Mapping Factors That Affect the Uptake of Digital Therapeutics Within Health Systems: Scoping Review.

BACKGROUND: Digital therapeutics are patient-facing digital health interventions that can significantly alter the health care landscape. Despite digital therapeutics being used to successfully treat a range of conditions, their uptake in health systems remains limited. Understanding the full spectrum of uptake factors is essential to identify ways in which policy makers and providers can facilitate the adoption of effective digital therapeutics within a health system, as well as the steps developers can take to assist in the deployment of products. OBJECTIVE: In this review, we aimed to map the most frequently discussed factors that determine the integration of digital therapeutics into health systems and practical use of digital therapeutics by patients and professionals. METHODS: A scoping review was conducted in MEDLINE, Web of Science, Cochrane Database of Systematic Reviews, and Google Scholar. Relevant data were extracted and synthesized using a thematic analysis. RESULTS: We identified 35,541 academic and 221 gray literature reports, with 244 (0.69%) included in the review, covering 35 countries. Overall, 85 factors that can impact the uptake of digital therapeutics were extracted and pooled into 5 categories: policy and system, patient characteristics, properties of digital therapeutics, characteristics of health professionals, and outcomes. The need for a regulatory framework for digital therapeutics was the most stated factor at the policy level. Demographic characteristics formed the most iterated patient-related factor, whereas digital literacy was considered the most important factor for health professionals. Among the properties of digital therapeutics, their interoperability across the broader health system was most emphasized. Finally, the ability to expand access to health care was the most frequently stated outcome measure. CONCLUSIONS: The map of factors developed in this review offers a multistakeholder approach to recognizing the uptake factors of digital therapeutics in the health care pathway and provides an analytical tool for policy makers to assess their health system's readiness for digital therapeutics.

Long-term follow-up of an IgA nephropathy cohort: outcomes and risk factors.

AIM: IgA nephropathy (IgAN), the most common glomerulopathy worldwide and in Uruguay, raised treatment controversies. The study aimed to analyze long-term IgAN outcomes and treatment. METHODS: A retrospective analysis of a Uruguayan IgAN cohort, enrolled between 1985 and 2009 and followed up until 2020, was performed. The Ethics Committee approved the study. The inclusion criteria were (a) biopsy-proven IgAN; (b) age ≥12 years; and (c) available clinical, histologic, and treatment data. The patients were divided into two groups, with immunosuppressive (IS) or without (NoIS) treatment. Outcomes (end-stage kidney disease/kidney replacement therapy [ESKD/KRT] or all-cause death) were obtained from mandatory national registries. RESULTS: The study population included 241 patients (64.7% men), median age 32 (19.5) years, baseline blood pressure <130/80 mmHg in 37%, and microhematuria in 67.5% of patients. Baseline proteinuria, glomerulosclerosis, and a higher crescent percentage were significantly more frequent in the IS group. Proteinuria improved in both groups. Renal survival at 20 years was 74.6% without difference between groups. In the overall population and in the NoIS group, bivariate Cox regression analysis showed that baseline proteinuria, endocapillary hypercellularity, tubule interstitial damage, and crescents were associated with a higher risk of ESKD/KRT or death, but in the IS group, proteinuria and endocapillary hypercellularity were not. In the multivariate Cox analysis, proteinuria in the NoIS group, crescents in the IS group and tubule interstitial damage in both groups were independent risk factors. CONCLUSION: The IS group had more severe risk factors than the NoIS group but attained a similar outcome.

Associations between COVID-19 pandemic impact, dimensions of behavior and eating disorders: A longitudinal UK-based study.

