Agency For Healthcare Research And Quality Research Articles

Incidence and risk factors of neonatal hypothermia: A systematic review and meta-analysis.

Hypothermia poses a threat to the health and lives of newborns. Therefore, it is essential to identify the factors that influence neonatal hypothermia and provide targeted intervention suggestions for clinical practice to reduce its occurrence. We conducted a literature search to identify factors influencing neonatal hypothermia and performed a meta-analysis to determine the prevalence of neonatal hypothermia and its associated factors. The Newcastle-Ottawa Scale (NOS) was used to assess the quality of cohort and case-control studies, while the Agency for Healthcare Research and Quality (AHRQ) was used to evaluate the quality of cross-sectional studies. Eighteen studies involving 44 532 newborns from 13 countries were included. The incidence of neonatal hypothermia was 52.5% (95% CI: 0.37, 0.68). Factors such as no skin-to-skin contact, prematurity, low birth weight, delayed breastfeeding, asphyxiation and resuscitation after birth, low APGAR score, not wearing a cap, and caesarean section were found to affect neonatal hypothermia. Multiple factors influence neonatal hypothermia, and clinicians can utilise these factors to develop targeted intervention measures to prevent and reduce the incidence of neonatal hypothermia.

100 The Impact of Race and Social Determinants of Health on Clinical Outcome of Glioblastoma Multiforme Patients Over a Decade.

OBJECTIVES/GOALS: While the evolving treatment paradigm for Glioblastoma (GBM) leverages different modalities to improve outcomes, treatment access might be limited by cost and disparities. This study explores the influence of race and social determinants of health (SDoH) on healthcare access and outcomes of GBM patients in a large metropolitan area over a decade. METHODS/STUDY POPULATION: Our institution’s tumor registry (2009-2019) was queried to identify our GBM cohort. Data were supplemented by electronic health records to include demographics, outcome, NCI Comorbidity Index, and the Agency for Healthcare Research and Quality (AHRQ) socioeconomic status (SES) index. RESULTS/ANTICIPATED RESULTS: Of the 559 GBM records, 361 unique patients met the inclusion criteria, and 43% were Non-White. Non-White patients predominantly comprised the lowest AHRQ SES index quartile and had longer hospital stays (LOS; p<0.001). White patients accounted for 61% of privately insured patients (p<0.001). Private insurance (p= 0.02) and age < 65 years (p= 0.039) were associated with a higher rate of home discharge. Patients diagnosed with GBM in the emergency department were more likely to be discharged to acute rehab than home (p<0.001). At 2 years, privately insured patients had longer OS (HR= 1.46; p= 0.04). DISCUSSION/SIGNIFICANCE: In contrast to previous studies, the study demonstrates that GBM affected a higher proportion of Non-White patients. Our data show that SDoH influences multiple outcomes in GBM patients. Efforts to identify and correct these barriers are needed to improve the care of all GBM patients.

ANALISIS BUDAYA KESELAMATAN PASIEN DI RSU PKU MUHAMMADIYAH, BANTUL

Background: Patient safety culture in PKU Muhammadiyah Hospital of Bantul based on Putri (2010) in the category of enough. Though PKU Muhammadiyah Hospital of Bantul is a Class C has an obligation to implement the Patient Safety throughout the service area.
 Method: This study used a mixed methods research approach is a quantitative method using cross sectional and qualitative methods with case study approach with a descriptive research design. Research subjects are nurses who deal directly with patients. A total of 61 people. Measurement of patient safety culture using a questionnaire from the AHRQ (Agency for Healthcare Research and Quality) in 2004 entitled HSOPSC (Hospital Survey on Patient Safety Culture). The questionnaire consisted of 12 questions dimensions with 42 items and is equipped with the interview data and report patient safety incidents from Patient Safety Team PKU Muhammadiyah Hospital, Bantul.
 Results and Discussion: Patient Safety Culture at PKU Muhammadiyah Hospital of Bantul in the category of enough with a mean and median of 73.9. Still found gaps between the patient safety incident reporting patient safety teams and real in the field. As well as barriers to implementation of patient safety in PKU Muhammadiyah Hospital of Bantul is still not optimal support came from management, not optimal team performance because the work load and the persistence of blaming culture in the unit.

