Validation of the Lean Healthcare Implementation Self-Assessment Instrument (LHISI) in the finnish healthcare context.

BACKGROUND: Lean management is growing in popularity in the healthcare sector worldwide, yet healthcare organizations are struggling with assessing the maturity of their Lean implementation and monitoring its change over time. Most existing methods for such assessments are time consuming, require site visits by external consultants, and lack frontline involvement. The original Lean Healthcare Implementation Self-Assessment Instrument (LHISI) was developed by the Center for Lean Engagement and Research (CLEAR), University of California, Berkeley as a Lean principles-based survey instrument that avoids the above problems. We validated the original LHISI in the context of Finnish healthcare. METHODS: The original HISI survey was sent over a secure organizational email system to the over 26,000 employees of the Hospital District of Helsinki and Uusimaa in March 2020. The data were randomly split with one part used to carry out an exploratory factor analysis (EFA), and the other for testing the resulting model using confirmatory factor analysis (CFA). RESULTS: A total of 6073 employees responded to the LHISI survey, for an overall response rate of 23%. The results indicated that the 43 items used in the original LHISI can be reduced to 25 items, and these items measure a five-dimensional model of the progress of Lean implementation: leadership, commitment, standard work, communication, and daily management system. In comparison with a single-factor model, the fit measures for the 5-factor model were better: smaller X2, larger comparative fit index (CFI), smaller root mean square error of approximation (RMSEA), and smaller standardized root mean square residual (SRMR). CONCLUSIONS: The 25 item LHISI is valid and feasible to use in the context of Finnish healthcare. The LHISI allows the organization to self-monitor the progress of its Lean implementation and provides the leadership with actionable knowledge to guide the path towards Lean maturity across the organization. Our findings encourage further studies on the adoption and validation of the LHISI in healthcare organizations worldwide.

Benchmarking outcomes on multiple contextual levels in lean healthcare: a systematic review, development of a conceptual framework, and a research agenda.

BACKGROUND: Reliable benchmarking in Lean healthcare requires widely relevant and applicable domains for outcome metrics and careful attention to contextual levels. These levels have been poorly defined and no framework to facilitate performance benchmarking exists. METHODS: We systematically searched the Pubmed, Scopus, and Web of Science databases to identify original articles reporting benchmarking on different contextual levels in Lean healthcare and critically appraised the articles. Scarcity and heterogeneity of articles prevented quantitative meta-analyses. We developed a new, widely applicable conceptual framework for benchmarking drawing on the principles of ten commonly used healthcare quality frameworks and four value statements, and suggest an agenda for future research on benchmarking in Lean healthcare. RESULTS: We identified 22 articles on benchmarking in Lean healthcare on 4 contextual levels: intra-organizational (6 articles), regional (4), national (10), and international (2). We further categorized the articles by the domains in the proposed conceptual framework: patients (6), employed and affiliated staff (2), costs (2), and service provision (16). After critical appraisal, only one fifth of the articles were categorized as high quality. CONCLUSIONS: When making evidence-informed decisions based on current scarce literature on benchmarking in healthcare, leaders and managers should carefully consider the influence of context. The proposed conceptual framework may facilitate performance benchmarking and spreading best practices in Lean healthcare. Future research on benchmarking in Lean healthcare should include international benchmarking, defining essential factors influencing Lean initiatives on different levels of context; patient-centered benchmarking; and system-level benchmarking with a balanced set of outcomes and quality measures.

The cross-national applicability of lean implementation measures and hospital performance measures: a case study of Finland and the USA.