BACKGROUND: There is growing concern about how people with eating disorders are impacted by the widespread societal restructuring during the COVID-19 crisis. AIMS: We aimed to examine how factors relating to the impact of the pandemic associate with eating disorders and quantify this relationship while adjusting for concurrent and longitudinal parameters of risk. METHODS: We gathered demographic, behavioral and clinical data pre- and mid-pandemic as well as childhood trauma history from a longitudinal online survey of 489 adults (mean age 23.4 years) recruited from the Neuroscience in Psychiatry Network (NSPN). Using pre-pandemic (T1) and concurrent (T2) data we aimed to predict eating disorders at mid-pandemic (T2). We deployed hierarchical generalized logistic regression to ascertain the strength of longitudinal and concurrent associations. RESULTS: Pre-pandemic eating disorder scores strongly associated with concurrent eating disorder (z = 5.93). More conflict at home mid-pandemic (z = 2.03), pre- (lower sensation seeking z = -2.58) and mid-pandemic (higher lack of perseverance z = 2.33) impulsivity traits also associated with mid-pandemic eating disorder. CONCLUSION: Conflict at home mid-pandemic and specific aspects of impulsiveness significantly associated with concurrent eating disorder when adjusted for pre-pandemic eating disorder symptoms, baseline demographics, behavioral traits, history of traumatic experiences and concurrent psychopathology. These results provide insight into the struggles of those suffering with eating disorders during the COVID-19 pandemic and highlight the importance of impulsiveness traits and the immediate family environment in their experience of illness during the pandemic.

Autism and education-international policy in small EU states: policy mapping in Malta, Cyprus, Luxembourg and Slovenia.

BACKGROUND: Special education provides an array of support that can advantageously meet special education needs (SEN) of children with autism. This report maps autism and SEN policies, and tension of international legislation in Malta, Cyprus, Luxembourg and Slovenia. METHODS: A policy path analysis was performed using a scoping review as fundamental methodological framework. RESULTS: Education for children with SEN developed from limited education towards segregation, and further to integration, and inclusion in mainstream education. International policy has greatly influenced the education systems under study. The rights to education and to have SEN addressed have been adopted in all countries. Inclusion is seen to be gradually incorporated by Malta, Cyprus and Luxembourg-closely following values of international documents through concise SEN policies. Slovenia's education system remains segregated, indicating potential tension. CONCLUSIONS: It appears that mainstream schools offer SEN services until no longer feasible for the child in the majority of investigated countries. Inclusion has become a guiding principle for most education systems under study. Finally, small states either commit to the implementation of inclusion or delay it and attempt to improve the education system for children with SEN in different ways.

Demographic, socioeconomic, and health correlates of unmet need for mental health treatment in the United States, 2002-16: evidence from the national surveys on drug use and health.

BACKGROUND: Unmet need for mental health services remains high in the United States and is disproportionately concentrated in some groups. The scale and nature of these disparities have not been fully elucidated and bear further scrutiny. As such, in this study, we examine the demographic, socioeconomic, and health correlates of unmet need for mental health treatment as well as the reasons for unmet need. METHODS: We draw upon the National Survey for Drug Use and Health (NSDUH) from 2002 to 16 for adults aged 18 and over in the United States (n = 579,017). Using multivariable logistic regression, we simultaneously model the demographic, socioeconomic, and health correlates of unmet need for mental health treatment from 2002 to 16. We also analyse the reasons for unmet need expressed by these populations, reasons which include cost, perceived stigma, minimisation of symptoms, low perceived effectiveness of treatment, and structural barriers. RESULTS: Major characteristics associated with increased odds of unmet need include past year substance abuse or dependence (other than hallucinogens and sedatives), fair, poor, or very poor health, being female, and an educational attainment of college or higher. With respect to reasons for unmet need, cost was most often cited, followed by perceived stigma, structural barriers, and minimisation. Characteristics associated with increased odds of indicating cost as a reason for unmet need include: being uninsured or aged 26-35. Minimisation and low perceived effectiveness are mentioned by high-income persons as reasons for unmet need. College-educated persons and women had higher odds of citing structural barriers as a reason for unmet need. CONCLUSIONS: The correlates and causes of unmet need highlight the intersectionality of individual health needs with implications on addressing inequities in mental health policy and practice.

Private health insurance in Germany and Chile: two stories of co-existence, segmentation and conflict.

