Smart Agents to Reduce the Parent Health Literacy Burden in the Care of the Children with Medical Complexity
(Partner: Harvard University School of Engineering and Applied Science)
This inter-disciplinary project addresses two formidable health care realities: the growing number of patients with chronic conditions who require coordinated care from multiple medical providers, and a growing chasm between the complexity of health information and individuals’ health literacy. To meet these challenges, researchers are developing the following four computational capabilities that would support parents caring for children with medical complexity:
Assessing Health Costs and Use for Children with Special Healthcare Needs: Analytic Strategy for CCS Administrative Data
More than 70 percent of U.S. child health care resources are committed to the 5 percent of children with the most complex of medical conditions. Fiscal pressures, reforms to the Medicaid program, and implementation of the Affordable Care Act (ACA) provide opportunities to reduce inefficiencies and to expand access to high-quality subspecialty care for these children.
Consortium for Health Care Informatics Research (CHIR): Translational Use Case Project Natural Language Processing of Chest Radiograph Reports
The Consortium for Healthcare Informatics Research (CHIR) is a multisite project funded by Department of Veterans Affairs Health Services Research and Development (HSR&D). The projects develops methods in natural language processing (NLP) to advance the effective use of unstructured text and other types of electronic health record (EHR) clinical data to improve the health and health care of Veterans.
Survey using Incognito Standardized Patients Shows Poor Quality Care in China’s Rural Clinics
Over the past decade, China has implemented reforms designed to expand access to health care in rural areas. Little objective evidence exists, however, on the quality of that care. This paper reports results from a standardized patient study designed to assess the quality of care delivered by village clinicians in rural China. To measure quality, we recruited individuals from the local community to serve as undercover patients and trained them to present consistent symptoms of two common illnesses (dysentery and angina). Based on 82 covert interactions between the standardized patients and local clinicians, we find that the quality of care is low as measured by adherence to clinical checklists and the rates of correct diagnoses and treatments. Further analysis suggests that quality is most strongly correlated with provider qualifications. Our results highlight the need for policy action to address the low quality of care delivered by grassroots providers.
Supplier-induced Demand in Newborn Treatment: Evidence from Japan
We measure the degree of supplier-induced demand in newborn treatment, by exploiting changes in reimbursement arising from the introduction in Japan of the partial prospective payment system (PPS). Under the partial PPS, neonatal intensive care unit (NICU) utilization became relatively more profitable than other procedures, since it was excluded from prospective payments. We find that hospitals respond to PPS adoption by increasing NICU utilization and more frequently manipulating infants' reported birth weights -- the latter of which is a measure that determines the infant's maximum allowable length of stay in NICU. This induced demand substantially increases hospitals' reimbursements.
Philippines Conference Room
Striving for good feelings or averting bad ones
Previous research suggests that the emotions people value (“ideal affect”) can help explain cultural differences in health care preferences. For example, those valuing excitement tend to prefer physicians who promote excitement and medications that induce feelings of excitement. However, the emotions people want to avoid (“avoided affect”) may be just as influential, particularly among older adults and East Asian Americans who tend to be motivated more by avoiding (versus approaching) certain outcomes.
Can health coaches improve decision making for elderly with cancer?
Background: Cancer is the second leading cause of death in the United States and disproportionately affects elderly patient populations. Many describe poor quality of life and experience, unnecessary suffering, and treatment options with little benefit. Additionally, many elderly patients with cancer also are less likely to receive a full diagnosis or engage in shared-decision making. No studies have evaluated the influence of health coaches and shared-decision making tools on patient and caregiver experiences and receipt of goal concordant care.
Evaluating the State of Quality-Improvement Science through Evidence Synthesis: Insights from the Closing the Quality Gap Series
Abstract
Context: The Closing the Quality Gap seriesfrom the Agency for Healthcare Research and Quality summarizes evidence for eight high-priority health care topics: outcomes used in disability research, bundled payment programs, public reporting initiatives, health care disparities, palliative care, the patient-centered medical home, prevention of health care-associated infections, and medication adherence.
Objective: To distill evidence from this series and provide insight into the “state of the science” of quality improvement (QI).
Methods: We provided common guidance for topic development and qualitatively synthesized evidence from the series topic reports to identify cross-topic themes, challenges, and evidence gaps as related to QI practice and science.
Results: Among topics that examined effectiveness of QI interventions, we found improvement in some outcomes but not others. Implementation context and potential harms from QI activities were not widely evaluated or reported, although market factors appeared important for incentive-based QI strategies. Patient-focused and systems-focused strategies were generally more effective than clinician-focused strategies, although the latter approach improved clinician adherence to infection prevention strategies. Audit and feedback appeared better for targeting professionals and organizations, but not patients. Topic reviewers observed heterogeneity in outcomes used for QI evaluations, weaknesses in study design, and incomplete reporting.
Conclusions: Synthesizing evidence across topics provided insight into the state of the QI field for practitioners and researchers. To facilitate future evidence synthesis, consensus is needed around a smaller set of outcomes for use in QI evaluations and a framework and lexicon to describe QI interventions more broadly, in alignment with needs of decision makers responsible for improving quality.