Primary Care Interventions to Prevent Child Maltreatment: Evidence Report and Systematic Review for the US Preventive Services Task Force.

Importance: Child maltreatment is associated with serious negative physical, psychological, and behavioral consequences. Objective: To review the evidence on primary care-feasible or referable interventions to prevent child maltreatment to inform the US Preventive Services Task Force. Data Sources: PubMed, Cochrane Library, and trial registries through February 2, 2023; references, experts, and surveillance through December 6, 2023. Study Selection: English-language, randomized clinical trials of youth through age 18 years (or their caregivers) with no known exposure or signs or symptoms of current or past maltreatment. Data Extraction and Synthesis: Two reviewers assessed titles/abstracts, full-text articles, and study quality, and extracted data; when at least 3 similar studies were available, meta-analyses were conducted. Main Outcomes and Measures: Directly measured reports of child abuse or neglect (reports to Child Protective Services or removal of the child from the home); proxy measures of abuse or neglect (injury, visits to the emergency department, hospitalization); behavioral, developmental, emotional, mental, or physical health and well-being; mortality; harms. Results: Twenty-five trials (N = 14 355 participants) were included; 23 included home visits. Evidence from 11 studies (5311 participants) indicated no differences in likelihood of reports to Child Protective Services within 1 year of intervention completion (pooled odds ratio, 1.03 [95% CI, 0.84-1.27]). Five studies (3336 participants) found no differences in removal of the child from the home within 1 to 3 years of follow-up (pooled risk ratio, 1.06 [95% CI, 0.37-2.99]). The evidence suggested no benefit for emergency department visits in the short term (<2 years) and hospitalizations. The evidence was inconclusive for all other outcomes because of the limited number of trials on each outcome and imprecise results. Among 2 trials reporting harms, neither reported statistically significant differences. Contextual evidence indicated (1) widely varying practices when screening, identifying, and reporting child maltreatment to Child Protective Services, including variations by race or ethnicity; (2) widely varying accuracy of screening instruments; and (3) evidence that child maltreatment interventions may be associated with improvements in some social determinants of health. Conclusion and Relevance: The evidence base on interventions feasible in or referable from primary care settings to prevent child maltreatment suggested no benefit or insufficient evidence for direct or proxy measures of child maltreatment. Little information was available about possible harms. Contextual evidence pointed to the potential for bias or inaccuracy in screening, identification, and reporting of child maltreatment but also highlighted the importance of addressing social determinants when intervening to prevent child maltreatment.

Definitions, terminology, and related concepts of "racial health equity": a scoping review protocol.

BACKGROUND: In the USA, access to quality healthcare varies greatly across racial and ethnic groups, resulting in significant health disparities. A new term, "racial health equity" (RHE), is increasingly reported in the medical literature, but there is currently no consensus definition of the term. Additionally, related terms such as "health disparities," "health inequities," and "equality" have been inconsistently used when defining RHE. METHODS: The primary purpose of this scoping review is to investigate the current use and underlying concepts used to define racial health equity. The study will address two key questions: (1) "What terminology and definitions have been used to characterize RHE?" and (2) "What knowledge gaps and challenges are present in the current state of RHE research and theory?" The review will collect and analyze data from three sources: (1) websites from key national and international health organizations, (2) theoretical and narrative published articles, and (3) evidence synthesis studies addressing interventions targeting racial health equity and minority stakeholder engagement. DISCUSSION: Defining "racial health equity" and related terminology is the first step to advancing racial health equity within the USA. This review aims to offer an improved understanding of RHE constructs and definitions, bringing greater unity to national racial health equity research efforts across disciplines. SYSTEMATIC REVIEW REGISTRATION: This protocol is registered with the Open Science Framework at https://osf.io/7pvzq .

Racial Health Equity and Social Needs Interventions: A Review of a Scoping Review.

