Collection Of Population-based Data Research Articles

BELCOHORT: towards a population-based cohort for health research and policy support in Belgium

Abstract Background In the past decades much progress has been made in Belgium in the development and valorisation of population-based data collections which are directly or indirectly related to health. New surveys have been set up and the use of medico-administrative and environmental data for public health research gained momentum. However, no infrastructure is currently in place to link survey data with existing sources in a longitudinal perspective to address research questions directly relevant to health policy. BELCOHORT is a three-year pilot project aimed at developing a population based cohort enriched with these different data sources. The project is considered as a step towards a large population cohort in Belgium. Methods A first wave of participant recruitment was organized in February 2024 using the Belgian national register as a sampling frame, and 41,153 households were invited (targeted sample of 5000 individuals aged 18-69). A first baseline survey (online and paper) was organized and an annual follow-up is planned. Linkages procedures will be implemented with administrative data and geospatial data on air pollution and green space. The inclusion of data from physical examinations and biological samples will be explored. Results In the first recruitment wave the individual response rate was only 2.5%, leading to a sample of 1,947 participants. The sample showed an under-representation of women (45%), people aged 18-24 years (2%) and low educated people (21%). In total, 23% of participants opted to complete the first baseline questionnaire on paper. Stakeholder meetings have been started to implement the individual and geospatial linkages. Conclusions This project generate insights that will assist in methodological choices in the development of a large population cohort in Belgium. In the second recruitment lessons learned from the first data collection will be used to improve the response rate as well as the participation of under-represented groups. Key messages • This study provides insights on how existing population-based data collections including administrative and environmental data can be valorized in setting up a population cohort. • Recruitment strategies for a population cohort should be tested thoroughly and adapted in order to obtain a well-balanced sample composition.

Risk of Developing Multimorbidity among Previously Healthy Immigrants and Long-term Ontario Residents

Background Multimorbidity is an important health issue associated with a greater risk of adverse health outcomes, more frequent hospitalizations, greater healthcare needs, and premature death. This study examined patterns of and the risk of developing multimorbidity between immigrants and long-term residents of Ontario. Methods We used a 1:1 matched retrospective observational open cohort design from 1995 to 2016, using routinely collected population-based administrative data at ICES. Multimorbidity was defined as two or more and three or more co-occurring chronic conditions. Chronic disease frequencies of dyads and triads were examined. Stratified multivariate Cox Proportional Hazard models examined the risk of developing multimorbidity and further by world regions of origin for immigrants compared to long-term residents. Results Hypertension and diabetes, in combination with chronic obstructive pulmonary disease, were the leading multimorbidity dyad and triad groups. After controlling for age, sex, and neighborhood income quintiles, immigrants from the Caribbean and South Asia had a greater risk of developing 2+ multimorbidity, compared to long-term residents. Refugees from North Africa and the Middle East (HR = 1.22 [95% CI: 1.03-1.42]) as well as refugees (HR = 1.78 [95% CI: 1.59 – 1.98]) and family immigrants from South Asia (HR: 1.08 [95% CI: 1.02-1.14]), had a higher risk of 3+ multimorbidity compared to long-term residents of Ontario. Conclusion These findings highlight the importance of routine population-based data collection on immigration status and world regions of origin to inform public health research. Investments in preventive health services and management of multimorbidity are needed for specific population groups.

Associations between health literacy proficiencies and health-related quality of life and GP visits among young people in Norway: a population-based cross-sectional study.

