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.

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).

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.

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.

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.

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.

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.

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.

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.

Building a provider network based on quality: The Moffitt Oncology Network initiative

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Background: Before entering into risk bearing contracts with payors, ACOs are challenged to find a basis for forming partnerships. Specialty ACO networks, in particular, must find ways to provide a common, high standard of care among a typically varied set of partners. The Moffitt Oncology Network (MON) Initiative demonstrates a possible solution to forming a value based ACO network across a broad geographical area that is based upon using clinical pathways. Methods: Moffitt Cancer Center (MCC) has developed more than 24 different disease specific pathways. The MCC pathways translate evidence-based guidelines into personalized cancer care throughout the continuum of care from evaluation to treatment. MCC is using these pathways with other hospital systems and physician groups throughout the MON. To enhance the use of pathways in the MON, MCC uses Clinical Performance and Value (CPV) Vignettes. CPV’s, are virtual patient cases related to the specific clinical pathways. The report herein is on pathway implementation in several disease areas (breast, lung and gastrointestinal (GI) cancers) across multiple sites: Lehigh Valley Hospital (Pennsylvania), Norton Cancer Institute (Kentucky), and Space Coast Cancer Center (Florida). Results: Pathway based clinical care was measured at baseline using CPVs across disease and site (Table). A total of 67 breast cancer providers took 131 breast cancer vignettes; 35 lung cancer providers took 104 lung cancer vignettes; and to date 27 GI cancer providers have taken 54 GI vignettes. There is statistically significant variation in performance among providers and between sites. This is manifest in pathway-specified areas of work-up, diagnosis, and treatment. Conclusions: Fostering adoption of clinical pathways is a practical objective that can help guide the formation of an ACO oncology network. This may be useful for forming specialty ACOs that establish a standard of care and set the stage for adopting new payment models with payors. [Table: see text]

New thinking on clinical utility: hard lessons for molecular diagnostics

OBJECTIVES

To describe 5 basic requirements for planning, implementing, and proving clinical utility for diagnostic tests, drawing on recent reimbursement decisions.

STUDY DESIGN

Review of recent reimbursement decisions by Palmetto GBA's MolDx program, and summary of lessons learned.

METHODS

Qualitative review of publicly available coverage and reimbursement decisions, plus our industry experience.

RESULTS

Lack of clinical utility data is the most commonly cited reason for why companies fail to receive favorable coverage and reimbursement decisions in this rapidly growing industry. We summarize 5 strategies to establish clinical utility and secure coverage with reimbursement: 1) understanding that outcomes are hard to capture, but that clinical behavior change is always proximate to outcomes change, 2) starting clinical utility studies early, 3) learning from successes and failures, 4) determining clinical utility with rigorous science, and 5) understanding that clinical utility studies may need to involve private payers and providers from the start.

CONCLUSIONS

Coverage and reimbursement are shifting from relatively low entry barriers to higher, evidence-based barriers that will require test developers to generate evidence of the net clinical benefits before widespread clinical use will occur. Concerted, early investment in rigorously designed clinical utility studies is necessary.

Building a specialty accountable care organization (ACO) for cancer: Using cost groupers in breast cancer (BC) and malignant hematology (MH)

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Background: New payment models, such as accountable care organizations (ACOs), bundled payments and global budgets will shift some financial risk from payers to providers. The first step in creating a cancer ACO will be to partner with payers to understand aggregate costs over time. Methods: Moffitt Cancer Center (MCC) is partnering with Florida Blue in (BCBS of FL) in developing a specialty ACO strategy for cancer. As an initial step, we created an analytical framework to group and estimate the total costs of cancer care for newly diagnosed breast cancer (BC) and malignant hematology (MH) patients. We used HIPPA-compliant Florida Blue claims billings from 2010-2012 to capture all episodes of care within each calendar year. BC and MH patients were attributed to MCC if they had at least 3 annual visits. Claims from attributed patients were grouped into 7 categories. We calculated the annual costs and the costs by category to generate a Per Member Per Year (PMPY) cost and determine the stability and/or trends in these costs. Results: The PMPY data for the three years (2010, 2011, 2012) were stable over time. Important trends, however, were noted: outpatient (OP) costs, which include infusion chemotherapy, rose similarly (16 and 13%, respectively), inpatient (IP) costs for BC increased 10%, compared to an 8% decrease in IP cost for MH over the 3 years. Physician costs remained stable, consistent with other reports. Conclusions: Moving away from volume-based reimbursement requires building partnerships between payers and providers. We created disease-based cost groupers for two cancer conditions as a first step. Cost trends were stable over time. These findings will give payers and partners confidence to explore ways to improve quality and reducing cost as they consider new arrangements such as a specialty ACO. [Table: see text]