BACKGROUND: In Germany and Chile, substitutive private health insurance has been shaped by its co-existence with statutory social health insurance. Despite differences in the way choice is available to users in the health insurance regimes of Chile and Germany, the way in which each country has managed choice between private health insurance and statutory social health insurance provides a unique opportunity to comparatively assess the consequences of such an arrangement that has been previously underexamined. METHODS: We conducted a Most Similar Systems Design comparative policy analysis of the co-occurring private health insurance and statutory social health insurance systems in Germany and Chile. We describe and review the origins and development of the German and Chilean health care insurance systems with an emphasis on the substitutive co-existence between private health insurance and statutory social health insurance. We provide a critique of the market performance of the private health insurance regime in each country followed by a comparative assessment of the impact of private health insurance on financial protection, equity, and risk segmentation. RESULTS: Segmentation of insurance markets in both Germany and Chile has had significant consequences for equity, fairness, and financial protection. Due to market failures in health insurance and differences in the regulatory frameworks governing public and private insurers, the choice of public or private coverage has produced strong incentives for private insurers to select for risks, compromising equity in health care funding, heightening the financial risk borne by public insurers and lowering incentives for private insurers to operate efficiently. CONCLUSIONS: The degree of conflict arising from the substitutive parallel private health insurance system and the statutory social health insurance system varies between Germany and Chile, though policy goals remain similar. Recent reforms in both countries have attempted to improve the financial protection of the privately insured through regulation; nevertheless, concerns about risk segmentation remain largely unresolved.

Changing trends in the use of kratom (Mitragyna speciosa) in Southeast Asia.

OBJECTIVE: Kratom (Mitragyna speciosa. Korth) is an indigenous medicinal plant of Southeast Asia. This review paper aims to describe the trends of kratom use in Southeast Asia. DESIGN: A literature review search was conducted through ScienceDirect, Scopus, ProMed and Google Scholar. Twenty-five articles illustrating kratom use in humans in Southeast Asia were reviewed. RESULTS: Kratom has long been used by rural populations in Southeast Asia as a remedy for common ailments, to fight fatigue from hard manual work, as a drink during social interaction among men, and in village religious functions. Studies based on self-reports suggest that prolonged kratom use does not result in serious health risks or impair social functioning. Two recent trends have also emerged: (a) Kratom is reportedly being used to ease withdrawal from opioid dependence in rural settings; whereas (b) in urban areas, adulterated kratom cocktails are being consumed by younger people to induce euphoria. CONCLUSIONS: Legal sanctions appear to have preceded serious scientific investigations into the claimed benefits of ketum. More objective-controlled trials and experiments on humans need to be conducted to validate self-report claims by kratom users in the community.

The use of supplements and performance and image enhancing drugs in fitness settings: A exploratory cross-sectional investigation in the United Kingdom.

OBJECTIVE: The strive for perfection is prevalent in the fitness industry. This study aimed to explore the use of products to enhance performance alongside exposure to exercise addiction, appearance anxiety and self-esteem in fitness settings. METHODS: An online survey was prepared and piloted before wider dissemination in fitness clubs via snowballing and selected mailing lists. A list of commonly used products, including Performance and Image Enhancing Drugs (PIEDs) was provided. Exercise addiction (Exercise Addiction Inventory; EAI), anxiety levels (Appearance Anxiety Inventory; AAI) and their self-esteem (Rosenberg's Self-Esteem Scale; RSE) were also measured. RESULTS: 377 questionnaires were completed. A significant number of participants declared the use products either to lose weight (16%) or to reach their fitness goals (41%). The Internet played a major role in both the supply of information and the provision of the enhancement products (33.7%) and side effects were reported (10.5%). Only a limited number of participants sought a medical opinion about taking products (5.1%). EAI scores were high (m=20.02 ± 4.1), AAI (m=15.98 ± 4.8) showed an intermediate level of anxiety, while self-esteem was low (RSE m=12.59 ± 2.2). CONCLUSION: This pilot study identified the emergence of a new drug trend in fitness settings and showed a potential relationship to exercise addiction, anxiety disorders and low self-esteem. The Internet played a crucial role in disseminating often untested products, including PIEDs without medical supervision and unwanted side-effects were reported. More studies in the field are required in order to safeguard public health and inform policy making.

Hair analysis for the detection of drug use-is there potential for evasion?

