COVID-19-associated costs and mortality in Germany: an incidence-based analysis from a payer's perspective.

BACKGROUND: This study aims to estimate average COVID-19-associated healthcare costs per capita in Germany from a payer perspective. In addition, insights into COVID-19-associated mortality should be gained. METHODS: For this purpose, a retrospective longitudinal analysis using health insurance claims data was performed. Patients affected by COVID-19 in Q1/2021 (investigation group (IG)) were compared to a matched non-COVID-19 control group (CG) (1:1 propensity score matching (PSM)). Mean values of healthcare costs in 2020 and 2021 were computed for both groups and then separated by age and by development of Post-COVID-19 Syndrome (PCS). Group differences were examined using Mann-Whitney U test (α = 0.05). Difference-in-Differences approach (DiD) was used to estimate average cost effects of COVID-19 in 2021. Concerning mortality, the number of deaths in 2021 was compared between IG and CG using χ2 test of independence. RESULTS: A total of 8,014 insurants were included (n = 4,007 per group; n = 536 per group examining PCS patients only). Total healthcare costs varied a lot in the sample, were comparable between IG and CG in 2020, but were significantly higher in the IG in 2021 (DiD estimate = € 1,063 (in total); € 3,242 (PCS group)). This was more pronounced in the older age groups. High hospital costs of a minority of patients were the most influential driver of COVID-19-associated healthcare costs. Mortality was more than doubled in the IG (tripled in patients aged ≥ 60). CONCLUSIONS: COVID-19 is associated with significantly increased healthcare costs and mortality, especially in older age groups. The additional development of PCS further increases the costs of COVID-19.

Investigating Patient Use and Experience of Online Appointment Booking in Primary Care: Mixed Methods Study.

BACKGROUND: Online appointment booking is a commonly used tool in several industries. There is limited evidence about the benefits and challenges of using online appointment booking in health care settings. Potential benefits include convenience and the ability to track appointments, although some groups of patients may find it harder to engage with online appointment booking. We sought to understand how patients in England used and experienced online appointment booking. OBJECTIVE: This study aims to describe and compare the characteristics of patients in relation to their use of online appointment booking in general practice and investigate patients' views regarding online appointment booking arrangements. METHODS: This was a mixed methods study set in English general practice comprising a retrospective analysis of the General Practice Patient Survey (GPPS) and semistructured interviews with patients. Data used in the retrospective analysis comprised responses to the 2018 and 2019 GPPS analyzed using mixed-effects logistic regression. Semistructured interviews with purposively sampled patients from 11 general practices in England explored experiences of and views on online appointment booking. Framework analysis was used to allow for comparison with the findings of the retrospective analysis. RESULTS: The retrospective analysis included 1,327,693 GPPS responders (2018-2019 combined). We conducted 43 interviews with patients with a variety of experiences and awareness of online appointment booking; of these 43 patients, 6 (14%) were from ethnic minority groups. In the retrospective analysis, more patients were aware that online appointment booking was available (581,224/1,288,341, 45.11%) than had experience using it (203,184/1,301,694, 15.61%). There were deprivation gradients for awareness and use and a substantial decline in both awareness and use in patients aged >75 years. For interview participants, age and life stage were factors influencing experiences and perceptions, working patients valued convenience, and older patients preferred to use the telephone. Patients with long-term conditions were more aware of (odds ratio [OR] 1.43, 95% CI 1.41-1.44) and more likely to use (OR 1.65, 95% CI 1.63-1.67) online appointment booking. Interview participants with long-term conditions described online appointment booking as useful for routine nonurgent appointments. Patients in deprived areas were clustered in practices with low awareness and use of online appointment booking among GPPS respondents (OR for use 0.65, 95% CI 0.64-0.67). Other key findings included the influence of the availability of appointments online and differences in the registration process for accessing online booking. CONCLUSIONS: Whether and how patients engage with online appointment booking is influenced by the practice with which they are registered, whether they live with long-term conditions, and their deprivation status. These factors should be considered in designing and implementing online appointment booking and have implications for patient engagement with the wider range of online services offered in general practice.

Exploring Relations Between Unique Patient Characteristics and Virtual Reality Immersion Level on Anxiety and Pain in Patients Undergoing Venipuncture: Secondary Analysis of a Randomized Control Trial.

