How the structural determinants of health inequities impact access to prescription medication for pregnant women in Australia: a narrative review.

Structural factors that contribute to health disparities (e.g., population-level policies, cultural norms) impact the distribution of resources in society and can affect medication accessibility; even in high-income countries like Australia. Industry practices and regulatory approaches (e.g., a conservative approach to testing medicines in pregnant women) influence the availability of safety and efficacy data necessary for the licencing and funding of prescription medications used during pregnancy. Consequently, pregnant women may be prescribed medications outside of regulatory or funder-approved indications, posing risks for both prescribers and pregnant women and potentially compromising equitable access to medications. This review examines the regulatory and legislative structural factors that contribute to health disparities and perpetuate the deeply ingrained social norm that we should be protecting pregnant women from clinical research rather than safeguarding them through such research. Addressing these challenges requires a renewed commitment to integrated, woman-centred maternal healthcare and strengthened collaboration across all sectors. Funding: Australian Government Research Training Program Stipend from the University of Technology Sydney, National Health and Medical Research Council (NHMRC) Fellowship, Channel 7 Children's Research Foundation Fellowship (CRF-210323).

Relative billing complexity of in-person versus telehealth outpatient encounters.

RATIONALE: Video visits became more widely available during the coronavirus disease (COVID-19) pandemic. However, the ongoing role and value of video visits in care delivery and how these may have changed over time are not well understood. AIMS AND OBJECTIVES: Compare the relative complexity of in-person versus video visits during the COVID-19 pandemic and describe the complexity of video visits over time. METHODS: We used billing data for in-person and video revisits from non-behavioural health specialities with the most video visit utilisation (≥50th percentile) at a large, urban, public healthcare system from 1 January 2021 to 31 March 2022. We used current procedural terminology (CPT) codes as a proxy for information gathering and decision-making complexity and time spent on an encounter. We compared the distribution of CPT codes 99211-99215 between in-person and video visits using Fisher's exact tests. We used Spearman correlation to test for trends between proportions of CPT codes over time for video visits. RESULTS: Ten specialities (adult primary care, paediatrics, adult dermatology, bariatric surgery, paediatric endocrinology, obstetrics and gynaecologist, adult haematology/oncology, paediatric allergy/immunology, paediatric gastroenterology, and paediatric pulmonology) met inclusion criteria. For each speciality, proportions of each CPT code for in-person visits and for video visits varied significantly, and patterns of variation differed by speciality. For example, in adult primary care, video visits had smaller proportions of moderate/high complexity visits (99214 and 99215) and greater proportions of lower complexity visits (99211-99213) compared with in-person visits (p < 0.001), but in paediatric endocrinology, the opposite was seen (p < 0.001). Trends in CPT codes over time for video visits in each speciality were also mixed. CONCLUSION: In-person and video visits had differing proportions of complexity codes (typically skewing towards lower complexity for video visits). The complexity of video visits changed over time in many specialities. Observed patterns for both phenomena varied by speciality.

Patient Characteristics Associated with Telehealth Scheduling and Completion in Primary Care at a Large, Urban Public Healthcare System.

Understanding patient characteristics associated with scheduling and completing telehealth visits can identify potential biases or latent preferences related to telehealth usage. We describe patient characteristics associated with being scheduled for and completing audio and video visits. We used data from patients at 17 adult primary care departments in a large, urban public healthcare system from August 1, 2020 to July 31, 2021. We used hierarchical multivariable logistic regression to generate adjusted odds ratios (aOR) for patient characteristics associated with having been scheduled for and completed telehealth (vs in-person) visits and for video (vs audio) scheduling and completion during two time periods: a telehealth transition period (N = 190,949) and a telehealth elective period (N = 181,808). Patient characteristics were significantly associated with scheduling and completion of telehealth visits. Many associations were similar across time periods, but others changed over time. Patients who were older (≥ 65 years old vs 18-44 years old: aOR for scheduling 0.53/completion 0.48), Black (0.86/0.71), Hispanic (0.76/0.62), or had Medicaid (0.93/0.84) were among those less likely to be scheduled for or complete video (vs audio) visits. Patients with activated patient portals (1.97/3.34) or more visits (≥ 3 scheduled visits vs 1 visit: 2.40/1.52) were more likely to be scheduled for or complete video visits. Variation in scheduling/completion explained by patient characteristics was 7.2%/7.5%, clustering by provider 37.2%/34.9%, and clustering by facility 43.1%/37.4%. Stable and dynamic associations suggest persistent gaps in access and evolving preferences/biases. Variation explained by patient characteristics was relatively low compared with that explained by provider and facility clustering.

