Pfizer-BioNTech Coronavirus Disease 2019 Vaccine Effectiveness Against Severe Acute Respiratory Syndrome Coronavirus 2 Infection Among Long-term Care Facility Staff With and Without Prior Infection in New York City, January-June 2021.

BACKGROUND: Evidence is accumulating of coronavirus disease 2019 (COVID-19) vaccine effectiveness among persons with prior severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. METHODS: We evaluated the effect against incident SARS-CoV-2 infection of (1) prior infection without vaccination, (2) vaccination (2 doses of Pfizer-BioNTech COVID-19 vaccine) without prior infection, and (3) vaccination after prior infection, all compared with unvaccinated persons without prior infection. We included long-term care facility staff in New York City aged <65 years with weekly SARS-CoV-2 testing from 21 January to 5 June 2021. Test results were obtained from state-mandated laboratory reporting. Vaccination status was obtained from the Citywide Immunization Registry. Cox proportional hazards models adjusted for confounding with inverse probability of treatment weights. RESULTS: Compared with unvaccinated persons without prior infection, incident SARS-CoV-2 infection risk was lower in all groups: 54.6% (95% confidence interval, 38.0%-66.8%) lower among unvaccinated, previously infected persons; 80.0% (67.6%-87.7%) lower among fully vaccinated persons without prior infection; and 82.4% (70.8%-89.3%) lower among persons fully vaccinated after prior infection. CONCLUSIONS: Two doses of Pfizer-BioNTech COVID-19 vaccine reduced SARS-CoV-2 infection risk by ≥80% and, for those with prior infection, increased protection from prior infection alone. These findings support recommendations that all eligible persons, regardless of prior infection, be vaccinated against COVID-19.

Reduced Odds of Severe Acute Respiratory Syndrome Coronavirus 2 Reinfection After Vaccination Among New York City Adults, July 2021-November 2021.

BACKGROUND: Belief that vaccination is not needed for individuals with prior infection contributes to coronavirus disease 2019 (COVID-19) vaccine hesitancy. Among individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) before vaccines became available, we determined whether vaccinated individuals had reduced odds of reinfection. METHODS: We conducted a case-control study among adult New York City residents who tested positive for SARS-CoV-2 infection in 2020 and had not died or tested positive again >90 days after an initial positive test as of 1 July 2021. Case patients with reinfection during July 2021-November 2021 and controls with no reinfection were matched (1:3) on age, sex, timing of initial positive test in 2020, and neighborhood poverty level. Matched odds ratios (mORs) and 95% confidence intervals (CIs) were calculated using conditional logistic regression. RESULTS: Of 349 827 eligible adults, 2583 were reinfected during July 2021-November 2021. Of 2401 with complete matching criteria data, 1102 (45.9%) were known to be symptomatic for COVID-19-like illness, and 96 (4.0%) were hospitalized. Unvaccinated individuals, compared with individuals fully vaccinated within the prior 90 days, had elevated odds of reinfection (mOR, 3.21; 95% CI, 2.70 to 3.82), of symptomatic reinfection (mOR, 2.97; 95% CI, 2.31 to 3.83), and of reinfection with hospitalization (mOR, 2.09; 95% CI, .91 to 4.79). CONCLUSIONS: Vaccination reduced odds of reinfections when the Delta variant predominated. Further studies should assess risk of severe outcomes among reinfected persons as new variants emerge, infection- and vaccine-induced immunity wanes, and booster doses are administered.

Early intervention and special education in New York City: Patterns of service use and disparities affecting children of colour.

