Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 7 de 7
Filter
3.
Circ Cardiovasc Qual Outcomes ; 13(7): e006564, 2020 07.
Article in English | MEDLINE | ID: mdl-32683983

ABSTRACT

Utilization management strategies, including prior authorization, are commonly used to facilitate safe and guideline-adherent provision of new, individualized, and potentially costly cardiovascular therapies. However, as currently deployed, these approaches encumber multiple stakeholders. Patients are discouraged by barriers to appropriate access; clinicians are frustrated by the time, money, and resources required for prior authorizations, the frequent rejections, and the perception of being excluded from the decision-making process; and payers are weary of the intensive effort to design and administer increasingly complex prior authorization systems to balance value and appropriate use of these treatments. These issues highlight an opportunity to collectively reimagine utilization management as a transparent and collaborative system. This would benefit the entire healthcare ecosystem, especially in light of the shift to value-based payment. This article describes the efforts and vision of the multistakeholder Prior Authorization Learning Collaborative of the Value in Healthcare Initiative, a partnership between the American Heart Association and the Robert J. Margolis, MD, Center for Health Policy at Duke University. We outline how healthcare organizations can take greater utilization management responsibility under value-based contracting, especially under different state policies and local contexts. Even with reduced payer-mandated prior authorization in these arrangements, payers and healthcare organizations will have a continued shared need for utilization management. We present options for streamlining these programs, such as gold carding and electronic and automated prior authorization processes. Throughout the article, we weave in examples from cardiovascular care when possible. Although reimagining prior authorization requires collective action by all stakeholders, it may significantly reduce administrative burden for clinicians and payers while improving outcomes for patients.


Subject(s)
Cardiovascular Diseases/economics , Cardiovascular Diseases/therapy , Delivery of Health Care, Integrated , Health Care Costs , Prior Authorization/economics , Value-Based Health Insurance/economics , Value-Based Purchasing/economics , Cardiovascular Diseases/diagnosis , Clinical Decision-Making , Cost-Benefit Analysis , Delivery of Health Care, Integrated/economics , Delivery of Health Care, Integrated/organization & administration , Humans , Organizational Innovation , Policy Making , Prior Authorization/organization & administration , Quality Improvement/economics , Quality Indicators, Health Care/economics , Stakeholder Participation , Value-Based Health Insurance/organization & administration , Value-Based Purchasing/organization & administration
4.
Circ Cardiovasc Qual Outcomes ; 13(7): e006606, 2020 07.
Article in English | MEDLINE | ID: mdl-32683985

ABSTRACT

The pipeline of new cardiovascular drugs is relatively limited compared with many other clinical areas. Challenges causing lagging drug innovation include the duration and expense of cardiovascular clinical trials needed for regulatory evaluation and approvals, which generally must demonstrate noninferiority to existing standards of care and measure longer-term outcomes. By comparison, there has been substantial progress in cardiovascular device innovation. There has also been progress in cardiovascular trial participation equity in recent years, especially among women, due in part to important efforts by Food and Drug Administration, National Institutes of Health, American Heart Association, and others. Yet women and especially racial and ethnic minority populations remain underrepresented in cardiovascular trials, indicating much work ahead to continue recent success. Given these challenges and opportunities, the multistakeholder Partnering with Regulators Learning Collaborative of the Value in Healthcare Initiative, a collaboration of the American Heart Association and the Robert J. Margolis, MD, Center for Health Policy at Duke University, identified how to improve the evidence generation process for cardiovascular drugs and devices. Drawing on a series of meetings, literature reviews, and analyses of regulatory options, the Collaborative makes recommendations across four identified areas for improvement. First, we offer strategies to enhance patient engagement in trial design, convenient participation, and meaningful end points and outcomes to improve patient recruitment and retention (major expenses in clinical trials). Second, new digital technologies expand the potential for real-world evidence to streamline data collection and reduce cost and time of trials. However, technical challenges must be overcome to routinely leverage real-world data, including standardizing data, managing data quality, understanding data comparability, and ensuring real-world evidence does not worsen inequities. Third, as trials are driven by evidence needs of regulators and payers, we recommend ways to improve their collaboration in trial design to streamline and standardize efficient and innovative trials, reducing costs and delays. Finally, we discuss creative ways to expand the minuscule proportion of sites involved in cardiovascular evidence generation and medical product development. These actions, paired with continued policy research into better ways to pay for and equitably develop therapies, will help reduce the cost and complexity of drug and device research, development, and trials.


