Association of care management intensity with healthcare utilization in an all-condition care management program.

OBJECTIVES: To identify care needs among Medicaid and Medicare patients in an all-condition care management program involving case managers (CMs) and community health workers (CHWs), and to examine the relationship between intervention intensity and healthcare utilization. STUDY DESIGN: Retrospective longitudinal evaluation of managed care-hired CMs and CHWs based at 8 primary care sites participating in the Johns Hopkins Community Health Partnership (J-CHiP). METHODS: Patients at high risk for hospitalization were enrolled in J-CHiP. CMs provided care coordination and CHWs addressed barriers to care. Four program intensity categories were created: low CM-low CHW, low CM-high CHW, high CM-low CHW, and high CM-high CHW. We evaluated the adjusted relative risk (RR) of emergency department (ED) visits, hospitalizations, and 30-day hospital readmissions pre- and post enrollment in the program using CM documentation, electronic health record data, and insurance claims. RESULTS: Among 1408 Medicaid and 2196 Medicare patients, the predominant barriers to care were lack of transportation, unstable housing, medication payment, and healthy food access. Among Medicaid and Medicare patients, high CM-high CHW and high CM-low CHW intensities were associated with a higher adjusted risk of hospitalization and 30-day hospital readmission after program implementation compared with low CM-low CHW intensity. Among patients with low CM-high CHW intensity, Medicaid patients had a higher risk of readmission (RR, 1.47; P = .016) and Medicare patients had a higher risk of ED visit (RR, 1.33; P = .001) post program implementation. CONCLUSIONS: In this longitudinal evaluation of an all-condition, unstructured, managed care organization-led program, preprogram trajectories of healthcare utilization rates among patients increased rather than decreased after program implementation, especially among patients receiving the highest care management program intensity.

Does an all-condition case management program for high-risk patients reduce health care utilization in medicaid and medicare beneficiaries with diabetes?

OBJECTIVE: To assess whether an all-condition case management program can improve health care utilization and clinical outcomes in patients with diabetes. RESEARCH DESIGN AND METHODS: 1342 patients with diabetes were enrolled in the Johns Hopkins Community Health Partnership (J-CHiP) Case Management program for high-risk patients with any chronic disease. We categorized participants into two intervention exposure categories based on the number of contacts with case manager (CM) and community health worker (CHW) per month: low contact (≤1 contact/month), and high contact (>1 contacts/month). The primary outcomes were rates of emergency department (ED) visits, hospitalizations, and 30-day hospital readmissions. RESULTS: In analyses adjusted for age, sex, race, risk score, and baseline health utilization rate, Medicaid participants in the high contact group had 42% (rate ratio (RR): 1.42; 95% CI: 1.08-1.86) and 64% (RR: 1.64; 95% CI: 1.08-2.48) higher risks for hospital admission and readmission, respectively, than the low contact group. Similar increases were seen in the Medicare participants with 20% (RR: 1.20; 95% 1.02-1.42) and 42% (RR:1.42; 95% 1.09-1.84) higher risks for admission and readmission, respectively. The associations were not statistically significant for ED visits. Subsidiary analysis of a subset with HbA1c available (n = 545) revealed a statistically significant decrease in HbA1c among Medicare participants (mean (SD): -0.17% (1.50%)), with a larger decrease in the high contact group (mean (SD): -0.23% (1.59%)). CONCLUSION: In an all-condition case management program for high-risk patients, the higher intensity of contacts with CHW and CM was not associated with a reduced health care utilization in adults with diabetes.

Association of a Care Coordination Model With Health Care Costs and Utilization: The Johns Hopkins Community Health Partnership (J-CHiP).

