Development of a Health Disparities Index: Proof of Concept with Chest Radiography in Asthma

Racial and ethnic disparities in diagnostic imaging for child physical abuse

IMPORTANCE

Racial bias may affect occult injury testing decisions for children with concern for abuse.

OBJECTIVES

To determine the association of race on occult injury testing decisions at children's hospitals.

DESIGN

In this retrospective study, we measured disparities in: (1) the proportion of visits for which indicated diagnostic imaging studies for child abuse were obtained; (2) the proportion of positive tests.

SETTING

The Pediatric Health Information System (PHIS) administrative database encompassing 49 tertiary children's hospitals during 2017-2019.

PARTICIPANTS

We built three cohorts based on guidelines for diagnostic testing for child abuse: infants with traumatic brain injury (TBI; n = 1952), children <2 years old with extremity fracture (n = 20,842), and children <2 years old who received a skeletal survey (SS; n = 13,081).

MAIN OUTCOMES AND MEASURES

For each group we measured: (1) the odds of receiving a specific guideline-recommended diagnostic imaging study; (2) among those with the indicated imaging study, the odds of an abuse-related injury diagnosis. We calculated both unadjusted and adjusted odds ratios (AOR) by race and ethnicity, adjusting for sex, age in months, payor, and hospital.

RESULTS

In infants with TBI, the odds of receiving a SS did not differ by racial group. Among those with a SS, the odds of rib fracture were higher for non-Hispanic Black than Hispanic (AOR 2.05 (CI 1.31, 3.2)) and non-Hispanic White (AOR 1.57 (CI 1.11, 2.32)) patients. In children with extremity fractures, the odds of receiving a SS were higher for non-Hispanic Black than Hispanic and non-Hispanic White patients (AOR 1.97 (CI 1.74, 2.23)); (AOR 1.17 (CI 1.05, 1.31)), respectively, and lower for Hispanic than non-Hispanic White patients (AOR 0.59 (CI 0.53, 0.67)). Among those receiving a SS, the rate of rib fractures did not differ by race. In children with skeletal surveys, the odds of receiving neuroimaging did not differ by race. Among those with neuroimaging, the odds of a non-fracture, non-concussion TBI were lower in non-Hispanic Black than Hispanic patients (AOR 0.7 (CI 0.57, 0.86)) and were higher among Hispanic than non-Hispanic White patients (AOR 1.23 (CI 1.02, 1.47)).

CONCLUSIONS AND RELEVANCE

We did not identify a consistent pattern of race-based disparities in occult injury testing when considering the concurrent yield for abuse-related injuries.

Disparities in Racial, Ethnic, and Payer Groups for Pediatric Safety Events in US Hospitals

BACKGROUND AND OBJECTIVES

Health care disparities are pervasive, but little is known about disparities in pediatric safety. We analyzed a national sample of hospitalizations to identify disparities in safety events.

METHODS

In this population-based, retrospective cohort study of the 2019 Kids' Inpatient Database, independent variables were race, ethnicity, and payer. Outcomes were Agency for Healthcare Research and Quality pediatric safety indicators (PDIs). Risk-adjusted odds ratios were calculated using white and private payer reference groups. Differences by payer were evaluated by stratifying race and ethnicity.

RESULTS

Race and ethnicity of the 5 243 750 discharged patients were white, 46%; Hispanic, 19%; Black, 15%; missing, 8%; other race/multiracial, 7%, Asian American/Pacific Islander, 5%; and Native American, 1%. PDI rates (per 10 000 discharges) were 331.4 for neonatal blood stream infection, 267.5 for postoperative respiratory failure, 114.9 for postoperative sepsis, 29.5 for postoperative hemorrhage/hematoma, 5.6 for central-line blood stream infection, 3.5 for accidental puncture/laceration, and 0.7 for iatrogenic pneumothorax. Compared with white patients, Black and Hispanic patients had significantly greater odds in 5 of 7 PDIs; the largest disparities occurred in postoperative sepsis (adjusted odds ratio, 1.55 [1.38-1.73]) for Black patients and postoperative respiratory failure (adjusted odds ratio, 1.34 [1.21-1.49]) for Hispanic patients. Compared with privately insured patients, Medicaid-covered patients had significantly greater odds in 4 of 7 PDIs; the largest disparity occurred in postoperative sepsis (adjusted odds ratios, 1.45 [1.33-1.59]). Stratified analyses demonstrated persistent disparities by race and ethnicity, even among privately insured children.

CONCLUSIONS

Disparities in safety events were identified for Black and Hispanic children, indicating a need for targeted interventions to improve patient safety in the hospital.

