Sleep Management in Posttraumatic Stress Disorder (PTSD): A Systematic Review.

Posttraumatic stress disorder (PTSD) is a condition that can emerge after exposure to a traumatic event. It involves several symptoms, including distressing memories or dreams and/or dissociative reactions; psychological distress at exposure to trauma cues; physiologic reactions to cues; avoidance of stimuli associated with the event; negative alterations in cognitions and mood associated with the trauma; and alterations in arousal and reactivity, including sleep disturbance. The purpose of this systematic review is to synthesize the evidence from randomized controlled trials on the effects that interventions for adults with PTSD have on sleep outcomes. The authors searched research databases and bibliographies of existing systematic reviews to identify pertinent trials published in English; literature was identified by the searches using predetermined eligibility criteria. The primary outcome domain included sleep quality, insomnia, and nightmares. Secondary outcomes were PTSD symptoms and adverse events. Risk of bias and the quality of evidence were assessed for each outcome. The identified interventions addressed pharmacological, psychological, behavioral, complementary, and integrative medicine treatments aimed at improving sleep or lessening other PTSD symptoms. Interventions in general showed an effect on sleep. Interventions explicitly targeting sleep-particularly psychotherapy targeting sleep-showed larger effects on sleep than did interventions not targeting sleep. Heterogeneity was considerable, but sleep effect estimates were not systematically affected by trauma type, setting, or modality. Comparative effectiveness studies are needed to support the findings.

Sleep management in posttraumatic stress disorder: a systematic review and meta-analysis.

OBJECTIVE: Post-traumatic stress disorder (PTSD) can lead to many negative secondary outcomes for patients, including sleep disturbances. The objective of this meta-analysis is (1) to evaluate the effect of interventions for adults with PTSD on sleep outcomes, PTSD outcomes, and adverse events, and (2) to evaluate the differential effectiveness of interventions aiming to improve sleep compared to those that do not. METHODS: Nine databases were searched for relevant randomized controlled trials (RCTs) in PTSD from January 1980 to October 2019. Two independent reviewers screened 7176 records, assessed 2139 full-text articles, and included 89 studies in 155 publications for this review. Sleep, PTSD, and adverse event outcomes were abstracted and meta-analyses were performed using the Hartung-Knapp-Sidik-Jonkman method for random effects. RESULTS: Interventions improved sleep outcomes (standardized mean difference [SMD] -0.56; confidence interval [CI] -0.75 to -0.37; 49 RCTs) and PTSD symptoms (SMD -0.48; CI -0.67 to -0.29; 44 RCTs) across studies. Adverse events were not related to interventions overall (RR 1.17; CI 0.91 to 1.49; 15 RCTs). Interventions targeting sleep improved sleep outcomes more than interventions that did not target sleep (p = 0.03). Improvement in PTSD symptoms did not differ between intervention types. CONCLUSIONS: Interventions for patients with PTSD significantly improve sleep outcomes, especially interventions that specifically target sleep. Treatments for adults with PTSD directed towards sleep improvement may benefit patients who suffer from both ailments.

Clinical interventions for adults with comorbid alcohol use and depressive disorders: A systematic review and network meta-analysis.