BACKGROUND: Virtual reality (VR) is a well-researched digital intervention that has been used for managing acute pain and anxiety in pediatric patients undergoing various medical procedures. This study focuses on investigating the role of unique patient characteristics and VR immersion level on the effectiveness of VR for managing pediatric pain and anxiety during venipuncture. OBJECTIVE: The purpose of this study is to determine how specific patient characteristics and level of immersion during a VR intervention impact anxiety and pain levels for pediatric patients undergoing venipuncture procedures. METHODS: This study is a secondary data analysis of 2 combined, previously published randomized control trials on 252 pediatric patients aged 10-21 years observed at Children's Hospital Los Angeles from April 12, 2017, to July 24, 2019. One randomized clinical trial was conducted in 3 clinical environments examining peripheral intravenous catheter placement (radiology and an infusion center) and blood draw (phlebotomy). Conditional process analysis was used to conduct moderation and mediation analyses to assess the impact of immersion level during the VR intervention. RESULTS: Significant moderation was found between the level of immersion and anxiety sensitivity when predicting postprocedural anxiety (P=.01). Patients exhibiting the highest anxiety sensitivity within the standard of care yielded a 1.9 (95% CI 0.9-2.8; P<.001)-point elevation in postprocedural anxiety relative to individuals with high immersion levels. No other significant factors were found to mediate or moderate the effect of immersion on either postprocedural anxiety or pain. CONCLUSIONS: VR is most effective for patients with higher anxiety sensitivity who report feeling highly immersed. Age, location of the procedure, and gender of the patient were not found to significantly impact VR's success in managing levels of postprocedural pain or anxiety, suggesting that immersive VR may be a beneficial intervention for a broad pediatric population. TRIAL REGISTRATION: ClinicalTrials.gov NCT04268901; https://clinicaltrials.gov/study/NCT04268901.

Patterns and factors associated with dental service utilization among insured people: a data mining approach.

BACKGROUND: Insurance databases contain valuable information related to the use of dental services. This data is instrumental in decision-making processes, enhancing risk assessment, and predicting outcomes. The objective of this study was to identify patterns and factors influencing the utilization of dental services among complementary insured individuals, employing a data mining methodology. METHODS: A secondary data analysis was conducted using a dental insurance dataset from Iran in 2022. The Cross-Industry Standard Process for Data Mining (CRISP-DM) was employed as a data mining approach for knowledge extraction from the database. The utilization of dental services was the outcome of interest, and independent variables were chosen based on the available information in the insurance dataset. Dental services were categorized into nine groups: diagnostic, preventive, periodontal, restorative, endodontic, prosthetic, implant, extraction/surgical, and orthodontic procedures. The independent variables included age, gender, family size, insurance history, franchise, insurance limit, and policyholder. A multinomial logistic regression model was utilized to investigate the factors associated with dental care utilization. All analyses were conducted using RapidMiner Version 2020. RESULTS: The analysis encompassed a total of 654,418 records, corresponding to 118,268 insured individuals. Predominantly, restorative treatments were the most utilized services, accounting for approximately 38% of all services, followed by diagnostic (18.35%) and endodontic (13.3%) care. Individuals aged between 36 and 60 years had the highest rate of utilization for any dental services. Additionally, families comprising three to four members, individuals with a one-year insurance history, people contracted with a 20% franchise, individuals with a high insurance limit, and insured individuals with a small policyholder, exhibited the highest rate of service usage compared to their counterparts. The regression model revealed that all independent variables were significantly associated with the use of dental services. However, the patterns of association varied among different service categories. CONCLUSIONS: Restorative treatments emerged as the most frequently used dental services among insured individuals, followed by diagnostic and endodontic procedures. The pattern of service utilization was influenced by the characteristics of the insured individuals and attributes related to their insurance.

Children and young people's reported contact with professional services for mental health concerns: a secondary data analysis.