BACKGROUND: Hair analysis for illicit substances is widely used to detect chronic drug consumption or abstention from drugs. Testees are increasingly seeking ways to avoid detection by using a variety of untested adulterant products (e.g., shampoos, cleansers) widely sold online. This study aims to investigate adulteration of hair samples and to assess effectiveness of such methods. METHODS: The literature on hair test evasion was searched for on PubMed or MEDLINE, Psycinfo, and Google Scholar. Given the sparse nature of peer-reviewed data on this subject, results were integrated with a qualitative assessment of online sources, including user-orientated information or commercial websites, drug fora and "chat rooms". Over four million web sources were identified in a Google search by using "beat hair drug test" and the first 86 were monitored on regular basis and considered for further analysis. RESULTS: Attempts to influence hair test results are widespread. Various "shampoos," and "cleansers" among other products, were found for sale, which claim to remove analytes. Often advertised with aggressive marketing strategies, which include discounts, testimonials, and unsupported claims of efficacy. However, these products may pose serious health hazards and are also potentially toxic. In addition, many anecdotal reports suggest that Novel Psychoactive Substances are also consumed as an evasion technique, as these are not easily detectable via standard drug test. Recent changes on Novel Psychoactive Substances legislations such as New Psychoactive Bill in the UK might further challenge the testing process. CONCLUSION: Further research is needed by way of chemical analysis and trial of the adulterant products sold online and their effects as well as the development of more sophisticated hair testing techniques.

Captagon: use and trade in the Middle East.

BACKGROUND: Fenetheylline, a psychostimulant drug, often branded as Captagon, is a combination of amphetamine and theophylline. Since the cessation of its legal production in 1986, counterfeited products have been produced illicitly in south-east Europe and far-east Asia. Its profitable trade has been linked to terrorist organizations, including Islamic State of Iraq and the Levant. This study aims to reach up-to-date data, concerning the Captagon e-commerce and use in the Middle East. METHODS: A multi-staged and multi-lingual literature search was carried out. A list of prespecified keywords was applied across medical and paramedical databases, web and Dark web, search engines, social communication media, electronic commerce websites, media networks, and the Global Public Health Intelligence Network database. RESULTS: The use of Captagon as a stimulant in terrorist settings has been marginally covered in the literature. Data can widely be retrieved from Google and AOL search engines, YouTube, and Amazon e-commerce websites, and to a lesser extent from Alibaba and eBay. On the contrary, Middle Eastern e-commerce websites yielded almost no results. Interestingly, the Dark web generated original data for Captagon e-commerce in the Middle East. CONCLUSION: Further investigations are needed on the role that psychoactive drugs play in terrorist attacks and civil war zones. Unless a comprehensive methodological strategy, inclusive of unconventional methods of research, is implemented, it will not be feasible to face such a threat to humanity.

Brain structural deficits and working memory fMRI dysfunction in young adults who were diagnosed with ADHD in adolescence.

When adolescents with ADHD enter adulthood, some no longer meet disorder diagnostic criteria but it is unknown if biological and cognitive abnorma lities persist. We tested the hypothesis that people diagnosed with ADHD during adolescence present residual brain abnormalities both in brain structure and in working memory brain function. 83 young adults (aged 20-24 years) from the Northern Finland 1986 Birth Cohort were classified as diagnosed with ADHD in adolescence (adolescence ADHD, n = 49) or a control group (n = 34). Only one patient had received medication for ADHD. T1-weighted brain scans were acquired and processed in a voxel-based analysis using permutation-based statistics. A sub-sample of both groups (ADHD, n = 21; controls n = 23) also performed a Sternberg working memory task whilst acquiring fMRI data. Areas of structural difference were used as a region of interest to evaluate the implications that structural abnormalities found in the ADHD group might have on working memory function. There was lower grey matter volume bilaterally in adolescence ADHD participants in the caudate (p < 0.05 FWE corrected across the whole brain) at age 20-24. Working memory was poorer in adolescence ADHD participants, with associated failure to show normal load-dependent caudate activation. Young adults diagnosed with ADHD in adolescence have structural and functional deficits in the caudate associated with abnormal working memory function. These findings are not secondary to stimulant treatment, and emphasise the importance of taking a wider perspective on ADHD outcomes than simply whether or not a particular patient meets diagnostic criteria at any given point in time.

Testing an online screening for autism in the COVID-19 pandemic: a psychometric study of the Q-CHAT-24 in Chilean toddlers.