BACKGROUND: Uncertainty remains regarding the effectiveness of treatments for patients diagnosed with both an alcohol use disorder (AUD) and depressive disorder. This study aimed to compare the effectiveness of clinical interventions for improving symptoms of adults with co-occurring AUDs and depressive disorders. METHODS AND FINDINGS: We searched CINAHL, ClinicalTrials.gov, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, Excerpta Medica Database, International Clinical Trials Registry Platform (ICTRP), PubMed, PsycINFO, and Web of Science from inception to December 2020. We included randomized controlled trials (RCTs) evaluating clinical interventions for adults with co-occurring AUDs and depressive disorders. Two independent reviewers extracted study-level information and outcome data. We assessed risk of bias using the Cochrane Risk of Bias tool, used frequentist random effects models for network meta-analyses, and rated our confidence in effect estimates using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach. Primary outcomes were remission from depression and alcohol use. Secondary outcomes were depressive symptoms, alcohol use, heavy drinking, health-related quality of life, functional status, and adverse events. We used standardized mean differences (SMDs) for continuous outcomes and odds ratios (ORs) for dichotomous outcomes to estimate intervention effects. Overall, 36 RCTs with 2,729 participants evaluated 14 pharmacological and 4 psychological interventions adjunctive to treatment as usual (TAU). Studies were published from 1971 to 2019, conducted in 13 countries, and had a median sample size of 50 participants (range: 14 to 350 participants). We have very low confidence in all estimates of intervention effects on our primary outcomes (i.e., remission from depression and remission from alcohol use). We have moderate confidence that cognitive behavioral therapies (CBTs) demonstrated greater benefit than no additional treatment (SMD = -0.84; 95% confidence interval [CI], -1.05 to -0.63; p < 0.001) for depressive symptoms and low confidence (SMD = -0.25; 95% CI, -0.47 to -0.04; p = 0.021) for alcohol use. We have low confidence that tricyclic antidepressants (TCAs) demonstrated greater benefit than placebo (SMD = -0.37; 95% CI, -0.72 to -0.02, p = 0.038) for depressive symptoms. Compared with placebo, we have moderate confidence that selective serotonin reuptake inhibitors (SSRIs) demonstrated greater benefit for functional status (SMD = -0.92; 95% CI, -1.36 to -0.47, p < 0.001) and low confidence for alcohol use (SMD = -0.30; 95% CI, -0.59 to -0.02, p = 0.039). However, we have moderate confidence that patients receiving SSRIs also were more likely to experience an adverse event (OR = 2.20; 95% CI, 0.94 to 5.16, p = 0.07). We have very low confidence in all other effect estimates, and we did not have high confidence in any effect estimates. Limitations include the sparsity of evidence on intervention effects over the long term, risks of attrition bias, and heterogeneous definitions of adverse events in the evidence base. CONCLUSIONS: We are very uncertain about the existence (or not) of any non-null effects for our primary outcomes of remission from depression and remission from alcohol use. The available evidence does suggest that CBTs likely reduced, and TCAs may have resulted in a slight reduction of depressive symptoms. SSRIs likely increased functional status, and SSRIs and CBTs may have resulted in a slight reduction of alcohol use. However, patients receiving SSRIs also likely had an increased risk of experiencing an adverse event. In addition, these conclusions only apply to postintervention and are not against active comparators, limiting the understanding of the efficacy of interventions in the long term as well as the comparative effectiveness of active treatments. As we did not have high confidence in any outcomes, additional studies are warranted to provide more conclusive evidence.

Can Using an Intensive Management Program Improve Primary Care Staff Experiences With Caring for High-Risk Patients?

BACKGROUND: Complex, high-risk patients present challenges for primary care staff. Intensive outpatient management teams aim to serve as a resource for usual primary care to improve care for high-risk patients without adding burden to the primary care staff. Whether such assistance can influence the primary care staff experiences is unknown. The objective of this study was to examine improvement in job satisfaction and intent to stay for primary care staff at the US Department of Veterans Affairs (VA) who sought assistance from an intensive management program. METHODS: Longitudinal analysis of a staff cohort that completed 2 cross-sectional surveys 18 months apart, controlling for outcomes at time 1. Participants included 144 primary care providers at 5 geographically diverse VA health care systems who completed both surveys. Measured outcomes included job satisfaction and intent to stay within primary care at the VA (measured at time 2). Predictors included likelihood of using intensive management teams (measured at time 1). Covariates included outcomes and professional/practice characteristics (measured at time 1). RESULTS: The response rate for primary care staff that completed both surveys was 21%. Staff who indicated at time 1 that they were more likely to use intensive management teams for high-risk patients reported significantly higher satisfaction and intention to stay at VA primary care at time 2 (both P < .05). CONCLUSIONS: A VA primary care workforce might benefit from assistance from intensive management teams for high-risk patients. Additional work is needed to understand the mechanisms by which primary care staff benefit and how to optimize them.