Pharmacoepidemiology and costs of medications dispensed during pregnancy: A retrospective population-based study.

OBJECTIVE: To describe the pharmacoepidemiology and costs associated with medications dispensed during pregnancy. DESIGN: Pharmacoepidemiological study and cost analysis. SETTING: Queensland, Australia. POPULATION: All women who gave birth in Queensland between January 2013 and June 2018. METHODS: We used a whole-of-population linked administrative dataset, Maternity1000, to describe medications approved for public subsidy that were dispensed to 255 408 pregnant women. We describe the volume of medications dispensed and their associated costs from a Government and patient perspective. MAIN OUTCOME MEASURES: Prevalence of medication use; proportion of total dispensings; total medication costs in AUD 2020/21 ($1AUD = $0.67USD/£0.55GBP in December 2022). RESULTS: During pregnancy, 61% (95% CI 60.96-61.29%) of women were dispensed at least one medication approved for public subsidy. The mean number of items dispensed per pregnancy increased from 2.14 (95% CI 2.11-2.17) in 2013 to 2.47 (95% CI 2.44-2.51) in 2017; an increase of 15%. Furthermore, mean Government cost per dispensing increased by 41% from $21.60 (95% CI $20.99-$22.20) in 2013 to $30.44 (95% CI $29.38-$31.49) in 2017. These factors influenced the 53% increase in total Government expenditure observed for medication use during pregnancy between 2013 and 2017 ($2,834,227 versus $4,324,377); a disproportionate rise compared with the 17% rise in women's total out-of-pocket expenses observed over the same timeframe ($1,880,961 versus $2,204,415). CONCLUSIONS: Prevalence of medication use in pregnancy is rising and is associated with disproportionate and rapidly escalating cost implications for the Government.

Economic Evaluation of Early Interventions for Autistic Children: A Scoping Review.

Many autistic children access some form of early intervention, but little is known about the value for money of different programs. We completed a scoping review of full economic evaluations of early interventions for autistic children and/or their families. We identified nine studies and reviewed their methods and quality. Most studies involved behavioral interventions. Two were trial-based, and the others used various modelling methods. Clinical measures were often used to infer dependency levels and quality-adjusted life-years. No family-based or negative outcomes were included. Authors acknowledged uncertain treatment effects. We conclude that economic evaluations in this field are sparse, methods vary, and quality is sometimes poor. Economic research is needed alongside longer-term clinical trials, and outcome measurement in this population requires further exploration.

Appointment Non-attendance for Telehealth Versus In-Person Primary Care Visits at a Large Public Healthcare System.

BACKGROUND: Appointment non-attendance has clinical, operational, and financial implications for patients and health systems. How telehealth services are associated with non-attendance in primary care is not well-described, nor are patient characteristics associated with telehealth non-attendance. OBJECTIVE: We sought to compare primary care non-attendance for telehealth versus in-person visits and describe patient characteristics associated with telehealth non-attendance. DESIGN: An observational study of electronic health record data. PARTICIPANTS: Patients with primary care encounters at 23 adult primary care clinics at a large, urban public healthcare system from November 1, 2019, to August 31, 2021. MAIN MEASURES: We analyzed non-attendance by modality (telephone, video, in-person) during three time periods representing different availability of telehealth using hierarchal multiple logistic regression to control for patient demographics and variation within patients and clinics. We stratified by modality and used hierarchal multiple logistic regression to assess for associations between patient characteristics and non-attendance in each modality. KEY RESULTS: There were 1,219,781 scheduled adult primary care visits by 329,461 unique patients: 754,149 (61.8%) in-person, 439,295 (36.0%) telephonic, and 26,337 (2.2%) video visits. Non-attendance for telephone visits was initially higher than that for in-person visits (adjusted odds ratio 1.04 [95% CI 1.02, 1.07]) during the early telehealth availability period, but decreased later (0.82 [0.81, 0.83]). Non-attendance for video visits was higher than for in-person visits during the early (4.37 [2.74, 6.97]) and later (2.02 [1.95, 2.08]) periods. Telephone visits had fewer differences in non-attendance by demographics; video visits were associated with increased non-attendance for patients who were older, male, had a primary language other than English or Spanish, and had public or no insurance. CONCLUSIONS: Telephonic visits may improve access to care and be more easily adoptable among diverse populations. Further attention to implementation may be needed to avoid impeding access to care for certain populations using video visits.