BACKGROUND: Health-care organizations around the world are striving to achieve transformational performance improvement, often through adopting process improvement methodologies such as lean management. Indeed, lean management has been implemented in hospitals in many countries. But despite a shared methodology and the potential benefit of benchmarking lean implementation and its effects on hospital performance, cross-national lean benchmarking is rare. Health-care organizations in different countries operate in very different contexts, including different health-care system models, and these differences may be perceived as limiting the ability of improvers to benchmark lean implementation and related organizational performance. However, no empirical research is available on the international relevance and applicability of lean implementation and hospital performance measures. To begin understanding the opportunities and limitations related to cross-national benchmarking of lean in hospitals, we conducted a cross-national case study of the relevance and applicability of measures of lean implementation in hospitals and hospital performance. METHODS: We report an exploratory case study of the relevance of lean implementation measures and the applicability of hospital performance measures using quantitative comparisons of data from Hospital District of Helsinki and Uusimaa (HUS) Helsinki University Hospital in Finland and a sample of 75 large academic hospitals in the USA. RESULTS: The relevance of lean-related measures was high across the two countries: almost 90% of the items developed for a US survey were relevant and available from HUS. A majority of the US-based measures for financial performance (66.7%), service provision/utilization (100.0%) and service provision/care processes (60.0%) were available from HUS. Differences in patient satisfaction measures prevented comparisons between HUS and the USA. Of 18 clinical outcome measures, only four (22%) were not comparable. Clinical outcome measures were less affected by the differences in health-care system models than measures related to service provision and financial performance. CONCLUSIONS: Lean implementation measures are highly relevant in health-care organizations operating in the USA and Finland, as is the applicability of a variety of performance improvement measures. Cross-national benchmarking in lean healthcare is feasible, but a careful assessment of contextual factors, including the health-care system model, and their impact on the applicability and relevance of chosen benchmarking measures is necessary. The differences between the US and Finnish health-care system models is most clearly reflected in financial performance measures and care process measures.

Assessing the relationship of the human resource, finance, and information technology functions on reported performance in hospitals using the Lean management system.

BACKGROUND: Given pressures to control costs and improve quality of care, one of the most prevalent transformational performance improvement approaches in health care is Lean management. However, the roles of support functions such as human resource (HR), finance, and information technology (IT) in Lean management and the relationships of these support functions with performance are unknown. PURPOSE: The aim of this study was to examine the relationships between the HR, finance, and IT functions, overall Lean implementation, and self-reported performance improvement in hospitals that have implemented Lean. METHODOLOGY/APPROACH: Data from a national survey of Lean in U.S. hospitals (N = 1,222; 847 reported using Lean) were analyzed using multivariable regression and bootstrapped mediation analysis. The extent to which HR, finance, and IT functions support Lean management was measured using indices including six, three, and six items respectively. Lean implementation was measured by the number of units doing Lean (up to 29) and by a four-level self-reported maturity scale. Performance improvement was measured using an index of self-reported achievements (ranging from 0 to 16). RESULTS: There were significant positive associations between Lean HR, finance, and IT functions and self-reported performance impact (controlling for organizational and market variables). Tests of mediation indicated that the associations of HR, finance, and IT functions with self-reported performance were significantly mediated by the number of Lean units (mediated proportion ranging from 40% to 73%), and HR function was also mediated by self-reported maturity (61% mediated). There were no moderating effects. CONCLUSION: HR, finance, and IT functions are positively associated with self-reported Lean impact on performance and primarily explained by the overall degree of Lean implementation. PRACTICE IMPLICATIONS: Efforts to align HR, finance, and IT functions with overall Lean implementation can help to ensure that frontline caregivers and managers have the data and skills required to meet transformational improvement goals.

Adoption of Lean management and hospital performance: Results from a national survey.