Examining Correlates of Pre-ART and Early ART Adherence to Identify Key Factors Influencing Adherence Readiness.

Although current standard of care for HIV typically involves immediate initiation of antiretroviral therapy (ART), most patients can benefit from first assessing adherence readiness and addressing any barriers to optimal adherence. A sample of 176 HIV patients planning to start ART enrolled in a controlled trial of an adherence intervention that was based on the Information Motivation and Behavioral skills (IMB) model of health behavior. We examined correlates of multiple adherence readiness measures, as well as electronically measured early ART adherence, to identify variables most important for readiness to adhere well at the start of treatment. Education level, recency of HIV diagnosis and knowledge and commitment to adherence were found to be associated with both ART readiness and early ART adherence. These findings suggest that resources to support adherence readiness should target more experienced HIV patients, and strive to bolster knowledge and attitudes that reinforce commitment to adherence.

An evidence map of randomised controlled trials evaluating genetic therapies.

OBJECTIVES: Genetic therapies replace or inactivate disease-causing genes or introduce new or modified genes. These therapies have the potential to cure in a single application rather than treating symptoms through repeated administrations. This evidence map provides a broad overview of the genetic therapies that have been evaluated in randomised controlled trials (RCTs) for efficacy and safety. ELIGIBILITY CRITERIA: Two independent reviewers screened publications using predetermined eligibility criteria. Study details and data on safety and efficacy were abstracted from included trials. Results were visualised in an evidence map. INFORMATION SOURCES: We searched PubMed, EMBASE, Web of Science, ClinicalTrials.gov and grey literature to November 2018. RISK OF BIAS: Only RCTs were included in this review to reduce the risk of selection bias in the evaluation of genetic therapy safety and efficacy. INCLUDED STUDIES: We identified 119 RCTs evaluating genetic therapies for a variety of clinical conditions. SYNTHESIS OF RESULTS: On average, samples included 107 participants (range: 1-1022), and were followed for 15 months (range: 0-124). Interventions using adenoviruses (40%) to treat cardiovascular diseases (29%) were the most common. DESCRIPTION OF THE EFFECT: In RCTs reporting safety and efficacy outcomes, in the majority (60%) genetic therapies were associated with improved symptoms but in nearly half (45%) serious adverse event (SAEs) were also reported. Improvement was reported in trials treating cancer, cardiovascular, ocular and muscular diseases. However, only 19 trials reported symptom improvement for at least 1 year. STRENGTHS AND LIMITATIONS OF EVIDENCE: This is the first comprehensive evidence map of RCTs evaluating the safety and efficacy of genetic therapies. Evidence for long-term effectiveness and safety is still sparse. This lack of evidence has implications for the use, ethics, pricing and logistics of genetic therapies. INTERPRETATION: This evidence map provides a broad overview of research studies that allow strong evidence statements regarding the safety and efficacy of genetic therapies. Most interventions improve symptoms, but SAE are also common. More research is needed to evaluate genetic therapies with regard to the potential to cure diseases.

Fertility, mortality, migration, and population scenarios for 195 countries and territories from 2017 to 2100: a forecasting analysis for the Global Burden of Disease Study.

