Matching Mobile Crisis Models to Communities: An Example from Northwestern Ontario.

Police are often the first to encounter individuals when they are experiencing a mental health crisis. Other professionals with different skill sets, however, may be needed to optimize crisis response. Increasingly, police and mental health agencies are creating co-responder teams (CRTs) in which police and mental health professionals co-respond to crisis calls. While past evaluations of CRTs have shown promising results (e.g. hospital diversions; cost-effectiveness), most studies occurred in larger urban contexts. How CRTs function in smaller jurisdictions, with fewer complementary resources and other unique contextual features, is unknown. This paper describes the evaluation of a CRT operating in a geographically isolated and northern mid-sized city in Ontario, Canada. Data from program documents, interviews with frontline and leadership staff, and ride-along site visits were analyzed according to an extended Donabedian framework. Through thematic analysis, 12 themes and 11 subthemes emerged. Overall, data showed that the program was generally operating and supporting the community as intended through crisis de-escalation and improved quality of care, but it illuminated potential areas for improvement, including complementary community-based services. Data suggested specific structures and processes of the embedded CRT model for optimal function in a northern context, and it demonstrated the transferability of the CRT model beyond large urban centres. This research has implications for how communities can make informed choices about what crisis models are best for them based on their resources and context, thus potentially improving crisis response and alleviating strain on emergency departments and systems.

Cannabis advertising impacts on youth cannabis use intentions following recreational legalization in Canada: An Ecological Momentary Assessment (EMA) study.

OBJECTIVE: In 2018, Canada's Cannabis Act legalized adult recreational cannabis use and limited cannabis product advertising to adults. Cannabis product advertising to youth remains illegal. The extent to which adult-targeted, or illicit youth-targeted cannabis advertisements is reaching and impacting Canadian youth is unknown. We used Ecological Momentary Assessment (EMA) to describe how often and how much exposures to cannabis advertising influence Canadian youths' real-world, real-time intentions to use cannabis. METHODS: 120 Ontario, Canada youths ages 14-18, took photos of cannabis advertising that they encountered in their natural environments over a period of nine consecutive days. Following each exposure and twice daily device-issued random prompts, they also rated their intentions to use cannabis. RESULTS: Many participating youth (n = 85; 70.83 %) reported at least one cannabis advertising exposure during the study (range 1-30, M = 4.02). Exposures occurred through a range of advertising channels (e.g., internet ads, billboards). Multilevel modeling showed that youth advertising exposure increased cannabis use intentions in vivo (ß = 0.06,SE = 0.03;t = 1.98;p =.04;n = 1,348). CONCLUSION: Data from this study shows that cannabis advertisements are regularly reaching Canadian youth and increasing their intentions to use cannabis. This suggests that current Canadian prohibitions on cannabis advertising to youth are ineffective and/or ineffectively enforced, and that the Canadian government needs additional or enhanced prohibitions on cannabis promotion to protect youth from harms associated with increased advertisement exposure, such as increased cannabis use.

The impact of multimorbidity on severe COVID-19 outcomes in community and congregate settings.

Purpose: This study examined the impact of multimorbidity on severe COVID-19 outcomes in community and long-term care (LTC) settings, alone and in interaction with age and sex. Methods: We conducted a retrospective cohort study of all Ontarians who tested positive for COVID-19 between January-2020 and May-2021 with follow-up until June 2021. We used cox regression to evaluate the adjusted impact of multimorbidity, individual characteristics, and interactions on time to hospitalization and death (any cause). Results: 24.5% of the cohort had 2 or more pre-existing conditions. Multimorbidity was associated with 28% to 170% shorter time to hospitalization and death, respectively. However, predictors of hospitalization and death differed for people living in community and LTC. In community, increasing multimorbidity and age predicted shortened time to hospitalization and death. In LTC, we found none of the predictors examined were associated with time to hospitalization, except for increasing age that predicted reduced time to death up to 40.6 times. Sex was a predictor across all settings and outcomes: among male the risk of hospitalization or death was higher shortly after infection (e.g. HR for males at 14 days = 30.3) while among female risk was higher for both outcome in the longer term (e.g. HR for males at 150 days = 0.16). Age and sex modified the impact of multimorbidity in the community. Conclusion: Community-focused public health measures should be targeted and consider sociodemographic and clinical characteristics such as multimorbidity. In LTC settings, further research is needed to identify factors that may contribute to improved outcomes.