Despite globally increased attention from policymakers and being recognised as a critical determinant of health, health literacy (HL) research in young people (YP) remains limited. This study aims to describe HL in YP across person factors and explore the associations between HL and health-related quality of life (HRQoL) and the number of visits to general practitioners (GP visits). Cross-sectional study. Population-based data collection applying country representative strata in Norway. 890 participants aged 16-25 years. Rasch modelling and Wright's method were used to identify statistically distinct levels of HL proficiency. Multiple linear regression and negative binomial regression models were applied to explore the associations between HL and HRQoL, and between HL and GP visits, respectively. Among YP, HL was statistically significantly associated with HRQoL and the number of GP visits, when adjusting for age, gender, education, self-perceived social status and financial deprivation. For every logit increase in HL, the number of GP visits decreased by 22%. Four statistically distinct levels of HL proficiency were identified for the 12-item HLS19-YP12 scale, started from a cut-point of 23, 30, 37 and 44 out of 48. Relatedly, 70% of respondents were observed at or below level 2 (30-36 points), indicating a varying lack of central skills. The span from lowest (1) to highest (4) HL level was associated with a decrease of 2.1 GP visits per year and an increase of .12 on the EQ-5D index. This study provides new empirical insights into the impact of HL in YP. Identified cut-points for the HLS19-YP12 may contribute to simplifying the process of adapting information and communication for various HL skills. The study also suggests the need for more efforts in HL policy and structural intervention development to enhance YP health and well-being.

Leveraging Routinely Collected Program Data to Inform Extrapolated Size Estimates for Key Populations in Namibia: Small Area Estimation Study.

Estimating the size of key populations, including female sex workers (FSW) and men who have sex with men (MSM), can inform planning and resource allocation for HIV programs at local and national levels. In geographic areas where direct population size estimates (PSEs) for key populations have not been collected, small area estimation (SAE) can help fill in gaps using supplemental data sources known as auxiliary data. However, routinely collected program data have not historically been used as auxiliary data to generate subnational estimates for key populations, including in Namibia. To systematically generate regional size estimates for FSW and MSM in Namibia, we used a consensus-informed estimation approach with local stakeholders that included the integration of routinely collected HIV program data provided by key populations' HIV service providers. We used quarterly program data reported by key population implementing partners, including counts of the number of individuals accessing HIV services over time, to weight existing PSEs collected through bio-behavioral surveys using a Bayesian triangulation approach. SAEs were generated through simple imputation, stratified imputation, and multivariable Poisson regression models. We selected final estimates using an iterative qualitative ranking process with local key population implementing partners. Extrapolated national estimates for FSW ranged from 4777 to 13,148 across Namibia, comprising 1.5% to 3.6% of female individuals aged between 15 and 49 years. For MSM, estimates ranged from 4611 to 10,171, comprising 0.7% to 1.5% of male individuals aged between 15 and 49 years. After the inclusion of program data as priors, the estimated proportion of FSW derived from simple imputation increased from 1.9% to 2.8%, and the proportion of MSM decreased from 1.5% to 0.75%. When stratified imputation was implemented using HIV prevalence to inform strata, the inclusion of program data increased the proportion of FSW from 2.6% to 4.0% in regions with high prevalence and decreased the proportion from 1.4% to 1.2% in regions with low prevalence. When population density was used to inform strata, the inclusion of program data also increased the proportion of FSW in high-density regions (from 1.1% to 3.4%) and decreased the proportion of MSM in all regions. Using SAE approaches, we combined epidemiologic and program data to generate subnational size estimates for key populations in Namibia. Overall, estimates were highly sensitive to the inclusion of program data. Program data represent a supplemental source of information that can be used to align PSEs with real-world HIV programs, particularly in regions where population-based data collection methods are challenging to implement. Future work is needed to determine how best to include and validate program data in target settings and in key population size estimation studies, ultimately bridging research with practice to support a more comprehensive HIV response.

COVID-19 diagnostic testing and vaccinations among First Nations in Manitoba: A nations-based retrospective cohort study using linked administrative data, 2020-2021.