BACKGROUND: Understanding potential patterns in future population levels is crucial for anticipating and planning for changing age structures, resource and health-care needs, and environmental and economic landscapes. Future fertility patterns are a key input to estimation of future population size, but they are surrounded by substantial uncertainty and diverging methodologies of estimation and forecasting, leading to important differences in global population projections. Changing population size and age structure might have profound economic, social, and geopolitical impacts in many countries. In this study, we developed novel methods for forecasting mortality, fertility, migration, and population. We also assessed potential economic and geopolitical effects of future demographic shifts. METHODS: We modelled future population in reference and alternative scenarios as a function of fertility, migration, and mortality rates. We developed statistical models for completed cohort fertility at age 50 years (CCF50). Completed cohort fertility is much more stable over time than the period measure of the total fertility rate (TFR). We modelled CCF50 as a time-series random walk function of educational attainment and contraceptive met need. Age-specific fertility rates were modelled as a function of CCF50 and covariates. We modelled age-specific mortality to 2100 using underlying mortality, a risk factor scalar, and an autoregressive integrated moving average (ARIMA) model. Net migration was modelled as a function of the Socio-demographic Index, crude population growth rate, and deaths from war and natural disasters; and use of an ARIMA model. The model framework was used to develop a reference scenario and alternative scenarios based on the pace of change in educational attainment and contraceptive met need. We estimated the size of gross domestic product for each country and territory in the reference scenario. Forecast uncertainty intervals (UIs) incorporated uncertainty propagated from past data inputs, model estimation, and forecast data distributions. FINDINGS: The global TFR in the reference scenario was forecasted to be 1·66 (95% UI 1·33-2·08) in 2100. In the reference scenario, the global population was projected to peak in 2064 at 9·73 billion (8·84-10·9) people and decline to 8·79 billion (6·83-11·8) in 2100. The reference projections for the five largest countries in 2100 were India (1·09 billion [0·72-1·71], Nigeria (791 million [594-1056]), China (732 million [456-1499]), the USA (336 million [248-456]), and Pakistan (248 million [151-427]). Findings also suggest a shifting age structure in many parts of the world, with 2·37 billion (1·91-2·87) individuals older than 65 years and 1·70 billion (1·11-2·81) individuals younger than 20 years, forecasted globally in 2100. By 2050, 151 countries were forecasted to have a TFR lower than the replacement level (TFR <2·1), and 183 were forecasted to have a TFR lower than replacement by 2100. 23 countries in the reference scenario, including Japan, Thailand, and Spain, were forecasted to have population declines greater than 50% from 2017 to 2100; China's population was forecasted to decline by 48·0% (-6·1 to 68·4). China was forecasted to become the largest economy by 2035 but in the reference scenario, the USA was forecasted to once again become the largest economy in 2098. Our alternative scenarios suggest that meeting the Sustainable Development Goals targets for education and contraceptive met need would result in a global population of 6·29 billion (4·82-8·73) in 2100 and a population of 6·88 billion (5·27-9·51) when assuming 99th percentile rates of change in these drivers. INTERPRETATION: Our findings suggest that continued trends in female educational attainment and access to contraception will hasten declines in fertility and slow population growth. A sustained TFR lower than the replacement level in many countries, including China and India, would have economic, social, environmental, and geopolitical consequences. Policy options to adapt to continued low fertility, while sustaining and enhancing female reproductive health, will be crucial in the years to come. FUNDING: Bill & Melinda Gates Foundation.

Effects of Medication-Assisted Treatment (MAT) for Opioid Use Disorder on Functional Outcomes: A Systematic Review.

This systematic review addresses the question: What are the effects of medication-assisted treatment (MAT) that use buprenorphine, buprenorphine combined with naloxone, methadone, or naltrexone for opioid use disorder (OUD) on functional outcomes compared with wait-list, placebo, treatment without medication, any other comparator, or each other (e.g., buprenorphine versus naltrexone)? Functional outcomes investigated included cognitive (e.g., memory), physical (e.g., fatigue), occupational (e.g., employment status), social/behavioral (e.g., criminal activity), and neurological (e.g., balance) function. The authors searched five scientific research databases from inception to 2017 and reference mined existing reviews. Two independent literature reviewers screened 6,292 citations; 1,327 full-text publications were reviewed in detail and 37 studies met inclusion criteria. Critical appraisals assessed studies in detail, and quality of evidence was rated using established criteria. Results were synthesized in meta-analyses and presented in comprehensive evidence tables. Although MAT patients performed significantly better on some functional outcomes than persons with OUD who did not receive MAT, MAT patients performed worse on several cognitive measures than did matched "healthy" controls with no history of substance use disorder (SUD) or OUD. Because of the moderate-to-high risk of bias of most studies, quality of evidence is low or very low for all findings. The small number of studies reporting on outcomes of interest and the weaknesses in the body of evidence prevent making strong conclusions about MAT effects on functional outcomes. The literature shows that more research is needed that targets functional outcomes specifically, and there is, in particular, a lack of research evaluating potential differences in functional effects among medication types, the route of administration, treatment modality, and length of treatment.

