Predictive value of indicators for identifying child maltreatment and intimate partner violence in coded electronic health records: a systematic review and meta-analysis

Relationships Between Alcohol Policies and Infant Morbidities and Injuries

INTRODUCTION

Previous research has found that policies specifically focused on pregnant people's alcohol use are largely ineffective. Therefore, the purpose of this study is to analyze the relationships between general population policies regulating alcohol physical availability and outcomes related to pregnant people's alcohol use, specifically infant morbidities and injuries.

METHODS

Outcome data were obtained from Merative MarketScan, a longitudinal commercial insurance claims data set. Policy data were obtained from the National Institute on Alcohol Abuse and Alcoholism's Alcohol Policy Information System, the National Alcohol Beverage Control Association, and Liquor Handbooks and merged using policies in effect during the estimated year of conception. Relationships between state-level policies regulating sites, days/hours, and government monopoly of liquor sales and infant morbidities and injuries were examined. Analyses used logistic regression with individual controls, fixed effects for state and year, state-specific time trends, and SEs clustered by state. The study analysis was conducted from 2021 to 2023.

RESULTS

The analytic sample included 1,432,979 infant-birthing person pairs, specifically people aged 25-50 years who gave birth to a singleton between 2006 and 2019. A total of 3.1% of infants had a morbidity and 2.1% of infants had an injury. State government monopoly on liquor sales was associated with reduced odds of infant morbidities and injuries, whereas gas station liquor sales were associated with increased odds of infant morbidities and injuries. Allowing liquor sales after 10PM was associated with increased odds for infant injuries. No effect was found for allowing liquor sales in grocery stores or on Sundays.

CONCLUSIONS

Findings suggest that limiting alcohol availability for the general population may help reduce adverse infant outcomes related to pregnant people's alcohol use.

Domestic Violence-Related Ocular Injuries Among Adult Patients: Data from the Nationwide Emergency Department Sample, 2008-2017

PURPOSE

To investigate domestic violence (DV)-related ocular injuries among adult emergency department (ED) patients in the US.

METHODS

This was a retrospective, cross-sectional study of patients with a diagnosis of DV and diagnosis of ocular injury in the Nationwide Emergency Department Sample (NEDS) from 2008-2017. We identified patient- and hospital-level variables associated with DV-related ocular injuries. We calculated annual incidence rates using US Census data. Adjusting for inflation using the Consumer Price Index, we calculated mean and total charges.

RESULTS

From 2008-2017, there were 26,215 ED visits for ocular injuries related to DV with an average incidence of 1.09 per 100,000 adult population (female patients, 84.5%; mean age [SE], 34.3 [0.2]). DV-related ocular injuries were most prevalent among patients in the lowest income quartile (39.1%) and on Medicaid (37.4%). Most ED visits presented to metropolitan teaching (55.4%), non-trauma (46.7%), and south regional (30.5%) hospitals. The most common ocular injury was contusion of eye/adnexa (61.1%). The hospital admission rate was 5.2% with a mean hospital stay of 2.9 [0.2]. The inflation-adjusted mean cost for medical services was $38,540 [2,310.8] per encounter with an average increase of $2,116 per encounter, annually. The likelihood of hospital admission increased for patients aged ≥60 years old, on Medicare, and with open globes or facial/orbital fractures (all p < .05).

CONCLUSION

Contusion of the eye/adnexa was the most common ocular injury among patients with DV-related ED visits. To better facilitate referrals to social services, ophthalmologists should utilize DV screenings, especially towards women and patients of less privileged socioeconomic status.

Associations between alcohol taxes and varied health outcomes among women of reproductive age and infants

OBJECTIVE

No studies have examined whether alcohol taxes may be relevant for reducing harms related to pregnant people's drinking.

METHOD

We examined how beverage-specific ad valorem, volume-based, and sales taxes are associated with outcomes across three data sets. Drinking outcomes came from women of reproductive age in the 1990-2020 US National Alcohol Surveys (N = 11 659 women $\le$ 44 years); treatment admissions data came from the 1992-2019 Treatment Episode Data Set: Admissions (N = 1331 state-years; 582 436 pregnant women admitted to treatment); and infant and maternal outcomes came from the 2005-19 Merative Marketscan® database (1 432 979 birthing person-infant dyads). Adjusted analyses for all data sets included year fixed effects, state-year unemployment and poverty, and accounted for clustering by state.