What AHRQ Learned While Working to Transform Primary Care.

Building on previous efforts to transform primary care, the Agency for Healthcare Research and Quality (AHRQ) launched EvidenceNOW: Advancing Heart Health in 2015. This 3-year initiative provided external quality improvement support to small and medium-size primary care practices to implement evidence-based cardiovascular care. Despite challenges, results from an independent national evaluation demonstrated that the EvidenceNOW model successfully boosted the capacity of primary care practices to improve quality of care, while helping to advance heart health. Reflecting on AHRQ's own learnings as the funder of this work, 3 key lessons emerged: (1) there will always be surprises that will require flexibility and real-time adaptation; (2) primary care transformation is about more than technology; and (3) it takes time and experience to improve care delivery and health outcomes. EvidenceNOW taught us that lasting practice transformation efforts need to be responsive to anticipated and unanticipated changes, relationship-oriented, and not tied to a specific disease or initiative. We believe these lessons argue for a national primary care extension service that provides ongoing support for practice transformation.

American Clusters: Using Machine Learning to Understand Health and Health Care Disparities in the United States

Abstract Health and health care access in the U.S. is plagued by high inequality. While machine learning (ML) is increasingly used in clinical settings to inform health care delivery decisions and predict health care utilization, using ML as a research tool to understand health care disparities in the U.S. and how these are connected to health outcomes, access to health care, and health system organization is less common. We utilized over 650 variables from 24 different databases aggregated by the Agency for Healthcare Research and Quality (AHRQ) in their Social Determinant of Health Database (SDOH). We used k-means–a non-hierarchical ML clustering method–to cluster county level data. Principal factor analysis created county level index values for each SDOH domain and two health care domains–health care infrastructure and health care access. Logistic regression classification was used to identify the primary drivers of cluster classification. The most efficient cluster classification consists of 3 distinct clusters in the U.S.; the cluster having the highest life expectancy comprised only 10% of counties. The most efficient ML clusters do not identify the clusters with the widest health care disparities. ML clustering, using county level data, shows that health care infrastructure and access are the primary drivers of cluster composition.

Differences in intracranial atherosclerosis plaque between posterior circulation and anterior circulation on high-resolution magnetic resonance imaging: A systematic review and meta-analysis

ObjectiveThe clinical characteristics and mechanisms of stroke caused by anterior circulation atherosclerotic plaques (ACAPs) and posterior circulation atherosclerotic plaques (PCAPs) are distinct. We aimed to compare the differences in vulnerability, morphology, and distribution between ACAPs and PCAPs based on hign-resolution magnetic resonance imaging (HR-MRI). Materials and MethodsThe PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure (CNKI), and Wanfang database were retrieved from inception through May 2023. Meta-analysis was performed by R 4.2.1 software. The quality of the literature was assessed by the Agency for Healthcare Research and Quality (AHRQ). Subgroup analysis was conducted to explore the heterogeneity of the pooled results. ResultsThere were a total of 13 articles, including 1194 ACAPs and 1037 PCAPs. The pooled estimates demonstrated that the incidence of intraplaque hemorrhage in the PCAPs was higher (OR 1.72, 95%CI 1.35-2.18). The plaque length (SMD 0.23, 95%CI 0.06-0.39) and remodeling index (SMD 0.29, 95%CI 0.14-0.44) of PCAPs were larger than those in ACAPs. However, there were no evident differences in significant enhancement or stenosis degree between the two groups. ConclusionThere were more unstable features in PCAPs, highlighting an elevated risk of recurrent ischemic stroke in the posterior circulation. Furthermore, PCAPs were prone to developing penetrating artery disease due to their wider distribution. Nevertheless, posterior circulation arteries exhibited a greater propensity for outward remodeling, which may lead treatment team to miss the optimal intervention stage by being overlooked on angiographic detection.