Evaluating Measures of Pre-ART Adherence Readiness Through Associations with ART Adherence in the Early Months of Treatment.

Determining a patient's readiness to adhere well prior to the start of ART provides an opportunity to address adherence barriers before poor pill taking habits form, and ultimately improve clinical outcomes and resource utilization. Three methods of measuring adherence readiness and their comparative utility in predicting early ART adherence were examined in a sample of 176 patients preparing to start ART. Data were analyzed data from a randomized controlled trial of a cognitive-behavioral adherence intervention. Three measures of pre-ART adherence readiness (provider estimate, 1 week vitamin practice trials, and self-report [HIV Medication Readiness Scale; Transtheoretical Stages of Change item (TSOC)] were examined in association with measures of (1) ART initiation, (2) ART retention, (3) mean electronic dose-taking adherence, and (4) achievement of optimal (85+ % dose-taking) adherence, over the first 3 months of ART. Of the 176 patients, 166 (94.3%) started ART; 124 (74.7% of those who started ART; 70.5% of whole sample) completed the first 3 months of ART. Among the 124 still on ART at month 3, mean dose-taking adherence was 79.3%, and 62 (35.2% of whole sample) achieved optimal adherence. The provider estimate was the only readiness measure significantly associated with each of the four measures of early ART adherence, and it had the highest concordance statistics (71% PPV and 62.3% NPV) with optimal early ART adherence. Practice trial adherence was only associated with ART initiation and retention. Dose-taking adherence over 3 months was significantly correlated with the provider estimate and the two self-reports. Each method of early treatment adherence has its own utility, but the provider estimate had the best overall performance in predicting early ART adherence.

Obesity Prevention Interventions and Implications for Energy Balance in the United States and Mexico: A Systematic Review of the Evidence and Meta-Analysis.

OBJECTIVE: Obesity is preventable and yet continues to be a major risk factor for chronic disease. Multiple prevention approaches have been proposed across multiple settings where people live, work, learn, worship, and play. This review searched the vast literature on obesity prevention interventions to assess their effects on daily energy consumed and energy expended. METHODS: This systematic review (PROSPERO registration CRD42017077083) searched seven databases for systematic reviews and studies reporting energy intake and expenditure. Two independent reviewers screened 5,977 citations; data abstraction supported an evidence map, comprehensive evidence tables, and meta-analysis; critical appraisal assessed risk of bias; and the quality of evidence was evaluated using Grading of Recommendations Assessment, Development and Evaluation (GRADE). RESULTS: Hundreds of published reviews were identified. However, few studies reported on energy intake and expenditure to determine intervention success. Ninety-nine studies across all intervention domains were identified. Few areas demonstrated statistically significant effects across studies; school-based approaches and health care initiatives reduced energy consumed, education reduced energy consumed and increased energy expended, and social-group approaches increased energy expenditure. CONCLUSIONS: Despite the amount of research on obesity prevention interventions, very few studies have provided relevant information on energy intake and expenditure, two factors determining weight gain. Future research needs to fill this gap to identify successful public health policies.

Advancing our Understanding of Heat Wave Criteria and Associated Health Impacts to Improve Heat Wave Alerts in Developing Country Settings.