Trends in State-Level Pharmacy-Based Naloxone Dispensing Rates, 2012-2019.

INTRODUCTION: Improving access to naloxone is an important public health strategy in the U.S. This study examines the state-level trends in naloxone dispensing from 2012 to 2019 for all 50 states and the District of Columbia. METHODS: Data from IQVIA Xponent were used to examine the trends and geographic inequality in annual naloxone dispensing rates and the number of naloxone prescriptions dispensed per high-dose opioid prescription from 2012 to 2019 and from 2016 to 2019 to correspond with the Centers for Disease Control and Prevention Guideline for Prescribing Opioids for Chronic Pain release. Annual percentage change was estimated using linear regression. Analyses were conducted in 2020. RESULTS: Naloxone dispensing rates and the number of naloxone prescriptions per 100 high-dose opioid prescriptions increased from 2012 to 2019 across all states and the District of Columbia. Average state-level naloxone dispensing rates increased from 0.55 per 100,000 population in 2012 to 45.60 in 2016 and 292.31 in 2019. Similarly, the average number of naloxone prescriptions per 100 high-dose opioid prescriptions increased from 0.002 in 2012 to 0.24 in 2016 and 3.04 in 2019. Across both measures of naloxone dispensing, the geographic inequality gap increased during the study period. In 2019, the number of naloxone prescriptions dispensed per 100 high-dose opioid prescriptions ranged from 1.04 to 16.64 across states. CONCLUSIONS: Despite increases in naloxone dispensing across all states, dispensing rates remain low, with substantial variation and increasing disparities over time at the state level. This information may be helpful in efforts to improve naloxone access and in designing state-specific intervention programs.

Early intervention for young children with autism spectrum disorder: protocol for a scoping review of economic evaluations.

BACKGROUND: In many countries, children who are diagnosed with autism during the first 5 years of life are offered a range of early intervention options. These options vary considerably in the theoretical approaches and techniques applied, their intensity and duration, settings, the person/s delivering supports and the training they require. Early interventions are a significant contributor to total autism-related costs in Western countries, but only in the last 10-20 years has there been adequate outcome data to enable the comparison of different interventions' cost-effectiveness. This protocol describes a scoping review to better understand what economic evaluations have been completed in this field, and the methods used to date. METHODS: We will systematically search the following databases from their inception to 2021 for eligible studies: MEDLINE, EMBASE, PsycINFO, Econlit, PEDE, NHS EED and HTA. Full economic evaluations of any types of early intervention for children with autism prior to school entry will be included. Two reviewers will screen the studies, extract the data and assess the study quality using established checklists. The risk of bias will be assessed using the extended CHEC-list for all studies and, additionally, the Philips checklist for modelled studies. Quality of reporting will be assessed using the CHEERS checklist. A narrative synthesis will be completed to collate the findings, describe the methods used and identify which interventions have been researched from an economic perspective. DISCUSSION: This review will provide researchers, policymakers and service providers with current information about the economic evidence for early interventions for young children with autism and point to priorities for further research. It will inform future economic evaluations by highlighting the gaps or inconsistencies in the methods used to date. Limitations of the review will be acknowledged and discussed. SYSTEMATIC REVIEW REGISTRATION: Open Science Framework:  https://osf.io/sj7kt.

Disparities in COVID-19 Vaccination Status, Intent, and Perceived Access for Noninstitutionalized Adults, by Disability Status - National Immunization Survey Adult COVID Module, United States, May 30-June 26, 2021.