RESULTS

Models yield no robust significant associations between taxes and drinking. Increased spirits ad valorem taxes were robustly associated with lower rates of treatment admissions [adjusted IRR = 0.95, 95% CI: 0.91, 0.99]. Increased wine and spirits volume-based taxes were both robustly associated with lower odds of infant morbidities [wine aOR = 0.98, 95% CI: 0.96, 0.99; spirits aOR = 0.99, 95% CI: 0.98, 1.00] and lower odds of severe maternal morbidities [wine aOR = 0.91, 95% CI: 0.86, 0.97; spirits aOR = 0.95, 95% CI: 0.92, 0.97]. Having an off-premise spirits sales tax was also robustly related to lower odds of severe maternal morbidities [aOR = 0.78, 95% CI: 0.64, 0.96].

CONCLUSIONS

Results show protective associations between increased wine and spirits volume-based and sales taxes with infant and maternal morbidities. Policies that index tax rates to inflation might yield more public health benefits, including for pregnant people and infants.

Epidemiologic trends of domestic violence-related ocular injuries among pediatric patients: data from the Nationwide Emergency Department Sample 2008-2017

PURPOSE

To study the epidemiology of all domestic violence (DV)-related ocular injuries among pediatric emergency department (ED) patients in the United States.

METHODS

This is a retrospective, cross-sectional study of isolated children (<18 years of age) with a diagnosis of DV and primary or secondary diagnosis of ocular injuries in the Nationwide Emergency Department Sample, 2008-2017. We calculated annual incidence of DV-related ocular injuries and prevalence by demographic variables, including age, sex, and income quartile. Median charges, median length of inpatient hospital stay, and factors associated with hospitalization were also measured.

RESULTS

From 2008 to 2017, there were 4,125 ED encounters, with an average incidence of 0.56 per 100,000 population (males, 50.0%; mean age [SE], 9.2 [0.3]). Patients in the lowest income quartile (42.6%) and with Medicaid insurance (63.2%) were the most prevalent. The most common known perpetrator was a family member (29.4%). Most ED encounters took place at southern regional (28.6%), metropolitan teaching (67.1%) and designated trauma hospitals (57.8%). Contusion of the eye/adnexa and being struck by or against an object were the most common ocular diagnosis and known mechanism of injury, respectively. An estimated 12.4% of patients were admitted with a median hospital stay of 4 (IQR, 2-6). Median charges during the study period were $27,415.10 (IQR, $13,142.70-$54,454.90).

CONCLUSIONS

DV-related ocular injuries were most prevalent among patients with a low socioeconomic status. Given the historical underreporting of DV, future studies are warranted to identify more specific social determinants of health that contribute to such presentations.

The Measurement of Intimate Partner Violence Using International Classification of Diseases Diagnostic Codes: A Systematic Review

Intimate partner violence (IPV) is challenging to measure yet systematic surveillance of IPV is critical to informing public health prevention and response efforts. Administrative medical data provide opportunities for such surveillance, and often use the International Classification of Diseases (ICD). The primary purpose of this systematic review was to document which ICD codes have been used in empirical literature to identify IPV, understand the justification used to select specific codes to develop IPV case definitions, and identify the data sources and types of research questions addressed by the existing literature. We searched 11 databases and of the initial 2182 results, 21 empirical studies from 2000 to 2020 met the study inclusion criteria including using ICD codes to measure IPV. The majority of these studies (90.5%) used either national samples of data or population-based administrative data from emergency departments (52.4%) or inpatient hospitalizations (38.1%). We found wide variation of ICD diagnostic codes to measure IPV and categorized the sets of codes used based on the number of codes. The most commonly used ICD-9 codes were E967.3, 995.81, 995.80, 995.85 and the most common ICD-10 codes were T74.1 and Z63.0. Few studies validated the ICD codes used to measure IPV. Most included studies (81.0%) answered epidemiological research questions. The current study provides suggestions for future research, including justifying the selection of ICD codes and providing a range of estimates based on narrow and broad sets of codes. Implications for policy and practice, including enhanced training for healthcare professionals in documenting IPV, are discussed.