Health effects of heat waves with high baseline temperatures in areas such as India remain a critical research gap. In these regions, extreme temperatures may affect the underlying population's adaptive capacity; heat wave alerts should be optimized to avoid continuous high alert status and enhance constrained resources, especially under a changing climate. Data from registrars and meteorological departments were collected for four communities in Northwestern India. Propensity Score Matching (PSM) was used to obtain the relative risk of mortality and number of attributable deaths (i.e., absolute risk which incorporates the number of heat wave days) under a variety of heat wave definitions (n = 13) incorporating duration and intensity. Heat waves' timing in season was also assessed for potential effect modification. Relative risk of heat waves (risk of mortality comparing heat wave days to matched non-heat wave days) varied by heat wave definition and ranged from 1.28 [95% Confidence Interval: 1.11-1.46] in Churu (utilizing the 95th percentile of temperature for at least two consecutive days) to 1.03 [95% CI: 0.87-1.23] in Idar and Himmatnagar (utilizing the 95th percentile of temperature for at least four consecutive days). The data trended towards a higher risk for heat waves later in the season. Some heat wave definitions displayed similar attributable mortalities despite differences in the number of identified heat wave days. These findings provide opportunities to assess the "efficiency" (or number of days versus potential attributable health impacts) associated with alternative heat wave definitions. Findings on both effect modification and trade-offs between number of days identified as "heat wave" versus health effects provide tools for policy makers to determine the most important criteria for defining thresholds to trigger heat wave alerts.

Evaluation of the Mental Health Services Act in Los Angeles County: Implementation and Outcomes for Key Programs.

Los Angeles County used Mental Health Services Act (MHSA) funds to greatly expand access to Full-Service Partnership (FSP) services and offer new prevention and early intervention (PEI) services. This study examines the reach of key MHSA-funded activities and what the impact of those activities has been, with a focus on PEI programs for children and transition-age youth (TAY) and FSP programs for children, TAY, and adults. The evaluation found evidence that the Los Angeles County Department of Mental Health (LAC DMH) is reaching the highly vulnerable population it seeks to reach with its FSP and youth PEI programs. Furthermore, those reached by the programs experience improvements in their mental health and life circumstances. Refining data collection will enable more-thorough evaluation of processes of care and would inform the program's quality-improvement efforts.

Participatory Modeling of Climate Change Impacts on Public Health in Long Beach, California: Discussion from a Workshop Hosted by the RAND Frederick S. Pardee Center for Longer Range Global Policy and the Future Human Condition.

Participatory modeling aims to incorporate stakeholders into the process of developing models for the purpose of eliciting information, appropriately reflecting stakeholder interests and concerns, and improving stakeholder understanding, and acceptance of the analysis. Participatory modeling, using causal loop diagramming (CLD), was used to explore the impact of climate change on public health in Long Beach, California. CLD, commonly used in participatory modeling, provided useful information to serve as the basis for a quantitative system dynamics model to protect the citizens of Long Beach, and potentially other cities or regions affected by climate change. Diverse stakeholders constructed CLDs depicting the impacts of climate change on public health in Long Beach. This exercise aimed to (1) identify public health issues that might be caused or exacerbated by climate change; (2) examine the systemic connections between climate change and other drivers of public health/illness and mortality; and (3) identify feedback loops to gain an understanding of how climate change could impact public health over coming decades. Six groups of five stakeholders were tasked with depicting the impacts of climate change on public health. Each group designated a key health outcome of concern on a citywide scale, including critical drivers of the outcome at higher and lower scales if necessary (for example, state laws, or household-level decisions that affect health outcomes in the aggregate). Social, environmental, political, and economic variables were all considered. After the small group diagramming exercise, groups presented diagram results to other participants, and the discussion around the diagrams was recorded.

Effects of medication assisted treatment (MAT) for opioid use disorder on functional outcomes: A systematic review.