Differential access to healthcare has contributed to a higher burden of illness and mortality among First Nations compared to other people in Canada. Throughout the Coronavirus Disease 2019 (COVID-19) pandemic, First Nations organizations in Manitoba partnered with public health and Manitoba government officials to ensure First Nations had early, equitable and culturally safe access to COVID-19 diagnostic testing and vaccination. In this study, we examined whether prioritizing First Nations for vaccination was associated with faster uptake of COVID-19 vaccines among First Nations versus All Other Manitobans (AOM). In this retrospective cohort study, we used linked, whole-population administrative data from the Manitoba healthcare system (February 2020 to December 2021) to determine rates of COVID-19 diagnostic testing, infection, and vaccination, and used adjusted restricted mean survival time (RMST) models to test whether First Nations received their first and second vaccine doses more quickly than other Manitobans. The cohort comprised 114,816 First Nations (50.6% female) and 1,262,760 AOM (50.1% female). First Nations were younger (72.3% were age 0 to 39 years) compared to AOM (51% were age 0 to 39 years) and were overrepresented in the lowest 2 income quintiles (81.6% versus 35.6% for AOM). The 2 groups had a similar burden of comorbidities (65.8% of First Nations had none and 6.3% had 3 or more; 65.9% of AOM had none and 6.0% had 3 or more) and existing mental disorders (36.9% of First Nations were diagnosed with a mood/anxiety disorder, psychosis, personality disorder, or substance use disorder versus 35.2% of AOM). First Nations had crude infection rates of up to 17.20 (95% CI 17.15 to 17.24) COVID-19 infections/1,000 person-months compared with up to 6.24 (95% CI 6.16 to 6.32) infections/1,000 person-months among AOM. First Nations had crude diagnostic testing rates of up to 103.19 (95% CI 103.06 to 103.32) diagnostic COVID-19 tests/1,000 person-months compared with up to 61.52 (95% CI 61.47 to 61.57) tests/1,000 person-months among AOM. Prioritizing First Nations to receive vaccines was associated with faster vaccine uptake among First Nations versus other Manitobans. After adjusting for age, sex, income, region of residence, mental health conditions, and comorbidities, we found that First Nations residents received their first vaccine dose an average of 15.5 (95% CI 14.9 to 16.0) days sooner and their second dose 13.9 (95% CI 13.3 to 14.5) days sooner than other Manitobans in the same age group. The study was limited by the discontinuation of population-based COVID-19 testing and data collection in December 2021. As well, it would have been valuable to have contextual data on potential barriers to COVID-19 testing or vaccination, including, for example, information on social and structural barriers faced by Indigenous and other racialized people, or the distrust Indigenous people may have in governments due to historical harms. In this study, we observed that the partnered COVID-19 response between First Nations and the Manitoba government, which oversaw creation and enactment of policies prioritizing First Nations for vaccines, was associated with vaccine acceptance and quick uptake among First Nations. This approach may serve as a useful framework for future public health efforts in Manitoba and other jurisdictions across Canada.

Understanding community perception and acceptability of interactive voice response survey method: findings from formative research in Bangladesh.

Abstract Mobile phone technology’s expansion in Bangladesh has ushered in its use for rapid population-based data collection. This study was conducted to assess community perceptions on the acceptability, usability and challenges of participating in mobile phone surveys (MPS) on non-communicable disease risk factors through interactive voice response (IVR) in Bangladesh. Three user groups and seven focus group discussions with different communities, along with seven key informant interviews with relevant experts, were conducted in Bangla. Interviews were audio-recorded and analysed manually using thematic analysis. Participants indicated their unwillingness to receive calls during their busy hours. They suggested shorter duration calls and two sessions to complete longer duration surveys. They recommended that incentives can increase call completion, and previous notification through voice or text message might improve this further. Previous experience with scam calls and mobile balance depletion resulted in their hesitancy to receive calls from unknown numbers. Respondents showed concerns about sharing sensitive issues like alcohol consumption. Providing responses by key presses, less familiarity with smartphone use, availability and strength of mobile networks were identified as challenges for IVR surveys. The study emphasized careful consideration of survey duration and burden, trustworthiness, general and technical literacy and socio-cultural factors to increase MPS participation.