BACKGROUND: Compliance with the requirements of the Individuals with Disabilities Education Act (IDEA) in the United States is monitored through review of cross-sectional reports from three discrete, age-defined programmes (early intervention [EI], early childhood special education [ECSE)] and school-age special education [SE]) to promote the timely, efficient and effective delivery of appropriate services to all eligible children. Analysis of longitudinal data is required to discern how children use services across programmes to provide the necessary context for IDEA oversight and to identify areas for programme or policy interventions to reduce barriers to service use and promote equity. METHODS: We applied sequence analysis to a data linkage across five public record systems among 15 626 New York City children born in 1998 who had records from birth through third grade. RESULTS: Five predominant patterns of service use were identified: (1) multiple therapies across EI/ECSE/SE (13%), (2) EI without transition to Department of Education schools or services (24%), (3) EI and intermittent ECSE/SE (16%), (4) older entry into EI and both speech and occupational therapy throughout ECSE/SE (9%) and (5) limited EI use and mostly speech therapy in ECSE/SE (38%). Each pattern had distinct demographics (e.g., pattern 2 was disproportionately White and from low poverty neighbourhoods; pattern 4 was disproportionately male and Black; pattern 5 was disproportionately Latino) and academic outcomes (e.g., pattern 1 had largest proportion in a SE school and not tested in third grade; pattern 3 had third grade tests scores that were similar to overall citywide mean scores). CONCLUSIONS: The differences in demographic profiles across the five patterns of service use illustrate the systemic inequities in the delivery of these important services. Delayed entry and limited use of EI services among children of colour underscore the need for equity goals to increase early referral and optimize service use.

Early Effects of the New York City Paid Safe and Sick Leave Law.

CONTEXT: Paid sick leave (PSL) is a public health strategy associated with benefits for workers, businesses, and consumers. In the absence of a federal law, in 2014, New York City (NYC) joined other state and municipal governments with local PSL policies. OBJECTIVES: To examine changes in PSL after the implementation of NYC's 2014 Paid Safe and Sick Leave Law and to assess which communities remain less likely to use PSL. DESIGN: This study uses data from multiple panels of the NYC Longitudinal Survey of Wellbeing (NYC-LSW)-a population-representative study of NYC adults-to track changes in PSL, using data collected before and after NYC's Paid Safe and Sick Leave Law was implemented. We use weighted cross-tabulations and multinomial logistic regression models to assess changes in payment for sick leave since the implementation of the law. SETTING AND PARTICIPANTS: The study includes 2985 NYC adults aged 18 to 64 years who reported working for pay in the year preceding the survey where PSL questions were asked (2014-2019). MAIN OUTCOME MEASURES: Use of sick leave and payment for sick leave. RESULTS: Weighted descriptive results show a 7-percentage-point increase ( P = .02) in the rate of being paid for all sick days and a 6-percentage-point decrease ( P = .02) in not being paid for any sick days. Results from multinomial logistic regression models, adjusting for potential confounders, show that after implementation of the law, workers with low levels of education, who are younger, Latino, and foreign-born remain less likely than their peers to use PSL. CONCLUSIONS: We demonstrate that the PSL mandate expanded access for employees but not evenly across groups. These results offer guidance to other jurisdictions implementing PSL policies, suggesting the need for targeted education and enforcement efforts to ensure policies reach sectors where low-wage workers are most prevalent.

Behavioral and social determinants of early childhood caries among Palestinian preschoolers in Jerusalem area: a cross-sectional study.

BACKGROUND: This study came to determine the prevalence of Early Childhood Carries (ECC) among preschoolers in a marginalized population and describe the influence of behavioral and social determinants on the development of ECC. METHODS: This is a cross-sectional study that was carried out in four random preschools in the Jerusalem Governorate of the Occupied Palestinian Territories. All children aged 3-5 years old in the selected schools were screened for ECC using the decayed, missing, and filled teeth index (dmft). Data on children's socio-economic, feeding habits, hygiene habits, access to care, parental level of stress, social support, and locus of control were collected by a validated questionnaire sent to the children's main caregivers. Descriptive statistics were generated and bivariable and multivariable analyses were used to explain the influence of different behavioral and social determinants on ECC levels. RESULTS: Four hundred and fifty-seven preschoolers completed the questionnaire and the clinical screening. Ninety-seven percent (n = 447) had experienced dental decay, with an average dmft score of 6.6 ± 4.3. After accounting for potential confounding, parents' internal locus of control was associated with lower dental caries among children (IRR = 0.97, 95% CI = 0.97, 0.98). Having routine, preventive visits versus never seeing a dentist were associated with lower dmft scores (IRR = 0.42, 95% CI = 0.33, 0.52). Night feeding habits (putting things other than water in the baby bottle at night, having children sleep while being breastfed at night) were positively associated with children's dental caries (IRR = 1.06, 95% CI = 1.04, 1.09: IRR = 1.15, 95% CI = 1.03, 1.29, respectively). Not adding sugar to the bottle was negatively associated with children's dental caries (IRR = 0.86, 95% CI = 0.74, 1.00). CONCLUSIONS: Preschoolers in this study suffered from high dental caries experience. Although infant feeding habits were key factors in explaining the elevated level of the disease, system and socio-psychological factors were also detrimental to ECC prevalence. Policies and interventions to alleviate the burden of ECC need to address socioeconomic determinants of health in addition to feeding and hygiene practices.