BACKGROUND: Despite being adopted by a large number of hospitals, the relationship between Lean management and hospital performance is mixed and not well understood. PURPOSE: We examined the relationships between Lean and hospital financial performance, patient outcomes, and patient satisfaction in a large national sample of hospitals, controlling for relevant organizational and market factors. METHODOLOGY/APPROACH: A mixed effects linear regression analysis was performed to assess the relationships between adoption of Lean and 10 measures of hospital performance using data from 1,152 hospitals that responded to the 2017 National Survey of Lean/Transformational Performance Improvement in Hospitals. Hospital performance, organizational, and market data over the period 2011-2015 come from the 2015 American Hospital Association Annual Hospital Survey and the respective annual Centers for Medicare & Medicaid Services (CMS) Medicare Cost Report, CMS Hospital Compare, CMS MEDPAR, and the CMS Hospital Service Area File. RESULTS: Lean adoption was significantly associated at alpha < .05, with lower Medicare spending per beneficiary (b = -.005, p = .027). None of the other nine associations were statistically significant, although eight of them were in the predicted direction. CONCLUSION: Lean adoption is not associated with most measures of hospital performance. It is likely Lean implementation varies greatly across hospitals. Future research should examine the relationships among the various dimensions of Lean implementation and performance. PRACTICE IMPLICATIONS: If Lean management is to contribute to hospital performance improvement, leaders must be highly cognizant of what "adoption of Lean" actually means in their hospital. Although limited, single-unit Lean initiatives in an emergency room or other patient care unit may improve performance on some unit-specific measures, improvement on hospital-wide measures of performance requires a broad, sustained commitment to the implementation of Lean practices and tools.

Lean Management and U.S. Public Hospital Performance: Results From a National Survey.

EXECUTIVE SUMMARY: Many public hospitals have adopted Lean management methodology, but little is known about the extent of Lean adoption or the relationship between Lean adoption and hospital performance. Using data from the 2017 National Survey of Lean/Transformational Performance Improvement in Hospitals, linked with data from the American Hospital Association 2015 Annual Hospital Survey and 2015 Centers for Medicare & Medicaid Services data on hospital performance, we compare public hospitals with nonprofit and for-profit hospitals on the rate of Lean adoption and the extent of Lean implementation. We also assess the associations between Lean adoption by the end of 2014 and measures of public hospital financial performance, patient outcomes, and patient satisfaction measured in 2015.Among the 288 public hospitals that responded to the survey, 54.2% reported that they had adopted Lean. The average length of time of Lean implementation was 4.58 years. The mean number of units in which Lean was implemented was 11.9 out of 29 possible hospital units, with the emergency department (ED) being the unit in which Lean was most frequently implemented. The most common Lean practices used were daily huddles, plan-do-study-act cycles, visual management, and use of standard work. Lean adoption by 2014 was significantly associated in the direction predicted with earnings before interest, taxes, depreciation, and amortization margin (b = .042, p < .020) and percentage of patients leaving the ED without being seen (b = -0.610, p < .068). No significant associations were found between Lean adoption and patient outcomes or patient satisfaction.

Use of Lean and Related Transformational Performance Improvement Systems in Hospitals in the United States: Results From a National Survey.

BACKGROUND: The health care system in the United States is costly with high variance in quality. There is growing interest in transformational performance improvement initiatives, such as the Lean management system, to eliminate waste and inefficiency and improve quality of care for patients. METHODS: A national survey of all 4,500 short-term acute general medical/surgical and pediatric hospitals in the United States was fielded between May and September 2017 by the Survey Data Center of the American Hospital Association. RESULTS: Responses were received from 1,222 hospitals (27.3% response rate). Sixty-nine percent (69.3%) reported use Lean or related Lean plus Six Sigma or Robust Process Improvement approaches. Not-for-profit hospitals, hospitals located in metro/urban areas, those belonging to a system/network, and those with 100-399 beds were most likely to be engaged in these activities and for an average of 5.2 years. However, only 12.6% (n = 102) of hospitals reported being at a mature hospitalwide stage of implementation. The degree of maturity, leadership commitment, daily management system use, and training were each positively associated with reported positive performance outcomes. CONCLUSION: A majority of hospitals have adopted Lean-based transformational performance improvement approaches but with wide variance in the degree of implementation. It takes time for Lean to gain traction. The length of time doing Lean is positively associated with implementation progress and reported positive performance impacts. The extent to which Lean has an organizationwide performance impact awaits further research that links the variables in this study with objective cost and quality measures.

Prevalence of mental health disorders among justice-involved veterans.