This systematic review synthesizes evidence on the effects of Medication-Assisted Treatment (MAT) for opioid use disorder (OUD) on functional outcomes, including cognitive (e.g., memory), physical (e.g., fatigue), occupational (e.g., return to work), social/behavioral (e.g., criminal activity), and neurological (e.g., balance) function. Five databases were searched from inception to July 2017 to identify English-language controlled trials, case control studies, and cohort comparisons of one or more groups; cross-sectional studies were excluded. Two independent reviewers screened identified literature, abstracted study-level information, and assessed the quality of included studies. Meta-analyses used the Hartung-Knapp method for random-effects models. The quality of evidence was assessed using the GRADE approach. A comprehensive search followed by 1411 full text publication screenings yielded 30 randomized controlled trials (RCTs) and 10 observational studies meeting inclusion criteria. The studies reported highly diverse functional outcome measures. Only one RCT was rated as high quality, but several methodologically sound observational studies were identified. The statistical power to detect differences in functional outcomes was unclear in most studies. When compared with matched "healthy" controls with no history of substance use disorder (SUD), in two studies MAT patients had significantly poorer working memory and cognitive speed. One study found MAT patients scored worse in aggressive responding than did "healthy" controls. A large observational study found that MAT users had twice the odds of involvement in an injurious traffic accident as non-users. When compared with persons with OUD not on MAT, one cohort study found lower fatigue rates among buprenorphine-treated OUD patients. No differences were reported for occupational outcomes and results for criminal activity and other social/behavioral areas were mixed. There were few differences among MAT drug types. A pooled analysis of three RCTs found a significantly lower prevalence of fatigue with buprenorphine compared to methadone, while a meta-analysis of the same RCTs found no statistical difference in insomnia prevalence. Three RCTs that focused on cognitive function compared the effects of buprenorphine to methadone; no statistically significant differences in memory, cognitive speed and flexibility, attention, or vision were reported. The quality of evidence for most functional outcomes was rated low or very low. In sum, weaknesses in the body of evidence prevent strong conclusions about the effects of MAT for opioid use disorder on functional outcomes. Rigorous studies of functional effects would strengthen the body of literature.

Primary Care Providers with More Experience and Stronger Self-Efficacy Beliefs Regarding Women Veterans Screen More Frequently for Interpersonal Violence.

BACKGROUND: Military sexual trauma (MST) and/or intimate partner violence (IPV) are common experiences in the growing group of women veterans using the Veterans Health Administration health care system. And even though MST screening is closely monitored at the facility level, little is known about individual primary care provider (PCP) behavior with regard to screening women for MST and IPV. OBJECTIVES: To understand how PCP experiences and beliefs regarding women's health care influence PCP-reported screening for MST and IPV. RESEARCH DESIGN AND PARTICIPANTS: We administered a cross-sectional online survey from September 2014 through April 2015 (supplemented by a mailed survey between April and May 2015) to 281 PCPs in 12 Veterans Health Administration medical centers. MEASURES AND ANALYSIS: Surveys measured PCP-reported screening frequency for MST and IPV, experience with women veterans, self-efficacy, gender-sensitive beliefs, and perceived barriers to providing comprehensive care for women. We used multivariable ordered logistic regression analysis to identify correlates of screening, weighted for nonresponse and adjusted for clustering. RESULTS: Ninety-four PCPs (34%) completed the survey. Being a designated women's health provider (p < .05) and stronger self-efficacy beliefs about screening women for MST (p < .001) were associated with reporting more frequent screening for MST. Being a designated women's health provider (p < .01), seeing women patients at least once per week (p < .001), and self-efficacy beliefs about screening women for IPV (p < .001) were associated with reporting more frequent screening for IPV. CONCLUSIONS: Veterans Health Administration initiatives to enhance PCP opportunities to screen women veterans for trauma and to strengthen self-efficacy beliefs about comprehensive women's health care may increase screening of women veterans for MST and IPV.

Heat Wave Vulnerability Mapping for India.

Assessing geographic variability in heat wave vulnerability forms the basis for planning appropriate targeted adaptation strategies. Given several recent deadly heatwaves in India, heat is increasingly being recognized as a public health problem. However, to date there has not been a country-wide assessment of heat vulnerability in India. We evaluated demographic, socioeconomic, and environmental vulnerability factors and combined district level data from several sources including the most recent census, health reports, and satellite remote sensing data. We then applied principal component analysis (PCA) on 17 normalized variables for each of the 640 districts to create a composite Heat Vulnerability Index (HVI) for India. Of the total 640 districts, our analysis identified 10 and 97 districts in the very high and high risk categories (> 2SD and 2-1SD HVI) respectively. Mapping showed that the districts with higher heat vulnerability are located in the central parts of the country. On examination, these are less urbanized and have low rates of literacy, access to water and sanitation, and presence of household amenities. Therefore, we concluded that creating and mapping a heat vulnerability index is a useful first step in protecting the public from the health burden of heat. Future work should incorporate heat exposure and health outcome data to validate the index, as well as examine sub-district levels of vulnerability.