The Impact of Supportive Housing on Liver-Related Outcomes Among Persons With Hepatitis C Virus Infection.

BACKGROUND: Hepatitis C virus (HCV) infection disproportionately impacts people experiencing homelessness. Hepatitis C virus can lead to negative health outcomes, including mortality. We evaluated the impact of a permanent supportive housing (PSH) program (ie, "treatment") on liver-related morbidity and mortality among persons with chronic homelessness and HCV infection. METHODS: We matched records for persons eligible for a New York City PSH program (2007-2014) with Heath Department HCV and Vital Statistics registries and Medicaid claims. Among persons diagnosed with HCV before or 2 years posteligibility, we added stabilized inverse probability of treatment weights to negative binomial regression models to compare rates for liver disease-related emergency department visits and hospitalizations, and hazard ratios for mortality, by program placement 2 and 5 years posteligibility. RESULTS: We identified 1158 of 8783 placed and 1952 of 19 019 unplaced persons with laboratory-confirmed HCV infection. Permanent supportive housing placement was associated with significantly reduced liver-related emergency department visits (adjusted rate ratio [aRR] = 0.76, 95% confidence interval [CI] = .61-.95), hospitalizations (aRR = 0.62, 95% CI = .54-.71), and all-cause (adjusted hazard ratio [aHR] = 0.65, 95% CI = .46-.92) and liver-related mortality (aHR = 0.72, 95% CI = .09-.83) within 2 years. The reduction remained significant for hospitalizations after 5 years. CONCLUSIONS: Placement into PSH was associated with reduced liver-related morbidity and mortality among persons with HCV infection and chronic homelessness.

The role of housing characteristics in racial and ethnic disparities in SARS-CoV-2 antibody seropositivity among New York City adults: A population representative study.

Black and Latino populations have been disproportionately burdened by COVID-19 morbidity and mortality. Subsidized housing, crowding, and neighborhood poverty might be associated with increased COVID-19 transmission and play a role in observed racial and ethnic disparities, yet research is limited. Our study investigated whether these housing variables mediate the relationship between race and ethnicity and SARS-CoV-2 antibody seropositivity among New York City (NYC) adults. We analyzed data from a SARS-CoV-2 serosurvey (n = 1074), nested within the 2020 cross-sectional NYC Community Health Survey (June-October 2020). We defined SARS-CoV-2 seropositivity as either a positive blood test for SARS-CoV-2 antibodies or a self-reported positive test result. We used causal mediation analyses to test whether subsidized housing, crowding, and neighborhood poverty mediate a relationship between race and ethnicity and seropositivity. After controlling for potential confounding, we found elevated prevalence ratios of SARS-CoV-2 seropositivity among Black (APR = 1.74, 95% CI = 1.10-2.73) and Latino (APR = 1.58, 95% CI = 1.05-2.37) residents compared with White residents and for those living in crowded housing (APR = 1.48, 95% CI = 1.03-2.12) and high-poverty neighborhoods (APR = 1.54, 95% CI = 1.12-2.11) but not for subsidized housing. We observed statistically significant natural direct effects for all three mediators. While living in crowded housing and high-poverty neighborhoods contributed to racial and ethnic disparities in seropositivity the estimated contribution from living in subsidized housing was -9% (Black) and - 14% (Latino). Our findings revealed racial and ethnic disparities in seropositivity of SARS-CoV-2 antibodies among NYC adults. Unlike crowding and neighborhood poverty, living in subsidized housing did not explain racial and ethnic disparities in COVID-19.

Association between HIV clinic caseloads and viral load suppression in New York City.