Importance: Social needs interventions aim to improve health outcomes and mitigate inequities by addressing health-related social needs, such as lack of transportation or food insecurity. However, it is not clear whether these studies are reducing racial or ethnic inequities. Objective: To understand how studies of interventions addressing social needs among multiracial or multiethnic populations conceptualize and analyze differential intervention outcomes by race or ethnicity. Evidence Review: Sources included a scoping review of systematic searches of PubMed and the Cochrane Library from January 1, 1995, through November 29, 2021, expert suggestions, and hand searches of key citations. Eligible studies evaluated interventions addressing social needs; reported behavioral, health, or utilization outcomes or harms; and were conducted in multiracial or multiethnic populations. Two reviewers independently assessed titles, abstracts, and full text for inclusion. The team developed a framework to assess whether the study was "conceptually thoughtful" for understanding root causes of racial health inequities (ie, noted that race or ethnicity are markers of exposure to racism) and whether analyses were "analytically informative" for advancing racial health equity research (ie, examined differential intervention impacts by race or ethnicity). Findings: Of 152 studies conducted in multiracial or multiethnic populations, 44 studies included race or ethnicity in their analyses; of these, only 4 (9%) were conceptually thoughtful. Twenty-one studies (14%) were analytically informative. Seven of 21 analytically informative studies reported differences in outcomes by race or ethnicity, whereas 14 found no differences. Among the 7 that found differential outcomes, 4 found the interventions were associated with improved outcomes for minoritized racial or ethnic populations or reduced inequities between minoritized and White populations. No studies were powered to detect differences. Conclusions and Relevance: In this review of a scoping review, studies of social needs interventions in multiracial or multiethnic populations were rarely conceptually thoughtful for understanding root causes of racial health inequities and infrequently conducted informative analyses on intervention effectiveness by race or ethnicity. Future work should use a theoretically sound conceptualization of how race (as a proxy for racism) affects social drivers of health and use this understanding to ensure social needs interventions benefit minoritized racial and ethnic groups facing social and structural barriers to health.

Exploring Biologic Predictors Response Disparities to Atypical Antipsychotics among Blacks: A Quasi-Systematic Review.

Purpose: Management of schizophrenia among Blacks in the United States is affected by persistent disparities. This review explored response to atypical antipsychotics among Blacks compared with other groups to assess systematic variation that may contribute to disparities. Methods: We conducted a quasi-systematic review of studies reporting response to atypical antipsychotics among Blacks compared with other groups, including effects of genetic variation. Results: Of 48 identified research articles, 29 assessed differences in outcomes without inclusion of genetic variation and 20 explored effects of genetic variation; of note: one article included both types of data. Analysis of the 29 papers with clinical outcomes only suggests that while data on efficacy and risk of movement disorders were heterogeneous, findings indicate increased risk of metabolic effects and neutropenia among Blacks. Of the 20 articles exploring effects of genetic variation, allelic or genotypic variations involving several genes were associated with altered efficacy or safety among Blacks but not Whites, including risk of decreased response involving variation in DRD4 and DRD1, and improved efficacy associated with variants in DRD2, COMT, and RGS4. Others showed significant improvement in treatment response only among Whites, including variation in DTNBP1, DRD4, and GNB3. Conclusions: The current analysis can help tailor management among Blacks using an atypical antipsychotic. Heterogeneity in genetic variation effects and response allele frequency suggests that pharmacogenetics approaches for atypical antipsychotics will need to explicitly incorporate race and ethnicity.

Methods for systematic reviews of administrative database studies capturing health outcomes of interest.

This report provides an overview of methods used to conduct systematic reviews for the US Food and Drug Administration (FDA) Mini-Sentinel project, which is designed to inform the development of safety monitoring tools for FDA-regulated products including vaccines. The objective of these reviews was to summarize the literature describing algorithms (e.g., diagnosis or procedure codes) to identify health outcomes in administrative and claims data. A particular focus was the validity of the algorithms when compared to reference standards such as diagnoses in medical records. The overarching goal was to identify algorithms that can accurately identify the health outcomes for safety surveillance. We searched the MEDLINE database via PubMed and required dual review of full text articles and of data extracted from studies. We also extracted data on each study's methods for case validation. We reviewed over 5600 abstracts/full text studies across 15 health outcomes of interest. Nearly 260 studies met our initial criteria (conducted in the US or Canada, used an administrative database, reported case-finding algorithm). Few studies (N=45), however, reported validation of case-finding algorithms (sensitivity, specificity, positive or negative predictive value). Among these, the most common approach to validation was to calculate positive predictive values, based on a review of medical records as the reference standard. Of the studies reporting validation, the ease with which a given clinical condition could be identified in administrative records varied substantially, both by the clinical condition and by other factors such as the clinical setting, which relates to the disease prevalence.

A systematic review of validated methods to capture several rare conditions using administrative or claims data.