Children and young people's mental health services have been under increasing pressure following COVID-19. Understanding, for which channels help is sought from, will highlight services needing support. This study aims to explore the professional services that parents of children, and young people get help from when they have a concern for the child's/their mental health. Secondary analysis of data is taken from Mental Health of Children and Young People in England Survey, 2017. 7608 reports of mental health-related contact with professional services from parents of 5-16 year-olds and self-reports from young people aged 17-19 were available. Service contact was reported by Diagnostic and Statistical Manual of Mental Disorders (DSM-V) diagnosis, age, gender and ethnicity. Less than two-thirds of children and young people with a DSM-V diagnosis (63.5% (95% CI 58.6-68.1) aged 5-10, and 64.0% (95% CI 59.4-68.4) aged 11-16) reported contact with any professional services. The figure was lower for those aged 17-19; 50.1% (95% CI 42.8-58.2), p = 0.005. Children and young people aged 5-16 from Black (11.7%; 95% CI 2.4-41.4), Asian (55.1%; 95% CI 34.7-73.9) and Mixed (46.0%; 95% CI 32.4-60.3) ethnic groups reported less contact with professional services compared to those from the White group (66.9%; 95% CI 63.5-70.2). Patterns of service access during the three main educational stages aid with understanding service need during childhood. These lower levels of reported service access for young people aged 17-19 with a DSM-V diagnosis and those in ethnic minority groups demand further investigation.

The impact of the COVID-19 pandemic on administrative eating disorder prevalence in the outpatient sector and on severity of anorexia nervosa.

The COVID-19 pandemic appears to have had a considerable impact on the mental health of children and adolescents, particularly regarding eating disorders. However, it remains unclear whether the pandemic affected only the frequency or also the severity of eating disorders. We examined potential pandemic-related changes in the administrative prevalence of eating disorders in the outpatient sector compared with other mental disorders using German statutory health insurance data for the age group 10 to 16 years. We also examined disorder severity of anorexia nervosa using data from the multicenter German Registry of Children and Adolescents with Anorexia Nervosa in the same age group. Our results showed a marked increase in the administrative prevalence of eating disorders (based on documented diagnoses) in the outpatient sector among girls but not among boys. A similar pattern was found for internalizing disorders, whereas the administrative prevalences of externalizing disorders decreased. Regarding the severity of anorexia nervosa among inpatients, we found no pandemic-related changes in body mass index standard deviation score at admission, body weight loss before admission, psychiatric comorbidities and psychopharmacological medication. Given the administrative prevalence increase in the outpatient sector, the lack of impact of the pandemic on the inpatient sector may also be partly due to a shift in healthcare utilization towards outpatient services during the pandemic. Thus, the higher number of children and adolescents requiring specialized and timely outpatient care may be a major concern under pandemic conditions.

Attitudes on data reuse among internal medicine residents.

Background: NYU Langone Health offers a collaborative research block for PGY3 Primary Care residents that employs a secondary data analysis methodology. As discussions of data reuse and secondary data analysis have grown in the data library literature, we sought to understand what attitudes internal medicine residents at a large urban academic medical center had around secondary data analysis. This case report describes a novel survey on resident attitudes around data sharing. Methods: We surveyed internal medicine residents in three tracks: Primary Care (PC), Categorical, and Clinician-Investigator (CI) tracks as part of a larger pilot study on implementation of a research block. All three tracks are in our institution's internal medicine program. In discussions with residency directors and the chief resident, the term "secondary data analysis" was chosen over "data reuse" due to this being more familiar to clinicians, but examples were given to define the concept. Results: We surveyed a population of 162 residents, and 67 residents responded, representing a 41.36% response rate. Strong majorities of residents exhibited positive views of secondary data analysis. Moreover, in our sample, those with exposure to secondary data analysis research opined that secondary data analysis takes less time and is less difficult to conduct compared to the other residents without curricular exposure to secondary analysis. Discussion: The survey reflects that residents believe secondary data analysis is worthwhile and this highlights opportunities for data librarians. As current residents matriculate into professional roles as clinicians, educators, and researchers, libraries have an opportunity to bolster support for data curation and education.

Minimum clinically important difference and substantial clinical benefit in patients with chronic temporomandibular disorders.

BACKGROUND: Research on temporomandibular disorder (TMD) responsiveness is scarce and limited regarding patients' representativeness. OBJECTIVE(S): This study aimed to estimate minimum clinically important difference (MCID) and substantial clinical benefit (SCB) among a large and diverse patient population regarding sex and age. METHODS: In this study, 162 patients participated from five hospitals. MCID and SCB in pain, functional disability and quality of life were examined with anchor-based methods. Patients' global impression of change was used as the anchor. Area under the curve (AUC) values were determined for testing accuracy. Changes from baseline and coefficient of variation by responsiveness status were calculated to explain the results of accuracy. RESULTS: SCB was estimated to be 2.18 for the numeric rating scale (NRS) for pain (AUC: 0.80 [95% CI: 0.72-0.88]) in all patients and 2.50 in women (AUC: 0.81 [95% CI: 0.71-0.89]). The estimated SCB of NRS for discomfort (1.50) and Jaw Functional Limitation Scale for mastication (1.35) had wide CIs for AUCs. Likewise, the estimated MCIDs of NRS for pain (0.80) and NRS for discomfort (1.50) had wide CIs for AUCs. Among non-responders who did not achieve the MCID of NRS for pain, the coefficient of variation was very high for all outcomes other than the NRS for pain. CONCLUSION: This study investigated the responsiveness of patients with TMD using a large and diverse patient sample. SCB in pain decrease can be used to assess the responsiveness of patients with TMD. Composite outcomes should be developed to estimate MCID.