Justice-involved veterans are a special population with unique mental health needs compared with other veterans or justice-involved adults. Prevalence estimates of mental health concerns of justice-involved veterans across 18 samples of these veterans (1987-2013), including both incarcerated and community samples, were identified through a systematic literature search of published studies supplemented by Department of Veterans Affairs Veterans Justice Programs data. Despite heterogeneity across samples and measures used, the review highlights several prominent mental health concerns among veterans. Many justice-involved veterans have likely experienced at least one traumatic event, and many have post-traumatic stress disorder (prevalence from 4% to 39% across samples). At least half of justice-involved veterans have an alcohol and/or drug use disorder (estimates as high as 71% and 65%, respectively), and other psychiatric disorders, such as depression (14%-51%) and psychotic disorders (4%-14%), are common. Justice-involved veterans with comorbid substance use and psychiatric disorders are at increased risk of negative outcomes, including homelessness and violent behavior. Overall, comparisons of justice-involved veterans with other justice-involved adults found a slightly higher rate of mental health concerns among justice-involved veterans, with some indication that intravenous drug use is more prevalent. Compared with other veterans, justice-involved veterans have consistently higher rates of mental health concerns, particularly substance use disorders.

Sex differences in mental health and substance use disorders and treatment entry among justice-involved Veterans in the Veterans Health Administration.

BACKGROUND: Over half of veterans in the criminal justice system have mental health or substance use disorders. However, there is a critical lack of information about female veterans in the criminal justice system and how diagnosis prevalence and treatment entry differ by sex. OBJECTIVES: To document prevalence of mental health and substance use disorder diagnoses and treatment entry rates among female veterans compared with male veterans in the justice system. RESEARCH DESIGN: Retrospective cohort study using national Veterans Health Administration clinical/administrative data from veterans seen by Veterans Justice Outreach Specialists in fiscal years 2010-2012. SUBJECTS: A total of 1535 females and 30,478 male veterans were included. MEASURES: Demographic characteristics (eg, sex, age, residence, homeless status), mental health disorders (eg, depression, post-traumatic stress disorder), substance use disorders (eg, alcohol and opioid use disorders), and treatment entry (eg, outpatient, residential, pharmacotherapy). RESULTS: Among female veterans, prevalence of mental health and substance use disorders was 88% and 58%, respectively, compared with 76% and 72% among male veterans. Women had higher odds of being diagnosed with a mental health disorder [adjusted odds ratio (AOR)=1.98; 95% confidence interval (CI), 1.68-2.34] and lower odds of being diagnosed with a substance use disorder (AOR=0.50; 95% CI, 0.45-0.56) compared with men. Women had lower odds of entering mental health residential treatment (AOR=0.69; 95% CI, 0.57-0.83). CONCLUSIONS: Female veterans involved in the justice system have a high burden of mental health disorders (88%) and more than half have substance use disorders (58%). Entry to mental health residential treatment for women is an important quality improvement target.

Estimating the efficacy of Alcoholics Anonymous without self-selection bias: an instrumental variables re-analysis of randomized clinical trials.

BACKGROUND: Observational studies of Alcoholics Anonymous' (AA) effectiveness are vulnerable to self-selection bias because individuals choose whether or not to attend AA. The present study, therefore, employed an innovative statistical technique to derive a selection bias-free estimate of AA's impact. METHODS: Six data sets from 5 National Institutes of Health-funded randomized trials (1 with 2 independent parallel arms) of AA facilitation interventions were analyzed using instrumental variables models. Alcohol-dependent individuals in one of the data sets (n = 774) were analyzed separately from the rest of sample (n = 1,582 individuals pooled from 5 data sets) because of heterogeneity in sample parameters. Randomization itself was used as the instrumental variable. RESULTS: Randomization was a good instrument in both samples, effectively predicting increased AA attendance that could not be attributed to self-selection. In 5 of the 6 data sets, which were pooled for analysis, increased AA attendance that was attributable to randomization (i.e., free of self-selection bias) was effective at increasing days of abstinence at 3-month (B = 0.38, p = 0.001) and 15-month (B = 0.42, p = 0.04) follow-up. However, in the remaining data set, in which preexisting AA attendance was much higher, further increases in AA involvement caused by the randomly assigned facilitation intervention did not affect drinking outcome. CONCLUSIONS: For most individuals seeking help for alcohol problems, increasing AA attendance leads to short- and long-term decreases in alcohol consumption that cannot be attributed to self-selection. However, for populations with high preexisting AA involvement, further increases in AA attendance may have little impact.