Summary of the best evidence for the prevention of nasal injury in preterm infants with nasal noninvasive ventilation.

Due to immaturity, the nose of preterm infants can easily be injured, by even a short application of a nasal device. However, 20% to 60% of preterm infants suffer nasal damage while using nasal continuous positive airway pressure (NCPAP) due to weak skin tissue, prolonged use of nasal device, and improper nursing practices, leading to increased risk of infection and decreased compliance and tolerance. In this study, we retrieved, obtained and integrated the related evidences of prevention of nasal injury in premature infants with nasal noninvasive ventilation to provide reference for clinical practice. We searched the relevant guidelines, expert consensus, evidence summaries and systematic reviews in the databases and guideline websites of the National Institute for Health and Care Excellence (NICE), Scottish Intercollegiate Guidelines Network (SIGN), the Agency for Health care Research and Quality (AHRQ), Guidelines International Network (GIN), the World Health Organization (WHO) guideline websites, Registered Nurses' Association of Ontario (RANO), Association of Women's Health, Obstetric and Neonatal Nurses (AWHONN), European Pressure Ulcer Advisory Panel (EPUAP), Yi Maitong, British Medical Journal best-practice, Cochrane Library, UpToDate, Embase, PubMed, China National Knowledge Infrastructure (CNKI), Wanfang. The search was limited to the time of library establishment to February 2023. In total, 16 articles were included, including six guidelines, three expert consensuses, two evidence summaries and five systematic reviews. Twenty-eight pieces of evidence were summarized from six aspects: risk assessment, ventilation and connection, skin protection, skin assessment, training and support, and continuous quality improvement. This study summarized the best evidence for the prevention of nasal injury in premature infants through nasal noninvasive ventilation. It is suggested that nurses should consider the actual clinical situation when applying the suggestions from the evidence, formulate corresponding nursing measures, and reduce the occurrence of nasal injury in premature infants.

The use of a large language model to create plain language summaries of evidence reviews in healthcare: A feasibility study

AbstractIntroductionPlain language summaries (PLSs) make complex healthcare evidence accessible to patients and the public. Large language models (LLMs) may assist in generating accurate, readable PLSs. This study explored using the LLM Claude 2 to create PLSs of evidence reviews from the Agency for Healthcare Research and Quality (AHRQ) Effective Health Care Program.MethodsWe selected 10 evidence reviews published from 2021 to 2023, representing a range of methods and topics. We iteratively developed a prompt to guide Claude 2 in creating PLSs which included specifications for plain language, reading level, length, organizational structure, active voice, and inclusive language. PLSs were assessed for adherence to prompt specifications, comprehensiveness, accuracy, readability, and cultural sensitivity.ResultsAll PLSs met the word count. We judged one PLS as fully comprehensive; seven mostly comprehensive. We judged two PLSs as fully capturing the PICO elements; five with minor PICO errors. We judged three PLSs as accurately reporting the results; and four with minor result errors. We judged three PLSs as having major result errors for incorrectly reporting total participants. Five PLSs met the target 6th to 8th grade reading level. Passive voice use averaged 16%. All PLSs used inclusive language.ConclusionsLLMs show promise for assisting in PLS creation but likely require human input to ensure accuracy, comprehensiveness, and the appropriate nuances of interpretation. Iterative prompt refinement may improve results and address the needs of specific reviews and audiences. As text‐only summaries, the AI‐generated PLSs could not meet all consumer communication criteria, such as textual design and visual representations. Further testing should include consumer reviewers and explore how to best leverage LLM support in drafting PLS text for complex evidence reviews.

Randomized controlled trials of mind-body interventions for posttraumatic stress disorder: a systematic review.