Multimorbidity and Complexity Among Patients with Cancer in Ontario: A Retrospective Cohort Study Exploring the Clustering of 17 Chronic Conditions with Cancer.

BACKGROUND: Multimorbidity is a concern for people living with cancer, as over 90% have at least one other condition. Multimorbidity complicates care coming from multiple providers who work within separate, siloed systems. Information describing high-risk and high-cost disease combinations has potential to improve the experience, outcome, and overall cost of care by informing comprehensive care management frameworks. This study aimed to identify disease combinations among people with cancer and other conditions, and to assess the health burden associated with those combinations to help healthcare providers more effectively prioritize and coordinate care. METHODS: We used a population-based retrospective cohort design including adults with a cancer diagnosis between March-2003 and April-2013, followed-up until March 2018. We used observed disease combinations defined by level of multimorbidity and partitive (k-means) clusters, ie groupings of similar diseases based on the prevalence of each condition. We assessed disease combination-associated health burden through health service utilization, including emergency department visits, primary care visits and hospital admissions during the follow-up period. RESULTS: 549,248 adults were included in the study. Anxiety, diabetes mellitus, hypertension, and osteoarthritis co-occurred with cancer 1.1 to 5.3 times more often than expected by chance. Disease combinations varied by cancer type and age but were similar between sexes. The largest partitive cluster included cancer and anxiety, with at least 25% of individuals also having osteoarthritis. Cancer also tended to co-occur with hypertension (8.0%) or osteoarthritis (6.2%). There were differences between clusters in healthcare utilization, regardless of the number of disease combinations or clustering approach used. CONCLUSION: Researchers, clinicians, policymakers, and other stakeholders can use the clustering information presented here to improve the healthcare system for people with cancer multimorbidity by developing cluster-specific care management and clinical guidelines for common disease combinations.

Experiences, impacts and service needs of injured and ill workers in the WSIB process: evidence from Thunder Bay and District (Ontario, Canada). / Expériences, besoins en services et répercussions des processus de la Commission de la sécurité professionnelle et de l'assurance contre les accidents du travail (WSIB) chez les travailleurs blessés et malades : données probantes de la ville et du district de Thunder Bay (Ontario, Canada).

INTRODUCTION: Individuals experience negative physical, social and psychological ramifications when they are hurt or become ill at work. Ontario's Workplace Safety and Insurance Board (WSIB) is intended to mitigate these effects, yet the WSIB process can be difficult. Supports for injured workers can be fragmented and scarce, especially in underserved areas. We describe the experiences and mental health needs of injured and ill Northwestern Ontario workers in the WSIB process, in order to promote system improvements. METHODS: Community-recruited injured and ill workers (n = 40) from Thunder Bay and District completed an online survey about their mental health, social service and legal system needs while involved with WSIB. Additional Northwestern Ontario injured and ill workers (n = 16) and community service providers experienced with WSIB processes (n = 8) completed interviews addressing similar themes. RESULTS: Northwestern Ontario workers described the impacts of workplace injury and illness on their professional, family, financial and social functioning, and on their physical and mental health. Many also reported incremental negative impacts of the WSIB processes themselves, including regional issues such as "small town" privacy concerns and the cost burden of travel required by the WSIB, especially during COVID-19. Workers and service providers suggested streamlining and explicating WSIB processes, increasing WSIB continuity of care, and region-specific actions such as improving access to regional support services through arm's-length navigators. CONCLUSION: Northwestern Ontario workers experienced negative effects from workplace injuries and illness and the WSIB process itself. Stakeholders can use these findings to improve processes and outcomes for injured and ill workers, with special considerations for the North.

Structural Components of Integrated Behavioral Health Care: A Comparison of National Programs.