A meta-analysis of topiramate's effects for individuals with alcohol use disorders.

BACKGROUND: Influenced by several trials and reviews highlighting positive outcomes, topiramate is increasingly prescribed as a treatment for alcohol use disorders (AUDs). The only previously published meta-analysis of topiramate for AUDs was limited by a sample of only 3 randomized, placebo-controlled trials (RCTs). METHODS: A systematic search identified 7 RCTs (including a total of 1,125 participants) that compared topiramate to placebo for the treatment for AUDs. This meta-analysis estimated the overall effects of topiramate on abstinence, heavy drinking, craving, and γ-glutamyltranspeptidase (GGT) outcomes and included several sensitivity analyses to account for the small sample of studies. RESULTS: Overall, the small to moderate effects favored topiramate, although the effect on craving was not quite significantly different from 0. The largest effect was found on abstinence (g = 0.468, p < 0.01), followed by heavy drinking (g = 0.406, p < 0.01), GGT (g = 0.324, p = 0.02), and craving (g = 0.312, p = 0.07) outcomes. Sensitivity analyses did not change the magnitude or direction of the results, and tests did not indicate significant publication bias. The small sample size did not allow for examination of specific moderators of the effects of topiramate. CONCLUSIONS: Topiramate can be a useful tool in the treatment of AUDs. Its efficacy, based on the current sample of studies, seems to be of somewhat greater magnitude than that of the most commonly prescribed medications for AUDs (naltrexone and acamprosate). Further research will help to identify the contexts in which topiramate is most beneficial (e.g., dose, concurrent psychotherapy, patient characteristics).

Placebo group improvement in trials of pharmacotherapies for alcohol use disorders: a multivariate meta-analysis examining change over time.

OBJECTIVE: Placebo group improvement in pharmacotherapy trials has been increasing over time across several pharmacological treatment areas. However, it is unknown to what degree increasing improvement has occurred in pharmacotherapy trials for alcohol use disorders or what factors may account for placebo group improvement. This meta-analysis of 47 alcohol pharmacotherapy trials evaluated (1) the magnitude of placebo group improvement, (2) the extent to which placebo group improvement has been increasing over time, and (3) several potential moderators that might account for variation in placebo group improvement. METHOD: Random-effects univariate and multivariate analyses were conducted that examined the magnitude of placebo group improvement in the 47 studies and several potential moderators of improvement: (a) publication year, (b) country in which the study was conducted, (c) outcome data source/type, (d) number of placebo administrations, (e) overall severity of study participants, and (f) additional psychosocial treatment. RESULTS: Substantial placebo group improvement was found overall and improvement was larger in more recent studies. Greater improvement was found on moderately subjective outcomes, with more frequent administrations of the placebo, and in studies with greater participant severity of illness. However, even after controlling for these moderators, placebo group improvement remained significant, as did placebo group improvement over time. CONCLUSIONS: Similar to previous pharmacotherapy placebo research, substantial pretest to posttest placebo group improvement has occurred in alcohol pharmacotherapy trials, an effect that has been increasing over time. However, several plausible moderator variables were not able to explain why placebo group improvement has been increasing over time.

Expert-Identified Practices for Achieving Measurable Performance Improvements With Lean Implementation.