Background: The aim of this study was to examine some psychometric characteristics of the Chilean-adapted version of the Quantitative Checklist for Autism in Toddlers (Q-CHAT-24) (24) in a group of unselected children (community sample). This version was administered remotely through an online version during the pandemic period to caregivers of children, aged 18-24 months, registered in four primary care polyclinics of the Health Service Araucanía Sur, Chile. Methods: An intentional non-probabilistic sampling was used. Three hundred and thirteen toddlers were examined. Participants completed an online version of the Q-CHAT-24 which was disseminated through the REDCap platform. Evidence of reliability through internal consistency and evidence of predictive validity through ROC curve analysis were realized. Results: The mean age of the children evaluated was 21.16 months. The Shapiro-Wilk test revealed that Q-CHAT-24 scores was normally distributed. 71 cases (23.12%) scored 38 points or more on the Q-CHAT-24, qualifying as Autistic Risk. 48 cases (15.63%) were confirmed as autistic through the ADOS-2 Module T. All items were positively correlated with Q-CHAT-24 total score. All items were positively correlated with Q-CHAT-24 total score. Internal consistency was acceptable for the Q-CHAT-24 (Cronbach ´s α=0.78). The internal consistencies were analyzed for the Q-CHAT-24 Factors, and they were good for factor 1 "Communication and Social Interaction" (Cronbach ´s α=0.85) and acceptable for factor 2 "Restrictive and Repetitive Patterns" (Cronbach ´s α=0.74). Receiver operating characteristic (ROC) curve analyses were performed. The AUC values were 0.93 with statistical significance (p<0.01). For the cut-off point of 38, the Sensitivity, Specificity and Youden index values were 0.89, 0.8 and 0.7, respectively. The Positive Predictive Value (PPV) was 86% and the Negative Predictive Value (NPV) was 85%. Conclusions: In accordance with the objectives of this study, evidence of reliability and predictive validity was demonstrated for the Q-CHAT-24 in this Chilean population. More importantly, this study provides Sensitivity and Specificity data for a remote application version of an autism screening tool already validated in Chile. The implications of this have to do with the possibility of establishing a remote assessment system for children at risk of autism on a population scale.

Understanding predictors of mental health and substance use treatment utilization among US adults: A repeated cross-sectional study.

Background: Understanding discrepancies in mental health and substance use treatment utilization can help identify inequities in access to health services. We investigate mental health and substance use treatment utilization as function of demographic and social determinants, as well as pre-existing mental health and substance use disorders. Methods: In this repeated cross-sectional study, we used the 2017-2019 National Survey on Drug Use and Health data on US adults above age 18. Two logistic regression models were conducted, using predictors of age, gender, race/Hispanicity, sexual identity, education, insurance, family income, and past year mental health and substance use disorders, with outcomes of mental health or substance use treatment utilization. Weighted estimates of substance use disorders and insurance types and Pearson's correlation tests of vulnerability among age, gender, and treatment type were reported. Findings: Racial minorities, uninsured populations, sexual minorities, and females had lower odds of receiving mental health treatment, while older populations, lower income groups, and dual eligible enrollees had higher odds. Individuals with substance use disorders but no mental illness had higher odds of receiving mental health treatment. Those utilizing mental health treatment were mostly of high income, privately insured, and using cannabis, cocaine, and opioids. Older populations, men, and Medicaid only enrollees had higher odds of receiving substance use disorder treatment, whereas racial minorities had lower odds. Distribution of income, insurance type, and substance use were more widespread than mental health treatment. Interpretation: Mental health treatment can be used as an avenue for substance use treatment, particularly opioid use disorders. It is important to target vulnerable populations, like racial minorities and uninsured populations to improve access to mental health and substance use treatment.

The Evolution of Telepsychiatry for Substance Use Disorders During COVID-19: a Narrative Review.

Purpose of Review: This article aims to review and synthesize the current research evidence regarding the efficacy of telepsychiatry-delivered substance use disorder treatment using a narrative review with a focus on the effects of remote healthcare delivery within the substance abuse treatment space. Recent Findings: The COVID-19 pandemic exerted substantial pressures on all levels of society. Social isolation, loss of employment, stress, physical illness, overburdened health services, unmet medical needs, and rapidly changing pandemic restrictions had particularly severe consequences for people with mental health issues and substance use disorders. Since the start of the pandemic, addiction treatment (and medical treatment overall) using remote health platforms has significantly expanded to different platforms and delivery systems. The USA, in particular, reported transformational policy developments to enable the delivery of telehealth during the COVID-19 pandemic. However, systemic barriers such as a widespread lack of internet access and insufficient patient and provider digital skills remain. Summary: Overall, telepsychiatry is a promising approach for the treatment of substance use disorders, but more randomized controlled trials are needed in the future to assess the evidence base of available interventions.