Association of Pregnancy-Specific Alcohol Policies With Infant Morbidities and Maltreatment

Importance

Research has found associations of pregnancy-specific alcohol policies with increased low birth weight and preterm birth, but associations with other infant outcomes are unknown.

Objective

To examine the associations of pregnancy-specific alcohol policies with infant morbidities and maltreatment.

Design, Setting, and Participants

This retrospective cohort study used outcome data from Merative MarketScan, a national database of private insurance claims. The study cohort included individuals aged 25 to 50 years who gave birth to a singleton between 2006 and 2019 in the US, had been enrolled 1 year before and 1 year after delivery, and could be matched with an infant. Data were analyzed from August 2021 to April 2023.

Exposures

Nine state-level pregnancy-specific alcohol policies obtained from the National Institute on Alcohol Abuse and Alcoholism's Alcohol Policy Information System.

Main Outcomes and Measures

The primary outcomes were 1 or more infant injuries associated with maltreatment and infant morbidities associated with maternal alcohol consumption within the first year. Logistic regression, adjusting for individual-level and state-level controls, and fixed effects for state, year, state-specific time trends, and SEs clustered by state were used.

Results

A total of 1 432 979 birthing person-infant pairs were included (mean [SD] age of birthing people, 32.2 [4.2] years); 30 157 infants (2.1%) had injuries associated with maltreatment, and 44 461 (3.1%) infants had morbidities associated with alcohol use during pregnancy. The policies of Reporting Requirements for Assessment/Treatment (adjusted odds ratio [aOR], 1.28; 95% CI, 1.08-1.52) and Mandatory Warning Signs (aOR, 1.18; 95% CI, 1.10-1.27) were associated with increased odds of infant injuries but not morbidities. Priority Treatment for Pregnant Women Only was associated with decreased odds of infant injuries (aOR, 0.83; 95% CI, 0.76-0.90) but not infant morbidities. Civil Commitment was associated with increased odds of infant injuries (aOR, 1.26; 95% CI, 1.08-1.48) but decreased odds of infant morbidities (aOR, 0.57; 95% CI, 0.53-0.62). Priority Treatment for Pregnant Women and Women With Children was associated with increased odds of both infant injuries (aOR, 1.12; 95% CI, 1.00-1.25) and infant morbidities (aOR, 1.08; 95% CI, 1.03-1.13). Reporting Requirements for Child Protective Services, Reporting Requirements for Data, Child Abuse/Neglect, and Limits on Criminal Prosecution were not associated with infant injuries or morbidities.

Conclusions and Relevance

In this cohort study, most pregnancy-specific alcohol policies were not associated with decreased odds of infant injuries or morbidities. Policy makers should not assume that pregnancy-specific alcohol policies improve infant health.

Family adversity and health characteristics associated with intimate partner violence in children and parents presenting to health care: a population-based birth cohort study in England

BACKGROUND

Little is known about the clinical characteristics of children and parents affected by intimate partner violence (IPV) presenting in health-care settings. We examined the associations between family adversities, health characteristics, and IPV in children and parents using linked electronic health records (EHRs) from primary and secondary care between 1 year before and 2 years after birth (the first 1000 days). We compared parental health problems in in children and parents with and without recorded IPV.

METHODS

We developed a population-based birth cohort of children and parents (aged 14-60 years) in England, comprising linked EHRs from mother-child pairs (with no identified father) and mother-father-child triads. We followed the cohort across general practices (Clinical Practice Research Datalink GOLD), emergency departments, outpatient visits, hospital admissions, and mortality records. Family adversities included 33 clinical indicators of parental mental health problems, parental substance misuse, adverse family environments, and high-risk child maltreatment-related presentations. Parental health problems included 12 common comorbidities, ranging from diabetes and cardiovascular diseases to chronic pain or digestive diseases. We used adjusted and weighted logistic-regression models to estimate the probability of IPV (per 100 children and parents) associated with each adversity, and period prevalences of parental health problems associated with IPV.

