Social Media Use and Serious Psychological Distress Among Adolescents.

Unlabelled: This Research Letter describes the increasing trend of almost-constant social media use among California adolescents and the association with serious psychological distress, focusing on the influence of familial and experiential factors.

Evolving academic and research partnerships in global health: a capacity-building partnership to assess primary healthcare in the Philippines.

Building fair, equitable, and beneficial partnerships between institutions collaborating in research in low- and middle-income countries (LMIC) and high-income countries (HIC) has become an integral part of research capacity building in global health in recent years. In this paper, we offer an example of an academic collaboration between the University of California Los Angeles, Center for Health Policy and Research (UCLA CHPR) and the University of Philippines, Manila, College of Public Health (UPM CPH) that sought to build an equitable partnership between research institutions. The partnership was built on a project to build capacity for research and produce data for policy action for the prevention and care of non-communicable diseases (NCDs) through primary healthcare in the Philippines. The specific objectives of the project were to: (1) locally adapt the Primary Care Assessment Tool for the Philippines and use the adapted tool to measure facility-level primary care delivery, (2) conduct focus group discussions (FGDs) to gather qualitative observations regarding primary care readiness and capacity, and (3) conduct a comprehensive population-based health survey among adults on NCDs and prior healthcare experience. We describe here the progression of the partnership between these institutions to carry out the project and the elements that helped build a stronger connection between the institutions, such as mutual goal setting, cultural bridging, collaborative teams, and capacity building. This example, which can be used as a model depicting new directionality and opportunities for LMIC-HIC academic partnerships, was written based on the review of shared project documents, including study protocols, and written and oral communications with the project team members, including the primary investigators. The innovation of this partnership includes: LMIC-initiated project need identification, LMIC-based funding allocation, a capacity-building role of the HIC institution, and the expansion of scope through jointly offered courses on global health.

Making Communities More Visible: Equity-Centered Data to Achieve Health Equity.

Policy Points Despite decades of research exposing health disparities between populations and communities in the US, health equity goals remain largely unfulfilled. We argue these failures call for applying an equity lens in the way we approach data systems, from collection and analysis to interpretation and distribution. Hence, health equity requires data equity. There is notable federal interest in policy changes and federal investments to improve health equity. With this, we outline the opportunities to align these health equity goals with data equity by improving the way communities are engaged and how population data are collected, analyzed, interpreted, made accessible, and distributed. Policy priority areas for data equity include increasing the use of disaggregated data, increasing the use of currently underused federal data, building capacity for equity assessments, developing partnerships between government and community, and increasing data accountability to the public.

Association of California Immigrants' Avoidance of Public Programs Due to Immigration Concerns With Delayed Access to Health Care.

This cross-sectional study examines the association of avoidance of public programs among California immigrants with delayed access to health care services and prescriptions owing to concerns about how their interaction with these services may affect their immigration status.

Surveying Hate and Its Effects During the COVID-19 Pandemic Among Asian Americans and Native Hawaiians and Pacific Islanders.

Objectives. To summarize data collection on anti-Asian American and Native Hawaiian/Pacific Islander (AANHPI) experiences during COVID-19 and measure the associations of anti-AANHPI hate incidents with mental health, health access, and public safety among AANHPI adults. Methods. We cataloged COVID-19 surveys conducted in 2020 and 2021 on anti-AANHPI experiences. We then analyzed the 2020 California Health Interview Survey (CHIS) AANHPI COVID-19 module by constructing a variable of experiencing or witnessing a hate incident and estimating its associations with serious psychological distress, forgone care, and perceived neighborhood safety. Results. Estimates of being a victim of a hate incident ranged from 6% to 30%. In the CHIS, 28% of respondents experienced or witnessed a hate incident. Experiencing or witnessing a hate incident was significantly associated with serious psychological distress (adjusted odds ratio [AOR] = 5.33), forgoing care (AOR = 2.27), and not feeling safe in one's neighborhood (AOR = 2.70). Conclusions. Evidence from a multitude of data sources corroborates the toll of hate incidents suffered by AANHPIs. Findings regarding the negative effects of anti-AANHPI hate on mental health, health access, and public safety compel public and private investment to end victimization of AANHPI communities. (Am J Public Health. 2022;112(10):1446-1453. https://doi.org/10.2105/AJPH.2022.306977).