Profiling the vendors of COVID-19 related product on the Darknet: An observational study.

Background: In a time of unprecedented global change, the COVID-19 pandemic has led to a surge in demand of COVID-19 vaccines and related certifications. Mainly due to supply shortages, counterfeit vaccines, fake documentation, and alleged cures to illegal portfolios, have been offered on darkweb marketplaces (DWMs) with important public health consequences. We aimed to profile key DWMs and vendors by presenting some in-depth case studies. Methods: A non-systematic search for COVID-19 products was performed across 118 DWMs. Levels of activity, credibility, content, COVID-19 product listings, privacy protocols were among the features retrieved. Open web fora and other open web sources were also considered for further analysis of both functional and non functional DWMs. Collected data refers to the period between January 2020 and October 2021. Results: A total of 42 relevant listings sold by 24 vendors across eight DWMs were identified. Four of these markets were active and well-established at the time of the study with good levels of credibility. COVID-19 products were listed alongside other marketplace content. Vendors had a trusted profile, communicated in English language and accepted payments in cryptocurrencies (Monero or Bitcoin). Their geographical location included the USA, Asia and Europe. While COVID-19 related goods were mostly available for regional supply, other listings were also shipped worldwide. Interpretation: Findings emerging from this study rise important questions about the health safety of certain DWMs activities and encourage the development of targeted interventions to overcome such new and rapidly expanding public health threats. Funding: CovSaf, National Research centre on Privacy, Harm Reduction and Adversarial Influence Online (REPHRAIN), Commonwealth Fund.

Hepatitis C antibody prevalence and active hepatitis C infection in HIV-negative gay, bisexual, and other men who have sex with men in Barcelona and Madrid, Spain (March 2018-March 2021).

Objectives: Hepatitis C virus (HCV) has been recognized as a sexually transmitted infection (STI) in HIV-positive men who have sex with men (MSM), with an increased notification in HIV-negative MSM. The aim of this study was to determine the prevalence of HCV antibody and active HCV infection in HIV-negative gay, bisexual, and other MSM (GBMSM), and their characteristics, in Barcelona and Madrid, from March 2018 to March 2021. Methods: Cross-sectional study conducted on 3548 HIV-undiagnosed GBMSM, across four HIV/STI testing centers. Respondents submitted an online, self-administered questionnaire after consultation, which collected information on sociodemographics, sexual health history, HCV knowledge, and substance consumption. Prevalence of HCV antibodies was determined by a reactive result in a rapid anti-HCV test or enzyme-linked immunosorbent assay (ELISA), while active HCV infection was determined by participants who were also positive on an HCV-RNA test. Crude and adjusted Poisson analyses with robust variance are presented for both prevalence and active infection. Results: In total, 97.6% of participants (n = 3463) were HIV-negative. Of those, 18 were found to have HCV antibodies (0.52%), of which nine (0.26%) were also HCV-RNA positive. Those with HCV antibodies were associated to have lived with an HCV (+) person (adjusted prevalence ratio [APR]: 7.84, [95% confidence interval: 2.50-24.53]), using injectable drugs for sex (APR: 6.92, [1.20-39.79]) and testing positive for an STI in the previous year (APR: 4.06, [1.09-15.12]). Presenting an active infection was strongly associated with a previous HCV diagnosis (APR: 100.82 [22.16-458.76]), sexualized injectable drug use (APR: 17.53 [2.70-113.76]), and sharing douching material (APR: 7.45, [2.12-25.95]). Conclusion: Sexual practices with a higher risk of bleeding and sexualized drug use, particularly sexualized injectable drug use, were associated with higher rates of HCV diagnosis in GBMSM. Identifying these practices during consultation, contact tracing new cases and regularly testing those with a previous history of HCV, will facilitate HCV eradication.

Wealth Inequality and Intimate Partner Violence: An Individual and Ecological Level Analysis Across 20 Countries.

