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1.
Perm J ; 22: 17-102, 2018.
Article in English | MEDLINE | ID: mdl-29911964

ABSTRACT

INTRODUCTION: There are few proven strategies to reduce the frequency of potentially preventable hospitalizations and Emergency Department (ED) visits. To facilitate strategy development, we documented these events among complex patients and the factors that contribute to them in a large care-improvement initiative. METHODS: Observational study with retrospective audits and selective interviews by the patients' care managers among 12 diverse medical groups in California, Minnesota, Pennsylvania, and Washington that participated in an initiative to implement collaborative care for patients with both depression and either uncontrolled diabetes, uncontrolled hypertension, or both. We reviewed information about 373 adult patients with the required conditions who belonged to these medical groups and had experienced 389 hospitalizations or ED visits during the 12-month study period from March 30, 2014, through March 29, 2015. The main outcome measures were potentially preventable hospitalizations or ED visit events. RESULTS: Of the studied events, 28% were considered to be potentially preventable (39% of ED visits and 14% of hospitalizations) and 4.6% of patients had 40% of events. Only type of insurance coverage; patient lack of resources, caretakers, or understanding of care; and inability to access clinic care were more frequent in those with potentially preventable events. Neither disease control nor ambulatory care-sensitive conditions were associated with potentially preventable events. CONCLUSION: Among these complex patients, patient characteristics, disease control, and the presence of ambulatory care-sensitive conditions were not associated with likelihood of ED visits or hospital admissions, including those considered to be potentially preventable. The current focus on using ambulatory care-sensitive conditions as a proxy for potentially preventable events needs further evaluation.


Subject(s)
Emergency Service, Hospital/statistics & numerical data , Health Services Misuse/prevention & control , Hospitalization/statistics & numerical data , Adolescent , Adult , Depression/complications , Depression/therapy , Diabetes Complications/therapy , Diabetes Mellitus/therapy , Humans , Hypertension/complications , Hypertension/therapy , Male , Middle Aged , Patient Acceptance of Health Care/statistics & numerical data , Retrospective Studies , Young Adult
2.
Gen Hosp Psychiatry ; 44: 86-90, 2017.
Article in English | MEDLINE | ID: mdl-27558105

ABSTRACT

OBJECTIVE: To understand how care managers implemented COMPASS and if this was related to patient health outcomes. METHODS: A total of 96 COMPASS care managers were approached to participate in the online survey and 93 (97%) provided responses. Correlations were generated between key survey responses and the average number of care management contacts, patient depression, blood pressure and glycosylated hemoglobin outcomes. RESULTS: Patients of care managers who reported spending more time on COMPASS-related tasks had higher rates of depression improvement (r=0.34; P=.002) and remission (r=0.27; P=.02) as well as higher rates of blood pressure control (r=0.29; P=.03). CONCLUSIONS: To improve the effectiveness of care management in collaborative care models, particularly for patients with comorbid conditions and complex nonmedical needs, care managers need the support of social work and administrative support staff. Care managers for this patient population would also benefit from more intensive training in nonpharmacological depression treatment, such as motivational interviewing and behavioral activation. Additionally, systems support is needed such as education for primary care teams and psychiatry on the value of collaborative care models and integration of population management tools into electronic medical records.


Subject(s)
Cardiovascular Diseases/therapy , Depressive Disorder/therapy , Diabetes Mellitus/therapy , Intersectoral Collaboration , Outcome and Process Assessment, Health Care/statistics & numerical data , Patient Care Management/statistics & numerical data , Primary Health Care/statistics & numerical data , Cardiovascular Diseases/epidemiology , Comorbidity , Depressive Disorder/epidemiology , Diabetes Mellitus/epidemiology , Humans
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