcohol to overdose and to identify characteristics associated with overdose among veterans who have experienced homelessness. Design, Setting, and Participants: This survey study was conducted from November 15, 2017, to October 1, 2018, via mailed surveys with telephone follow-up for nonrespondents. Eligible participants were selected from the records of 26 US Department of Veterans Affairs medical centers and included veterans who had received primary care at 1 of these Veterans Affairs medical centers and had a history of experiencing homelessness according to administrative data. Preliminary analyses were conducted in October 2018, and final analyses were conducted in January 2020. Main Outcomes and Measures: Self-report of overdose (such that emergent medical care was obtained) in the previous 3 years and substances used during the most recent overdose. All percentages are weighted according to propensity to respond to the survey, modeled from clinical characteristics obtained in electronic health records. Results: A total of 5766 veterans completed the survey (completion rate, 40.2%), and data on overdose were available for 5694 veterans. After adjusting for the propensity to respond to the survey, the mean (SD) age was 56.4 (18.3) years; 5100 veterans (91.6%) were men, 2225 veterans (38.1%) were black, and 2345 veterans (40.7%) were white. A total of 379 veterans (7.4%) reported any overdose during the past 3 years; 228 veterans (4.6%) reported overdose involving drugs, including 83 veterans (1.7%) who reported overdose involving opioids. Overdose involving alcohol was reported by 192 veterans (3.7%). In multivariable analyses, white race (odds ratio, 2.44 [95% CI, 2.00-2.98]), self-reporting a drug problem (odds ratio, 1.66 [95% CI, 1.39-1.98]) or alcohol problem (odds ratio, 2.54 [95% CI, 2.16-2.99]), and having witnessed someone else overdose (odds ratio, 2.34 [95% CI, 1.98-2.76]) were associated with increased risk of overdose. Conclusions and Relevance: These findings suggest that nonfatal overdose is relatively common among veterans who have experienced homelessness. While overdose involving alcohol was more common than any specific drug, 1.7% of veterans reported overdose involving opioids. Improving access to addiction treatment for veterans who are experiencing homelessness or who are recently housed, especially for those who have experienced or witnessed overdose, could help to protect this population.

Surgeons' Views on Shared Decision-Making.

PURPOSE: Shared decision-making (SDM) has a significant role in surgical encounters, where decisions are influenced by both clinician and patient preferences. Herein, we sought to explore surgeons' practices and beliefs about SDM. METHODS: We performed a qualitative study consisting of semi-structured individual interviews with 18 surgeons from private practice and academic surgery practices in Baltimore, Maryland. We purposively sampled participants to maximize diversity of practice type (academic vs private), surgical specialty, gender, and experience level. Interview topics included benefits and challenges to patient involvement in decision-making, communicating uncertainty to patients, and use of decision aids. Interviews were audio-recorded and transcribed. Transcripts were analyzed using content analysis to identify themes. RESULTS: Surgeons were supportive of patients being involved in decision-making, particularly in cases with uncertainty about treatment options. However, surgeons identified SDM as being more appropriate for patients whom surgeons perceived as interested in decision-making involvement and for decisions in which surgeons did not have strong preferences. Additionally, surgeons reported typically presenting only a subset of available options, remaining confident in their ability to filter less suitable options based on intuitive risk assessments. Surgeons differed in their approach to making recommendations, with some guiding patients towards what they saw as the correct or optimal decision while others sought to maintain neutrality and support of the patients' chosen decision. CONCLUSIONS: Many surgeons do not believe SDM is universally optimal for every surgical decision. They instead use assessments of patient disposition or potential clinical uncertainty to guide their perceived appropriateness of using SDM.

Medicaid Expansion and Hospitalization for Ambulatory Care-Sensitive Conditions Among Nonelderly Adults With Diabetes.

Among nonelderly adults with diabetes, we compared hospitalizations for ambulatory care-sensitive conditions from 2013 (pre-Medicaid expansion) and 2014 (post-Medicaid expansion) for 13 expansion and 4 nonexpansion states using State Inpatient Databases. Medicaid expansion was associated with decreases in proportions of hospitalizations for chronic conditions (difference between 2014 and 2013 -0.17 percentage points in expansion and 0.37 in nonexpansion states, P = .04), specifically diabetes short-term complications (difference between 2014 and 2013 -0.05 percentage points in expansion and 0.21 in nonexpansion states, P = .04). Increased access to care through Medicaid expansion may improve disease management in nonelderly adults with diabetes.