The RADAR coverage tool: developing a toolkit for rigorous household surveys for reproductive, maternal, newborn, and child health & nutrition indicators

ABSTRACT Population-based intervention coverage data are used to inform the design of projects, programs, and policies and to evaluate their impact. In low- and middle-income countries (LMICs), household surveys are the primary source of coverage data. Many coverage surveys are implemented by organizations with limited experience or resources in population-based data collection. We developed a streamlined survey and set of supporting materials to facilitate rigorous survey design and implementation. The RADAR coverage survey tool aimed to 1) rigorously measure priority reproductive, maternal, newborn, child health & nutrition coverage indicators, and allow for equity and gender analyses; 2) use standard, valid questions, to the extent possible; 3) be as light as possible; 4) be flexible to address users’ needs; and 5) be compatible with the Lives Saved Tool for analysis of program impact. Early interactions with stakeholders also highlighted survey planning, implementation, and analysis as challenging areas. We therefore developed a suite of resources to support implementers in these areas. The toolkit was piloted by implementers in Tanzania and in Burkina Faso. Although the toolkit was successfully implemented in these settings and facilitated survey planning and implementation, we found that implementers must still have access to sufficient resources, time, and technical expertise in order to use the tool appropriately. This potentially limits the use of the tool to situations where high-quality surveys or evaluations have been prioritized and adequately resourced.

Vaccination

Vaccination

Epidemiology, management and outcome of status epilepticus in adults: single-center Italian survey.

The official variations of status epilepticus (SE) International League Against Epilepsy (ILAE, 2015) diagnostic criteria and the non-convulsive SE (NCSE) Salzburg Consensus Criteria (2013), impose the collection of updated population-based epidemiological Italian data. In this study, we aimed at evaluating (a) the frequency of SE in our hospital adopting the new ILAE 2015 SE diagnostic criteria and NCSE Salzburg Consensus Criteria, (b) the frequency of adherence to current treatment guidelines for SE and their relationship with patients' outcome, and (c) reliability of standardized prognostic scales (Status Epilepticus Severity Score-STESS-and modified STESS) for short-term outcome prediction in the setting of the newest diagnostic criteria for SE and NCSE. Detailed clinical and electrophysiological data collected in a 1-year retrospective hospital-based single-center survey on SE at Parma Hospital, Northern Italy are provided. Non-adherence to current treatment guidelines was recorded in around 50% cases, but no relation to outcome was appreciated. Mortality in our cohort increased from 30 to 50% when follow-up was extended to 30days. STESS score was strongly correlated with short-term mortality risk (OR 18.9, 2.2-163.5, CI), and we confirm its role as easy-to-use tool for outcome evaluation also when the new ILAE diagnostic SE criteria are applied.

CanStaging+: an electronic staging tool for population-based cancer registries.

Cancer staging—the anatomical extent to which a cancer has spread at diagnosis—is crucial in guiding the clinical care of individual patients. At the population level, staging provides useful information on health system performance relevant to a broad range of cancer control activities, including evaluation and monitoring of the impact of health campaigns, screening programmes, and cancer management. The collection of population-based staging data is undertaken by population-based cancer registries (PBCRs), which assign stage at diagnosis for each of the residents of the catchment population based on data from multiple clinical sources using internationally agreed rules. This exercise, however, remains fraught with challenges, with many PBCRs unable to easily report important stage parameters. From the completed questionnaires of Cancer Incidence in Five Continents, volume XI, 347 (75%) of 465 registries reported having collected cancer staging information for diagnoses registered from 2008 to 2012. The proportion varied greatly by cancer site and geographical region, with 96% of registries in North America and Europe reporting the collecting of staging information compared with only 52% in Latin America and the Caribbean. The comparability of staging across populations is also hampered by missing or poorly documented information in clinical systems, or a lack of consistency in the staging systems used by PBCRs. Even in high-income countries, staging data collection and completeness vary—for example, between 2010 and 2014, around 6–37% of staging data were missing for colorectal cancer in PBCRs across seven countries within the International Cancer Benchmarking Partnership. Development of paediatric non-stage prognosticator guidelines for population-based cancer registries and updates to the 2014 Toronto Paediatric Cancer Stage GuidelinesPopulation-based cancer registries (PBCRs) generate measures of cancer incidence and survival that are essential for cancer surveillance, research, and cancer control strategies. In 2014, the Toronto Paediatric Cancer Stage Guidelines were developed to standardise how PBCRs collect data on the stage at diagnosis for childhood cancer cases. These guidelines have been implemented in multiple jurisdictions worldwide to facilitate international comparative studies of incidence and outcome. Robust stratification by risk also requires data on key non-stage prognosticators (NSPs). Full-Text PDF

Population-based surveillance of medical tourism among US residents from 11 states and territories: Findings from the Behavioral Risk Factor Surveillance System.