The influence of spirituality on caregiver burden and quality of life in older adult informal caregivers.

BACKGROUND: Caregiver burden (CB) reduces quality of life (QOL) and causes poor health outcomes. Spirituality impacts this relationship. AIMS: To determine prevalence of CB and investigate relationships among CB, spirituality, and QOL in older U.S. adult informal caregivers (n = 754). METHODS: This was a cross-sectional, descriptive secondary analysis of data from the 2020 Health and Retirement Study using GLM and SEM. RESULTS: Caregiver mean age was 65.93 (SD=8.37). Caregivers were primarily female (n = 456, 54.0%), White (n = 500, 79.5%), and married (n = 469, 65.3%). Most caregivers had moderate CB (n = 369, 49.8%). Black caregivers who were spiritual (p=.031) and caregivers with a high school diploma/GED who were spiritual (p=.021) had lower CB. Lower CB was correlated with higher QOL (p=< 0.001). SEM depicting an influencing effect of spirituality revealed good model fit (NFI=0.988; IFI=0.993; TLI=0.983; PCFI=0.397, RMSEA=0.043; χ2=9.577, p=.048, DF=4) CONCLUSIONS: Fostering spirituality in older adult caregivers could reduce CB and improve QOL.

[Establishment of the new "Health Data Lab" to provide data for science]. / Aufbau des neuen "Forschungsdatenzentrums Gesundheit" zur Datenbereitstellung für die Wissenschaft.

The analysis of real-world data (RWD) has become increasingly important in health research in recent years. With the BfArM Health Data Lab (HDL), which is currently being set up, researchers will in future be able to gain access to routine data from the statutory health insurance of around 74 million people in Germany. Data from electronic patient records can also be made available for research prospectively. In doing so, the Health Data Lab guarantees the highest data protection and IT security standards. The digital application process, the provision of data in secure processing environments as well as the features supporting the analyses such as catalogues of coding systems, a point-and-click analysis tool and predefined standard analyses increase user-friendliness for researchers. The use of the extensive health data accessible at HDL will open a wide range of future possibilities for improving the health system and the quality of care. This article begins by highlighting the advantages of the HDL and outlining the opportunities that the RWD offers for research in healthcare and for the population. The structure and central aspects of the HDL are explained afterwards. An outlook on the opportunities of linking different data is given. What the application and data usage processes at the HDL will look like is illustrated using the example of fictitious possibilities for analysing long COVID based on the routine data available at the HDL in the future.

Cancer Screening Rates Among Asian Americans: A Cross-Sectional Secondary Data Analysis Study.

PURPOSE: This study aims 1) to investigate recent cancer screening rates among Asian Americans and 2) to test the relationship between race/ethnicity and cancer screening rates. METHODS: This is a cross-sectional secondary data analysis study using data from the 2019 National Health Interview Survey. The screening rates of prostate cancer, colorectal cancer, cervical cancer, and breast cancer among non-Hispanic (NH) Asian Americans, Hispanics, NH Whites, NH African Americans, and NH American Indian and Alaska Natives (AIAN) were analyzed in July 2022. The variables were recoded and analyzed using descriptive analysis and chi-square test. The SPSS version 27 software was used. RESULTS: Descriptive analysis showed a general low screening rate of cancers among Asian Americans, which ranged from 40.5% to 67.5%. The chi-square test suggested significant associations between race/ethnicity and the screening rates of colorectal cancer (P = .002), cervical cancer (P < .01), and breast cancer (P = .021), but not the prostate cancer (P = .472). CONCLUSION: Necessary intervention programs should be designed to increase the uptake rates of cancer screening among Asian Americans.

Inter-Hospital Transfer of Patients With Ruptured Abdominal Aortic Aneurysm in Switzerland.