Racial and ethnic inequities in the quality of paediatric care in the USA: a review of quantitative evidence

Racial and ethnic inequities in paediatric care have received increased research attention over the past two decades, particularly in the past 5 years, alongside an increased societal focus on racism. In this Series paper, the first in a two-part Series focused on racism and child health in the USA, we summarise evidence on racial and ethnic inequities in the quality of paediatric care. We review studies published between Jan 1, 2017 and July 31, 2022, that are adjusted for or stratified by insurance status to account for group differences in access, and we exclude studies in which differences in access are probably driven by patient preferences or the appropriateness of intervention. Overall, the literature reveals widespread patterns of inequitable treatment across paediatric specialties, including neonatology, primary care, emergency medicine, inpatient and critical care, surgery, developmental disabilities, mental health care, endocrinology, and palliative care. The identified studies indicate that children from minoritised racial and ethnic groups received poorer health-care services relative to non-Hispanic White children, with most studies drawing on data from multiple sites, and accounting for indicators of family socioeconomic position and clinical characteristics (eg, comorbidities or condition severity). The studies discussed a range of potential causes for the observed disparities, including implicit biases and differences in site of care or clinician characteristics. We outline priorities for future research to better understand and address paediatric treatment inequities and implications for practice and policy. Policy changes within and beyond the health-care system, discussed further in the second paper of this Series, are essential to address the root causes of treatment inequities and to promote equitable and excellent health for all children.

Measuring multi-dimensional disparity index: A case of Nepal

This study introduces Multi-dimensional Disparity Index (MDI) to measure multi-form of disparity in different level of governments referencing Nepal. The measurement scale of MDI was developed by adopting Santos and Alkire's (2011) approaches. A wide range of thematic experts was consulted, employing the Semi-Delphi approach to determine its dimensions and indicators. The MDI in this study includes six dimensions and 34 indicators composited with dimension-wise indices like Economy Disparity Index [ECODI], Educational Disparity Index [EDUDI], Health Disparity Index [HDI], Geography and Climatic Vulnerability Index [GCVI], Living Standard Disparity Index [LSDI], and Demography Disparity Index [DDI]. Overall, the study revealed the extent of multi-dimensional disparity across three tiers of government in Nepal. More specifically, Nepal scored 0.388 MDI value. Karnali and Bagmati provinces are accounted as the highest and least deprived. This study contributes essential knowledge, particularly in exploring the dimensions and their indicators and develops an approach to measure multi-dimensional disparities. Most existing approaches for assessing disparities are mono-dimensional and measure the disparities in a single aspect. In this context, MDI provides a broader approach to consider multiple dimensions and measures multiple aspects in a country like Nepal, where disparity manifests at multiple levels.

Toward Improving Patient Equity in a Pediatric Emergency Department: A Framework for Implementation

Disparities in health care delivery and health outcomes for patients in the emergency department (ED) by race, ethnicity, and language for care (REaL) are common and well documented. Addressing inequities from structural racism, implicit bias, and language barriers can be challenging, and there is a lack of data on effective interventions. We describe the implementation of a multifaceted equity improvement strategy in a pediatric ED using Kotter's model for change as a framework to identify the key drivers. The main elements included a data dashboard with quality metrics stratified by patient self-reported REaL to visualize disparities, a staff workshop on implicit bias and microaggressions, and several clinical and operational tools that highlight equity. Our next steps include refining and repeating interventions and tracking important patient outcomes, including timely pain treatment, triage assessment, diagnostic evaluations, and interpreter use, with the overall goal of improving patient equity by REaL over time. This article presents a roadmap for a disparity reduction intervention, which can be part of a multifaceted approach to address health equity in EDs.

The role of Human Development Index in the epidemiology of asthma in adolescents in Kosovo: A cross-sectional multicentre Global Asthma Network (GAN) study

BACKGROUND

Very limited information is available on the prevalence and risk factors of asthma in adolescents in Kosovo, and no study has previously addressed the role of Human Development Index (HDI) on asthma in the region. The present study addresses these two issues.

METHODS

Following the Global Asthma Network (GAN) methodology, a cross-sectional survey, through standardised self-completed questionnaires, was conducted in the following six centres of Kosovo: Ferizaj, Gjakova, Gjilan, Peja, Prishtina and Prizren. Current asthma symptoms (CAS) and severe current asthma symptoms (sCAS) were defined according to the GAN standards. Environmental questionnaire inquired about gender, exercise, screening time, siblings, truck traffic, use of paracetamol, pet ownership, and smoking habits. Height and weight were also measured. Multivariate logistic regression analyses were performed in each centre along with meta-analyses to summarise the overall effects of each factor in the centres as a whole. Meta-regression of the prevalence rates was calculated using HDI as a moderator.

RESULTS

Participation rate was high (80.0-99.9%). Prevalence of CAS ranged from 4.6% to 11.3%, and sCAS from 1.7% to 4.5%. Factors associated with CAS were exercise, computer time, paracetamol use and dog ownership. sCAS was associated with paracetamol use and physical exercise. HDI explained 46% and 80% of prevalence variability of CAS and sCAS between centres, respectively.

CONCLUSIONS

Prevalence of CAS and sCAS in Kosovo varies highly between centres. This variability is explained partly by HDI. Individual risk factors are common, with some determined in other studies conducted in other regions.