BACKGROUND AND OBJECTIVES: Despite the rapid spread of Lean management in health care, few organizations have achieved measurable overall performance improvements with Lean. What differentiates these organizations from those that struggle with realizing the potential benefits of Lean management is unclear. In this qualitative study we explore measuring the impact of Lean and the recommended practices for achieving measurable performance improvements with Lean in health care organizations. METHODS: Informed by preliminary quantitative results from analyses of high- and low-performing Lean hospitals, we conducted 17 semi-structured interviews with Lean health care experts on the Lean principles and practices associated with better performance. We conducted qualitative content analyses of the interview transcripts based on grounded theory and linking to core principles and practices of the Lean management system. RESULTS: The qualitative data revealed 3 categories of metrics for measuring the impact of Lean: currently used institutional measures, measures tailored to Lean initiatives, and population-level measures. Leadership engagement/commitment and clear organizational focus/prioritization/alignment had the highest weighted averages of success factors. The lack of these 2 factors had the highest weighted averages of biggest barriers for achieving measurable performance improvements with Lean implementation. CONCLUSIONS: Leadership engagement and organizational focus can facilitate achieving the organization's performance improvement goals, whereas their absence can considerably hinder performance improvement efforts. Many different approaches have been used to quantify the impact of Lean, but currently used institutional performance measures are preferred by the majority of Lean experts.

Examining the Relationship Between the Lean Management System and Quality Improvement Care Management Processes.

BACKGROUND AND OBJECTIVES: The United States has an underperforming health care system on both cost and quality criteria in comparison with other developed countries. One approach to improving system performance on both cost and quality is to use the Lean Management System based on the Shingo principles originally developed by Toyota in Japan. Our objective was to examine the association between hospital use of the Lean Management System and evidence-based or recommended quality improvement care management processes. METHODS: A cross-sectional analysis of data from 223 hospitals that responded to both the 2017 National Survey of Healthcare Organizations and Systems and the 2017 National Survey of Lean/Transformational Performance Improvement in Hospitals was conducted. RESULTS: Controlling for hospital organizational and market characteristics, the number of years using Lean was positively associated with use of electronic health record-based decision support, use of quality-focused information management, use of evidence-based guidelines, and support for care transitions at the P < .05 level. The degree of education and training in Lean methods and processes was also positively associated ( P < .05) with greater support for care transitions. The number of years using Lean was marginally associated with screening for clinical conditions at the P < .10 level. There was an unexpected negative association between education and training scores and screening for clinical conditions. CONCLUSIONS: Greater experience in using the Lean Management System is positively associated with several evidence-based and/or recommended quality improvement care management processes.

Lean Management and Hospital Performance: Adoption vs. Implementation.

BACKGROUND: The Lean management system is being adopted and implemented by an increasing number of US hospitals. Yet few studies have considered the impact of Lean on hospitalwide performance. METHODS: A multivariate analysis was performed of the 2017 National Survey of Lean/Transformational Performance Improvement in Hospitals and 2018 publicly available data from the Agency for Healthcare Research and Quality and the Center for Medicare & Medicaid Services on 10 quality/appropriateness of care, cost, and patient experience measures. RESULTS: Hospital adoption of Lean was associated with higher Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) patient experience scores (b = 3.35, p < 0.0001) on a scale of 100-300 but none of the other 9 performance measures. The degree of Lean implementation measured by the number of units throughout the hospital using Lean was associated with lower adjusted inpatient expense per admission (b = -38.67; p < 0.001), lower 30-day unplanned readmission rate (b = -0.01, p < 0.007), a score above the national average on appropriate use of imaging-a measure of low-value care (odds ratio = 1.04, p < 0.042), and higher HCAHPS patient experience scores (b = 0.12, p < 0.012). The degree of Lean implementation was not associated with any of the other 6 performance measures. CONCLUSION: Lean is an organizationwide sociotechnical performance improvement system. As such, the actual degree of implementation throughout the organization as opposed to mere adoption is, based on the present findings, more likely to be associated with positive hospital performance on at least some measures.

Lean Management and Breakthrough Performance Improvement in Health Care.