To describe medical tourism among a subset of US residents; identify possible indicators for medical tourism. The US Centers for Disease Control and Prevention collaborated with 11 states and territories to ask 6 questions about medical tourism, using the Behavioral Risk Factor Surveillance System. Data collected from January 1, 2016, through December 31, 2016, included whether respondents traveled internationally for preplanned care, travel reasons and destinations, procedures received, and occurrence and treatment of complications. A descriptive analysis of demographics, socioeconomic status and health access variables was performed, and a regression model with a log-link function and Poisson distribution was used to estimate prevalence ratios (PR) for medical tourism. Of 93,492 respondents, 517 (0.55%) traveled internationally during the previous year for care. Mexico was the most common destination (41% of trips). Dentistry accounted for 55% of treatments. Complications from care received abroad were reported by 5% of medical tourists; 67% sought care upon returning to the United States. The prevalence of medical tourism was 1.32% (95% CI, 1.00-1.64). The prevalence of medical tourism was higher in Hispanics and non-whites (PR, 3.97; 95% CI, 2.48-6.32) and higher among those without current health insurance (PR, 2.70; 95% CI, 1.69-4.34). This is the largest collection of population-based surveillance data describing medical tourism among US residents from multiple states and territories. Understanding the demographic and socioeconomic factors associated with medical tourism can inform evidence-based recommendations for travelers and clinicians who may advise or care for these individuals before, during, or after travel.

Population (Antibody) Testing for COVID-19-Technical Challenges, Application and Relevance, an English Perspective.

In the UK, population virus or antibody testing using virus swabs, serum samples, blood spots or oral fluids has been performed to a limited extent for several diseases including measles, mumps, rubella and hepatitis and HIV. The collection of population-based infection and immunity data is key to the monitoring of disease prevalence and assessing the effectiveness of interventions such as behavioural modifications and vaccination. In particular, the biological properties of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and its interaction with the human host have presented several challenges towards the development of population-based immunity testing. Measuring SARS-CoV-2 immunity requires the development of antibody assays of acceptable sensitivity and specificity which are capable of accurately detecting seroprevalence and differentiating protection from non-protective responses. Now that anti-COVID-19 vaccines are becoming available there is a pressing need to measure vaccine efficacy and the development of herd immunity. The unprecedented impact of the SARS-CoV-2 pandemic in the UK in terms of morbidity, mortality, and economic and social disruption has mobilized a national scientific effort to learn more about this virus. In this article, the challenges of testing for SARS-CoV-2 infection, particularly in relation to population-based immunity testing, will be considered and examples given of relevant national level studies.

Comparison of stillbirth trends over two decades in Wales, United Kingdom and Western Australia: An international retrospective cohort study.