The relationship between HIV patient caseload and a clinic's ability to achieve viral load suppression (VLS) in their HIV patient population is not understood. The New York City Department of Health and Mental Hygiene (NYCDOHMH) administered a survey to clinics providing HIV care to people living with HIV (PLWH) in NYC in 2016. Clinics were stratified by quartiles of HIV patient caseload and dichotomized by whether ≥85% (n = 36) or <85% (n = 74) of their patients achieved VLS. Multivariable logistic regression adjusted for confounders of age, sex, ethnicity, and race. Provider to patient ratios (PPR) were calculated for each clinic as staffing full time equivalents per 100 HIV patients.

Dynamic residential movement and depression among the World Trade Center Health Registry enrollees.

PURPOSE: Residential instability is associated with poor mental health, but its causal inference is challenging due to time-varying exposure and confounding, and the role of changing social environments. We tested the association between frequent residential moving and depression risk among adults exposed to the 9/11 disaster. METHODS: We used four waves of survey data from the World Trade Center Health Registry. We measured residential movement and depression using geocoded annual address records and the Personal Health Questionnaire Depression Scale, respectively, for a prospective cohort of 38,495 adults. We used the longitudinal Targeted Maximum Likelihood Method to estimate depression risk by frequent residential moving and conducted causal mediation analysis to evaluate a mediating role of social environments. RESULTS: Most enrollees (68%) did not move in 2007-2014, and 6% moved at least once every 4 years. The remaining 26% moved less frequently (e.g., only moving in 2007-2010). Frequent moving versus no moving was associated with risk of depression in 2015-16 (RR = 1.20, 95% CI = 1.06, 1.37). Frequent residential moving-depression pathway was mediated by high social integration (OR = 0.93, 95% CI = 0.90, 0.97). CONCLUSION: These findings demonstrate the importance of social networks in understanding increased risk of depression associated with housing instability.

The use of electronic health records to inform cancer surveillance efforts: a scoping review and test of indicators for public health surveillance of cancer prevention and control.

INTRODUCTION: State cancer prevention and control programs rely on public health surveillance data to set objectives to improve cancer prevention and control, plan interventions, and evaluate state-level progress towards achieving those objectives. The goal of this project was to evaluate the validity of using electronic health records (EHRs) based on common data model variables to generate indicators for surveillance of cancer prevention and control for these public health programs. METHODS: Following the methodological guidance from the PRISMA Extension for Scoping Reviews, we conducted a literature scoping review to assess how EHRs are used to inform cancer surveillance. We then developed 26 indicators along the continuum of the cascade of care, including cancer risk factors, immunizations to prevent cancer, cancer screenings, quality of initial care after abnormal screening results, and cancer burden. Indicators were calculated within a sample of patients from the New York City (NYC) INSIGHT Clinical Research Network using common data model EHR data and were weighted to the NYC population using post-stratification. We used prevalence ratios to compare these estimates to estimates from the raw EHR of NYU Langone Health to assess quality of information within INSIGHT, and we compared estimates to results from existing surveillance sources to assess validity. RESULTS: Of the 401 identified articles, 15% had a study purpose related to surveillance. Our indicator comparisons found that INSIGHT EHR-based measures for risk factor indicators were similar to estimates from external sources. In contrast, cancer screening and vaccination indicators were substantially underestimated as compared to estimates from external sources. Cancer screenings and vaccinations were often recorded in sections of the EHR that were not captured by the common data model. INSIGHT estimates for many quality-of-care indicators were higher than those calculated using a raw EHR. CONCLUSION: Common data model EHR data can provide rich information for certain indicators related to the cascade of care but may have substantial biases for others that limit their use in informing surveillance efforts for cancer prevention and control programs.

Neighborhood-Level Chronic Disease Surveillance: Utility of Primary Care Electronic Health Records and Emergency Department Claims Data.