Mind-body interventions (MBIs) include mindfulness-based interventions (MiBIs), meditation- and mantra-based interventions (MMIs), and movement-based interventions (MoBIs). These approaches have demonstrated preliminary efficacy in improving posttraumatic stress disorder (PTSD) symptoms. However, previous systematic reviews and meta-analyses have noted that this area of research is limited by inadequate comparator conditions, heterogeneity of measurement, and absence of objective outcome measures. For these reasons, an updated review of the highest-quality evidence available is warranted. We used the Agency for Healthcare Research and Quality (AHRQ)-funded evidence tables for the PTSD-Repository to identify relevant studies and assess the risk of bias as follows: The search was conducted between June 2018 and June 2022, and databases included PTSDpubs (formerly PILOTS), Ovid® MEDLINE®, Cochrane CENTRAL, Embase®, the Cumulative Index to Nursing and Allied Health Literature (CINAHL®), SCOPUS, and PsycINFO®. Twenty-six randomized controlled trials met our inclusion criteria. After identifying studies and retrieving risk of bias information from the PTSD-Repository evidence tables, we extracted additional data and synthesized the evidence. The strength of evidence was rated as low for MiBIs and MMIs, largely due to contradicting results, inconsistent use of active versus passive comparators, and high risk of bias. The strength of evidence for MoBIs was rated as moderate due to individual studies consistently favoring the intervention and a relatively large number of studies and participants. Of the 26 included studies, only two included objective outcome measures. Implications for future MBI research and clinical applications for treating PTSD are discussed.

Hospital Factors Associated with the Survival of Infants Born at Periviable Gestation: The USA National Database.

Background: Reports on the survival of infants born at periviable gestation (GA of ≤24 weeks and birth weight of <500 gm) vary significantly. We aimed to determine hospital factors associated with their survival and to assess the trend for the timing of postnatal mortality in these periviable infants. Methods: We utilized the de-identified National Inpatient Sample (NIS) dataset of the Healthcare Cost and Utilization Project (HCUP) from the Agency for Healthcare Research and Quality (AHRQ). National data were analyzed for the years 2010-2018. Hospitals were categorized according to delivery volume, USA regions, and teaching status. Results: We identified 33,998,014 infants born during the study period; 76,231 infants were ≤24 weeks. Survival at birth and first 2 days of life was greatest in urban teaching hospitals in infants <24 weeks and those who completed 24 weeks, respectively. The Northeast region has the lowest survival rate. There was a significant delay in the postnatal day of mortality in periviable infants. Conclusions: Hospital factors are associated with increased survival rates. Improved survival in large teaching hospitals supports the need for the regionalization of care in infants born at the limits of viability. There was a significant delay in the postnatal mortality day.

Caucasian and African American racial disparity in neonatal hospital mortality.

To examine disparity in hospital mortality among Caucasian (C) and African American (AA) neonates born at different gestational ages (GA). De-identified national inpatient data were obtained from the Healthcare Cost and Utilization Project (HCUP) from the Agency for Healthcare Research and Quality (AHRQ) for the years 2011-2018. We compared the odds ratio for mortality among C and AA infants by sex and GA category. Analyses were repeated after controlling for multiple maternal and neonatal confounding variables in a logistic regression model. The study included 18,758,233 infants; 78.3% of them were C and 21.7% were AA. Compared to C population, AA population has a significantly higher mortality in term infants born at GA ≥ 36 weeks. The racial/ethnic disparity in preterm infants was inconsistent without any difference at 35-36 weeks in male and female infants. The overall aOR for mortality in AA in all male preterm infants ≤36 weeks was 1.44 (1.39-1.49), <0.01; and the overall aOR for mortality in AA in all preterm female infants ≤36 weeks was 1.38 (1.33-1.44). Racial/Ethnic disparity in hospital mortality exists with higher AA mortality in infants born with GA > 36 weeks and less AA mortality in infants born with GA 24-26 weeks.