Intimate Partner Violence (IPV) has been linked to poor health. Economic position may be an important risk factor for IPV. We examined the association between economic position and IPV at country and individual levels. We analyzed Demographic and Health Surveys data of 187,716 ever-partnered women between ages 10 and 59 from 20 low- and middle-income countries. We calculated direct age-standardized 12-month prevalence of physical IPV and performed ecological analysis using Gini coefficients and Concentration indexes to assess correlation with 12-month prevalence of physical IPV. We conducted multivariable logistic regression for each country to assess the association between wealth status and physical IPV and a meta-analysis of the regression model to present results across countries. Compared to the Poorest quintile, odds of IPV among wealthier quintiles varied by country. In the Middle quintile, India had significantly reduced IPV (OR 0.75, 95%CI: 0.68-0.83). In the Richer and Richest quintiles, 4 and 6 countries had significant reductions in IPV, respectively. Only Mozambique was found to have significant increased IPV in the wealthiest quintile (OR 2.51, 95%CI: 1.45-4.38). Gini coefficient and physical IPV had a correlation coefficient of 0.502 (p value 0.033), while Concentration index had -0.276 (p value .253). Standardized prevalence for physical IPV ranged from 1.58% to 18.91%. Findings suggest that the relationship between wealth and IPV vary considerably in the included low- and middle-income countries, and that risk of IPV may not necessarily be higher among women in lower wealth brackets. Mozambique was the only country with increased odds of IPV among the Richest group as compared to the Poorest group. This study provides evidence IPV may transcend economic boundaries, and that studies looking at the link between inequality and IPV are paramount for designing adequate preventative policies.

A Scoping Review of Approaches to Improving Quality of Data Relating to Health Inequalities.

Identifying and monitoring of health inequalities requires good-quality data. The aim of this work is to systematically review the evidence base on approaches taken within the healthcare context to improve the quality of data for the identification and monitoring of health inequalities and describe the evidence base on the effectiveness of such approaches or recommendations. Peer-reviewed scientific journal publications, as well as grey literature, were included in this review if they described approaches and/or made recommendations to improve data quality relating to the identification and monitoring of health inequalities. A thematic analysis was undertaken of included papers to identify themes, and a narrative synthesis approach was used to summarise findings. Fifty-seven papers were included describing a variety of approaches. These approaches were grouped under four themes: policy and legislation, wider actions that enable implementation of policies, data collection instruments and systems, and methodological approaches. Our findings indicate that a variety of mechanisms can be used to improve the quality of data on health inequalities at different stages (prior to, during, and after data collection). These findings can inform us of actions that can be taken by those working in local health and care services on approaches to improving the quality of data on health inequalities.

Autism incidence and spatial analysis in more than 7 million pupils in English schools: a retrospective, longitudinal, school registry study.