CONTEXT: Disease burden may vary substantively across neighborhoods in an urban setting. Yet, data available for monitoring chronic conditions at the neighborhood level are scarce. Large health care data sets have potential to complement population health surveillance. Few studies have examined the utility of health care data for neighborhood-level surveillance. OBJECTIVE: We examined the use of primary care electronic health records (EHRs) and emergency department (ED) claims for identifying neighborhoods with higher chronic disease burden and neighborhood-level prevalence estimation. DESIGN: Comparison of hypertension and diabetes estimates from EHRs and ED claims with survey-based estimates. SETTING: Forty-two United Hospital Fund neighborhoods in New York City. PARTICIPANTS: The EHR sample comprised 708 452 patients from the Hub Population Health System (the Hub) in 2015, and the ED claim sample comprised 1 567 870 patients from the Statewide Planning and Research Cooperative System in 2015. We derived survey-based estimates from 2012 to 2016 Community Health Survey (n = 44 189). MAIN OUTCOME MEASURE: We calculated hypertension and diabetes prevalence estimates by neighborhood from each data source. We obtained Pearson correlation and absolute difference between EHR-based or claims-based estimates and survey-based estimates. RESULTS: Both EHR-based and claims-based estimates correlated strongly with survey-based estimates for hypertension (0.91 and 0.72, respectively) and diabetes (0.83 and 0.82, respectively) and identified similar neighborhoods of higher burden. For hypertension, 10 and 17 neighborhoods from the EHRs and ED claims, respectively, had an absolute difference of more than 5 percentage points from the survey-based estimate. For diabetes, 15 and 4 neighborhoods from the EHRs and ED claims, respectively, differed from the survey-based estimate by more than 5 percentage points. CONCLUSIONS: Both EHRs and ED claims data are useful for identifying neighborhoods with greater disease burden and have potential for monitoring chronic conditions at the neighborhood level.

Population-Based Estimates of Coronavirus Disease 2019 (COVID-19)-like Illness, COVID-19 Illness, and Rates of Case Ascertainment, Hospitalizations, and Deaths-Noninstitutionalized New York City Residents, March-April 2020.

Using a population-based, representative telephone survey, ~930 000 New York City residents had COVID-19 illness beginning 20 March-30 April 2020, a period with limited testing. For every 1000 persons estimated with COVID-19 illness, 141.8 were tested and reported as cases, 36.8 were hospitalized, and 12.8 died, varying by demographic characteristics.

Difference in Hospital Utilization Within the First 12 Months Among Low-Birth-Weight Infants in Medicaid Managed Care Versus Fee-for-Service: A Regression Discontinuity Study.

OBJECTIVE: To examine the effect of Medicaid managed care (MMC) versus Medicaid fee-for-service (FFS) on emergency department (ED) use and hospitalization during the first 6 and 12 months of life among low-birth-weight (LBW) infants. METHODS: We used the New York City Office of Vital Statistics-Statewide Planning and Research Cooperative System (OVS-SPARCS) dataset to identify 9135 LBW infants born to female Medicaid beneficiaries in New York City from January 2008-March 2012. We applied a robust regression discontinuity framework using a New York State Medicaid policy in effect at that time. This policy automatically enrolled infants born to female Medicaid beneficiaries to Medicaid managed care (MMC) or Medicaid fee-for-service (FFS) based on their birth weight (less than 1200 g vs. 1200-2500 g) during the first 6 months of their lives. RESULTS: LBW infants in MMC had an average 0.16% points higher probability of being hospitalized within the first year of their lives than those in Medicaid FFS (p-value = 0.04). CONCLUSIONS FOR PRACTICE: More research is necessary to understand possible differences in healthcare utilization between MMC and FFS participants with high health risks.

Housing Subsidies and Housing Stability are Associated with Better HIV Medical Outcomes Among Persons Who Experienced Homelessness and Live with HIV and Mental Illness or Substance Use Disorder.

Among 958 applicants to a supportive housing program for low-income persons living with HIV (PLWH) and mental illness or a substance use disorder, we assessed impacts of housing placement on housing stability, HIV care engagement, and viral suppression. Surveillance and administrative datasets provided medical and residence information, including stable (e.g., rental assistance, supportive housing) and unstable (e.g., emergency shelter) government-subsidized housing. Sequence analysis identified a "quick stable housing" pattern for 67% of persons placed by this program within 2 years, vs. 28% of unplaced. Compared with unplaced persons not achieving stable housing quickly, persons quickly achieving stable housing were more likely to engage in care, whether placed (per Poisson regression, ARR: 1.14;95% CI 1.09-1.20) or unplaced (1.19;1.13-1.25) by this program, and to be virally suppressed, whether placed (1.22;1.03-1.44) or unplaced (1.26, 1.03-1.56) by this program. Housing programs can help homeless PLWH secure stable housing quickly, manage their infection, and prevent transmission.