Prevalence of oral mucosal lesions in patients with systemic Lupus Erythematosus: a systematic review and meta-analysis

BackgroundSystemic lupus erythematosus (SLE) is a chronic autoimmune disease that can cause a range of symptoms, including oral mucosal lesions (OMLs). The prevalence of OMLs in SLE patients and their associated factors have been studied in various regions, but the results are inconsistent. This study aims to evaluate the prevalence of OMLs in patients with SLE.MethodsObservational studies of OML prevalence in SLE patients published before 2022 were retrieved from PubMed, Embase, Web of Science, Google Scholar, and the Cochrane Library without language restriction. The quality of the studies was assessed using the Newcastle-Ottawa Scale (NOS) and Agency for Healthcare Research and Quality (AHRQ).ResultsOur meta-analysis included 113 studies with a total of 53,307 SLE patients. We found that the prevalence of OMLs in SLE patients was 31% (95% CI: 28%, 35%), with oral ulcers being present in 30% of SLE patients (95% CI: 26%, 33%). Subgroup analysis showed that the prevalence of OMLs varied significantly by region, disease activity, and sample size (p ≤ 0.01). However, gender and year of publication had little effect on the prevalence of OMLs (p = 0.78 and 0.30, respectively). Oral ulcers were significantly associated with age of onset (p = 0.02), geographic location (p < 0.01), and race (p < 0.01). We also found that the prevalence of oral erythema was 9%, oral candidiasis was 9%, petechiae was 8%, cheilitis was 6%, and white plaque was 3%.ConclusionsOur analysis showed that the prevalence of OMLs varied significantly by region and disease activity, and child-onset patients of Indian, Malay, and Caucasian descent were more likely to have oral ulcers. The high prevalence of OML in SLE patients emphasizes the importance of regular oral examination and management in the comprehensive care of individuals with SLE.

Improving hospital quality risk-adjustment models using interactions identified by hierarchical group lasso regularisation

BackgroundRisk-adjustment (RA) models are used to account for severity of illness in comparing patient outcomes across hospitals. Researchers specify covariates as main effects, but they often ignore interactions or use stratification to account for effect modification, despite limitations due to rare events and sparse data. Three Agency for Healthcare Research and Quality (AHRQ) hospital-level Quality Indicators currently use stratified models, but their variable performance and limited interpretability motivated the design of better models.MethodsWe analysed patient discharge de-identified data from 14 State Inpatient Databases, AHRQ Healthcare Cost and Utilization Project, California Department of Health Care Access and Information, and New York State Department of Health. We used hierarchical group lasso regularisation (HGLR) to identify first-order interactions in several AHRQ inpatient quality indicators (IQI) - IQI 09 (Pancreatic Resection Mortality Rate), IQI 11 (Abdominal Aortic Aneurysm Repair Mortality Rate), and Patient Safety Indicator 14 (Postoperative Wound Dehiscence Rate). These models were compared with stratum-specific and composite main effects models with covariates selected by least absolute shrinkage and selection operator (LASSO).ResultsHGLR identified clinically meaningful interactions for all models. Synergistic IQI 11 interactions, such as between hypertension and respiratory failure, suggest patients who merit special attention in perioperative care. Antagonistic IQI 11 interactions, such as between shock and chronic comorbidities, illustrate that naïve main effects models overestimate risk in key subpopulations. Interactions for PSI 14 suggest key subpopulations for whom the risk of wound dehiscence is similar between open and laparoscopic approaches, whereas laparoscopic approach is safer for other groups. Model performance was similar or superior for composite models with HGLR-selected features, compared to those with LASSO-selected features.ConclusionsIn this application to high-profile, high-stakes risk-adjustment models, HGLR selected interactions that maintained or improved model performance in populations with heterogeneous risk, while identifying clinically important interactions. The HGLR package is scalable to handle a large number of covariates and their interactions and is customisable to use multiple CPU cores to reduce analysis time. The HGLR method will allow scholars to avoid creating stratified models on sparse data, improve model calibration, and reduce bias. Future work involves testing using other combinations of risk factors, such as vital signs and laboratory values. Our study focuses on a real-world problem of considerable importance to hospitals and policy-makers who must use RA models for statutorily mandated public reporting and payment programmes.