Stillbirth is a critical public health issue worldwide. While the rates in high-income countries are relatively low, there are persistent between-country disparities. To compare stillbirth rates and trends in Wales and the State of Western Australia (WA), Australia, and provide insights into any differences. In this international retrospective cohort study, we pooled population-based data collections of all births ≥24weeks' gestation (excluding terminations for congenital anomalies) between 1993 and 2015, divided into six time periods. The stillbirth rate per 1000 births was estimated for each cohort in each time period. Multivariable Poisson regression analyses, adjusted for appropriateness of growth, socio-economic status, maternal age, and multiple birth, were performed to evaluate the interaction between cohort and time period. Relative risk (RR) and 95% confidence interval (CI) for each time period and cohort were calculated. There were 767731 births (3725 stillbirths) in Wales and 648373 (2431 stillbirths) in WA. The overall stillbirth rate declined by 15.9% over the study period in Wales (from 5.3 in 1993-96 to 4.5 per 1000 births in 2013-15; Ptrend <.01) but by 40.4% in WA (from 4.9 to 2.9 per 1000 births in WA; Ptrend <.01). Using 1993-96 in WA as the reference group, the adjusted RRs for stillbirths at 37-38weeks' gestation in the most recent study period (2013-15) were 0.85 (95% CI 0.64, 1.13) in Wales and 0.51 (95% CI 0.36, 0.73) in WA. The stillbirth rates between Wales and WA have widened in the last two decades (especially among late-term births), although the absolute rates for both are distinctly higher than the best-performing nations. While the differences may be partly explained by timing of birth and maternal life style behaviours such as smoking, it is important to identify and ameliorate the associated risk factors to support a reduction in preventable stillbirths.

Childhood cancer in high resource settings

Treatment of childhood cancer in High income countries (HIC) has been a success story of the 20th century with data demonstrating ever increasing survival. Some countries (for example, the UK) have national and regional registries providing high quality data, whilst in other countries the lack of population based data makes comparison impossible. In middle and low income countries (MIC and LIC) the incidence of childhood cancer appears to be lower than in HIC, almost certainly due to the lack of diagnosing and reporting of cases. There may be poor understanding and recognition of symptoms, presentation to traditional healers, poor access to healthcare facilities in rural areas and lack of diagnostic testing. Once on treatment, abandonment of further care can be multifactorial in underlying cause but subsequent relapse and death may add to suspicion of "western" medicine. Additionally, the presenting symptoms of childhood cancer can mimic common infectious diseases such as malaria so that cases remain undiagnosed. By reflecting on some common examples of childhood cancer it can be helpful to identify the points on the pathway to diagnosis and treatment which demonstrate the differences between HIC and MIC/LIC. Some interventions, such as funding for travel to treatment centres, accommodation and treatment, can make the difference between some treatment and no treatment. Highlighting these opportunities for change will improve outcomes in childhood cancer and raise standards of care for paediatrics in general. We have described the pathway to diagnosis and management of childhood cancers in HIC and presented the pathways for common malignancies in HIC and comparators for MIC/LIC to encourage supportive dialogue to improve measures to widen global access to diagnosis and management for children with these conditions. A longer term goal would be to support registries for population-based data collection as part of wider understanding of cancer on a global scale.

Development of the Canadian COVID-19 Emergency Department Rapid Response Network population-based registry: a methodology study.

Background:Emergency physicians lack high-quality evidence for many diagnostic and treatment decisions made for patients with suspected or confirmed coronavirus disease 2019 (COVID-19). Our objective is to describe the methods used to collect and ensure the data quality of a multicentre registry of patients presenting to the emergency department with suspected or confirmed COVID-19.Methods:This methodology study describes a population-based registry that has been enrolling consecutive patients presenting to the emergency department with suspected or confirmed COVID-19 since Mar. 1, 2020. Most data are collected from retrospective chart review. Phone follow-up with patients at 30 days captures the World Health Organization clinical improvement scale and contextual, social and cultural variables. Phone follow-up also captures patient-reported quality of life using the Veterans Rand 12-Item Health Survey at 30 days, 60 days, 6 months and 12 months. Fifty participating emergency departments from 8 provinces in Canada currently enrol patients into the registry.Interpretation:Data from the registry of the Canadian COVID-19 Emergency Department Rapid Response Network will be used to derive and validate clinical decision rules to inform clinical decision-making, describe the natural history of the disease, evaluate COVID-19 diagnostic tests and establish the real-world effectiveness of treatments and vaccines, including in populations that are excluded or underrepresented in clinical trials. This registry has the potential to generate scientific evidence to inform our pandemic response, and to serve as a model for the rapid implementation of population-based data collection protocols for future public health emergencies.Trial registration:Clinicaltrials.gov, no. NCT04702945