Estimates from the 2019 American Community Survey (ACS) indicated that 15.2% of adults aged ≥18 years had at least one reported functional disability (1). Persons with disabilities are more likely than are those without disabilities to have chronic health conditions (2) and also face barriers to accessing health care (3). These and other health and social inequities have placed persons with disabilities at increased risk for COVID-19-related illness and death, yet they face unique barriers to receipt of vaccination (4,5). Although CDC encourages that considerations be made when expanding vaccine access to persons with disabilities,* few public health surveillance systems measure disability status. To describe COVID-19 vaccination status and intent, as well as perceived vaccine access among adults by disability status, data from the National Immunization Survey Adult COVID Module (NIS-ACM) were analyzed. Adults with a disability were less likely than were those without a disability to report having received ≥1 dose of COVID-19 vaccine (age-adjusted prevalence ratio [aPR] = 0.88; 95% confidence interval [CI] = 0.84-0.93) but more likely to report they would definitely get vaccinated (aPR = 1.86; 95% CI = 1.43-2.42). Among unvaccinated adults, those with a disability were more likely to report higher endorsement of vaccine as protection (aPR = 1.29; 95% CI = 1.16-1.44), yet more likely to report it would be or was difficult to get vaccinated than did adults without a disability (aPR = 2.69; 95% CI = 2.16-3.34). Reducing barriers to vaccine scheduling and making vaccination sites more accessible might improve vaccination rates among persons with disabilities.

Adapting to the Reimbursement Landscape: The Future of Value-Based Care.

This article explores one of the undeniable driving forces in health care: payment, and the shift toward value-based reimbursement as a lever to better align provider incentives toward appropriate utilization of health care services. The increasing burden of heart failure has made it an attractive target for many payment reform efforts and alternative payment models. As the ultimate goal of "value-based care" interventions is to reduce costs and improve quality outcomes and experience for patients while simultaneously improving the caregiver experience, financial models require a level of clinical translation to yield sustainable care redesign improvements.

Staffing Up For The Surge: Expanding The New York City Public Hospital Workforce During The COVID-19 Pandemic.

Confronted with the coronavirus disease 2019 (COVID-19) pandemic, New York City Health + Hospitals, the city's public health care system, rapidly expanded capacity across its eleven acute care hospitals and three new field hospitals. To meet the unprecedented demand for patient care, NYC Health + Hospitals redeployed staff to the areas of greatest need and redesigned recruiting, onboarding, and training processes. The hospital system engaged private staffing agencies, partnered with the Department of Defense, and recruited volunteers throughout the country. A centralized onboarding team created a single-source portal for medical care providers requiring credentialing and established new staff positions to increase efficiency. Using new educational tools focused on COVID-19 content, the hospital system trained twenty thousand staff members, including nearly nine thousand nurses, within a two-month period. Creation of multidisciplinary teams, frequent enterprisewide communication, willingness to shift direction in response to changing needs, and innovative use of technology were the key factors that enabled the hospital system to meet its goals.

Census of economic evaluations in primary prevention 2014-2019: a scoping review protocol.

BACKGROUND: A large proportion of the burden of disease is preventable, yet investment in health promotion and disease prevention programmes remains a small share of the total health budget in many countries. The perception that there is paucity of evidence on the cost-effectiveness of public health programmes is seen as a barrier to policy change. The aim of this scoping review is to conduct a census of economic evaluations in primary prevention in order to identify and map the existing evidence. METHODS: This review is an update of a prior census and will include full economic evaluations of primary prevention programmes conducted in a community-based setting that were published between 2014 and 2019. The search of electronic databases (MEDLINE and Embase, and NHS-EED for 2014) will be supplemented by a search for grey literature in OpenGrey and a search of the reference lists of reviews of economic evaluations identified in our searches. Retrieved citations will be imported into Covidence® and independently screened in a two-stage process by two reviewers (abstracts and full papers). Any disagreements on the eligibility of a citation will be resolved by discussion with a third reviewer. Included studies will then be categorised by one independent reviewer according to a four-part typology covering the type of health promotion intervention, the risk factor being tackled, the setting in which the intervention took place and the population most affected by the intervention. New to this version of the census, we will also document whether or not the intervention sets out specifically to address inequalities in health. DISCUSSION: This review will produce an annotated bibliography of all economic evaluations plus a report summarising the current scope and content of the economic evidence (highlighting where it is plentiful and where it is lacking) and describing any changes in the type of economic evidence available for the various categories of disease prevention programmes since the last census. This will allow us to identify where future evaluative efforts should be focused to enhance the economic evidence base regarding primary prevention interventions. SYSTEMATIC REVIEW REGISTRATION: Registration is being sought concurrently.

The Primary Care Spend Model: a systems approach to measuring investment in primary care.