The impact of performance incentives on child health outcomes: results from a cluster randomized controlled trial in the Philippines

Improving clinical performance using measurement and payment incentives, including pay for performance (or P4P), has, so far, shown modest to no benefit on patient outcomes. Our objective was to assess the impact of a P4P programme on paediatric health outcomes in the Philippines. We used data from the Quality Improvement Demonstration Study. In this study, the P4P intervention, introduced in 2004, was randomly assigned to 10 community district hospitals, which were matched to 10 control sites. At all sites, physician quality was measured using Clinical Performance Vignettes (CPVs) among randomly selected physicians every 6 months over a 36-month period. In the hospitals randomized to the P4P intervention, physicians received bonus payments if they met qualifying scores on the CPV. We measured health outcomes 4-10 weeks after hospital discharge among children 5 years of age and under who had been hospitalized for diarrhoea and pneumonia (the two most common illnesses affecting this age cohort) and had been under the care of physicians participating in the study. Health outcomes data collection was done at baseline/pre-intervention and 2 years post-intervention on the following post-discharge outcomes: (1) age-adjusted wasting, (2) C-reactive protein in blood, (3) haemoglobin level and (4) parental assessment of child's health using general self-reported health (GSRH) measure. To evaluate changes in health outcomes in the control vs intervention sites over time (baseline vs post-intervention), we used a difference-in-difference logistic regression analysis, controlling for potential confounders. We found an improvement of 7 and 9 percentage points in GSRH and wasting over time (post-intervention vs baseline) in the intervention sites relative to the control sites (P ≤ 0.001). The results from this randomized social experiment indicate that the introduction of a performance-based incentive programme, which included measurement and feedback, led to improvements in two important child health outcomes.

Impact of rheumatoid arthritis disease activity test on clinical practice

Background

Variability exists in the assessment of disease activity in rheumatoid arthritis (RA) patients that may affect quality of care.

Objectives

To measure the impact on quality of care of a Multi-Biomarker Disease Activity (MBDA) test that quantitatively assesses RA disease activity.

Methods

Board-certified rheumatologists without prior experience with the MBDA test (N = 81) were randomized into an intervention or control group as part of a longitudinal randomized-control study. All physicians were asked to care for three simulated RA patients, using Clinical Performance and Value (CPV™) vignettes, in a before and after design. CPV™ vignettes have been validated to assess the quality of clinical practice and identify variation in care. The vignettes covered all domains of a regular patient visit; scores were determined as a percentage of explicit predefined criteria completed. Three vignettes, representing typical RA cases, were administered each round. In the first round, no physician received information about the MBDA test. In the second round, only physicians in the intervention group were given educational materials about the test and hypothetical test results for each of the simulated patients. The outcome measures were the overall quality of care, disease assessment and treatment.

Results

The overall quality scores in the intervention group improved by 3 percent (p = 0.02) post-intervention compared with baseline, versus no change in the control group. The greatest benefit in the intervention group was to the quality of disease activity assessment and treatment decisions, which improved by 12 percent (p<0.01) compared with no significant change in the control group. The intervention was associated with more appropriate use of biologic and/or combination DMARDs in the co-morbidity case type (p<0.01).

Conclusions

Based on these results, use of the MBDA test improved the assessment and treatment decisions for simulated cases of RA and may prove useful for rheumatologists in clinical practice.

Evidence of a causal link between health outcomes, insurance coverage, and a policy to expand access: experimental data from children in the Philippines

In this paper, we present evidence on the health effects of a health insurance intervention targeted to poor children using data from a randomized policy experiment known as the Quality Improvement Demonstration Study. Among study participants, using a difference-in-difference regression model, we estimated a 9-12 and 4-9 percentage point reduction in the likelihood of wasting and having an infection, respectively, as measured by a common biomarker C-reactive Protein. Interestingly, these benefits were not apparent at the time of discharge; the beneficial health effects were manifest several weeks after release from the hospital.