Cost-Benefit Analysis of Interventions for Eradicating Chronic Kidney Disease of Multifactorial Origin from Tropical Countries

Background: In the mid-1970s, an unusual chronic kidney disease of multifactorial origin (CKDmfo), also known as CKD of unknown aetiology (CKDu), began to manifest in several economically poor, tropical, agricultural countries. This preventable, environmentally induced, occupational disease affects peri-equatorial countries; first manifested in Sri Lanka in the mid-1990s. The study goal was to estimate the costs of eradicating CKDmfo and the resulting cost savings in Sri Lanka. Methodology: A systematic assessment was performed on eight effective interventions (including providing clean water, behavioural and lifestyle changes, alleviating malnutrition, reducing overuse of agrochemicals, cost-effective disease treatment), the cost of prevention and the resultant cost savings. A cost-benefit analysis was based on the data collected during the past 20 years of work in Sri Lanka. Findings: The yearly cost required to eradicate the disease was approximately one-fifth of the current annual operating and opportunity costs. Collective effects from the essential multiple interventions indicate that with the implementation of a focussed disease-prevention plan, CKDmfo can be eradicated cost-effectively within 15 years. This includes a nationwide, real-time surveillance program, public and professional education, provision of potable water, prevention of environmental pollution, alleviation of malnutrition, regionwide screening, early diagnosis, and effective treatment of CKDmfo. Interpretation: This analysis is based on multiple population-level, disease-eradication strategies that include an interdisciplinary, geographic information system-based, regionwide, long-term research and intervention program; economic diversification; and environmental, socioeconomic, and behavioural improvements. Such an approach will facilitate identification of root causes and key risk factors, enabling implementation of cost-effective longer-term interventions. Funding: None. Declaration of Interest: None. Ethical Approval: This study involved population-based data collection to develop strategies to prevent CKDmfo; no individual study subjects were identified, so ethics approval was deemed not required.

Design and Preliminary Findings From a New Electronic Cohort Embedded in the Framingham Heart Study.

BackgroundNew models of scalable population-based data collection that integrate digital and mobile health (mHealth) data are necessary.ObjectiveThe aim of this study was to describe a cardiovascular digital and mHealth electronic cohort (e-cohort) embedded in a traditional longitudinal cohort study, the Framingham Heart Study (FHS).MethodsWe invited eligible and consenting FHS Generation 3 and Omni participants to download the electronic Framingham Heart Study (eFHS) app onto their mobile phones and co-deployed a digital blood pressure (BP) cuff. Thereafter, participants were also offered a smartwatch (Apple Watch). Participants are invited to complete surveys through the eFHS app, to perform weekly BP measurements, and to wear the smartwatch daily.ResultsUp to July 2017, we enrolled 790 eFHS participants, representing 76% (790/1044) of potentially eligible FHS participants. eFHS participants were, on average, 53±8 years of age and 57% were women. A total of 85% (675/790) of eFHS participants completed all of the baseline survey and 59% (470/790) completed the 3-month survey. A total of 42% (241/573) and 76% (306/405) of eFHS participants adhered to weekly digital BP and heart rate (HR) uploads, respectively, over 12 weeks.ConclusionsWe have designed an e-cohort focused on identifying novel cardiovascular disease risk factors using a new smartphone app, a digital BP cuff, and a smartwatch. Despite minimal training and support, preliminary findings over a 3-month follow-up period show that uptake is high and adherence to periodic app-based surveys, weekly digital BP assessments, and smartwatch HR measures is acceptable.

Screening for perinatal depression and predictors of underscreening: findings of the Born in Queensland study.