Initiatives that support and incentivize the integration of behavioral health and general medical care have become a focus of government strategies to achieve the triple aim of improved health, better patient experience, and reduced costs. The authors describe the components of four large-scale national initiatives aimed at integrating care for a wide range of behavioral health needs. Commonalities across these national initiatives highlight health care and social services needs that must be addressed to improve care for people with co-occurring behavioral health and general medical conditions. These findings can inform how to design, test, select, and align the most promising strategies for integrated care in a variety of settings.

Adolescent exposure to cannabis marketing following recreational cannabis legalization in Canada: A pilot study using ecological momentary assessment.

OBJECTIVE: The goal of this pilot study was to assess the feasibility of a 9-day, smartphone-based ecological momentary assessment (EMA) protocol for tracking the frequency of Canadian adolescents' exposures to cannabis marketing, their reactions to such exposures, and the context in which exposures occur in the real-world and in real-time. METHOD: Participants were n = 18 adolescents between the ages of 14 and 18 years of age. They used an EMA application to capture and describe cannabis marketing exposures through photographs and brief questionnaires assessing marketing channel and context. Participants also rated their reactions to each exposure in real-time. RESULTS: Results showed that participants were generally compliant with the protocol. Participants recorded 40 total exposures to cannabis marketing, representing an average of 2.2 (SD 2.3) exposures per participant during the 9-day study. Exposures tended to occur in the afternoon (45.0%) or evening (37.5%), and while participants were at home (70%) and alone (52.5%). Most exposures occurred through promotion by public figures (27.5%) or explicitly marked internet ads (27.5%). CONCLUSION: This is the first study to demonstrate the feasibility and utility of EMA to capture adolescent exposures to cannabis marketing as it occurs in participants' natural environments. Our research offers an early look at the predictable wave of cannabis advertising targeting youth and a promising approach for studying its impacts in a post-legalization context, as well as a strategy for assessing policies, such as advertising restrictions, intending to mitigate the harms of early cannabis use among youth.

Primary and Behavioral Health Care Integration Program: Impacts on Health Care Utilization, Cost, and Quality.

This article describes an extension of the RAND Corporation's evaluation of the Substance Abuse and Mental Health Services Administration's Primary and Behavioral Health Care Integration (PBHCI) grants program. PBHCI grants are designed to improve the overall wellness and physical health status of people with serious mental illness or co-occurring substance use disorders by supporting the integration of primary care and preventive PH services into community behavioral health centers where individuals already receive care. From 2010 to 2013, RAND conducted a program evaluation of PBHCI, describing the structure, process, and outcomes for the first three cohorts of grantee programs (awarded in 2009 and 2010). The current study extends previous work by investigating the impact of PBHCI on consumers' health care utilization, total costs of care to Medicaid, and quality of care in three states. The evidence suggests that PBHCI was successful in reducing frequent use of emergency room and inpatient services for physical health conditions, reducing costs of care, and improving follow-up after hospitalization for a mental illness. However, PBHCI evidence does not suggest that PBHCI had a consistent effect on quality of preventive care and health monitoring for chronic physical conditions. These findings can guide the design of future cohorts of PBHCI clinics to build on the strengths with respect to shifting emergency department and inpatient care to less costly and more effective settings and address the continuing challenge of integrating care between specialty behavioral health providers and general medical care providers.

Prevalence of multimorbidity in adults with cancer, and associated health service utilization in Ontario, Canada: a population-based retrospective cohort study.

BACKGROUND: The majority of people with cancer have at least one other chronic health condition. With each additional chronic disease, the complexity of their care increases, as does the potential for negative outcomes including premature death. In this paper, we describe cancer patients' clinical complexity (i.e., multimorbidity; MMB) in order to inform strategic efforts to improve care and outcomes for people with cancer of all types and commonly occurring chronic diseases. METHODS: We conducted a population-based, retrospective cohort study of adults diagnosed with cancer between 2003 and 2013 (N = 601,331) identified in Ontario, Canada healthcare administrative data. During a five to 15-year follow-up period (through March 2018), we identified up to 16 co-occurring conditions and patient outcomes for the cohort, including health service utilization and death. RESULTS: MMB was extremely common, affecting more than 91% of people with cancer. Nearly one quarter (23%) of the population had five or more co-occurring conditions. While we saw no differences in MMB between sexes, MMB prevalence and level increased with age. MMB prevalence and type of co-occurring conditions also varied by cancer type. Overall, MMB was associated with higher rates of health service utilization and mortality, regardless of other patient characteristics, and specific conditions differentially impacted these rates. CONCLUSIONS: People with cancer are likely to have at least one other chronic medical condition and the presence of MMB negatively affects health service utilization and risk of premature death. These findings can help motivate and inform health system advances to improve care quality and outcomes for people with cancer and MMB.