Pushing on a String: How policy might encourage private doctors to compete with the public sector on the basis of quality

Results from the Philippine Quality Improvement Demonstration Study show that a policy that expands insurance coverage improves quality of care, as measured by clinical performance vignettes, among public physicians, and induces a spillover effect that improves quality among private physicians.

Understanding Predictors of Postdischarge Deaths: A Prospective Evaluation of Children 5 Years and Younger Discharged From Philippine District Hospitals

Background. Factors that increase likelihood of readmission or mortality postdischarge from diarrhea and pneumonia cases among children is less understood. Methods. This study investigated the deaths of 24 children from a cohort of 3275. Using logistic regression, the authors compared data from those who survived with those who died to estimate the determinants of mortality in the study population. The authors also analyzed the hospital charts and completed mortality interviews with families of the deceased children. Results. Poor quality of care significantly increased the likelihood of mortality. Sicker children, those born to less-educated mothers, and those who had longer lengths of stay also had a higher likelihood of mortality. Hospital charts corroborated findings from clinical vignettes. The mortality interviews revealed delays in seeking care from onset of symptoms. Conclusion. Quality of care contributes to postdischarge mortality and that clinical vignettes are an effective means to identify where quality can be improved.

The health and cost impact of care delay and the experimental impact of insurance on reducing delays

OBJECTIVE

To examine whether delays in seeking care are associated with worse health outcomes or increased treatment costs in children, and then assess whether insurance coverage reduces these delays.

STUDY DESIGN

We use data on 4070 children younger than 5 years from the Quality Improvement Demonstration Study, a randomized controlled experiment assessing the effects of increasing insurance coverage. We examined whether delay in care, defined as greater than 2 days between the onset of symptoms and admission to the study district hospitals, is associated with wasting or having positive C-reactive protein levels on discharge, and with total charge for hospital admission; we also evaluated whether increased benefit coverage and enrollment reduced the likelihood of delay.

RESULTS

Delay is associated with 4.2% and 11.2% percentage point increases in the likelihood of wasting (P = .08) and having positive C-reactive protein levels (P = .03), respectively, at discharge. On average, hospitalization costs were 1.9% higher with delay (P = .04). Insurance intervention results in 5 additional children in 100 not delaying going to the hospital (P = .02).

CONCLUSIONS

In this population, delayed care is associated with worse health outcomes and higher costs. Access to insurance reduced delays; thus insurance interventions may have positive effects on health outcomes.

A novel method for measuring health care system performance: experience from QIDS in the Philippines

OBJECTIVES

Measuring and monitoring health system performance is important albeit controversial. Technical, logistic and financial challenges are formidable. We introduced a system of measurement, which we call Q, to measure the quality of hospital clinical performance across a range of facilities. This paper describes how Q was developed, implemented in hospitals in the Philippines and how it compares with typical measures.

METHODS

Q consists of measures of clinical performance, patient satisfaction and volume of physician services. We evaluate Q using experimental data from the Quality Improvement Demonstration Study (QIDS), a randomized policy experiment. We determined its responsiveness over time and to changes in structural measures such as staffing and supplies. We also examined the operational costs of implementing Q.

RESULTS

Q was sustainable, minimally disruptive and readily grafted into existing routines in 30 hospitals in 10 provinces semi-annually for a period of 2(1/2) years. We found Q to be more responsive to immediate impacts of policy change than standard structural measures. The operational costs totalled USD2133 or USD305 per assessment per site.

CONCLUSION

Q appears to be an achievable assessment tool that is a comprehensive and responsive measure of system level quality at a limited cost in resource-poor settings.

An evaluation of the cost-effectiveness of policy navigators to improve access to care for the poor in the Philippines

OBJECTIVES

Even when health insurance coverage is available, health policies may not be effective at increasing coverage among vulnerable populations. New approaches are needed to improve access to care. We experimentally introduced a novel intervention that uses Policy Navigators to increase health insurance enrollment in a poor population.

METHODS

We used data from the Quality Improvement Demonstration Study (QIDS), a randomized experiment taking place at the district level in the Visayas region of the Philippines. In two arms of the study, we compared the effects of introducing Policy Navigators to controls. The Policy Navigators advocated for improved access to care by providing regular system-level expertise directly to the policy-makers, municipal mayors and governors responsible for paying for and enrolling poor households into the health insurance program. Using regression models, we compared levels of enrollment in our intervention versus control sites. We also assessed the cost-effectiveness of marginal increases in enrollment.