Epidemiology of mental health comorbidity in patients with atopic dermatitis: An analysis of global trends from 1998 to 2022.

The prevalence rates of attention deficit hyperactivity disorder (ADHD), depression, anxiety and suicide are increasing in patients with atopic dermatitis (AD), although no research has systematically examined these trends yet. Here, we explore the prevalence of the occurrence of comorbidities, such as ADHD, depression, anxiety and suicide with AD. We searched seven electronic databases from inception to October 2022 to identify relevant studies, and the Agency for Healthcare Research and Quality (AHRQ) and Newcastle-Ottawa Scale (NOS) tools were used to assess the quality of observational studies. Statistical analysis was performed using R software. Publication bias was evaluated using Egger's and Begg's linear tests. The global prevalence rates of ADHD, depression, anxiety and suicidal ideation in patients with AD were 7%, 17%, 21% and 13%, respectively, between 1998 and October 2022. Among children (aged <18 years), North American children with AD had the highest prevalence rates of ADHD (10%), depression (13%) and anxiety (20%). Among the adult (aged ≥18 years) population, patients with AD in Africa had the highest prevalence rates of depression (36%) and anxiety (44%), while Asian adults with AD had the highest prevalence rates of ADHD (7%) and suicidal ideation (20%). These results highlight the high prevalence and comorbidity rates of mental illnesses with AD, which should be brought to the attention of patients with AD and their physicians.

Association between the triglyceride glucose index and diabetic retinopathy in type 2 diabetes: a meta-analysis.

https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42023432747.

Burnout and patient safety culture assessment in a secondary care hospital.

To identify employee burn-out and assess its impact on patient safety culture. This cross-sectional study was carried out amongst healthcare providers (HCP) of Tehsil Head Quarter Manawan Hospital, Lahore from April 1st till 30th, 2023, who had been working for at least one year and directly involved in patient care. Two questionnaires were used; the Maslach Burnout Inventory (MBI) to assess level of burnout, and Agency for Healthcare Research and Quality (AHRQ) patient safety culture survey. After obtaining informed consent, 59 participants were enrolled in this study. High degree of occupational exhaustion (OE) 42.9% was seen amongst doctors and 57.1% had low degree of personal accomplishment (PA) compared to all other health care providers. Significant association was observed between two sub-scales of MBI (p<0.05). No significant association was observed in working hours, designated positions and burnout (p>0.05). Statistically weak correlation existed between burnout and patient safety culture (r=0.075, p=0.580). Awareness on incident reporting was in 43.3% of participants; of which 31% had reported at least one event in last 12 months. Overall, 76% employees consider their work unit reliable for providing safe patient care. Burnout was observed in employees, particularly high degree in attending physicians. However, team work, high level of personal accomplishment and incident reporting culture, served as protective factors for patient safety and safe working environment and culture.

OP59 Do Digital Health Terms Provide Sufficient Information To Allow For Health Technology Assessment?