BACKGROUND: Understanding how certain factors affect autism incidence can help to identify inequities in diagnostic access. We aimed to investigate the incidence of autism in England as a function of geography and sociodemographics, examining spatial distribution across health service boundaries. METHODS: In this retrospective, longitudinal, school registry study, we sourced data for the years 2014-17 from the summer school census, which is a component of the National Pupil Database, a government registry of pupils under state education in England. Our main outcome was the incidence of autism in the English state-funded education system, defined by the amount of new autism-specific Education, Health and Care Plans or autism-specific special education needs and disability support recorded during each summer school census year since the 2014 baseline. After excluding prevalent cases in 2014, we calculated unadjusted incidence and age-adjusted, sex-adjusted incidence per 100 000 person-years per subsequent school year and by various sociodemographic categories and local authority districts. We report spatial effects using local indicators of spatial association. We used a three-level mixed-effects logistic regression model with two random intercepts (lower-layer super output area [a geographical area in England containing 1000-3000 residents] and pupil identifier) to calculate odds ratios (ORs) for autism incidence, adjusting for age, sex, ethnicity, claimed eligibility for free school meals, ethnic density quintile, Index of Multiple Deprivation quintile, first language spoken at home, and year, with our reference category being White girls without claimed eligibility for free school meals who speak English as their first language. FINDINGS: Between 2014 and 2017, our total sample included 31 580 512 person-years and 102 338 newly diagnosed autistic pupils, corresponding to an unadjusted annual autism incidence of 429·1 cases per 100 000 person-years (95% CI 426·4-431·7) and an age-adjusted, sex-adjusted annual incidence of 426·9 cases per 100 000 person-years (423·5-430·4). The adjusted incidence of autism was slightly higher in 2014-15 than in 2015-16 or 2016-17, and, of the age groups, pupils aged 1-3 years, 4-6 years, and 10-12 years had the highest incidence of autism. Adjusted autism incidence in boys was 3·9-times the incidence in girls (668·6 cases per 100 000 person-years [95% CI 662·5-674·6] vs 173·2 cases per 100 000 person-years [170·1-176·3]). Across ethnic groups, adjusted incidence was highest in pupils who had an unclassified ethnicity (599·4 cases per 100 000 person-years [574·5-624·3]) or were Black (466·9 cases per 100 000 person-years [450·8-483·0]). However, in our fully adjusted mixed-effects logistic regression model, we observed lower odds of autism among Asian (OR 0·65 [0·59-0·71]), Black (0·84 [0·77-0·92]), and Chinese (0·62 [0·42-0·92]) girls compared with White girls when these groups had not claimed free school meals and spoke English as a first language. Boys from all ethnicities irrespective of first language spoken and free school meals status had increased odds of autism compared with White girls with no claimed eligibility for free school meals who spoke English as their first language. We also found that claimed free school meal eligibility, first language spoken, sex, and ethnicity differentially impacted the odds of autism. Our spatial analysis showed significant spatial autocorrelation across lower-layer super output areas in England, with 2338 hotspots (high-incidence areas surrounded by other high-incidence areas). INTERPRETATION: The incidence of autism varies across sex, age, ethnicity, and geographical location. Environmental and social factors might interact with autism aetiology. Speaking a language other than English and economic hardship might increase access barriers to autism diagnostic services, autism-specific Education, Health and Care Plans, and school-level support. FUNDING: The Commonwealth Fund, the Institute for Data Valorization, the Fonds de recherche du Québec-Santé, Calcul Quebec, the Digital Research Alliance of Canada, the Wellcome Trust, the Innovative Medicines Initiative, the Autism Centre of Excellence, the Simons Foundation Autism Research Initiative, the Templeton World Charitable Fund, the Medical Research Council, the National Institute for Health and Care Research Cambridge Biomedical Research Centre, and the National Institute for Health and Care Research Applied Research Collaboration East of England-Population Evidence and Data Science.

The impact of community health workers on antenatal and infant health in India: A cross-sectional study.

BACKGROUND: Community health workers (CHWs) are central to India's strategy for reaching the Sustainable Development Goals around maternal and child health. Despite India's significant investment in these programs, few studies have analyzed the effect of CHWs across India. OBJECTIVE: This study aims to analyze multiple types of CHWs and their impact on a broad range of antenatal and infant health outcomes across India. METHODS: In this population-based cross-sectional study, we analyzed data of women interviewed by the most recent 2015-2016 National Family Health Survey-4 (NFHS-4) in India. This study performed multiple variable regressions to examine the effect of receiving ANC during pregnancy from 1) any CHW and 2) by specific type of CHW - Accredited Social Health Activist (ASHA), Anganwadi Worker (AWW), and Community/Village Health Worker (defined in Table 1) on antenatal and infant health outcomes. RESULTS: Of 166,498 women, 14.2% received ANC from any CHW with specifically 5.9% receiving from ASHAs, 10.2% receiving from AWWs, and 0.5% receiving from Community/Village Health Workers. Women who received ANC from an ASHA had increased ANC utilization (OR 1.77; 95% CI 1.65, 1.91) as well as quality (IRR 1.06; 95% CI 1.05, 1.08), increased early initiation of breast feeding (OR 1.20; 95% CI 1.12, 1.29), and decreased one-year mortality (OR 0.75; 95% CI 0.63, 0.88). Women who received ANC from an AWW had increased ANC utilization (OR 2.24; 95% CI 2.12, 2.37) as well as quality (IRR 1.07, 95% CI 1.06, 1.08) and increased early initiation of breast feeding (OR 1.30; 95% CI 1.26, 1.40). CONCLUSION: Receiving ANC from ASHAs and AWWs is associated with improved ANC utilization, ANC quality, early initiation of breastfeeding and the key outcome of reduced infant mortality.