Policy Considerations for Routine Screening for Adverse Childhood Events (ACEs).

In October of 2021, California enacted SB 428, the ACEs Equity Act, which mandates commercial insurance coverage of adverse childhood experiences (ACEs) screening in addition to ACEs screening already covered for the state's Medicaid enrollees. California is the first state to expand ACEs screening coverage, but it is possible other states may follow similar paths given the increasing interest in policy action to address ACEs. Increase in stress and trauma among Americans and evidence of the disproportionate impact ACEs have on historically marginalized and disadvantaged communities has increased the urgency with which policy makers, clinicians and researchers have sought to address ACEs and encourage trauma-informed care delivery to better meet the needs of patients. Family practice and other primary care providers are at the core of prevention and are arguably the largest group of stakeholders at the forefront of movements toward increasing ACEs screenings. However, debate persists among policy makers, clinicians, and researchers on whether the ACEs screening approach improves outcomes and avoids harms. In this health policy article, we describe key issues under debate with regards to ACEs screening and estimate potential change in screening utilization and expenditures due to the new ACEs legislation in California. The lessons being learned in California are applicable to other states and the US as a whole.

Life Satisfaction and Social and Emotional Support Among Asian American Older Adults.

BACKGROUND: Little data exist on the well-being of older adults from Asian American (AA) communities. METHODS: Using data from the 2018 California Health Interview Survey, we examined 2 well-being metrics among AAs and AA subgroups (Korean, Filipino, Vietnamese, Chinese) 65 years and older. RESULTS: AA older adults reported lower life satisfaction and not having needed social and emotional support compared with all other race/ethnicities. Current life satisfaction among AA older adults was 54% compared with 80% for all other race/ethnicities; 56% of AA older adults reported usually or always receiving social/emotional compared with 80% for all other race/ethnicities. Within the AA category, life satisfaction was 40% for Korean, 48% for Chinese, 47% for Vietnamese, and 77% for Filipino older adults. Among Korean older adults, 30% reported receiving needed social/emotional support, 57% among Chinese, 59% among Filipino, and 65% among Vietnamese older adults. CONCLUSION: AA older adults report lower life satisfaction and not needed receiving social and emotional support compared with all other race/ethnicities. Among AAs, Korean older adults were most likely to report poorer well-being. AA older adult communities may be in urgent need of further research and investment in interventions.

Using a Twitter Chat to Rapidly Identify Barriers and Policy Solutions for Metastatic Breast Cancer Care: Qualitative Study.

BACKGROUND: Real-time, rapid assessment of barriers to care experienced by patients can be used to inform relevant health care legislation. In recent years, online communities have become a source of support for patients as well as a vehicle for discussion and collaboration among patients, clinicians, advocates, and researchers. The Breast Cancer Social Media (#BCSM) community has hosted weekly Twitter chats since 2011. Topics vary each week, and chats draw a diverse group of participants. Partnering with the #BCSM community, we used Twitter to gather data on barriers to care for patients with metastatic breast cancer and potential policy solutions. Metastatic breast cancer survival rates are low and in large part conditioned by time-sensitive access to care factors that might be improved through policy changes. OBJECTIVE: This study was part of an assessment of the barriers to care for metastatic breast cancer with the goal of offering policy solutions for the legislative session in California. METHODS: We provided 5 questions for a chat specific to metastatic breast cancer care barriers and potential policy solutions. These were discussed during the course of a #BCSM chat on November 18, 2019. We used Symplur (Symplur LLC) analytics to generate a transcript of tweets and a profile of participants. Responses to the questions are presented in this paper. RESULTS: There were 288 tweets from 42 users, generating 2.1 million impressions during the 1-hour chat. Participants included 23 patient advocates (most of whom were patients themselves), 7 doctors, 6 researchers or academics, 3 health care providers (2 nurses, 1 clinical psychologist), and 2 advocacy organizations. Participants noted communication gaps between patient and provider especially as related to the need for individualized medication dosing to minimize side effects and maximize quality of life. Timeliness of insurance company response, for example, to authorize treatments, was also a concern. Chat participants noted that palliative care is not well integrated into metastatic breast cancer care and that insurance company denials of coverage for these services were common. Regarding financial challenges, chat participants mentioned unexpected copays, changes in insurance drug formularies that made it difficult to anticipate drug costs, and limits on the number of physical therapy visits covered by insurance. Last, on the topic of disability benefits, participants expressed frustration about how to access disability benefits. When prompted for input regarding what health system and policy changes are necessary, participants suggested a number of ideas, including expanding the availability of nurse navigation for metastatic breast cancer, developing and offering a guide for the range of treatment and support resources patients with metastatic breast cancer, and improving access to clinical trials. CONCLUSIONS: Rapid assessments drawing from online community insights may be a critical source of data that can be used to ensure more responsive policy action to improve patient care.