OBJECTIVE: To analyse the association between inter-hospital transfer and hospital mortality in patients with ruptured abdominal aortic aneurysms (rAAA) in Switzerland. METHODS: Secondary data analysis of case related hospital discharge data from the Swiss Federal Statistical Office for the years 2009 - 2018. All cases with rAAA as primary or secondary diagnosis were included. Cases with rAAA as a secondary diagnosis without surgical treatment and cases that had been transferred to another hospital without surgical treatment at the referring hospital were excluded. Logistic regression models for hospital mortality were constructed with age, sex, type of admission, van Walraven comorbidity score, type of treatment, insurance class, hospital level, and year of treatment as independent variables. RESULTS: A total of 1 798 cases with rAAA were treated either surgically (62.5%) or palliatively (37.5%) in Switzerland from 1 January 2009 to 31 December 2018. Of these cases, 72.9% were treated directly (surgically or palliatively) at the hospital of first presentation, whereas 27.1% of all cases with rAAA were transferred between hospitals. The overall crude hospital mortality was 50.3%; being 23.1% in the surgically treated cohort and 95.7% in the palliatively treated cohort. Inter-hospital transfer was associated with better survival compared with patients who were admitted directly (OR 0.52; 95% CI 0.36 - 0.75; p < .001). Treatment in major hospitals was associated with significantly higher mortality rate compared with university hospitals (OR 1.98; 1.41 - 2.79; p < .001). There was no evidence of an association between open repair and hospital mortality (OR 1.06; 0.77 - 1.48; p = .72) compared with endovascular repair. CONCLUSION: In a healthcare system such as Switzerland's with a highly specialised rescue chain, transfer of haemodynamically stable patients with rAAA is probably safe. In this setting, centralised medical care might outweigh the potential disadvantages of a short delay due to patient transfer. Further studies are needed to address potential confounding factors such as haemodynamic and anatomical features.

Mapping regional variability of exclusive breastfeeding and its determinants at different infant's age in Tanzania.

INTRODUCTION: Despite its numerous benefits, exclusive breastfeeding (EBF) remains an underutilized practice. Enhancing EBF uptake necessitates a focused approach targeting regions where its adoption is suboptimal. This study aimed to investigate regional disparities in EBF practices and identify determinants of EBF among infants aged 0-1, 2-3, and 4-5 months in Tanzania. METHODS: This cross-sectional study utilized data from the 2015/16 Tanzania Demographic and Health Survey. A total of 1,015 infants aged 0-5 met the inclusion criteria, comprising 378 aged 0-1 month, 334 at 2-3 months, and 303 at 4-5 months. EBF practices were assessed using a 24-hour recall method. A generalized linear mixed model, with fixed covariates encompassing infant and maternal attributes and clusters for enumeration areas (EAs) and regions, was employed to estimate EBF proportions. RESULTS: Regional disparities in EBF were evident among infants aged 0-1, 2-3, and 4-5 months, with decline in EBF proportions as an infant's age increases. This pattern was observed nationwide. Regional and EA factors influenced the EBF practices at 0-1 and 2-3 months, accounting for 17-40% of the variability at the regional level and 40-63% at the EA level. Literacy level among mothers had a significant impact on EBF practices at 2-3 months (e.g., women who could read whole sentences; AOR = 3.2, 95% CI 1.1,8.8). CONCLUSION: Regional disparities in EBF proportions exist in Tanzania, and further studies are needed to understand their underlying causes. Targeted interventions should prioritize regions with lower EBF proportions. This study highlights the clustering of EBF practices at 0-1 and 2-3 months on both regional and EA levels. Conducting studies in smaller geographical areas may enhance our understanding of the enablers and barriers to EBF and guide interventions to promote recommended EBF practices.

Temporal and spatial changes in the provision of mental health care during the COVID-19 pandemic in Germany: a claims-based cohort study on patients with severe mental disorders.