RESUMEN: Unas 958 personas de bajos recursos y quienes viven con VIH y enfermedades mentales o bien presentan problemas de abuso de sustancias solicitaron a un programa de vivienda complementada con servicios de apoyo. Entre ellas, se evaluó los impactos de la colocación en viviendas sobre la estabilidad en la misma, así como la participación en los cuidados médicos para el VIH, y la supresión de la carga viral. Las bases de datos administrativas y del registro de vigilancia brindaron información médica y domiciliar, incluyendo información sobre vivienda estable (por ejemplo, asistencia de pago de renta a largo plazo, o vivienda complementada con servicios de apoyo) y vivienda inestable (por ejemplo, alojamiento de emergencia temporal) subsidiada por el gobierno. El método "análisis de secuencia" permitió identificar una pauta caracterizada por estabilidad domiciliar conseguida de modo ligero (es decir, de forma oportuna) en el 67% de las personas quienes fueron colocadas por este programa dentro de un lapso de dos años, comparado con 28% de las personas quienes no fueron colocadas. En comparación con las personas quienes no fueron colocadas y no lograron estabilidad de vivienda de modo ligero, las personas quienes lograron estabilidad de vivienda de modo ligero tuvieron una mayor probabilidad de participar en cuidados médicos, ya sea que fueran colocadas (según regresión de Poisson, cociente de riesgo ajustado: 1.14; intervalo de confianza de 95%: 1.09-1.20) o no fueran colocadas (1.19, 1.13-1.25) por este programa, así como de lograr la supresión de la carga viral, ya sea que fueran colocadas (1.22, 1.03-1.44) o no fueran colocadas (1.26, 1.03-1.56) por este programa. Los programas que facilitan la colocación en o el pago de vivienda y apoyo en el mismo pueden ayudar a las personas con VIH y sin hogar obtener vivienda estable de modo ligero, controlar su infección, y prevenir la transmisión.

Collective Trauma and Mental Health Hospitalization Rates Among Children in New York State, 1999-2013: Age, Period, and Cohort Effects.

Mental health hospitalization rates among U.S. children have been increasing locally and nationally in recent decades. Children in New York State (NYS) have also witnessed several collective traumatic events during the last two decades including the September 11, 2001, terrorist attacks (9/11), the Great Recession, and Hurricane Sandy (2012) and its aftermath. Decomposition of these rates into age, period, and cohort effects may help elucidate how large-scale collective traumatic events may be driving time trends. This study examined age-period-cohort effects in children and youth mental health hospitalizations in NYS from 1999-2013. Age effects followed a linear trend from age 5 years, B = -2.76, 95% CI [-3.48, -2.03)] up to age 15 years, B = 1.62, 95% CI [1.52, 1.73]. The largest period effects were noted in 2004, B = 0.36, 95% CI [0.28, 0.45], and in 2013, B = 0.31, 95% CI [0.15, 0.47], approximately 3 years after 9/11 and the Great Recession, respectively. The largest birth cohort effect was noted for children born in 1992-1995 (range: 0.29 for children born in 1992-0.27 for children born in 1995), suggesting that the birth cohorts who experienced the 9/11 attacks during middle childhood and the Great Recession during puberty are at increased risk of mental health hospitalizations compared to other birth cohorts.

Housing versus treatment first for supportive housing participants with substance use disorders: A comparison of housing and public service use outcomes.