Ontario's response to COVID-19 shows that mental health providers must be integrated into provincial public health insurance systems.

The fear, grief, social isolation, and financial and occupational losses from COVID-19 have created a mental health crisis. Ontario's response highlights the shortcomings of its physician-only public healthcare system that limits public access to appropriate and sustainable mental healthcare. Specifically, Ontario's attempt to rapidly expand mental healthcare access in response to COVID-19 includes new Ontario Health Insurance Program (OHIP) billing codes that enable physicians to provide telephonic trauma counselling and patient self-serve online tools while psychologist and other registered mental health provider services have been largely left out of the provincial response. Why? Non-physician mental health providers operate outside of the provincial healthcare infrastructure, including the provincial payer (i.e., OHIP) that facilitated the provincial physician response. A physician-centric mental healthcare system limits public access to quality, sustainable, evidence-based mental health services because most physicians do not have the capacity, training, or desire to provide mental health services. To improve public access to needed mental health services, provinces should integrate psychologists and other registered mental health providers directly into their public health insurance systems. Integrated providers can be strategically and sustainably mobilized to respond to COVID-19 and future mental health crises.

Circadian misalignment and weekend alcohol use in late adolescent drinkers: preliminary evidence.

Alcohol use accelerates during late adolescence, predicting the development of alcohol use disorders (AUDs) and other negative outcomes. Identifying modifiable risk factors for alcohol use during this time could lead to novel prevention approaches. Burgeoning evidence suggests that sleep and circadian factors are cross-sectionally and longitudinally linked to alcohol use and problems, but more proximal relationships have been understudied. Circadian misalignment, in particular, is hypothesized to increase the risk for AUDs, but almost no published studies have included a biological measure of misalignment. In the present study, we aimed to extend existing research by assessing the relationship between adolescent circadian misalignment and alcohol use on a proximal timeframe (over two weeks) and by including three complementary measures of circadian alignment. We studied 36 healthy late (18-22 years old, 22 females) alcohol drinkers (reporting ≥1, standard drink per week over the past 30 days) over 14 days. Throughout the study, participants reported prior day's alcohol use and prior night's sleep each morning via smartphone and a secure, browser-based interface. Circadian phase was assessed via the dim light melatonin onset (DLMO) in the laboratory on two occasions (Thursday and Sunday nights) in counterbalanced order. The three measures of circadian alignment included DLMO-midsleep interval, "classic" social jet lag (weekday-weekend difference in midsleep), and "objective" social jet lag (weekday-weekend difference in DLMO). Multivariate imputation by chained equations was used to impute missing data, and Poisson regression models were used to assess associations between circadian alignment variables and weekend alcohol use. Covariates included sex, age, Thursday alcohol use, and Thursday sleep characteristics. As predicted, greater misalignment was associated with greater weekend alcohol use for two of the three alignment measures (shorter DLMO-midsleep intervals and larger weekday-weekend differences in midsleep), while larger weekday-weekend differences in DLMO were associated with less alcohol use. Notably, in contrast to expectations, the distribution of weekday-weekend differences in DLMO was nearly equally distributed between individuals advancing over the weekend and those delaying over the weekend. This unexpected finding plausibly reflects the fact that college students are not subject to the same systematically earlier weekday schedules observed in high school students and working adults. These preliminary findings support the need for larger, more definitive studies investigating the proximal relationships between circadian alignment and alcohol use among late adolescents.

Do graphic health warning labels on cigarette packages deter purchases at point-of-sale? An experiment with adult smokers.