The impact of rising food prices on obesity in women: a longitudinal analysis of 31 low-income and middle-income countries from 2000 to 2014.

OBJECTIVES: To examine whether changes in food prices are associated with changes in obesity prevalence among women in developing countries, and assess effect modification by individual socioeconomic status (SES). METHODS: Longitudinal study of country-level food price inflation temporally and geographically linked to anthropometric data on non-pregnant adult women (n = 295,984) in 31 low-income and middle-income countries over the 2000-2014 time period, using separate multivariable multilevel growth models of five SES indicators. Post-estimation analysis computed the relationship between food price inflation and predicted mean probabilities of being obese, by SES. RESULTS: Rising food price inflation was strongly associated with women's obesity prevalence, and SES consistently modified the relationship. Regardless of indicator used, higher food price inflation was positively associated with obesity among women in top SES categories, but was flat or negative among women in low SES categories, averaging over time. The SES differences were widest across educational strata and were most pronounced when food price inflation was highest. Overall, for every 1-unit increase in food price inflation, predicted mean obesity prevalence was between 0.02 and 0.06 percentage points greater in women of high SES compared to low SES women. CONCLUSION: There is a strong link between food price inflation and obesity in adult women in developing countries which is clearly modified by individuals' SES. Greater food price inflation was associated with greater obesity prevalence only among women in higher SES groups, who may be net food buyers most at risk of obesity in low-income and middle-income countries.

Managing Diversity To Eliminate Disparities: A Framework For Health.

By 2044 there will be no single racial or ethnic majority group in the US, according to the Census Bureau. California experienced this shift in 2000, making the state a bellwether in its attempts to bring health equity to a highly diverse population. We used data from the California Health Interview Survey and the California Regional Health Care Cost and Quality Atlas to examine health, health care access, and quality of care by race/ethnicity, payer, and region. Evaluating insurance coverage and diabetes as a sentinel condition, we found that wealthy regions exhibited the widest disparities-with advantages among non-Latino whites and people with commercial coverage. Disparities were narrowest in rural and agricultural regions, but health and quality of care were lower overall in those regions. State initiatives to address health equity include requiring health plans to reduce disparities by language and race/ethnicity and investing carbon cap-and-trade revenues in disadvantaged communities. Prominent advocacy, community engagement, the systematic use of data, local flexibility, and mechanisms for stronger accountability are driving these initiatives. Evidence has yet to emerge on how effective these policies will be in reducing health disparities in the state.

Does health insurance coverage or improved quality protect better against out-of-pocket payments? Experimental evidence from the Philippines.