PURPOSE: Major lockdowns were imposed in Germany from March until May 2020 and from December 2020 until May 2021. We studied the influence of these lockdowns, the strain on intensive care units and the strictness of COVID-19-related containment strategies on the utilization of mental health care among patients with severe mental disorders. METHODS: We used health insurance claims data to identify n = 736,972 patients with severe mental disorders shortly before the pandemic and n = 735,816 patients a year earlier. We applied entropy balancing to adjust for baseline differences by district. For a 12-month follow-up, we modeled monthly changes in utilization through meta-analytic models using both the COVID-19 stringency index and intensive care unit cases per 100,000 inhabitants as predictors. Our outcomes were changes in psychiatric hospital days and time treated by outpatient psychiatrists. RESULTS: Psychiatric hospital days declined by at least 7.7% in all calender month during the pandemic. Peak reduction rates were observed in April (- 27.9%), May (- 22.3%) 2020 and January 2021 (- 18.3%). Utilization changes were associated with the stringency index and the second lockdown. Time treated by psychiatrists was shorter in April (- 16.2%) and May (- 11.5%) 2020 and in January 2021 (- 10.5%), which was partially offset by higher utilization in June and September 2020. These utilization changes were associated with the stringency index and the strain on intensive care units during both lockdowns. CONCLUSION: Hospitals did not maintain the level of utilization during the pandemic, while outpatient psychiatrists adapted more quickly, presumably due to digital and telemedical care.

The experiences of patients with advanced heart failure, family carers, and health professionals with palliative care services: a secondary reflexive thematic analysis of longitudinal interview data.

BACKGROUND: Patients with heart failure have significant palliative care needs, but few are offered palliative care. Understanding the experiences of delivering and receiving palliative care from different perspectives can provide insight into the mechanisms of successful palliative care integration. There is limited research that explores multi-perspective and longitudinal experiences with palliative care provision. This study aimed to explore the longitudinal experiences of patients with heart failure, family carers, and health professionals with palliative care services. METHODS: A secondary analysis of 20 qualitative three-month apart interviews with patients with heart failure and family carers recruited from three community palliative care services in the UK. In addition, four group interviews with health professionals from four different services were analysed. Data were analysed using 'reflexive thematic' analysis. Results were explored through the lens of Normalisation Process Theory. RESULTS: Four themes were generated: Impact of heart failure, Coping and support, Recognising palliative phase, and Coordination of care. The impact of heart failure on patients and families was evident in several dimensions: physical, psychological, social, and financial. Patients developed different coping strategies and received most support from their families. Although health professionals endeavoured to support the patients and families, this was sometimes lacking. Health professionals found it difficult to recognise the palliative phase and when to initiate palliative care conversations. In turn, patients and family carers asked for better communication, collaboration, and care coordination along the whole disease trajectory. CONCLUSIONS: The study provided broad insight into the experiences of patients, family carers, and health professionals with palliative care. It showed the impact of heart failure on patients and their families, how they cope, and how they could be supported to address their palliative care needs. The study findings can help researchers and healthcare professionals to design palliative care interventions focusing on the perceived care needs of patients and families.

Reproductive health of women with intellectual disability: antenatal care, pregnancies and outcomes in the Dutch population.

BACKGROUND: Research in a handful of countries found that women with intellectual disability (ID) faced barriers and risks regarding antenatal care and reproductive health. This study tested disparities between women in the Netherlands with and without ID in antenatal care, pregnancy rates and pregnancy outcomes. METHODS: Secondary analyses on the large representative panel of primary health patients in the Netherlands by the Netherlands Institute for Health Services Research (NIVEL) compared women in their reproductive age (18-49 years) with (n = 2397) and without (n = 228 608) indicators of ID. Bias due to underreporting and under-identification was reduced by linkage with an index of ID for the total Dutch population from Statistical Netherlands. RESULTS: Women with ID were more likely to receive contraceptive care [95% confidence interval (CI) for odds ratio (OR) = 1.37-1.61] and became somewhat more often pregnant (95% CI OR = 1.06-2.30) than women from the general population, adjusting for age difference and follow-up time. No statistical differences were found in medical complications during pregnancy, delivery and immediately after birth, but women with indicators of ID had a higher risk of losing their pregnancy, including through induced abortion (95% CI OR = 1.26-1.99). CONCLUSIONS: Women with ID have specific needs around contraceptive care and risks around their pregnancy that may require more awareness among practitioners and better understanding of the processes of care and decision-making.

School Factors Associated With Past 30-Day E-Cigarette Use Among Hispanic Youth.