Perceived heat stress and health effects on construction workers.

INTRODUCTION: Increasing heat waves-particularly in urban areas where construction is most prevalent, highlight a need for heat exposure assessment of construction workers. This study aims to characterize the effects of heat on construction workers from a site in Gandhinagar. MATERIALS AND METHODS: This study involved a mixed methods approach consisting of a cross sectional survey with anthropometric measurements (n = 219) and four focus groups with construction workers, as well as environmental measurements of heat stress exposure at a construction site. Survey data was collected in two seasons i.e., summer and winter months, and heat illness and symptoms were compared between the two time periods. Thematic coding of focus group data was used to identify vulnerability factors and coping mechanisms of the workers. Heat stress, recorded using a wet bulb globe temperature monitor, was compared to international safety standards. RESULTS: The survey findings suggest that heat-related symptoms increased in summer; 59% of all reports in summer were positive for symptoms (from Mild to Severe) as compared to 41% in winter. Focus groups revealed four dominant themes: (1) Non-occupational stressors compound work stressors; (2) workers were particularly attuned to the impact of heat on their health; (3) workers were aware of heat-related preventive measures; and (4) few resources were currently available to protect workers from heat stress. Working conditions often exceed international heat stress safety thresholds. Female workers and new employees might be at increased risk of illness or injury. CONCLUSION: This study suggests significant health impacts on construction workers from heat stress exposure in the workplace, showed that heat stress levels were higher than those prescribed by international standards and highlights the need for revision of work practices, increased protective measures, and possible development of indigenous work safety standards for heat exposure.

Drinking Water Quality Surveillance in a Vulnerable Urban Ward of Ahmedabad.

The World Bank estimates that 21% of all communicable diseases in India are related to unsafe water with diarrhoea alone causing more than 0.1 million deaths annually. The WHO drinking water surveillance parameters of quality, quantity, accessibility, affordability and continuity were assessed in one vulnerable ward of Ahmedabad-a fast growing city in Western India. Interviews with key informants of the ward office, health centre and water supply department, secondary analysis and mapping of field test reports and a questionnaire-based survey of different household types were conducted. We found that Ahmedabad Municipal Corporation (AMC) supplies water to the ward intermittently for two hours during the day. Housing society clusters supplement their AMC water supply with untested bore-well water. The water quality surveillance system is designed for a twenty-four-hour piped distribution of treated surface water. However, in order to maintain surveillance over an intermittent supply that includes ground water, the sampling process should include periodic surveys of water actually consumed by the citizens. The laboratory capacity of the Central Water Testing Laboratory should expand to include more refined tests for microbial and chemical contamination.

Neonates in Ahmedabad, India, during the 2010 heat wave: a climate change adaptation study.

Health effects from climate change are an international concern with urban areas at particular risk due to urban heat island effects. The burden of disease on vulnerable populations in non-climate-controlled settings has not been well studied. This study compared neonatal morbidity in a non-air-conditioned hospital during the 2010 heat wave in Ahmedabad to morbidity in the prior and subsequent years. The outcome of interest was neonatal intensive care unit (NICU) admissions for heat. During the months of April, May, and June of 2010, 24 NICU admissions were for heat versus 8 and 4 in 2009 and 2011, respectively. Both the effect of moving the maternity ward and the effect of high temperatures were statistically significant, controlling for each other. Above 42 degrees Celsius, each daily maximum temperature increase of a degree was associated with 43% increase in heat-related admissions (95% CI 9.2-88%). Lower floor location of the maternity ward within hospital which occurred after the 2010 heat wave showed a protective effect. These findings demonstrate the importance of simple surveillance measures in motivating a hospital policy change for climate change adaptation-here relocating one ward-and the potential increasing health burden of heat in non-climate-controlled institutions on vulnerable populations.