Subject(s)
Clinical Trials as Topic , Device Approval , Drug Approval , Evidence-Based Medicine , Interdisciplinary Communication , Patient-Centered Care , Research Design , Cooperative Behavior , Diffusion of Innovation , Humans , Patient Participation , Patient Selection , Policy Making , Stakeholder Participation , United States , United States Food and Drug Administration
6.
J Am Geriatr Soc ; 61(7): 1095-102, 2013 Jul.
Article in English | MEDLINE | ID: mdl-23731003

ABSTRACT

OBJECTIVES: To examine how skilled nursing facility (SNF) nurses transition the care of individuals admitted from hospitals, the barriers they experience, and the outcomes associated with variation in the quality of transitions. DESIGN: Qualitative study using grounded dimensional analysis, focus groups, and in-depth interviews. SETTING: Five Wisconsin SNFs. PARTICIPANTS: Twenty-seven registered nurses. MEASUREMENTS: Semistructured questions guided the focus group and individual interviews. RESULTS: SNF nurses rely heavily on written hospital discharge communication to transition individuals into the SNF effectively. Nurses cited multiple inadequacies of hospital discharge information, including regular problems with medication orders (including the lack of opioid prescriptions for pain), little psychosocial or functional history, and inaccurate information regarding current health status. These communication inadequacies necessitated repeated telephone clarifications, created care delays (including delays in pain control), increased SNF staff stress, frustrated individuals and family members, contributed directly to negative SNF facility image, and increased risk of rehospitalization. SNF nurses identified a specific list of information and components that they need to facilitate a safe, high-quality transition. CONCLUSION: Nurses note multiple deficiencies in hospital-to-SNF transitions, with poor quality discharge communication being identified as the major barrier to safe and effective transitions. This information should be used to refine and support the dissemination of evidence-based interventions that support transitions of care, including the Interventions to Reduce Acute Care Transfers program.


Subject(s)
Communication , Continuity of Patient Care , Hospitals , Nurse's Role , Patient Transfer , Skilled Nursing Facilities , Focus Groups , Humans , Interviews as Topic , Models, Theoretical , Qualitative Research , Surveys and Questionnaires , Wisconsin
7.
Oncol Nurs Forum ; 38(6): 672-80, 2011 Nov.
Article in English | MEDLINE | ID: mdl-22037330

ABSTRACT

PURPOSE/OBJECTIVES: To identify symptom clusters in older adult breast cancer survivors (ages 65-97 years) and examine whether symptom clusters are related to demographic, health, and quality-of-life variables. DESIGN: Factor analysis to identify possible symptom clusters. The resulting clusters then were correlated with quality-of-life measures. SETTING: Phone interviews between the participants and a trained research nurse. SAMPLE: 192 breast cancer survivors (X age = 70). METHODS: This was a secondary data analysis of the baseline measures of demographics, health history, symptom bother, and physical, mental, and existential dimensions of quality of life. Exploratory and confirmatory factor analyses were conducted as well as multiple indicator multiple cause modeling and partial correlation analyses to assess the relationships among clusters and demographic, health history, and quality-of-life measures. MAIN RESEARCH VARIABLES: Self-reported symptom bother, demographics such as age and education level, health history, and quality of life. FINDINGS: Seven clinically distinct symptom clusters tapping 36 different symptoms in older adult breast cancer survivors were found. These symptom clusters were significantly related to multiple dimensions of quality of life. CONCLUSIONS: Older adult breast cancer survivors experience multiple concurrent symptoms that appear to cluster. Identifying symptom clusters helps to elucidate possible intersymptom relationships which may lead to the design of more effective symptom management interventions for older adult breast cancer survivors. IMPLICATIONS FOR NURSING: Older adult breast cancer survivors should be assessed for a wide variety of symptoms if clinicians hope to identify and understand intersymptom relationships. Such assessment would enable more comprehensive symptom management.


Subject(s)
Breast Neoplasms/complications , Diagnostic Self Evaluation , Quality of Life , Self Report , Survivors/psychology , Age Factors , Aged , Aged, 80 and over , Cluster Analysis , Educational Status , Factor Analysis, Statistical , Female , Humans , Medical History Taking , Nursing Research
SELECTION OF CITATIONS
SEARCH DETAIL
...