PURPOSE: To identify and assess billing, procedural, or diagnosis code, or pharmacy claim-based algorithms used to identify the following health outcomes in administrative and claims databases: acute disseminated encephalomyelitis (ADEM), optic neuritis, tics, and Henoch Schönlein purpura (HSP). METHODS: We searched the MEDLINE database from 1991 to September 2012 using controlled vocabulary and key terms related to the conditions. We also searched the reference lists of included studies. Two investigators independently assessed the full text of studies against pre-determined inclusion criteria and extracted case validation data from those studies meeting inclusion criteria. RESULTS: Two eligible studies addressed ADEM, two addressed optic neuritis, and four studies addressed tics. Only one study addressed HSP. Among these, one study of ADEM reported a positive predictive value of 66%, however the identification algorithm contained a combination of International Classification of Diseases (ICD) codes and other identification methods and the performance of the ICD-9 codes alone was not reported. No other studies reported validation data. CONCLUSIONS: The lack of data on the validity of algorithms to identify these conditions may hamper our ability to determine incidence patterns with respect to infection and vaccination exposures. Further epidemiologic research to define validated methods of identifying cases could improve surveillance using large linked healthcare databases.

A systematic review of validated methods for identifying Kawasaki disease using administrative or claims data.

PURPOSE: To identify and assess algorithms used to identify Kawasaki syndrome/Kawasaki disease in administrative and claims databases. METHODS: We searched the MEDLINE database from 1991 to September 2012 using controlled vocabulary and key terms related to Kawasaki disease. We also searched the reference lists of included studies. Two investigators independently assessed the full text of studies against pre-determined inclusion criteria. Two reviewers independently extracted data regarding participant and algorithm characteristics. RESULTS: Our searches identified 177 citations of which 22 met our inclusion criteria. All studies used algorithms including International Classification of Diseases, Ninth Revision (ICD-9) code 446.1 either alone, or with evidence of intravenous immunoglobulin (IVIG) administration, or with ICD-10 code M30.3. Six studies confirmed diagnoses by medical chart review. Three of these six studies reported validation statistics, with positive predictive values of 74%, 84%, and 86%, respectively. CONCLUSIONS: All studies that reported algorithms used either the ICD-9 code 446.1 either alone, with evidence of IVIG administration or with ICD-10 code M30.3. The ICD-9 code 446.1 alone produced positive predictive values of 74%, 84%, and 86% in separate studies in Georgia and California. The sensitivity of these codes to detect Kawasaki disease is unknown, as no sampling of medical records for missed true cases of Kawasaki disease was done. Further research would be helpful to determine whether the relatively high positive predictive values found in southern California are seen elsewhere and also to evaluate the performance of other codes to identify cases of Kawasaki disease and the sensitivity of the narrow algorithms that have been used to date.

A systematic review of validated methods to capture myopericarditis using administrative or claims data.

PURPOSE: To identify algorithms that can capture incident cases of myocarditis and pericarditis in administrative and claims databases; these algorithms can eventually be used to identify cardiac inflammatory adverse events following vaccine administration. METHODS: We searched MEDLINE from 1991 to September 2012 using controlled vocabulary and key terms related to myocarditis. We also searched the reference lists of included studies. Two investigators independently assessed the full text of studies against pre-determined inclusion criteria. Two reviewers independently extracted data regarding participant and algorithm characteristics as well as study conduct. RESULTS: Nine publications (including one study reported in two publications) met criteria for inclusion. Two studies performed medical record review in order to confirm that these coding algorithms actually captured patients with the disease of interest. One of these studies identified five potential cases, none of which were confirmed as acute myocarditis upon review. The other study, which employed a search algorithm based on diagnostic surveillance (using ICD-9 codes 420.90, 420.99, 422.90, 422.91 and 429.0) and sentinel reporting, identified 59 clinically confirmed cases of myopericarditis among 492,671 United States military service personnel who received smallpox vaccine between 2002 and 2003. Neither study provided algorithm validation statistics (positive predictive value, sensitivity, or specificity). CONCLUSIONS: A validated search algorithm is currently unavailable for identifying incident cases of pericarditis or myocarditis. Several authors have published unvalidated ICD-9-based search algorithms that appear to capture myocarditis events occurring in the context of other underlying cardiac or autoimmune conditions.

A systematic review of validated methods for identifying systemic lupus erythematosus (SLE) using administrative or claims data.

