Comparative effectiveness research
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Nicole Feldman
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Medical researchers must work together across disciplines to provide better health care to those who need it most, according to panelists at Stanford Medicine’s Annual Population Health Sciences Colloquium.

The symposium, hosted by the Stanford Center for Population Health Sciences, brought together working groups from across the Stanford campus to showcase the latest findings in population health research.

“Population health science at Stanford is likely to make the most important contributions when we cross traditional intellectual expertise disciplines,” said Paul H. Wise, a core faculty member at the Center for Health Policy/Center for Primary Care and Outcomes Research (CHP/PCOR).

Many of the scholars at the daylong conference on Tuesday stressed that an interdisciplinary approach to health care is crucial to understanding and aiding underserved populations.

“To deal with life-course questions we need to create-life course observational windows,” said Mark Cullen, chief of the Division of General Medical Disciplines and director of the Stanford Center for Population Health Sciences.

Instead of trying to create an all-encompassing care plan for the human population as a whole, panelists demonstrated that studying the needs of particular groups, or smaller populations, can better serve individuals within populations that may not receive the best care.

Douglas K. Owens, director of CHP/PCOR, said the U.S.  Preventive Services Task Force, of which he is a member, has “often faced a real paucity of data trying to develop prediction guidelines for both the very young and the old.”

The Task Force, a panel of experts that makes recommendations for medical prevention services, is generally able to make guidelines for large populations like adults, but suggestions for specialized groups like children and the elderly are more challenging. Though Stanford researchers like Wise are working to improve care for particular sectors like children, more study is needed.

Several speakers at the conference said the underserved population of poor children could benefit from research targeted toward their population group.

“We don’t really understand the biology of the life-course, why things taking place in gestation and early life actually affect healthy aging and adult onset disease,” said Wise, adding, “We have a very poor understanding of how to translate this understanding into effective interventions for communities in need.”

Panelists agreed that big data can help them understand smaller, poorly served populations, such as young children in impoverished communities. By collecting large amounts of data from the general population, researchers will increase the amount of data available for more specific groups. This allows researchers to study these populations more closely and help create better outcomes.

Abby King, a professor of health research and policy and of medicine, and Jason Wang, director of the Center for Policy, Outcomes and Prevention (CPOP) and a CHP/PCOR core faculty member, believe life-course digital applications can provide individualized care while collecting data on a large-scale.

According to King, a life-course app, or a device to track health and provide care throughout one’s life, would grow with the user and help them through important developmental stages.

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Wang has taken a first step toward creating such an app with PLAQUEMONSTER.  Intended for children eager for Halloween candy, the PLAQUEMONSTER app provides kids with a “tooth pet” they must keep safe from “plaquemonsters” and the so-called evil candy corporation. By flossing and brushing their teeth each day, kids earn points, and Wang’s team hopes the game will encourage good dental hygiene.

Health-care techniques using mobile devices, known as mHealth, could be particularly useful in underserved populations. King notes that even low-income populations have cell phones, so using phones as health-care tools could help decrease the gap between higher- and lower-income populations.

“I think for us one of the major challenges of the century is to really close that health-disparities gap and mHealth can help.”

However, each app must be tailored to the user.

“There’s no reason to believe that an African-American 16-year-old is going to be motivated the same way as a 45-year-old white man,” said Wang. “You need to involve patients in the design of the app.” When the app fits the specific patient’s needs, they are more likely to use it regularly, and knowing the needs of their population helps determine their preferences.

As the world continues to become more connected, the panelists said that reaching across disciplines and incorporating technology may hold the key to effective health care in the 21st century.

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Evaluating patients who may have coronary artery disease (CAD) is a challenging and extensive process. With an array of testing options and possible results, finding a method that is accurate, cost-effective, and as uninvasive as possible helps patients achieve a higher quality of life during the testing process. In a recent study, Mark Hlatky, a professor of medince and of Health Research and Policy, and his co-authors assessed a new evaluation method, fractional flow reserve (FFR), which may improve patients' quality of life and decrease costs while testing for CAD.

Using data collected in the PLATFORM (Prospective Longitudinal Trial of FFR: Outcomes and Resource Impacts) study, Hlatky et al. compared traditional invasive and noninvasive testing methods with techniques using FFR. Procedure costs and quality of life for patients were compared at the time of testing, then again 90 days after testing was completed.

The authors concluded that testing strategies using FFR were "associated with lower use of medical resources and significantly lower costs compared with a strategy of invasive coronary angiography."  When testing with FFR, less than half the normal rate of more invasive procedures were needed.  Their findings suggest that combining FFR strategies with more traditional methods could decrease the need for invasive procedures, saving money and improving quality of life for patients.