Increased investment in primary care is associated with lower healthcare costs and improved population health. The allocation of scarce resources should be driven by robust models that adequately describe primary care activities and spending within a health system, and allow comparisons within and across health systems. However, disparate definitions result in wide variations in estimates of spending on primary care. We propose a new model that allows for a dynamic assessment of primary care spending (PC Spend) within the context of a system's total healthcare budget. The model articulates varied definitions of primary care through a tiered structure which includes overall spending on primary care services, spending on services delivered by primary care professionals and spending delivered by providers that can be characterised by the '4Cs' (first contact, continuous, comprehensive and coordinated care). This unifying framework allows a more refined description of services to be included in any estimate of primary care spend and also supports measurement of primary care spending across nations of varying economic development, accommodating data limitations and international health system differences. It provides a goal for best accounting while also offering guidance, comparability and assessments of how primary care expenditures are associated with outcomes. Such a framework facilitates comparison through the creation of standard definitions and terms, and it also has the potential to foster new areas of research that facilitate robust policy analysis at the national and international levels.

Piloting a Financial Counseling Intervention for Patients With Cancer Receiving Chemotherapy.

PURPOSE: National organizations encourage communication about costs of cancer care; however, few data are available on health system models for identifying and assisting patients with financial distress (FD). We report the feasibility and acceptability of a financial counseling (FC) intervention for patients who receive chemotherapy at a comprehensive cancer center. MATERIALS AND METHODS: Patients were randomly assigned 1:1 to FC or standard care. The FC arm received education, financial assistance screening, and an estimation tool with total billed charges and out-of-pocket (OOP) cost of one cycle of chemotherapy from a financial counselor through phone call and in-person visit. Participants completed measures of FD, health-related quality of life, and acceptability. RESULTS: Ninety-five participants enrolled (mean age, 61 years; 72% white; 50% commercially insured), with a 32% attrition rate between assessments. Rates of completion for the phone call, in-person, and entire intervention were 98%, 47%, and 30%, respectively. The OOP estimation tool was considered understandable and acceptable to the majority of participants. No significant changes in FD were found between arms. Emotional functioning was negatively associated with having high FD (95% CI, -0.13379 to -0.013; P = .0189). Being married was associated with a decrease in log-odds of having high FD (ß = -1.916; 95% CI, -3.358 to -0.475; P = .0092). CONCLUSION: Implementation of an FC program that provides transparent cost data is feasible and acceptable. Incorporation of FC into clinical workflow, including phone counseling, is important to improve feasibility. Additional work is needed to develop tailored educational materials that are patient specific.

Automated Risk Assessment for School Violence: a Pilot Study.

School violence has increased over the past ten years. This study evaluated students using a more standard and sensitive method to help identify students who are at high risk for school violence. 103 participants were recruited through Cincinnati Children's Hospital Medical Center (CCHMC) from psychiatry outpatient clinics, the inpatient units, and the emergency department. Participants (ages 12-18) were active students in 74 traditional schools (i.e. non-online education). Collateral information was gathered from guardians before participants were evaluated. School risk evaluations were performed with each participant, and audio recordings from the evaluations were later transcribed and manually annotated. The BRACHA (School Version) and the School Safety Scale (SSS), both 14-item scales, were used. A template of open-ended questions was also used. This analysis included 103 participants who were recruited from 74 different schools. Of the 103 students evaluated, 55 were found to be moderate to high risk and 48 were found to be low risk based on the paper risk assessments including the BRACHA and SSS. Both the BRACHA and the SSS were highly correlated with risk of violence to others (Pearson correlations>0.82). There were significant differences in BRACHA and SSS total scores between low risk and high risk to others groups (p-values <0.001 under unpaired t-test). In particular, there were significant differences in individual SSS items between the two groups (p-value <0.001). Of these items, Previous Violent Behavior (Pearson Correlation = 0.80), Impulsivity (0.69), School Problems (0.64), and Negative Attitudes (0.61) were positively correlated with risk to others. The novel machine learning algorithm achieved an AUC of 91.02% when using the interview content to predict risk of school violence, and the AUC increased to 91.45% when demographic and socioeconomic data were added. Our study indicates that the BRACHA and SSS are clinically useful for assessing risk for school violence. The machine learning algorithm was highly accurate in assessing school violence risk.