This experiment tested whether the presence of graphic health warning labels on cigarette packages deterred adult smokers from purchasing cigarettes at retail point-of-sale (POS), and whether individual difference variables moderated this relationship. The study was conducted in the RAND StoreLab (RSL), a life-sized replica of a convenience store that was developed to evaluate how changing POS tobacco advertising influences tobacco use outcomes during simulated shopping experiences. Adult smokers (n = 294; 65% female; 59% African-American; 35% White) were assigned randomly to shop in the RSL under one of two experimental conditions: graphic health warning labels present on cigarette packages versus absent on cigarette packages. Cigarette packages in both conditions were displayed on a tobacco power wall, which was located behind the RSL cashier counter. Results revealed that the presence of graphic health warning labels did not influence participants' purchase of cigarettes as a main effect. However, nicotine dependence acted as a significant moderator of experimental condition. Graphic health warning labels reduced the chances of cigarette purchases for smokers lower in nicotine dependence but had no effect on smokers higher in dependence.

One size fits all? Disentangling the effects of tobacco taxes, laws, and control spending on adult subgroups in the United States.

Background: To determine the relative impact of each of the 3 state-level tobacco control policies (cigarette taxation, tobacco control spending, and smoke-free air [SFA] laws) on adult smoking rate overall and separately for adult subgroups in the United States. Methods: A difference-in-differences analysis was conducted with generalized propensity scores. State-level policies were merged with the individual-level Behavioral Risk Factor Surveillance System in 1995-2009. Results: State cigarette taxation was the only policy that significantly impacted smoking among the general adult population, with a 1-standard deviation increase in taxes (i.e., $0.68 in constant 2014 dollars) lowering the adult smoking rate by about a quarter of a percentage point. The taxation impact was consistent, regardless of the presence of, or interactions with, other policies. Taxation was also the only policy that significantly reduced smoking for some adult subgroups, including females, non-Hispanic whites, adults aged 51 or older, and adults with more than a high school education. However, other adult subgroups responded to the other 2 types of policies, either by mediating the taxation effect or by reducing smoking independently. Specifically, tobacco control spending reduced smoking among young adults (ages 18-25 years) and Hispanics. SFA laws affected smoking among men, young adults, non-Hispanic blacks, and Hispanics. Conclusions: State cigarette taxation is the single most important policy for reducing smoking among the general adult population. However, adult subgroups' reactions to taxes are diverse and mediated by tobacco control spending and SFA laws.

Measuring Efficiency at the Interface of Behavioral and Physical Health Care.

BACKGROUND: Measures of efficiency in healthcare delivery, particularly between different parts of the healthcare system could potentially improve health resource utilization. We use a typology adapted from the Agency for Healthcare Research and Quality to characterize current measures described in the literature by stakeholder perspective (payer, provider, patient, policy-maker), type of output (reduced utilization or improved outcomes) and input (physical, financial or both). AIMS OF THE STUDY: To systematically describe measures of healthcare efficiency at the interface of behavioral and physical healthcare and identify gaps in the literature base that could form the basis for further measure development. METHODS: We searched the Medline database for studies published in English in the last ten years with the terms 'efficiency', 'inefficiency', 'productivity', 'cost' or 'QALY' and 'mental' or 'behavioral' in the title or abstract. Studies on healthcare resource utilization, costs of care, or broader healthcare benefits to society, related to the provision of behavioral health care in physical health care settings or to people with physical health conditions or vice versa were included. RESULTS: 85 of 6,454 studies met inclusion criteria. These 85 studies described 126 measures of efficiency. 100 of these measured efficiency according to the perspective of the purchaser or provider, whilst 13 each considered efficiency from the perspective of society or the consumer. Most measures counted physical resources (such as numbers of therapy sessions) rather than the costs of these resources as inputs. Three times as many measures (95) considered service outputs as did quality outcomes (31). DISCUSSION: Measuring efficiency at the interface of behavioral and physical care is particularly difficult due to the number of relevant stakeholders involved, ambiguity over the definition of efficiency and the complexity of providing care for people with multimorbidity. Current measures at this interface concentrate on a limited range of outcomes. LIMITATIONS: We only searched one database and did not review the gray literature, nor solicit a call for relevant but unpublished work. We did not assess the methodological quality of the studies identified. IMPLICATION FOR HEALTH CARE PROVISION AND USE: Most measures of healthcare efficiency are currently viewed from the perspective of payers and providers, with very few studies addressing the benefits of healthcare to society or the individual interest of the consumer. One way this imbalance could be addressed is through much stronger involvement of consumers in measurement-development, for example, by an expansion in patient-reported outcome measures in assessing quality of care. IMPLICATIONS FOR HEALTH POLICIES: Integrating behavioral and physical care is a major area of implementation as health systems in high income countries move from volume to value based care delivery. Measuring efficiency at this interface has the potential to incentivize and also evaluate integration efforts. IMPLICATIONS FOR FURTHER RESEARCH: There has been only one previous systematic review of efficiency measurement and none at the interface of behavioral and physical care. We identify gaps in the evidence base for efficiency measurement which could inform further research and measurement development.