BACKGROUND AND OBJECTIVES: Lean management in health care organizations attempts to empower staff to generate continuous improvement through incremental but regular improvements in work processes. However, because of the increasing pressure on health care organizations to substantially improve quality of care and patient outcomes while containing costs in the relatively short term, many health care leaders are looking for ways to achieve large breakthrough improvements in their organization's performance. The objective of this research is to understand whether and how Lean management can be used to achieve breakthrough improvements in performance. METHODS: This study used grounded theory and content analysis of in-depth, semistructured interviews with 10 nationally recognized experts in the use of Lean management in health care organizations. The 10 participants constitute a purposive sample of experts with in-depth understanding of the strengths and limitations of Lean management in health care organizations. RESULTS: Two out of 10 participants defined breakthrough improvement as a major change in a performance metric; 2 participants defined it as a fundamental redesign in a process or service; the remaining 6 participants defined breakthrough improvement as having both these characteristics. The extent to which participants believed Lean was an effective means for achieving breakthrough improvement in performance was related to how they defined breakthrough improvement. The 2 participants who defined breakthrough improvement as a significant change in a performance metric believed Lean methods alone were sufficient. The 2 participants who defined breakthrough improvement to be a fundamental redesign tended not to view Lean alone as an effective approach. Rather, they, and the 6 participants who defined breakthrough improvement as having both change-in-metric and process redesign characteristics, viewed human-centered design thinking as the primary or important complementary approach to achieving breakthrough improvement. Participants identified resources, culture change, and leadership commitment beyond what would be required to achieve incremental improvement as the main facilitators and barriers to achieving breakthrough improvements. CONCLUSION: This research reveals some differences in experts' definitions of breakthrough improvement, and illuminates the value of human-centered design thinking, alone or as a complement to Lean management, in achieving breakthrough improvement in health care organizations. Most of our expert participants agreed that supplementing Lean management methods with the contributions of innovation design and investing significant resources, strengthening the organizational culture to support the necessary changes, and providing stronger leadership commitment to the effort are important facilitators for achieving breakthroughs in organizational performance.

Healthcare facility-based strategies to improve tuberculosis testing and linkage to care in non-U.S.-born population in the United States: A systematic review.

CONTEXT: An estimated 21% of non-U.S.-born persons in the United States have a reactive tuberculin skin test (TST) and are at risk of progressing to TB disease. The effectiveness of strategies by healthcare facilities to improve targeted TB infection testing and linkage to care among this population is unclear. EVIDENCE ACQUISITION: Following Cochrane guidelines, we searched several sources to identify studies that assessed strategies directed at healthcare providers and/or non-U.S.-born patients in U.S. healthcare facilities. EVIDENCE SYNTHESIS: Seven studies were eligible. In a randomized controlled trial (RCT), patients with reactive TST who received reminders for follow-up appointments were more likely to attend appointments (risk ratio, RR = 1.05, 95% confidence interval 1.00-1.10), but rates of return in a quasi-RCT study using patient reminders did not significantly differ between study arms (P = 0.520). Patient-provider language concordance in a retrospective cohort study did not increase provider referrals for testing (P = 0.121) or patient testing uptake (P = 0.159). Of three studies evaluating pre and post multifaceted interventions, two increased TB infection testing (from 0% to 77%, p < .001 and RR 2.28, 1.08-4.80) and one increased provider referrals for TST (RR 24.6, 3.5-174). In another pre-post study, electronic reminders to providers increased reading of TSTs (RR 2.84, 1.53-5.25), but only to 25%. All seven studies were at high risk of bias. CONCLUSIONS: Multifaceted strategies targeting providers may improve targeted TB infection testing in non-U.S.-born populations visiting U.S. healthcare facilities; uncertainties exist due to low-quality evidence. Additional high-quality studies on this topic are needed.

Effectiveness of community-based condom distribution interventions to prevent HIV in the United States: A systematic review and meta-analysis.