RESULTS

We found that Policy Navigators improved enrollment in health insurance between 39% and 102% compared to the controls. Policy navigators were cost-effective at 0.86 USD per enrollee. However, supplementary national government campaigns, which were implemented to further increase coverage, attenuated normal enrollment efforts.

CONCLUSION

Policy Navigators appear to be effective in improving access to care and their success underscores the importance of local-level strategies for improving enrollment.

Underutilization of social insurance among the poor: evidence from the Philippines

BACKGROUND

Many developing countries promote social health insurance as a means to eliminate unmet health needs. However, this strategy may be ineffective if there are barriers to fully utilizing insurance.

METHODS

We analyzed the utilization of social health insurance in 30 hospital districts in the central regions of the Philippines between 2003 and 2007. Data for the study came from the Quality Improvement Demonstration Study (QIDS) and included detailed patient information from exit interviews of children under 5 years of age conducted in seven waves among public hospital districts located in the four central regions of the Philippines. These data were used to estimate and identify predictors of underutilization of insurance benefits--defined as the likelihood of not filing claims despite having legitimate insurance coverage--using logistic regression.

RESULTS

Multivariate analyses using QIDS data from 2004 to 2007 reveal that underutilization averaged about 15% throughout the study period. Underutilization, however, declined over time. Among insured hospitalized children, increasing length of stay in the hospital and mother's education, were associated with less underutilization. Being in a QIDS intervention site was also associated with less underutilization and partially accounts for the downward trend in underutilization over time.

DISCUSSION

The surprisingly high level of insurance underutilization by insured patients in the QIDS sites undermines the potentially positive impact of social health insurance on the health of the marginalized. In the Philippines, where the largest burden of health care spending falls on households, underutilization suggests ineffective distribution of public funds, failing to reach a significant proportion of households which are by and large poor. Interventions that improve benefit awareness may combat the problem of underutilization and should be the focus of further research in this area.

Should we have confidence if a physician is accredited? A study of the relative impacts of accreditation and insurance payments on quality of care in the Philippines

It is unclear whether health provider accreditation ensures or promotes quality of care. Using baseline data from the Quality Improvement Demonstration Study (QIDS) in the Philippines we measured the quality of pediatric care provided by private and public doctors working at the district hospital level in the country's central region. We found that national level accreditation by a national insurance program influences quality of care. However, our data also show that insurance payments have a similar, strong impact on quality of care. These results suggest that accreditation alone may not be sufficient to promote high quality of care. Further improvements may be achieved with properly monitored and well-designed payment or incentive schemes.

The Quality Improvement Demonstration Study: an example of evidence-based policy-making in practice

Background

Randomized trials have long been the gold-standard for evaluating clinical practice. There is growing recognition that rigorous studies are similarly needed to assess the effects of policy. However, these studies are rarely conducted. We report on the Quality Improvement Demonstration Study (QIDS), an example of a large randomized policy experiment, introduced and conducted in a scientific manner to evaluate the impact of large-scale governmental policy interventions.

Methods

In 1999 the Philippine government proposed sweeping reforms in the National Health Sector Reform Agenda. We recognized the unique opportunity to conduct a social experiment. Our ongoing goal has been to generate results that inform health policy. Early on we concentrated on developing a multi-institutional collaborative effort. The QIDS team then developed hypotheses that specifically evaluated the impact of two policy reforms on both the delivery of care and long-term health status in children. We formed an experimental design by randomizing matched blocks of three communities into one of the two policy interventions plus a control group. Based on the reform agenda, one arm of the experiment provided expanded insurance coverage for children; the other introduced performance-based payments to hospitals and physicians. Data were collected in household, hospital-based patient exit, and facility surveys, as well as clinical vignettes, which were used to assess physician practice. Delivery of services and health status were evaluated at baseline and after the interventions were put in place using difference-in-difference estimation.

Results

We found and addressed numerous challenges conducting this study, namely: formalizing the experimental design using the existing health infrastructure; securing funding to do research coincident with the policy reforms; recognizing biases and designing the study to account for these; putting in place a broad data collection effort to account for unanticipated findings; introducing sustainable policy interventions based on the reform agenda; and providing results in real-time to policy makers through a combination of venues.