FINDINGS

We included 129 948 children and parents, comprising 95 290 (73·3%) mother-father-child triads and 34 658 (26·7%) mother-child pairs only between April 1, 2007, and Jan 29, 2020. An estimated 2689 (2·1%) of 129 948 children and parents (95% CI 2·0-2·3) had recorded IPV and 54 758 (41·2%; 41·5-42·2) had any family adversity between 1 year before and 2 years after birth. All family adversities were significantly associated with IPV. Most parents and children with IPV had recorded adversities (1612 [60·0%] of 2689) before their first IPV recording. The probability of IPV was 0·6 per 100 children and parents (95% CI 0·5-0·6) with no adversity, increasing to 4·4 per 100 children per parents (4·2-4·7) with one adversity, and up to 15·1 per 100 parents and children (13·6-16·5) with three of more adversities. Mothers with IPV had a significantly higher prevalence of both physical (73·4% vs 63·1%, odds ratio [OR] 1·6, 95% CI 1·4-1·8) and mental health problems (58·4% vs 22·2%, OR 4·9, 4·4-5·5) than mothers without IPV. Fathers with IPV had a higher prevalence of mental health problems (17·8% vs 7·1%, OR 2·8, 2·4-3·2) and similar prevalences of physical health problems than those without IPV (29·6% vs 32·4%, OR 0·9, 0·8-1·0).

INTERPRETATION

Two in five of the children and parents presenting to health care had recorded parental mental health problems, parental substance misuse, adverse family environments, or high-risk presentations of maltreatment in the first 1000 days. One in 22 children and parents with family adversity also had recorded IPV before age 2 years. Primary and secondary care staff should safely ask about IPV when parents or children present with family adversity or health problems associated with IPV, and respond appropriately.

FUNDING

NIHR Policy Research Programme.

The quality of vital signs measurements and value preferences in electronic medical records varies by hospital, specialty, and patient demographics

We aimed to assess the frequency of value preferences in recording of vital signs in electronic healthcare records (EHRs) and associated patient and hospital factors. We used EHR data from Oxford University Hospitals, UK, between 01-January-2016 and 30-June-2019 and a maximum likelihood estimator to determine the prevalence of value preferences in measurements of systolic and diastolic blood pressure (SBP/DBP), heart rate (HR) (readings ending in zero), respiratory rate (multiples of 2 or 4), and temperature (readings of 36.0 °C). We used multivariable logistic regression to investigate associations between value preferences and patient age, sex, ethnicity, deprivation, comorbidities, calendar time, hour of day, days into admission, hospital, day of week and speciality. In 4,375,654 records from 135,173 patients, there was an excess of temperature readings of 36.0 °C above that expected from the underlying distribution that affected 11.3% (95% CI 10.6-12.1%) of measurements, i.e. these observations were likely inappropriately recorded as 36.0 °C instead of the true value. SBP, DBP and HR were rounded to the nearest 10 in 2.2% (1.4-2.8%) and 2.0% (1.3-5.1%) and 2.4% (1.7-3.1%) of measurements. RR was also more commonly recorded as multiples of 2. BP digit preference and an excess of temperature recordings of 36.0 °C were more common in older and male patients, as length of stay increased, following a previous normal set of vital signs and typically more common in medical vs. surgical specialities. Differences were seen between hospitals, however, digit preference reduced over calendar time. Vital signs may not always be accurately documented, and this may vary by patient groups and hospital settings. Allowances and adjustments may be needed in delivering care to patients and in observational analyses and predictive tools using these factors as outcomes or exposures.

Leveraging Administrative Data to Better Understand and Address Child Maltreatment: A Scoping Review of Data Linkage Studies

BACKGROUND

This scoping review aimed to overview studies that used administrative data linkage in the context of child maltreatment to improve our understanding of the value that data linkage may confer for policy, practice, and research.

