Predictors of Unrelieved Symptoms in All of Us Research Program Participants With Chronic Conditions

Acute Care Use Among Patients With Multiple Chronic Conditions Receiving Care From Nurse Practitioner Practices in Health Professional Shortage Areas

BACKGROUND

Patients with multiple chronic conditions often have many care plans, polypharmacy, and unrelieved symptoms that contribute to high emergency department and hospital use. High-quality primary care delivered in practices that employ nurse practitioners can help prevent the need for such acute care services. However, such practices located in primary care health professional shortage areas face challenges caring for these patients because of higher workloads and fewer resources.

OBJECTIVE

We examined differences in hospitalization and emergency department use among patients with multiple chronic conditions who receive care from practices that employ nurse practitioners in health professional shortage areas compared to practices that employ nurse practitioners in non-health professional shortage areas.

METHODS

We performed an analysis of Medicare claims, merged with Health Resources and Services Administration data on health professional shortage area status in five states. Our sample included 394,424 community-dwelling Medicare beneficiaries aged ≥65 years, with at least two of 15 common chronic conditions who received care in 779 practices that employ nurse practitioners. We used logistic regression to assess the relationship between health professional shortage area status and emergency department visits or hospitalizations.

RESULTS

We found a higher likelihood of emergency department visits among patients in health professional shortage areas compared to those in non-health professional shortage areas and no difference in the likelihood of hospitalization.

DISCUSSION

Emergency department use differences exist among older adults with multiple chronic conditions receiving care in practices that employ nurse practitioners in health professional shortage areas, compared to those in non-health professional shortage areas. To address this disparity, the health professional shortage area program should invest in recruiting and retaining nurse practitioners to health professional shortage areas to ease workforce shortages.

A Systematic Review of Outcomes Related to Nurse Practitioner-Delivered Primary Care for Multiple Chronic Conditions

Multiple chronic conditions (MCCs) are more common and costly than any individual health condition in the United States. The growing workforce of nurse practitioners (NPs) plays an active role in providing primary care to this patient population. This study identifies the effect of NP primary care models, compared with models without NP involvement, on cost, quality, and service utilization by patients with MCCs. We conducted a literature search of six databases and performed critical appraisal. Fifteen studies met inclusion criteria (years: 2003-2021). Overall, most studies showed reduced or similar costs, equivalent or better quality, and similar or lower rates of emergency department use and hospitalization associated with NP primary care models for patients with MCCs, compared with models without NP involvement. No studies found them associated with worse outcomes. Thus, NP primary care models, compared with models without NP involvement, have similar or positive impacts on MCC patient outcomes.

Big Data in Oncology Nursing Research: State of the Science

OBJECTIVE

To review the state of oncology nursing science as it pertains to big data. The authors aim to define and characterize big data, describe key considerations for accessing and analyzing big data, provide examples of analyses of big data in oncology nursing science, and highlight ethical considerations related to the collection and analysis of big data.

DATA SOURCES

Peer-reviewed articles published by investigators specializing in oncology, nursing, and related disciplines.

CONCLUSION

Big data is defined as data that are high in volume, velocity, and variety. To date, oncology nurse scientists have used big data to predict patient outcomes from clinician notes, identify distinct symptom phenotypes, and identify predictors of chemotherapy toxicity, among other applications. Although the emergence of big data and advances in computational methods provide new and exciting opportunities to advance oncology nursing science, several challenges are associated with accessing and using big data. Data security, research participant privacy, and the underrepresentation of minoritized individuals in big data are important concerns.

IMPLICATIONS FOR NURSING PRACTICE

With their unique focus on the interplay between the whole person, the environment, and health, nurses bring an indispensable perspective to the interpretation and application of big data research findings. Given the increasing ubiquity of passive data collection, all nurses should be taught the definition, characteristics, applications, and limitations of big data. Nurses who are trained in big data and advanced computational methods will be poised to contribute to guidelines and policies that preserve the rights of human research participants.

Complex Care Needs at the End of Life for Seriously Ill Adults With Multiple Chronic Conditions

Understanding the complex care needs of seriously ill adults with multiple chronic conditions with and without cancer is critical for the delivery of high-quality serious illness and palliative care at the end of life. The objective of this secondary data analysis of a multisite randomized clinical trial in palliative care was to elucidate the clinical profile and complex care needs of seriously ill adults with multiple chronic conditions and to highlight key differences among those with and without cancer at the end of life. Of the 213 (74.2%) older adults who met criteria for multiple chronic conditions (eg, 2 or more chronic conditions requiring regular care with limitations of daily living), 49% had a diagnosis of cancer. Hospice enrollment was operationalized as an indicator for severity of illness and allowed for the capture of complex care needs of those deemed to be nearing the end of life. Individuals with cancer had complex symptomatology with a higher prevalence of nausea, drowsiness, and poor appetite and end of life and lower hospice enrollment. Individuals with multiple chronic conditions without cancer had lower functional status, greater number of medications, and higher hospice enrollment. The care of seriously ill older adults with multiple chronic conditions requires tailored approaches to improve outcomes and quality of care across health care settings, particularly at the end of life.