Background: Homeless persons with substance use disorders (SUD) have high disease risk, poor access to health care, and are frequent users of Medicaid and other social services. Low-demand supportive housing with no prerequisites for treatment or sobriety has been shown to improve housing stability and decrease public service use for chronically homeless persons with serious mental illness (SMI) and chronic medical conditions. The impact of low-demand housing on individuals with SUD but without co-occurring SMI has been little studied. This evaluation compares housing retention and use of crisis public services (jail, emergency department visits, hospitalization, and substance detoxification) between individuals treated and untreated for SUD before move-in to a low-demand supportive housing program in New York City. Methods: The authors used matched administrative records for individuals with SUD but no SMI placed in supportive housing during 2007-2012. Participants received SUD treatment (n = 1425; treated participants) or were not treated (n = 512; active users) at housing application. Propensity score-weighted regression analyses were used to best estimate the effect of SUD treatment on incarceration, public service utilization, and housing retention. Results: Persons not treated for SUD had a significantly longer tenure in supportive housing than treated participants. However, not treated tenants were more likely to be incarcerated. Opioid agonist therapy and older age decreased the risk of housing discharge, whereas detoxification and inpatient SUD treatment increased the risk of discharge. Conclusions: Persons with SUD can achieve residential stability in supportive housing that does not require SUD treatment before admission.

Randomised clinical trial of a motivational interviewing intervention to improve oral health education amongst older adults in Philadelphia: 12-month evaluation of non-clinical outcomes.

OBJECTIVES: We conducted a trial to assess the treatment fidelity of an individual-based oral health education intervention utilising motivational interviewing (MI) techniques and its efficacy when compared to a group-based traditional oral health education intervention (TOHE) and a standard of care group (SC) in a sample from Philadelphia during a 12-month follow-up. BACKGROUND: There is lack of information on how different types of oral health educational interventions affect older adults on non-clinical outcomes including changes in oral health-related quality of life (OHRQoL), oral health self-efficacy (SE) and oral health knowledge (OHK). MATERIALS AND METHODS: One hundred and eighty patients were randomly allocated to TOHE, MI and SC groups. Treatment fidelity was measured in 16 non-study patients. The MI intervention was administered by a public health dental hygienist (PHDH). All interviews were audio-recorded and coded by an expert using the Motivational Interviewing Treatment Integrity (MITI) Code. Multivariable longitudinal regression analyses accounting for baseline demographics and correlated errors due to repeated measures via generalised estimating equation were conducted following an intention to treat approach. RESULTS: Over the 1-year follow-up, SE and OHRQoL scores significantly improved amongst the MI group whereas both outcomes worsened amongst the SC group. During the same period, SE and OHRQoL did not change in the TOHE group. CONCLUSION: Findings from the study support the fidelity of this intervention and the improvement of all non-clinical outcomes after 12 months amongst the MI group.

ICDAS Is Widely Used as Standardized and Reliable Caries Detection Criteria, but Its Reporting Varies Widely.

ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Caries reporting in studies that used the International Caries Detection and Assessment System: A scoping review. ElSalhy M, Ali U, Lai H, Flores-Mir C, Amin M. Community Dent Oral Epidemiol 2019; 47(1): 92-102. SOURCE OF FUNDING: Alberta Innovates-Health Solutions Grant Award Number RES 0027148 and The Honorary Izaak Walton Killam Memorial Scholarship. TYPE OF STUDY/DESIGN: Comprehensive literature review (a scoping review).

Supportive Housing and Its Relationship With Diabetes Diagnosis and Management Among Homeless Persons in New York City.

Supportive housing addresses a fundamental survival need among homeless persons, which can lead to reduced risk of diabetes mellitus and improved diabetes care. We tested the association between supportive housing and diabetes outcomes among homeless adults who were eligible for New York City's supportive housing program in 2007-2012. We used multiple administrative data sources, identifying 7,525 Medicaid-eligible adults. The outcomes included receiving medical evaluation and management services, hemoglobin A1C and lipid testing (n = 1,489 persons with baseline diabetes), and incidence of new diabetes diagnoses (n = 6,036 persons without baseline diabetes) in the 2 years postbaseline. Differences in these outcomes by placement were estimated using inverse-probability-of-treatment weighting. Placed persons were more likely to receive evaluation and management services (relative risk (RR) = 1.03, 95% confidence interval (CI): 1.01, 1.04) than unplaced persons. For those with baseline diabetes, placed persons were more likely to receive hemoglobin A1C tests (RR = 1.10, 95% CI: 1.02, 1.19) and lipid tests (RR = 1.09, 95% CI: 1.02, 1.17). For those without baseline diabetes, placement was also associated with lower risk of new diabetes diagnoses (RR = 0.87, 95% CI: 0.76, 0.99). These findings show that benefits of supportive housing may be extended to diabetes care and prevention.