This paper explores whether health insurance coverage or improved quality at the hospital level protect better against out-of-pocket payments. Using data from a randomized policy experiment in the Philippines, we found that interventions to expand insurance coverage and improve provider quality both had an impact on out-of-pocket payments. The sample consists of 3121 child-patient patient observations across 30 hospitals either at baseline in 2003/04 or at the follow-up in 2007/08. Compared to controls, interventions that expanded insurance and provided performance-based provider payments to improve quality both resulted in a decline in out-of-pocket spending (21% decline, p-value = 0.061; and 24% decline, p-value = 0.017, respectively). With lower out-of-pocket payments for hospital care, monthly household spending on personal hygiene rose by 0.9 (p-value = 0.026) and 0.6 US$ (p-value = 0.098) under the expanded insurance and provider payment interventions, respectively, amounting to roughly a 40-60% increase relative to the controls. With the current surge for health insurance expansion in developing countries, our study suggests paying increased and possibly, equal attention to supply-side interventions will have similar impacts with operational simplicity and greater provider accountability.

Universal Lead Screening Requirement: A California Case Study.

OBJECTIVES: To estimate potential impacts of California Assembly Bill (AB) 1316: a requirement for universal screening and insurance coverage for child blood lead testing. METHODS: In April 2017 the California Health Benefits Review Program (Oakland, CA) analyzed AB 1316 for the California legislature, including a systematic review of lead screening effectiveness, commercial insurer surveys regarding screening coverage, and actuarial utilization and cost implication assessments. RESULTS: Universal screening requirements would increase child lead testing by 273%, raise affected populations' premiums by 0.0043%, and detect an additional 4777 exposed children 1 year after implementation. CONCLUSIONS: The evidence for a net societal benefit of universal screening approach is limited and is not supported by prominent medical professional groups. Public Health Implications. California expanded targeted screening to identify additional children at higher risk for lead poisoning on the basis of California-specific risk factors, while mitigating the potential harms of universal screening such as an increase in false positive tests and health care costs.

The association of minimum wage change on child nutritional status in LMICs: A quasi-experimental multi-country study.

There is recognition that social protection policies such as raising the minimum wage can favourably impact health, but little evidence links minimum wage increases to child health outcomes. We used multi-year data (2003-2012) on national minimum wages linked to individual-level data from the Demographic and Health Surveys (DHS) from 23 low- and middle-income countries (LMICs) that had least two DHS surveys to establish pre- and post-observation periods. Over a pre- and post-interval ranging from 4 to 8 years, we examined minimum wage growth and four nutritional status outcomes among children under 5 years: stunting, wasting, underweight, and anthropometric failure. Using a differences-in-differences framework with country and time-fixed effects, a 10% increase in minimum wage growth over time was associated with a 0.5 percentage point decline in stunting (-0.054, 95% CI (-0.084,-0.025)), and a 0.3 percentage point decline in failure (-0.031, 95% CI (-0.057,-0.005)). We did not observe statistically significant associations between minimum wage growth and underweight or wasting. We found similar results for the poorest households working in non-agricultural and non-professional jobs, where minimum wage growth may have the most leverage. Modest increases in minimum wage over a 4- to 8-year period might be effective in reducing child undernutrition in LMICs.

Addressing discriminatory benefit design for people living with HIV: a California case study.

Concern is growing in the United States regarding the potential for health insurance benefit designs to discriminate against persons living with HIV as research demonstrates that such practices are occurring. A recent complaint filed against health insurers in seven states alleges that some health insurance companies have been using benefit designs that discourage enrollment of people living with HIV either by not covering essential HIV medications or by requiring cost-sharing for these prohibitively expensive medications. Legislators across the country have reacted by introducing legislation to address these growing problems. This paper describes Assembly Bill 339, legislation passed in California in 2015 and going into effect on 1 January 2017, which provides protection for people living with HIV by requiring coverage for single-tablet regimens to manage HIV while placing a cap on patient cost-sharing. Given California's size and influence, and the uncertainty of the future of the Affordable Care Act, this legislation has the potential to influence the national policy debate.

Comparative effectiveness of two disparate policies on child health: experimental evidence from the Philippines.