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Journal of the American College of Cardiology
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Mark A. Hlatky
Mark A. Hltaky
Bernard De Bruyne
Gianluca Pontone
Manesh R. Patel
Bjarne L. Norgaard
Robert A. Byrne
Nick Curzen
Ian Purcell
Matthias Gutberlet
Gilles Rioufol
Ulrich Hink
Herwig Walter Schuchlenz
Gudrun Feuchtner
Martine Gilard
Daniele Andreini
Jesper M. Jensen
Martin Hadamitzky
Alan Wilk
Furong Wang
Campbell Rogers
Pamela S. Douglas
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BACKGROUND: Current guidelines for economic evaluations of health interventions define relevant outcomes as those accruing to individuals receiving interventions. Little consensus exists on counting health impacts on current and future fertility and childbearing. Our objective was to characterize current practices for counting such health outcomes.
METHODS: We developed a framework characterizing health interventions with direct and/or indirect effects on fertility and childbearing and how such outcomes are reported. We identified interventions spanning the framework and performed a targeted literature review for economic evaluations of these interventions. For each article, we characterized how the potential health outcomes from each intervention were considered, focusing on quality-adjusted life-years (QALYs) associated with fertility and childbearing.
RESULTS: We reviewed 108 studies, identifying 7 themes: 1) Studies were heterogeneous in reporting outcomes. 2) Studies often selected outcomes for inclusion that tend to bias toward finding the intervention to be cost-effective. 3) Studies often avoided the challenges of assigning QALYs for pregnancy and fertility by instead considering cost per intermediate outcome. 4) Even for the same intervention, studies took heterogeneous approaches to outcome evaluation. 5) Studies used multiple, competing rationales for whether and how to include fertility-related QALYs and whose QALYs to include. 6) Studies examining interventions with indirect effects on fertility typically ignored such QALYs. 7) Even recent studies had these shortcomings. Limitations include that the review was targeted rather than systematic.
CONCLUSIONS: Economic evaluations inconsistently consider QALYs from current and future fertility and childbearing in ways that frequently appear biased toward the interventions considered. As the Panel on Cost-Effectiveness in Health and Medicine updates its guidelines, making the practice of cost-effectiveness analysis more consistent is a priority. Our study contributes to harmonizing methods in this respect.

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Medical Decision Making
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Jeremy Goldhaber-Fiebert
Jeremy Goldhaber-Fiebert
Margaret L. Brandeau
Margaret Brandeau
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Beth Duff-Brown
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Foreign aid to the public health sectors of developing countries often appears to be allocated backwards: The global burden of non-communicable diseases such as diabetes or heart disease is enormous – yet they receive little health aid. 

By comparison, the global burden of HIV is much smaller, yet it receives more health aid than any other single disease.

So will a wholesale reversal in health aid priorities improve global health? The answer, according to a new study by Stanford researchers, is that if the goal is to maximize the health benefits from each donor dollar, health aid is actually allocated pretty well.

Still, reallocating foreign aid to step up the fight against malaria and TB could lead to greater overall health improvements in developing nations. And it could be done without spending more money, the researchers have found.

Eran Bendavid, an assistant professor in the Department of Medicine and a core faculty member at the Center for Health Policy and Center for Primary Care and Outcomes Research, and three Stanford research assistants write in the July issue of Health Affairs that more health aid is going to disease categories with more cost-effective interventions.

"What we found, somewhat to our surprise, is that in nearly all countries, more aid was flowing to finance priorities with more cost-effective options,” Bendavid said in an interview. “That is partly because more aid was flowing to the treatment and prevention of infectious diseases such as HIV and malaria, and their management can be relatively inexpensive, even if the burden of these diseases is lower than that of non-communicable diseases.”

Bendavid, an infectious disease physician, added: “Conversely, even though the burden of non-communicable diseases is high and growing, addressing these chronic conditions such as diabetes and heart disease is, broadly, more costly than the unfinished infectious disease agenda.”

The authors also show that just because health aid is broadly allocated toward better cost-effectiveness does not mean that it cannot be better allocated.

The biggest gains would come from taking some of the foreign aid earmarked for HIV or maternal, newborn or child health, and putting it toward programs to treat malaria and tuberculosis, they write.

The Stanford research team reviewed the literature for cost-effectiveness of interventions targeting five disease categories: HIV, malaria, tuberculosis, non-communicable disease and maternal, newborn and child health.

What they found was that aid from wealthy nations to developing ones might be allocated efficiently, but that the money is not always spent in the best interest of curbing the communicable diseases that would improve the overall health of a nation.

It is crucial, therefore, to further study the consequences of realignment of donor funds.

Public health aid is critical to most developing countries. Development assistance from high-income countries to public health sectors of low- and middle-income countries amounts to nearly 40 percent of public health spending in countries with a per capita GDP of less than $2,000.

The researchers focused on 20 countries that received the greatest total amount of aid between 2008 and 2011, a period of historically unprecedented growth in health aid. Development assistance has since flattened, however, so the authors believe it’s increasingly important to consider best value when investing limited resources.

The 20 countries studied ­– from Afghanistan to Zambia – received $58 billion out of the total $103.2 billion in recorded health aid disbursements to 170 countries between 2001 and 2011.