METHODS

We searched MEDLINE, Embase, PsycINFO, CINAHL, and ERIC electronic databases in June 2019 and May 2020 for studies that linked two or more datasets (at least one of which was administrative in nature) to study child maltreatment. We report findings with numerical and narrative summary.

RESULTS

We included 121 studies, mainly from the United States or Australia and published in the past decade. Data came primarily from social services and health sectors, and linkage processes and data quality were often not described in sufficient detail to align with current reporting guidelines. Most studies were descriptive in nature and research questions addressed fell under eight themes: descriptive epidemiology, risk factors, outcomes, intergenerational transmission, predictive modelling, intervention/service evaluation, multi-sector involvement, and methodological considerations/advancements.

CONCLUSIONS

Included studies demonstrated the wide variety of ways in which data linkage can contribute to the public health response to child maltreatment. However, how research using linked data can be translated into effective service development and monitoring, or targeting of interventions, is underexplored in terms of privacy protection, ethics and governance, data quality, and evidence of effectiveness.

Identifying adverse childhood experiences with electronic health records of linked mothers and children in England: a multistage development and validation study

BACKGROUND

Electronic health records (EHRs) of mothers and children provide an opportunity to identify adverse childhood experiences (ACEs) during crucial periods of childhood development, yet well developed indicators of ACEs remain scarce. We aimed to develop clinically relevant indicators of ACEs for linked EHRs of mothers and children using a multistage prediction model of child maltreatment and maternal intimate partner violence (IPV).

METHODS

In this multistage development and validation study, we developed a representative population-based birth cohort of mothers and children in England, followed from up to 2 years before birth to up to 5 years after birth across the Clinical Practice Research Datalink (CPRD) GOLD (primary care), Hospital Episode Statistics (secondary care), and the Office for National Statistics mortality register. We included livebirths in England between July 1, 2004, and June 30, 2016, to mothers aged 16-55 years, who had registered with a general practitioner (GP) that met CPRD quality standards before 21 weeks of gestation. The primary outcome (reference standard) was any child maltreatment or maternal IPV in either the mother's or child's record from 2 years before birth (maternal IPV only) to 5 years after birth. We used seven prediction models, combined with expert ratings, to systematically develop indicators. We validated the final indicators by integrating results from machine learning models, survival analyses, and clustering analyses in the validation cohort.

FINDINGS

We included data collected between July 1, 2002, and June 27, 2018. Of 376 006 eligible births, we included 211 393 mother-child pairs (422 786 patients) from 400 practices, of whom 126 837 mother-child pairs (60·0%; 240 practices) were randomly assigned to a derivation cohort and 84 556 pairs (40·0%; 160 practices) to a validation cohort. We included 63 indicators in six ACE domains: maternal mental health problems, maternal substance misuse, adverse family environments, child maltreatment, maternal IPV, and high-risk presentations of child maltreatment. Excluding the seven indicators in the reference standard, 56 indicators showed high discriminative validity for the reference standard of any child maltreatment or maternal IPV between 2 years before and 5 years after birth (validation cohort, area under the receiver operating characteristic curve 0·85 [95% CI 0·84-0·86]). During the 2 years before birth and 5 years after birth, the overall period prevalence of maternal IPV and child maltreatment (reference standard) was 2·3% (2876 of 126 837 pairs) in the derivation cohort and 2·3% (1916 of 84 556 pairs) in the validation cohort. During the 2 years before and after birth, the period prevalence was 39·1% (95% CI 38·7-39·5; 34 773 pairs) for any of the 63 ACE indicators, 22·2% (21·8-22·5%; 20 122 pairs) for maternal mental health problems, 15·7% (15·4-16·0%; 14 549 pairs) for adverse family environments, 8·1% (7·8-8·3%; 6808 pairs) for high-risk presentations of child maltreatment, 6·9% (6·7-7·2%; 7856 pairs) for maternal substance misuse, and 3·0% (2·9-3·2%; 2540 pairs) for any child maltreatment (2·4% [2·3-5·6%; 2051 pairs]) and maternal IPV (1·0% [0·8-1·0%; 875 pairs]). 62·6% (21 785 of 34 773 pairs) of ACEs were recorded in primary care only, and 72·3% (25 140 cases) were recorded in the maternal record only.