BACKGROUND: Should health systems invest more in access to care by expanding insurance coverage or in health care services including improving the quality of care? Comparing these options experimentally would shed light on the impact and cost-effectiveness of these strategies. METHODS: The Quality Improvement Demonstration Study (QIDS) was a randomized policy experiment conducted across 30 districts in the Philippines. The study had a control group and two policy intervention groups intended to improve the health of young children. The demand-side intervention in QIDS was universal health insurance coverage (UHC) for children aged 5 years or younger, and a supply-side intervention, a pay-for-performance (P4P) bonus for all providers who met pre-determined quality levels. In this paper, we compare the impacts of these policies from the QIDS experiment on childhood wasting by calculating DALYs averted per US$spent. RESULTS: The direct per capita costs to implement UHC and P4P are US$4.08 and US$1.98 higher, respectively, compared to control. DALYs due to wasting were reduced by 334,862 in UHC and 1,073,185 in P4P. When adjustments are made for the efficiency of higher quality, the DALYS averted per US$ spent is similar in the two arms, 1.56 and 1.58 for UHC and P4P, respectively. Since the P4P quality improvements touches all patients seen by qualifying providers (32% in UHC versus 100% in P4P), there is a larger reduction in DALYs. With similar programmatic costs for either intervention, in this study, each US$spent under P4P yielded 1.52 DALYs averted compared to the standard program, while UHC yielded only a 0.50 DALY reduction. CONCLUSION: P4P had a greater impact and was more cost-effective compared to UHC as measured by DALYs averted. While expanded insurance benefit ceilings affected only those who are covered, P4P incentivizes practice quality improvement regardless of whether children are insured or uninsured.

Misdiagnosis of obstetrical cases and the clinical and cost consequences to patients: a cross-sectional study of urban providers in the Philippines.

BACKGROUND: Misdiagnosis may be a significant and under-recognized quality of care problem. In birthing facilities located in anurban Philippine setting, we investigated the diagnostic accuracy for three obstetric conditions: cephalopelvic disproportion (CPD), post-partum hemorrhage (PPH), and pre-eclampsia. DESIGN: Identical simulated cases were used to measure diagnostic accuracy for every provider (n=103). We linked misdiagnosis - identified by the simulated cases - to obstetrical complications of the patients at the participating facilities. Patient-level data on health outcomes and costs were obtained from medical records and follow-home in-person interviews. RESULTS: The prevalence of misdiagnosis among obstetric providers was 29.8% overall, 25% for CPD, 33% for PPH, and 31% for pre-eclampsia. Linking provider decision-making to patients, we found those who misdiagnosed the simulated cases were more likely to have patients with a complication (OR 2.96; 95% CI 1.39-3.77) compared with those who did not misdiagnose. Complicated patients were significantly less likely to be referred to a hospital immediately, were more likely to be readmitted to a hospital after delivery, had significantly higher medical costs, and lost more income than non-complicated patients. CONCLUSION: Diagnosis is arguably the most important task a clinician performs because it determines the subsequent course of evaluation and treatment, with the direct and indirect costs of diagnostic error, placing large financial burdens on the patient.

Longitudinal cohort study to determine effectiveness of a novel simulated case and feedback system to improve clinical pathway adherence in breast, lung and GI cancers.

OBJECTIVES: This study examined whether a measurement and feedback system led to improvements in adherence to clinical pathways. DESIGN: The M-QURE (Moffitt-Quality, Understanding, Research and Evidence) Initiative was introduced in 2012 to enhance and improve adherence to pathways at Moffitt Cancer Center (MCC) in three broad clinical areas: breast, lung and gastrointestinal (GI) cancers. M-QURE used simulated patient vignettes based on MCC's Clinical Pathways to benchmark clinician adherence and monitor change over three rounds of implementation. SETTING: MCC, located in Tampa, Florida, a National Cancer Institute Comprehensive Cancer Center. PARTICIPANTS: Three non-overlapping cohorts at MCC (one each in breast, lung and GI) totalling 48 providers participated in this study, with each member of the multidisciplinary team (composed of medical oncologists, radiation oncologists, surgeons and advanced practice providers) invited to participate. INTERVENTIONS: Each participant was asked to complete a set of simulated patient vignettes over three rounds within their own cancer specialty. Participants were required to complete all assigned vignettes over each of the three rounds, or they would be excluded from this study. PRIMARY OUTCOME MEASURE: Increased domain and overall provider care adherence to clinical pathways, as scored by blinded physician abstractors. RESULTS: We found significant improvements in pathway adherence between the third and first rounds of data collection particularly for workup and treatment of cancer cases. By clinical grouping, breast improved by 13.6% (p<0.001), and lung improved by 12.1% (p<0.001) over baseline, whereas GI showed a decrease of 1.4% (p=0.68). CONCLUSIONS: Clinical pathway adherence improved in a short timeframe for breast and lung cancers using group-level measurement and individual feedback. This suggests that a measurement and feedback programme may be a useful tool to improve clinical pathway adherence.