E-cigarettes are a popular type of nicotine product among youth in the United States. Hispanic youth, one of the fastest growing populations in the United States, are second only to white youth for e-cigarette use. Analysis of the Parents' Resource Institute for Drug Education data was conducted to determine past 30-day e-cigarette use among Hispanic youth (n = 4,602) and also examined school factors related to such use. Findings indicated that 13.8% of Hispanic youth used e-cigarettes in the past 30 days. Multivariate logistic regression analysis determined several school factors (e.g., poor grades, grade level) related to e-cigarette use. School-based prevention programs are needed to reduce and eliminate e-cigarette use among Hispanic youth.

Using A Thin Slice Coding Approach to Assess Preschool Overweight and Obesity.

Obesity is a major public health problem and cause of significant burden across the lifespan. Longitudinal samples, beginning in early childhood offer an advantageous approach to studying obesity, given the potential to observe within-individual changes over time. Yet among the many available longitudinal studies of children, particularly those studying psychological disorders, do not assess for overweight/obesity status or related constructs necessary to compute BMI. We offer a unique thin slice approach for assessing obesity/overweight status using previously collected video data. The current study observationally coded overweight/obesity status in a clinically enriched sample of preschoolers oversampled for depression (N=299). Preschoolers (ages 3-6 years) completed 1-8 structured observational tasks with an experimenter. Overweight/obesity was coded using a "thin slice" technique with 7,820 unique ratings available for analysis. Parent-reported physical health problems were assessed throughout the study and BMI percentiles were available from ages 8-19 years. Thin-slice ratings of overweight/obesity were reliably observed in preschoolers' ages 3-6 years. Thin-slice ratings of overweight/obesity during preschool significantly predicted adolescent BMI percentiles at six separate assessments spanning ages 8-19 years. Further, preschool overweight/obese thin-slice ratings were associated with more physical health problems over time and less sport/activity participation during preschool. Overweight/obesity can be observationally identified in preschool-age children and offers a reliable estimate of future BMI percentile. Study findings highlight how previously collected data could be utilized to study the developmental trajectories of overweight/obesity to inform this critical public health problem.

Accurate identification of cohort study designs in perinatal research: a practical guide.

Study designs are often mischaracterized in the obstetrics literature; in particular, the designation of studies as retrospective (historical) cohorts is frequently in error to describe studies that are prospective cohorts. This is especially true for studies based on electronic health records, which often should be properly considered as prospective cohorts. Epidemiologic study designs were developed in earlier eras of research and healthcare when researchers directly contacted study participants or relied on data from paper medical records. Accordingly, standard epidemiologic study design definitions are difficult to apply to digitized data, which have become common in the modern era of healthcare and computing. In this article, we briefly review the characteristics of the 3 main types of cohort studies. Afterward, we build on existing definitions by proposing several subdesignations of prospective cohort studies that we believe will reduce the confusion in terminology. We provide illustrative examples from obstetrics to concretely demonstrate connections and distinctions among study designs. First, a prospective cohort study can be "active" (participants are deliberately and explicitly enrolled in a prospective research study) or "passive" (participants are followed up in real time for some nonresearch activity, such as clinical care or quality improvement). An active prospective cohort study never stops being a prospective cohort study; however, when reused to answer a new, secondary question, we propose that this should be called a "reused (active) prospective cohort." The de novo cohort study that answered the original question should be considered an "intended (active) prospective cohort." Lastly, when a randomized controlled trial is reused to study some new questions where the randomization variable is not under study, this is also a subtype of a prospective cohort study, a "repurposed randomized controlled trial." The use of more detailed descriptors to describe prospective cohort studies will enable more accurate identification of this study design going forward. It is likely that further refinements will be needed in the future, given the ongoing evolution of how we engage with patients or participants and how data are collected, stored, and linked.

Protecting against researcher bias in secondary data analysis: challenges and potential solutions.

Analysis of secondary data sources (such as cohort studies, survey data, and administrative records) has the potential to provide answers to science and society's most pressing questions. However, researcher biases can lead to questionable research practices in secondary data analysis, which can distort the evidence base. While pre-registration can help to protect against researcher biases, it presents challenges for secondary data analysis. In this article, we describe these challenges and propose novel solutions and alternative approaches. Proposed solutions include approaches to (1) address bias linked to prior knowledge of the data, (2) enable pre-registration of non-hypothesis-driven research, (3) help ensure that pre-registered analyses will be appropriate for the data, and (4) address difficulties arising from reduced analytic flexibility in pre-registration. For each solution, we provide guidance on implementation for researchers and data guardians. The adoption of these practices can help to protect against researcher bias in secondary data analysis, to improve the robustness of research based on existing data.