PURPOSE: To examine the validity of billing, procedural, or diagnosis code, or pharmacy claim-based algorithms used to identify patients with systemic lupus erythematosus (SLE) in administrative and claims databases. METHODS: We searched the MEDLINE database from 1991 to September 2012 using controlled vocabulary and key terms related to SLE. We also searched the reference lists of included studies. Two investigators independently assessed the full text of studies against pre-determined inclusion criteria. The two reviewers independently extracted data regarding participant and algorithm characteristics and assessed a study's methodologic rigor using a pre-defined approach. RESULTS: Twelve studies included validation statistics for the identification of SLE in administrative and claims databases. Seven of these studies used the ICD-9 code of 710.0 in selected populations of patients seen by a rheumatologist or patients who had experienced the complication of SLE-associated nephritis, other kidney disease, or pregnancy. The other studies looked at limited data in general populations. The algorithm in the selected populations had a positive predictive value (PPV) in the range of 70-90% and of the limited data in general populations it was in the range of 50-60%. CONCLUSIONS: Few studies use rigorous methods to validate an algorithm for the identification of SLE in general populations. Algorithms including ICD-9 code of 710.0 in physician billing and hospitalization records have a PPV of approximately 60%. A requirement that the code is obtained from a record based on treatment by a rheumatologist increases the PPV of the algorithm but limits the generalizability in the general population.

A systematic review of validated methods to capture stillbirth and spontaneous abortion using administrative or claims data.

PURPOSE: To identify and assess diagnosis, procedure and pharmacy dispensing codes used to identify stillbirths and spontaneous abortion in administrative and claims databases from the United States or Canada. METHODS: We searched the MEDLINE database from 1991 to September 2012 using controlled vocabulary and key terms related to stillbirth or spontaneous abortion. We also searched the reference lists of included studies. Two investigators independently assessed the full text of studies against pre-determined inclusion criteria. Two reviewers independently extracted data regarding participant and algorithm characteristics and assessed each study's methodological rigor using a pre-defined approach. RESULTS: Ten publications addressing stillbirth and four addressing spontaneous abortion met our inclusion criteria. The International Classification of Diseases, Ninth Revision (ICD-9) codes most commonly used in algorithms for stillbirth were those for intrauterine death (656.4) and stillborn outcomes of delivery (V27.1, V27.3-V27.4, and V27.6-V27.7). Papers identifying spontaneous abortion used codes for missed abortion and spontaneous abortion: 632, 634.x, as well as V27.0-V27.7. Only two studies identifying stillbirth reported validation of algorithms. The overall positive predictive value of the algorithms was high (99%-100%), and one study reported an algorithm with 86% sensitivity. However, the predictive value of individual codes was not assessed and study populations were limited to specific geographic areas. CONCLUSIONS: Additional validation studies with a nationally representative sample are needed to confirm the optimal algorithm to identify stillbirths or spontaneous abortion in administrative and claims databases.'

Benchmarking information needs and use in the Tennessee public health community.

OBJECTIVE: The objective is to provide insight to understanding public health officials' needs and promote access to data repositories and communication tools. METHODS: Survey questions were identified by a focus group with members drawn from the fields of librarianship, public health, and informatics. The resulting comprehensive information needs survey, organized in five distinct broad categories, was distributed to 775 Tennessee public health workers from ninety-five counties in 1999 as part of the National Library of Medicine-funded Partners in Information Access contract. RESULTS: The assessment pooled responses from 571 public health workers (73% return rate) representing seventy-two of ninety-five counties (53.4% urban and 46.6% rural) about their information-seeking behaviors, frequency of resources used, computer skills, and level of Internet access. Sixty-four percent of urban and 43% of rural respondents had email access at work and more than 50% of both urban and rural respondents had email at home (N = 289). Approximately 70% of urban and 78% of rural public health officials never or seldom used or needed the Centers for Disease Control (CDC) Website. Frequency data pooled from eleven job categories representing a subgroup of 232 health care professionals showed 72% never or seldom used or needed MEDLINE. Electronic resources used daily or weekly were email, Internet search engines, internal databases and mailing lists, and the Tennessee Department of Health Website. CONCLUSIONS: While, due to the small sample size, data cannot be generalized to the larger population, a clear trend of significant barriers to computer and Internet access can be identified across the public health community. This contributes to an overall limited use of existing electronic resources that inhibits evidence-based practice.