IntroductionUmbrella digital health term (DHT) (digital health, eHealth, mHealth, telehealth, and telemedicine) definitions contain insufficient information about patient value for health economics and outcomes research and health technology assessment (HTA) purposes. Qualitative content analysis of secondary DHT (e.g., telesurgery and teleradiology) definitions was performed by the ISPOR Digital Health Special Interest Group to determine if they were more useful for health economics and outcomes research purposes.MethodsSecondary DHT definitions were extracted from a previous scoping review and consolidated by reviewer pairs using uniform rules. Definitions were analyzed for explicit (directly stated) or implicit (inferred) information on 24 categories: Patient, Intervention, Comparator, Outcome, Timing, Setting (PICOTS); the Shannon-Weaver communication model (SWE) (sender, message, encoder, channel, decoder, and receiver, extended with mode of information exchange); the quality domains of Agency for Healthcare Research and Quality (AHRQ) (safe, effective, patient-centered, timely, efficient, and equitable); information related to applied technology or geographic scope; and the World Health Organization (WHO) classification of digital health interventions v1.0 (digital health interventions category, health system challenges, and system categories).ResultsAcross 107 unique definitions of 73 secondary DHTs, the number of explicitly or implicitly addressed categories across the frameworks ranged from zero to 15, with references to elements of PICOTS (79.4%), SWE (90.7%), AHRQ (30.8%), applied technology (52.3%), geographic scope (0%), and WHO frameworks (86.9%). PICOTS information was found for Patients in 35 percent of definitions, Intervention in 59 percent, Comparator in 20 percent, and Outcomes in 18 percent.ConclusionsSecondary DHT definitions do not adequately specify PICOTS or other characteristics of interest for HTA. An online Delphi survey has been launched among a wider group of ISPOR members to identify the minimum information set to define patient facing DHTs for evidence summaries and value assessments. The results of this research should be shared for discussion with other digital health stakeholder groups.

Impact of smoking cessation on non-alcoholic fatty liver disease prevalence: a systematic review and meta-analysis

ObjectivesThe negative effects of smoking on numerous cardiovascular and metabolic diseases have been widely acknowledged. However, the potential effect of smoking cessation is relatively unelucidated. The objective of this study...

Eliminating health care inequities through strengthening access to care.

To provide a research agenda and recommendations to address inequities in access to health care. The Agency for Healthcare Research and Quality (AHRQ) organized a Health Equity Summit in July 2022 to evaluate what equity in access to health care means in the context of AHRQ's mission and health care delivery implementation portfolio. The findings are a result of this Summit, and subsequent convenings of experts on access and equity from academia, industry, and the government. Multi-stakeholder input from AHRQ's Health Equity Summit, author consensus on a framework and key knowledge gaps, and summary of evidence from the supporting literature in the context of the framework ensure comprehensive recommendations. Through a stakeholder-engaged process, themes were developed to conceptualize access with a lens toward health equity. A working group researched the most appropriate framework for access to care to classify limitations identified during the Summit and develop recommendations supported by research in the context of the framework. This strategy was intentional, as the literature on inequities in access to care may itself be biased. The Levesque et al. framework, which incorporates multiple dimensions of access (approachability, acceptability, availability, accommodation, affordability, and appropriateness), is the backdrop for framing research priorities for AHRQ. However, addressing inequities in access cannot be done without considering the roles of racism and intersectionality. Recommendations include funding research that not only measures racism within health care but also tests burgeoning anti-racist practices (e.g., co-production, provider training, holistic review, discrimination reporting, etc.), acting as a convener and thought leader in synthesizing best practices to mitigate racism, and forging the path forward for research on equity and access. AHRQ is well-positioned to develop an action plan, strategically fund it, and convene stakeholders across the health care spectrum to employ these recommendations.

The role of payment and financing in achieving health equity.

The aim was to identify healthcare payment and financing reforms to promote health equity and ways that the Agency for Healthcare Research and Quality (AHRQ) may promote those reforms. AHRQ convened a payment and financing workgroup-the authors of this paper-as part of its Health Equity Summit held in July 2022. This workgroup drew from its collective experience with healthcare payment and financing reform, as well as feedback from participants in a session at the Health Equity Summit, to identify the evidence base and promising paths for reforms to promote health equity. The payment and financing workgroup developed an outline of reforms to promote health equity, presented the outline to participants in the payment and financing session of the July 2022 AHRQ Health Equity Summit, and integrated feedback from the participants. This paper did not require novel data collection; the authors collected the data from the existing evidence base. The paper outlines root causes of health inequity and corresponding potential reforms in five domains: (1) the differential distribution of resources between healthcare providers serving different communities, (2) scarcity of financing for populations most in need, (3) lack of integration/accountability, (4) patient cost barriers to care, and (5) bias in provider behavior and diagnostic tools. Additional research is necessary to determine whether the proposed reforms are effective in promoting health equity.