Impact of a mental health based primary care program on emergency department visits and inpatient stays.

OBJECTIVE: Integrating primary care services into specialty mental health clinics has been proposed as a method for improving health care utilization for medical conditions by adults with serious mental illness. This paper examines the impact of a mental health based primary care program on emergency department (ED) visits and hospitalizations. METHOD: The program was implemented in seven New York City outpatient mental health clinics in two waves. Medicaid claims were used to identify patients treated in intervention clinics and a control group of patients treated in otherwise similar clinics in New York City. Impacts of the program were estimated using propensity score adjusted difference-in-differences models on a longitudinally followed cohort. RESULTS: Hospital stays for medical conditions increased significantly in intervention clinics relative to control clinics in both waves (ORs = 1.21 (Wave 1) and 1.33 (Wave 2)). ED visits for behavioral health conditions decreased significantly relative to controls in Wave 1 (OR = 0.89), but not in Wave 2. No other significant differences in utilization trends between the intervention and control clinics were found. CONCLUSION: Introducing primary care services into mental health clinics may increase utilization of inpatient services, perhaps due to newly identified unmet medical need in this population.

Impact of a Mental Health Based Primary Care Program on Quality of Physical Health Care.

We examine the impact of mental health based primary care on physical health treatment among community mental health center patients in New York State using propensity score adjusted difference in difference models. Outcomes are quality indicators related to outpatient medical visits, diabetes HbA1c monitoring, and metabolic monitoring of antipsychotic treatment. Results suggest the program improved metabolic monitoring for patients on antipsychotics in one of two waves, but did not impact other quality indicators. Ceiling effects may have limited program impacts. More structured clinical programs to may be required to achieve improvements in quality of physical health care for this population.

The Air Force Deployment Transition Center: Assessment of Program Structure, Process, and Outcomes.

It is often accepted as common knowledge that military personnel benefit from decompression time between a war zone and the home station. To capitalize on the potential benefits of a decompression period paired with support services, the U.S. Air Force established the Deployment Transition Center (DTC) at Ramstein Air Base in Germany in July 2010. The DTC provides airmen returning from combat missions with an opportunity to decompress and share lessons learned before returning to their home stations. The authors of this study evaluate the structure, processes, and outcomes of the DTC program. They find that, although a majority of participants found the DTC program worthwhile, a comparison of DTC participants and similar airmen who did not participate the program shows no evidence that the program helps reduce posttraumatic stress disorder symptoms, depressive symptoms, binge drinking, or social conflicts with family and coworkers. In addition, one of the DTC program elements appears to be similar to posttraumatic debriefing interventions, which several studies have found to be either ineffective or harmful. For these reasons, if the main goals of the DTC program are to improve behavioral health and social conflict outcomes, the authors recommend that the DTC program be discontinued or redesigned and Air Force resources invested in alternative programs. However, if the DTC program has other goals, such as providing rest and relaxation to airmen after a difficult deployment or capturing after-action information, then the authors recommend that these goals be documented and the DTC program be more specifically tailored to them.

Prioritizing quality measure concepts at the interface of behavioral and physical healthcare.