To investigate screening with the Edinburgh Postnatal Depression Scale (EPDS) as part of Queensland prenatal care services, as well as maternal and socio-demographic factors associated with not being screened. Cross-sectional retrospective analysis of data from the Queensland population-based Perinatal Data Collection for July 2015 - December 2015. All women giving birth in Queensland during the second half of 2015. Screening with the EPDS, with the values "yes" (health professional recorded an EPDS score), "no" (health professional reported it was not performed), and "not stated". Of 30468 women who gave birth in Queensland, 21735 (71.3%) completed the EPDS during pregnancy; 18942 pregnant women were enrolled as public patients (91.0%) and 2762 as private patients (28.8%). After adjusting for other socio-demographic factors, screening was less likely for women who were aged 36 years or more (v 25 years or younger: adjusted odds ratio [OR], 0.69; 95% CI, 0.60-0.79), enrolled as private patients (aOR, 0.05; 95% CI, 0.05-0.06), born overseas (aOR, 0.75; 95% CI, 0.68-0.82), Indigenous Australians (aOR, 0.47; 95% CI, 0.39-0.56), single or separated (aOR, 0.83; 95% CI, 0.73-0.94), or of higher socio-economic status. Four years after clinical guidelines recommending universal screening with the EPDS were published, screening rates for private and public health care patients differed markedly. Our results may inform future comparisons and analyses of the impact on screening of recent changes to Medicare definitions intended to increase that of women in private health care.

A Longitudinal Assessment of Associations Between Women's Tendency to Pretend Orgasm, Orgasm Function, and Intercourse-Related Pain in Different Partner Relationship Constellations.

The aim of the present study was to investigate how women's tendency to pretend orgasm during intercourse is associated with orgasm function and intercourse-related pain, using a longitudinal design where temporal stability and possible causal relationships could be modeled. The study sample consisted of 1421 Finnish women who had participated in large-scale population-based data collections conducted at two time points 7years apart. Pretending orgasm was assessed for the past 4weeks, and orgasm function and pain were assessed using the Female Sexual Function Index for the past 4weeks. Associations were also computed separately in three groups of women based on relationship status. Pretending orgasm was considerably variable over time, with 34% of the women having pretended orgasm a few times or more at least at one time point, and 11% having done so at both time points. Initial bivariate correlations revealed associations between pretending orgasm and orgasm problems within and across time, whereas associations with pain were more ambiguous. However, we found no support in the path model for the leading hypotheses that pretending orgasms would predict pain or orgasm problems over a long period of time, or that pain or orgasm problems would predict pretending orgasm. The strongest predictor of future pretending in our model was previous pretending (R 2=.14). Relationship status did not seem to affect pretending orgasm in any major way.

Changes over time in the prevalence and treatment of cardiovascular risk factors, and contributions to time trends in coronary mortality over 25 years in the Lille urban area (northern France)

The long-term collection of population-based data should improve our knowledge of the contribution of trend in cardiovascular risk factors to the steady fall in mortality associated with coronary heart disease in high-income countries. To assess long-term time trends in the prevalence of cardiovascular risk factors, estimated coronary heart disease risk and mortality between 1986 and 2013 in the Lille urban area (northern France). We studied representative samples of inhabitants of the Lille urban area (aged 40-64 years) in 1986-1988 (n=860), 1995-1996 (n=1021), 2005-2007 (n=1021) and 2011-2013 (n=1636), together with data from the Lille MONICA registry. In men, the age-standardized prevalence fell between 1986 and 2013 from 70.5% to 42.5% for hypertension, from 71.1% to 58.3% for dyslipidaemia and from 44.1% to 24.7% for smoking (all P<0.001). The prevalence of being overweight increased from 59.6% to 65.1% (P<0.05). In women, the prevalences decreased from 56.6% to 34.3% for hypertension and from 60.9% to 42.2% for dyslipidaemia (both P<0.001). The prevalences of smoking (17%) and being overweight (50%) were stable. The mean 10-year (95% confidence interval) predicted risk of fatal coronary heart disease (estimated with the Systematic Coronary Risk Evaluation equation) decreased by 2.02% (1.78-2.25%) per year for men and by 1.55% (1.32-1.78%) for women. The observed coronary mortality rate fell by 2.6% (2.2-3.0%) in men and 2.8% (1.9-3.6%) in women. Prevalences of main risk factors and estimated coronary mortality risk decreased concomitantly with the observed coronary mortality - indicating that primary prevention made a major contribution to the decrease in mortality.