BACKGROUND: Despite significant public health implications, the extent to which community-based condom distribution interventions (CDI) prevent HIV infection in the United States is not well understood. METHODS: We systematically reviewed research evidence applying Cochrane Collaboration methods. We used a comprehensive search strategy to search multiple bibliographic databases for relevant randomized controlled trials (RCTs) and non-RCTs published from 1986-2017. We focused on CDI that made condoms widely available or accessible in community settings. Eligible outcomes were HIV infection (primary), sexually transmitted infections, condom use, and multiple sexual partnership. Two reviewers independently screened citations to assess their eligibility, extracted study data, and assessed risk of bias. We calculated risk ratios (RR) with 95% confidence intervals (CI) and pooled them using random-effects models. We assessed evidence quality using GRADE. RESULTS: We reviewed 5,110 unique records. Nine studies (including one RCT) met eligibility criteria. Studies were conducted in 10 US states between 1989 and 2011. All studies were at high risk of bias. Interventions were categorized into three groups: "Ongoing" (unlimited access to condoms), "Ongoing-plus" (unlimited access to condoms, with co-interventions), and "Coupon-based" (coupons redeemed for condoms). No studies reported incident HIV. Ongoing CDI (four non-RCTs) modestly reduced condomless sex (RR 0.88, 95% CI 0.78 to 0.99). Ongoing-plus CDI (two non-RCTs) significantly reduced multiple sexual partnership (RR 0.37, 95% CI 0.16 to 0.87). Of two coupon-based studies, one (non-RCT) showed reduction in condomless sex in female participants (Odds Ratio 0.67, 95% CI 0.47 to 0.96), while the other one (RCT) showed no effect on STI incidence (RR 0.91, 95% CI 0.63 to 1.31). Evidence quality was "very low" for all outcomes. CONCLUSIONS: CDI may reduce some risky sexual behaviors, but the evidence for any reduction is limited and of low-quality. Lack of biological outcomes precludes assessing the link between CDI and HIV incidence.

U.S. Department of Veterans Affairs Veterans Justice Outreach Program: Connecting Justice-Involved Veterans with Mental Health and Substance Use Disorder Treatment.

The Veterans Justice Outreach (VJO) program of the U.S. Veterans Health Administration has a primary mission of linking military veterans in jails, courts, or in contact with law enforcement to mental health and substance use disorder treatment. National data of veterans with VJO contact were used to describe demographic characteristics, and mental health and substance use disorder diagnoses and treatment use and test correlates of treatment entry and engagement using multi-level logistic regression models. Of the 37,542 VJO veterans, treatment entry was associated with being homeless and having a mental health disorder or both a mental health and a substance use disorder versus a substance use disorder only. Being American Indian/Alaskan Native was associated with lower odds of treatment entry. Engagement was associated with female gender, older age, Asian race, urban residence, and homeless status. Increased utilization of substance use disorder treatment, especially pharmacotherapy, is an important quality improvement target.

The exclusion of people with psychiatric disorders from medical research.

People with psychiatric disorders are excluded from medical research to an unknown degree with unknown effects. We examined the prevalence of reported psychiatric exclusion criteria using a sample of 400 highly-cited randomized trials (2002-2010) across 20 common chronic disorders (6 psychiatric and 14 other medical disorders). Two coders rated the presence of psychiatric exclusion criteria for each trial. Half of all trials (and 84% of psychiatric disorder treatment trials) reported possible or definite psychiatric exclusion criteria, with significant variation across disorders (p < .001). Non-psychiatric conditions with high rates of reported psychiatric exclusion criteria included low back pain (75%), osteoarthritis (57%), COPD (55%), and diabetes (55%). The most commonly reported type of psychiatric exclusion criteria were those related to substance use disorders (reported in 48% of trials reporting at least one psychiatric exclusion criteria). General psychiatric exclusions (e.g., "any serious psychiatric disorder") were also prevalent (38% of trials). Psychiatric disorder trials were more likely than other medical disorder trials to report each specific type of psychiatric exclusion (p's < .001). Because published clinical trial reports do not always fully describe exclusion criteria, this study's estimates of the prevalence of psychiatric exclusion criteria are conservative. Clinical trials greatly influence state-of-the-art medical care, yet individuals with psychiatric disorders are often actively excluded from these trials. This pattern of exclusion represents an under-recognized and worrisome cause of health inequity. Further attention should be paid to how individuals with psychiatric disorders can be safely included in medical research to address this important clinical and social justice issue.