Improving Clinical Practice Using a Novel Engagement Approach: Measurement, Benchmarking and Feedback, A Longitudinal Study.

BACKGROUND: Poor clinical outcomes are caused by multiple factors such as disease progression, patient behavior, and structural elements of care. One other important factor that affects outcome is the quality of care delivered by a provider at the bedside. Guidelines and pathways have been developed with the promise of advancing evidence-based practice. Yet, these alone have shown mixed results or fallen short in increasing adherence to quality of care. Thus, effective, novel tools are required for sustainable practice change and raising the quality of care. METHODS: The study focused on benchmarking and measuring variation and improving care quality for common types of breast cancer at four sites across the United States, using a set of 12 Clinical Performance and Value(®) (CPV(®)) vignettes per site. The vignettes simulated online cases that replicate a typical visit by a patient as the tool to engage breast cancer providers and to identify and assess variation in adherence to evidence-based practice guidelines and pathways. RESULTS: Following multiple rounds of CPV measurement, benchmarking and feedback, we found that scores had increased significantly between the baseline round and the final round (P < 0.001) overall and for all domains. By round 4 of the study, the overall score increased by 14% (P < 0.001), and the diagnosis with treatment plan domain had an increase of 12% (P < 0.001) versus baseline. CONCLUSION: We found that serially engaging breast cancer providers with a validated clinical practice engagement and measurement tool, the CPVs, markedly increased quality scores and adherence to clinical guidelines in the simulated patients. CPVs were able to measure differences in clinical skill improvement and detect how fast improvements were made.

Managing specialty care in an era of heightened accountability: emphasizing quality and accelerating savings.

OBJECTIVES: Engaging specialists in accountable care organizations (ACOs) may make them more responsive to pressures to lower costs and raise quality. This paper introduces a novel accountable care design in cardiology. STUDY DESIGN: Preliminary study using baseline data. METHODS: The Accelerating Clinical Transformation for Creating Value and Controlling Cost in Cardiology concept study involved providers employed by the Providence Medical Group, Oregon. First, using claims data from 2009 through 2011, we created a historic budget to capture cardiovascular disease (CVD)-related costs for attributed patients on a per patient per year basis. Second, we introduced a validated quality metric, the Clinical Performance and Value vignette, to a sample of cardiology providers to examine clinical practice variation in treating coronary heart disease (CHD), coronary heart failure (CHF), and atrial fibrillation (AF). Lastly, we analyzed reimbursement claims paid for CHD, CHF, and AF, and forecasted potential cost savings from reductions in clinical variation. RESULTS: Examining historic costs, we found they were stable over time, but variable by provider and disease. Quality scores, measured against evidence-based cardiology guidelines, ranged from 48.9% to 85.4% (mean=66.8%; SD=5.4%), and the prevalence of unnecessary testing was 46% in CHD, 71% in CHF, and 30% in AF. We project that reducing unnecessary care by 15% to 25% would yield $200,000 to $498,000 in savings ($50-$83 per patient visit) annually. And, if the top 10% of providers as determined by CVD-related costs reduced their costs by 25%, savings would be an additional $283,512 per year. CONCLUSIONS: This accountable care design framework is timely for cardiology and could be applied for other specialty conditions, such as cancer.