Conclusion

QIDS demonstrates that a large, prospective, randomized controlled policy experiment can be successfully implemented at a national level as part of sectoral reform. While we believe policy experiments should be used to generate evidence-based health policy, to do this requires opportunity and trust, strong collaborative relationships, and timing. This study nurtures the growing attitude that translation of scientific findings from the bedside to the community can be done successfully and that we should raise the bar on project evaluation and the policy-making process.

Public health impact of extremely low-frequency electromagnetic fields

INTRODUCTION

The association between exposure to extremely low-frequency electric and magnetic fields (ELF) and childhood leukemia has led to the classification of magnetic fields by the International Agency for Research on Cancer as a "possible human carcinogen." This association is regarded as the critical effect in risk assessment. Creating effective policy in light of widespread exposure and the undisputed value of safe, reliable, and economic electricity to society is difficult and requires estimates of the potential public health impact and associated uncertainties.

OBJECTIVES

Although a causal relationship between magnetic fields and childhood leukemia has not been established, we present estimates of the possible pubic health impact using attributable fractions to provide a potentially useful input into policy analysis under different scenarios.

METHODS

Using ELF exposure distributions from various countries and dose-response functions from two pooled analyses, we calculate country-specific and worldwide estimates of attributable fractions (AFs) and attributable cases.

RESULTS

Even given a wide range of assumptions, we find that the AF remains < 10%, with point estimates ranging from < 1% to about 4%. For small countries with low exposure, the number of attributable cases is less than one extra case per year. Worldwide the range is from 100 to 2,400 cases possibly attributable to ELF exposure.

CONCLUSION

The fraction of childhood leukemia cases possibly attributable to ELF exposure across the globe appears to be small. There remain, however, a number of uncertainties in these AF estimates, particularly in the exposure distributions.

Projected health impact of the Los Angeles City living wage ordinance

STUDY OBJECTIVE

To estimate the relative health effects of the income and health insurance provisions of the Los Angeles City living wage ordinance.

SETTING AND PARTICIPANTS

About 10 000 employees of city contractors are subject to the Los Angeles City living wage ordinance, which establishes an annually adjusted minimum wage (7.99 US dollars per hour in July 2002) and requires employers to contribute 1.25 US dollars per hour worked towards employees' health insurance, or, if health insurance is not provided, to add this amount to wages.

DESIGN

As part of a comprehensive health impact assessment (HIA), we used estimates of the effects of health insurance and income on mortality from the published literature to construct a model to estimate and compare potential reductions in mortality attributable to the increases in wage and changes in health insurance status among workers covered by the Los Angeles City living wage ordinance.

RESULTS

The model predicts that the ordinance currently reduces mortality by 1.4 deaths per year per 10,000 workers at a cost of 27.5 million US dollars per death prevented. If the ordinance were modified so that all uninsured workers received health insurance, mortality would be reduced by eight deaths per year per 10,000 workers at a cost of 3.4 million US dollars per death prevented.

CONCLUSIONS

The health insurance provisions of the ordinance have the potential to benefit the health of covered workers far more cost effectively than the wage provisions of the ordinance. This analytical model can be adapted and used in other health impact assessments of related policy actions that might affect either income or access to health insurance in the affected population.

The burden of disease, economic costs and clinical consequences of tuberculosis in the Philippines

OBJECTIVE

To provide a multidisciplinary and comprehensive analysis on the impact of tuberculosis (TB) in a high incidence country.

METHODS

Data from several large scale surveys, carried out between 1997 and 2001 in the Philippines, were used to: (1) perform a burden of disease (BoD) analysis, (2) model the economic costs to society due to lost wages, and (3) determine the clinical outcomes, including the costs of care, for a hypothetical cohort of TB cases.

RESULTS

Over 500 000 disability-adjusted life years (DALYs) are lost due to illness and premature mortality from TB in the Philippines annually. This is equal to 9% of all years of life lost (YLL) in the Philippines. The combined economic losses due to premature mortality and morbidity total PhP 8 billion (approximately USD $145 million). Clinically, only 28% of patients with incident active TB are diagnosed and successfully treated, while 20% of patients will die without ever being diagnosed and 6% more will die after they are diagnosed because they do not receive adequate care. The costs of treating all expected cases requires between PhP 475-1625 million (approximately USD $8-29 million) annually.

CONCLUSION

The high burden of disease from TB, large economic losses from mortality and morbidity from TB and the poor clinical outcomes all suggest that there is an urgent need for an increased investment in TB control. The costs of providing this treatment appear to be significantly lower than the current economic losses.