OBJECTIVE: Integrated healthcare models can increase access to care, improve healthcare quality, and reduce cost for individuals with behavioral and general medical healthcare needs, yet there are few instruments for measuring the quality of integrated care. In this study, we identified and prioritized concepts that can represent the quality of integrated behavioral health and general medical care. DESIGN: We conducted a literature review to identify candidate measure concepts. Experts then participated in a modified Delphi process to prioritize the concepts for development into specific quality measures. SETTING: United States. PARTICIPANTS: Expert behavioral health and general medical clinicians, decision-makers (policy, regulatory and administrative professionals) and patient advocates. MAIN OUTCOME MEASURES: Panelists rated measure concepts on importance, validity and feasibility. RESULTS: The literature review identified 734 measures of behavioral or general medical care, which were then distilled into 43 measure concepts. Thirty-three measure concepts (including a segmentation strategy) reached a predetermined consensus threshold of importance, while 11 concepts did not. Two measure concepts were 'ready for further development' ('General medical screening and follow-up in behavioral health settings' and 'Mental health screening at general medical healthcare settings'). Among the 31 additional measure concepts that were rated as important, 7 were rated as valid (but not feasible), while the remaining 24 concepts were rated as neither valid nor feasible. CONCLUSIONS: This study identified quality measure concepts that capture important aspects of integrated care. Researchers can use the prioritization process described in this study to guide healthcare quality measures development work.

Enrollment of Specialty Mental Health Clinics in a State Medicaid Program to Promote General Medical Services.

OBJECTIVE: To promote integrated general medical care for individuals with serious mental illness, the New York State Office of Mental Health (OMH) established regulations allowing specialty mental health clinics to provide Medicaid-reimbursable health monitoring (HM) and health physicals (HP). This study examined clinics' enrollment in this program to understand its potential to reach individuals with serious mental illness. METHODS: Information on enrollment and characteristics of clinics (N=500) was obtained from OMH administrative databases. Clinic enrollment in the HM/HP program was examined for the program's first five years (2010-2015). Logistic regression models accounting for the clustering of multiple clinics within agencies were used to examine characteristics associated with enrollment. RESULTS: A total of 291 of 500 (58%) licensed clinics in New York State in 2015 enrolled in the HM/HP program, potentially reaching 62% of all Medicaid enrollees with serious mental illness seen in specialty mental health clinics in the state. State-operated clinics were required to participate, and had 91% enrollment. Over half of hospital-affiliated and freestanding mental health clinics elected to enroll (53% and 54%, respectively). In adjusted models, enrollment was higher among freestanding clinics compared with hospital-affiliated clinics, higher in larger than smaller clinics, and higher in county-operated than in private nonprofit clinics. CONCLUSIONS: The high level of enrollment in the HM/HP program indicates strong interest among mental health clinics in providing general medical care services. However, supplemental policies may be needed to extend the program to areas of the mental health system where barriers to general medical care services are highest.

Perceptions of e-cigarettes: a comparison of adult smokers and non-smokers in a Mechanical Turk sample.

BACKGROUND: Given plans to extend its regulatory authority to e-cigarettes, the Food and Drug Administration (FDA) urgently needs to understand how e-cigarettes are perceived by the public. OBJECTIVES: To examine how smoking status impacts adult perceptions and expectations of e-cigarettes. METHODS: We used Mechanical Turk (MTurk), a "crowdsourcing" platform, to rapidly survey a large (n = 796; female = 381; male = 415), diverse sample of adult ever (44%) and never smokers (56%), including ever (28%) and never (72%) users of e-cigarettes. RESULTS: Smokers and non-smokers learned about e-cigarettes primarily through the internet and conversations with others. Ever smokers were more likely than never smokers, and female current smokers were more likely than female former smokers, to have learned about e-cigarettes from point of sale advertising (p's < 0.05) and to believe that e-cigarettes help smokers quit (ps < 0.05). Among never users of e-cigarettes, current smokers were more likely than never smokers and former smokers to report that they would try e-cigarettes in the future (ps < 0.01). Current smokers' top reason for wanting to try e-cigarettes was to quit or reduce smoking (56%), while never and former smokers listed curiosity. In contrast, female current smokers' top reason for not trying e-cigarettes was health and safety concerns (44%) while males were deterred by expense (44%). CONCLUSIONS: Adult smokers and non-smokers have different perceptions and expectations of e-cigarettes. Public health messages regarding e-cigarettes may need to be tailored separately for persons with and without a history of using conventional cigarettes. Tailoring messages by gender within smoker groups may also improve their impact.