“Over the period of 2001-2011, a greater amount of disbursements flowed to HIV programs than any other disease category,” the authors write. “On average, interventions addressing malaria and had the lowest incremental cost-effectiveness ratio (ICER), which indicates that malaria interventions could yield greater health improvements from each dollar compared with the interventions having a higher ICER.”

The authors analyzed the data and determined that the alignment improves if up to 61 percent of HIV aid is reallocated for TB control and up to 80 percent is reallocated for malaria control.

“Our evidence suggests that the greatest improvements in the efficiency of global health dollars could result from reallocating funds to malaria and TB control programs,” the authors write.

“This study shows, for the first time, that the current allocation of health aid is generally aligned with the cost-effectiveness of targeted interventions. Contrary to common views that advocate for reprioritization toward non-communicable diseases, our data suggest that the alignment could best be improved by focusing on malaria and TB, especially where addressing those diseases is highly cost effective.”

The other authors of the study are Andrew Duong and Gillian Raikes, both research assistants in the Program of Human Biology; and Charlotte Sagan, a RA in the School of Medicine.

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The increasing resistance to antimicrobial drugs is a growing public health concern, particularly in low- and middle-income countries that require high out-of-pocket payments for prescription drugs.

“Understanding the drivers of antibiotic resistance in low- to middle-income countries is important for wealthier nations because antibiotic-resistant pathogens, similar to other communicable diseases, do not respect national boundaries,” said Marcella Alsan, MD, PhD, MPH, the lead author of the study, which was published July 9 in The Lancet Infectious Disease.

Alsan is an assistant professor of medicine at Stanford, an investigator at the Veterans Affairs Palo Alto Health Care System and a core faculty member at the Center for Health Policy/Center for Primary Care and Outcomes Research.

“Out-of-pocket health expenditures are a major source of health-care financing in the developing world,” said Jay Bhattacharya, MD, PhD, senior author of the study and a professor of medicine, a senior fellow at the Freeman Spogli Institute for International Studies and another core faculty member at CHP/PCOR.

 

Read the full article here.

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Annals of Emergency Medicine
Authors
Mucio Kit Delgado
Kristan L. Staudenmayer
Nancy Ewen Wang
David A. Spain
Sharada Weir
Douglas K. Owens
Douglas K. Owens
Jeremy Goldhaber-Fiebert
Jeremy Goldhaber-Fiebert
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Background: Prisons of the former Soviet Union (FSU) have high rates of multidrug-resistant tuberculosis (MDR-TB) and are thought to drive general population tuberculosis (TB) epidemics. Effective prison case detection, though employing more expensive technologies, may reduce long-term treatment costs and slow MDR-TB transmission.

Methods and Findings: We developed a dynamic transmission model of TB and drug resistance matched to the epidemiology and costs in FSU prisons. We evaluated eight strategies for TB screening and diagnosis involving, alone or in combination, self-referral, symptom screening, mass miniature radiography (MMR), and sputum PCR with probes for rifampin resistance (Xpert MTB/RIF). Over a 10-y horizon, we projected costs, quality-adjusted life years (QALYs), and TB and MDR-TB prevalence. Using sputum PCR as an annual primary screening tool among the general prison population most effectively reduced overall TB prevalence (from 2.78% to 2.31%) and MDR-TB prevalence (from 0.74% to 0.63%), and cost US$543/QALY for additional QALYs gained compared to MMR screening with sputum PCR reserved for rapid detection of MDR-TB. Adding sputum PCR to the currently used strategy of annual MMR screening was cost-saving over 10 y compared to MMR screening alone, but produced only a modest reduction in MDR-TB prevalence (from 0.74% to 0.69%) and had minimal effect on overall TB prevalence (from 2.78% to 2.74%). Strategies based on symptom screening alone were less effective and more expensive than MMR-based strategies. Study limitations included scarce primary TB time-series data in FSU prisons and uncertainties regarding screening test characteristics.

Conclusions: In prisons of the FSU, annual screening of the general inmate population with sputum PCR most effectively reduces TB and MDR-TB prevalence, doing so cost-effectively. If this approach is not feasible, the current strategy of annual MMR is both more effective and less expensive than strategies using self-referral or symptom screening alone, and the addition of sputum PCR for rapid MDR-TB detection may be cost-saving over time. 

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PLoS Medicine
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Winetsky DE
Negoescu DM
Almukhamedova O
DeMarchis E
Dooronbekova A
Pulatov D
Vezhnina N
Zhussupov B
Douglas K. Owens
Douglas K. Owens
Jeremy Goldhaber-Fiebert
Jeremy Goldhaber-Fiebert
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Annals of Internal Medicine
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Juusola, J.L.
Margaret L. Brandeau
Margaret L. Brandeau
Douglas K. Owens
Douglas K. Owens
Eran Bendavid
Eran Bendavid
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PLoS One
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Cipriano, L.E.
Zaric, G.S.
Mark Holodniy
Mark Holodniy
Eran Bendavid
Eran Bendavid
Douglas K. Owens
Douglas K. Owens
Margaret L. Brandeau
Margaret L. Brandeau
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