Developing policy in the face of scientific uncertainty: interpreting 0.3 microT or 0.4 microT cutpoints from EMF epidemiologic studies

There has been considerable scientific effort to understand the potential link between exposures to power-frequency electric and magnetic fields (EMF) and the occurrence of cancer and other diseases. The combination of widespread exposures, established biological effects from acute, high-level exposures, and the possibility of leukemia in children from low-level, chronic exposures has made it both necessary and difficult to develop consistent public health policies. In this article we review the basis of both numeric standards and precautionary-based approaches. While we believe that policies regarding EMF should indeed be precautionary, this does not require or imply adoption of numeric exposure standards. We argue that cutpoints from epidemiologic studies, which are arbitrarily chosen, should not be used as the basis for making exposure limits due to a number of uncertainties. Establishment of arbitrary numeric exposure limits undermines the value of both the science-based numeric EMF exposure standards for acute exposures and precautionary approaches. The World Health Organization's draft Precautionary Framework provides guidance for establishing appropriate public health policies for power-frequency EMF.

Methodologies for realizing the potential of health impact assessment

Health impact assessment (HIA), a systematic assessment of potential health impacts of proposed public polices, programs, and projects, offers a means to advance population health by bringing public health research to bear on questions of public policy. The United States has been slow to adopt HIA, but considerable strides have been made in many other countries, and under the auspices of the World Health Organization and World Bank. Varied applications in these diverse milieu have given rise to diverse approaches to HIA-quantitative/analytic, participatory, and procedural-each with distinct disciplinary foundations, goals, and methodologies. Suitability of these approaches for different applications and their challenges are highlighted, along with areas in which methodologic work is most needed and most likely to advance the field from theory and infrequent application to more routine practice in the United States.

Childhood leukemia and EMF: Review of the epidemiologic evidence

All populations are exposed to varying degrees of electromagnetic fields (EMF); in this study we consider only extremely low frequency (ELF) and radio frequency (RF) fields. After the first study of ELF and childhood leukemia in 1979, intensive epidemiologic investigation has sought to shed light on the potential relation between EMF and childhood leukemia. Consistent associations from epidemiologic studies and two pooled analyses have been the basis for the classification of ELF as a possible carcinogen by the International Agency for Research on Cancer (IARC). The study of RF is still in its infancy and little is known about residential RF exposure or its potential effects on childhood leukemia. The purpose of this study, presented at the WHO Workshop on Sensitivity of Children to EMF in Istanbul, Turkey in June 2004, is to review and critically assess the epidemiologic evidence on EMF and childhood leukemia.

Tobacco control in India

Legislation to control tobacco use in developing countries has lagged behind the dramatic rise in tobacco consumption. India, the third largest grower of tobacco in the world, amassed 1.7 million disability-adjusted life years (DALYs) in 1990 due to disease and injury attributable to tobacco use in a population where 65% of the men and 38% of the women consume tobacco. India's anti-tobacco legislation, first passed at the national level in 1975, was largely limited to health warnings and proved to be insufficient. In the last decade state legislation has increasingly been used but has lacked uniformity and the multipronged strategies necessary to control demand. A new piece of national legislation, proposed in 2001, represents an advance. It includes the following key demand reduction measures: outlawing smoking in public places; forbidding sale of tobacco to minors; requiring more prominent health warning labels; and banning advertising at sports and cultural events. Despite these measures, the new legislation will not be enough to control the demand for tobacco products in India. The Indian Government must also introduce policies to raise taxes, control smuggling, close advertising loopholes, and create adequate provisions for the enforcement of tobacco control laws.

Engineered metal binding sites on green fluorescence protein

The ability to assay a variety of metals by noninvasive methods has applications in both biomedical and environmental research. Green fluorescent protein (GFP) is a protein isolated from coelenterates that exhibits spontaneous fluorescence. GFP does not require any exogenous cofactors for fluorescence, and can be easily appended to other proteins at the DNA level, producing a fluorescence-labeled target protein in vivo. Metals in close proximity to chromophores are known to quench fluorescence in a distance-dependent fashion. Potential metal binding sites on the surface of GFP have been identified and mutant proteins have been designed, created, and characterized. These metal-binding mutants of GFP exhibit fluorescence quenching at lower transition metal ion concentrations than those of the wild-type protein. These GFP mutants represent a new class of protein-based metal sensors.