Development of a specialty intensity score to estimate a patient's need for care coordination across physician specialties.

BACKGROUNDS AND AIMS: This article develops a Specialty Intensity Score, which uses patient diagnosis codes to estimate the number of specialist physicians a patient will need to access. Conceptually, the score can serve as a proxy for a patient's need for care coordination across doctors. Such a measure may be valuable to researchers studying care coordination practices for complex patients. In contrast with previous comorbidity scores, which focus primarily on mortality and utilization, this comorbidity score approximates the complexity of a patient's the interaction with the health care system. METHODS: We use 2015 inpatient claims data from the Centers for Medicare and Medicaid Services to model the relationship between a patient's diagnoses and physician specialty usage. We estimate usage of specialist doctors by using a least absolute shrinkage and selection operator Poisson model. The Specialty Intensity Score is then constructed using this predicted specialty usage. To validate our score, we test its power to predict the occurrence of patient safety incidents and compare that with the predictive power of the Charlson comorbidity index. RESULTS: Our model uses 127 of the 279 International Classification of Disease, 10th Revision, Clinical Modification (ICD-10-CM) diagnosis subchapters to predict specialty usage, thus creating the Specialty Intensity Score. This score has significantly greater power in predicting patient safety complications than the widely used Charlson comorbidity index. CONCLUSION: The Specialty Intensity Score developed in this article can be used by health services researchers and administrators to approximate a patient's need for care coordination across multiple specialist doctors. It, therefore, can help with evaluation of care coordination practices by allowing researchers to restrict their analysis of outcomes to the patients most impacted by those practices.

Exploring the Validity of Developing an Interdisciplinarity Score of a Patient's Needs: Care Coordination, Patient Complexity, and Patient Safety Indicators.

Despite the Affordable Care Act's push to improve the coordination of care for patients with multiple chronic conditions, most measures of coordination quality focus on a specific moment in the care process (e.g., medication errors or transfer between facilities), rather than patient outcomes. One possible supplementary way of measuring the care coordination quality of a facility would be to identify the patients needing the most coordination, and to look at outcomes for that group. This paper lays the groundwork for a new measure of care coordination quality by outlining a conceptual framework that considers the interaction between a patient's interdisciplinarity, biological susceptibility, and procedural intensity. Interdisciplinarity captures the degree of specialized medical expertise needed for a patient's care and will be an important measure to estimate the number of specialists a patient might see. We then develop a preliminary measure of interdisciplinarity and run tests linking interdisciplinarity to medical mistakes, as defined by Agency for Healthcare Research and Quality's Patient Safety Indicators. Finally, we use our preliminary measure to verify that interdisciplinarity is likely to be statistically different from existing measures of comorbidity, like the Charlson score. Future research will need to build upon our findings by developing a more statistically validated measure of interdisciplinarity.

Does Better Nurse Staffing Improve Detection of Depression and Anxiety As Secondary Conditions in Hospitalized Patients with Pneumonia?

Identifying anxiety and depression in hospital patients has important implications for the quality of care, including reducing hospital admissions, promoting patient-centered care, and improving long-term patient outcomes. Hospital admissions are important opportunities for uncovering mental illness; whether hospitals actually take advantage of these important opportunities may depend on staffing. Nurse staffing is central to achieving the goals outlined by patient-centered care initiatives. The results of this study suggest an effect of nursing ratios on the detection of secondary mental health conditions via a quasi-experiment surrounding California's minimum nursing ratio law. This analysis indicates hospitals with larger decreases in the number of patients under each nurse's care had greater improvements in the detection of secondary depression and anxiety in patients with pneumonia.

Health care supply and county-level variation in attention-deficit hyperactivity disorder prescription medications.

PURPOSE: Although much literature reports small-area variation in medication prescriptions used to treat attention-deficit hyperactivity disorder (ADHD), scant research has examined factors that may drive this variation. We examine, across counties in the USA, whether the use of prescription medications to treat ADHD varies positively with supply-side healthcare characteristics. METHODS: We retrieved annual prescription data for ADHD medications in 2734 US counties from a nationally representative sample of 35 000 pharmacies in 2001-2003. We used a county-level, multivariable fixed effects analysis to estimate the relation between annual changes in healthcare supply and ADHD medication prescriptions. Methods controlled for time-invariant factors unique to each county as well as ADHD prevalence. RESULTS: From 2001 to 2003, retail prescription purchases for ADHD medications increased 33.2%. In the multivariable analysis, ADHD medication prescriptions move positively with an increase in the concentration of total physicians. In addition, ADHD medication prescriptions move inversely with changes in the percentage of non-Hispanic Black population. CONCLUSIONS: Supply-side healthcare factors may contribute to the rise from 2001 to 2003 in ADHD medication prescriptions. This finding warrants attention because it implies that the relative capacity of the healthcare system may influence population prescription rates. We encourage further exploration of the contribution of the supply-side of the healthcare market to secular changes in ADHD medication prescriptions.