INTERPRETATION

We developed clinically relevant indicators for identifying ACEs using the EHRs of mothers and children presenting to general practices and hospital admissions. Over 70% of ACEs were identified via maternal records and were recorded in primary care by GPs within 2 years of birth, reinforcing the importance of reviewing parental and carer records to inform clinical responses to children. ACE indicators can contribute to longitudinal surveillance informing public health policy and resource allocation. Further evaluation is required to determine how ACE indicators can be used in clinical practice.

FUNDING

None.

The risk of COVID-19 in survivors of domestic violence and abuse

A 'shadow pandemic' of domestic violence and abuse (DVA) has emerged secondary to strict public health measures containing the spread of SARS-CoV-2. Many countries have implemented policies to allow the free movement of DVA survivors in attempts to minimise their exposure to abusive environments. Although these policies are well received, as a result there is a possibility of increased COVID-19 transmission within this vulnerable group who are not currently prioritised for vaccination. Therefore, we aimed to compare the risk of developing suspected or confirmed COVID-19 in women (aged over 16 years) exposed to DVA against age-sex-matched unexposed controls, following adjustment for known COVID-19 risk factors. A population-based retrospective open cohort study was undertaken between the 31 January 2020 and 28 February 2021 using 'The Health Improvement Network' database. We identified 10,462 eligible women exposed to DVA who were matched to 41,467 similarly aged unexposed women. Following adjustment for key covariates, women exposed to DVA were at an increased risk (aHR 1.57; 95% CI 1.29-1.90) of suspected/confirmed COVID-19 compared to unexposed women. These findings support previous calls for positive policy action improving DVA surveillance and prioritising survivors for COVID-19 vaccination.

Digital Data Sources and Their Impact on People's Health: A Systematic Review of Systematic Reviews

Background: Digital data sources have become ubiquitous in modern culture in the era of digital technology but often tend to be under-researched because of restricted access to data sources due to fragmentation, privacy issues, or industry ownership, and the methodological complexity of demonstrating their measurable impact on human health. Even though new big data sources have shown unprecedented potential for disease diagnosis and outbreak detection, we need to investigate results in the existing literature to gain a comprehensive understanding of their impact on and benefits to human health.

Objective: A systematic review of systematic reviews on identifying digital data sources and their impact area on people's health, including challenges, opportunities, and good practices.

Methods: A multidatabase search was performed. Peer-reviewed papers published between January 2010 and November 2020 relevant to digital data sources on health were extracted, assessed, and reviewed.

Results: The 64 reviews are covered by three domains, that is, universal health coverage (UHC), public health emergencies, and healthier populations, defined in WHO's General Programme of Work, 2019–2023, and the European Programme of Work, 2020–2025. In all three categories, social media platforms are the most popular digital data source, accounting for 47% (N = 8), 84% (N = 11), and 76% (N = 26) of studies, respectively. The second most utilized data source are electronic health records (EHRs) (N = 13), followed by websites (N = 7) and mass media (N = 5). In all three categories, the most studied impact of digital data sources is on prevention, management, and intervention of diseases (N = 40), and as a tool, there are also many studies (N = 10) on early warning systems for infectious diseases. However, they could also pose health hazards (N = 13), for instance, by exacerbating mental health issues and promoting smoking and drinking behavior among young people.

Conclusions: The digital data sources presented are essential for collecting and mining information about human health. The key impact of social media, electronic health records, and websites is in the area of infectious diseases and early warning systems, and in the area of personal health, that is, on mental health and smoking and drinking prevention. However, further research is required to address privacy, trust, transparency, and interoperability to leverage the potential of data held in multiple datastores and systems. This study also identified the apparent gap in systematic reviews investigating the novel big data streams, Internet of Things (IoT) data streams, and sensor, mobile, and GPS data researched using artificial intelligence, complex network, and other computer science methods, as in this domain systematic reviews are not common.