Importance: The Johns Hopkins Community Health Partnership was created to improve care coordination across the continuum in East Baltimore, Maryland. Objective: To determine whether the Johns Hopkins Community Health Partnership (J-CHiP) was associated with improved outcomes and lower spending. Design, Setting, and Participants: Nonrandomized acute care intervention (ACI) and community intervention (CI) Medicare and Medicaid participants were analyzed in a quality improvement study using difference-in-differences designs with propensity score-weighted and matched comparison groups. The study spanned 2012 to 2016 and took place in acute care hospitals, primary care clinics, skilled nursing facilities, and community-based organizations. The ACI analysis compared outcomes of participants in Medicare and Medicaid during their 90-day postacute episode with those of a propensity score-weighted preintervention group at Johns Hopkins Community Health Partnership hospitals and a concurrent comparison group drawn from similar Maryland hospitals. The CI analysis compared changes in outcomes of Medicare and Medicaid participants with those of a propensity score-matched comparison group of local residents. Interventions: The ACI bundle aimed to improve transition planning following discharge. The CI included enhanced care coordination and integrated behavioral support from local primary care sites in collaboration with community-based organizations. Main Outcomes and Measures: Utilization measures of hospital admissions, 30-day readmissions, and emergency department visits; quality of care measures of potentially avoidable hospitalizations, practitioner follow-up visits; and total cost of care (TCOC) for Medicare and Medicaid participants. Results: The CI group had 2154 Medicare beneficiaries (1320 [61.3%] female; mean age, 69.3 years) and 2532 Medicaid beneficiaries (1483 [67.3%] female; mean age, 55.1 years). For the CI group's Medicaid participants, aggregate TCOC reduction was $24.4 million, and reductions of hospitalizations, emergency department visits, 30-day readmissions, and avoidable hospitalizations were 33, 51, 36, and 7 per 1000 beneficiaries, respectively. The ACI group had 26 144 beneficiary-episodes for Medicare (13 726 [52.5%] female patients; mean patient age, 68.4 years) and 13 921 beneficiary-episodes for Medicaid (7392 [53.1%] female patients; mean patient age, 52.2 years). For the ACI group's Medicare participants, there was a significant reduction in aggregate TCOC of $29.2 million with increases in 90-day hospitalizations and 30-day readmissions of 11 and 14 per 1000 beneficiary-episodes, respectively, and reduction in practitioner follow-up visits of 41 and 29 per 1000 beneficiary-episodes for 7-day and 30-day visits, respectively. For the ACI group's Medicaid participants, there was a significant reduction in aggregate TCOC of $59.8 million and the 90-day emergency department visit rate decreased by 133 per 1000 episodes, but hospitalizations increased by 49 per 1000 episodes and practitioner follow-up visits decreased by 70 and 182 per 1000 episodes for 7-day and 30-day visits, respectively. In total, the CI and ACI were associated with $113.3 million in cost savings. Conclusions and Relevance: A care coordination model consisting of complementary bundled interventions in an urban academic environment was associated with lower spending and improved health outcomes.

Autism Screening With Online Decision Support by Primary Care Pediatricians Aided by M-CHAT/F.

BACKGROUND AND OBJECTIVE: Autism spectrum disorders (ASDs) often go undetected in toddlers. The Modified Checklist for Autism in Toddlers (M-CHAT) With Follow-up Interview (M-CHAT/F) has been shown to improve detection and reduce over-referral. However, there is little evidence supporting the administration of the interview by a primary care pediatrician (PCP) during typical checkups. The goal of this study was to evaluate the feasibility, validity, and reliability of the M-CHAT/F by PCPs with online prompts at the time of a positive M-CHAT screen. DESIGN: Forty-seven PCPs from 22 clinics completed 197 M-CHAT/Fs triggered by positive M-CHAT screens via the same secure Web-based platform that parents used to complete M-CHATs before an 18- or 24-month well-child visit. A second M-CHAT/F was administered live or by telephone by trained research assistants (RAs) at the Kennedy Krieger Institute Center for Autism and Related Disorders. The Autism Diagnostic Observation Schedule, Second Edition, and the Mullen Scales of Early Learning were administered as criterion measures. Measures of agreement between PCPs and RAs were calculated, and measures of test performance compared. RESULTS: There was 86.6% agreement between PCPs and RAs, with a Cohen's κ of 0.72. Comparison of sensitivity, specificity, positive predictive value (PPV), and overall accuracy for M-CHAT/F between PCPs and RAs showed significant equivalence for all measures. Use of the M-CHAT/F by PCPs resulted in significant improvement in PPV compared with the M-CHAT alone. CONCLUSIONS: Minimally trained PCPs can administer the M-CHAT/F reliably and efficiently during regular well-child visits, increasing PPV without compromising detection.

Print news coverage of school-based human papillomavirus vaccine mandates.

BACKGROUND: In 2007, legislation was proposed in 24 states and the District of Columbia for school-based human papillomavirus (HPV) vaccine mandates, and mandates were enacted in Texas, Virginia, and the District of Columbia. Media coverage of these events was extensive, and media messages both reflected and contributed to controversy surrounding these legislative activities. Messages communicated through the media are an important influence on adolescent and parent understanding of school-based vaccine mandates. METHODS: We conducted structured text analysis of newspaper coverage, including quantitative analysis of 169 articles published in mandate jurisdictions from 2005 to 2009, and qualitative analysis of 63 articles from 2007. Our structured analysis identified topics, key stakeholders and sources, tone, and the presence of conflict. Qualitative thematic analysis identified key messages and issues. RESULTS: Media coverage was often incomplete, providing little context about cervical cancer or screening. Skepticism and autonomy concerns were common. Messages reflected conflict and distrust of government activities, which could negatively impact this and other youth-focused public health initiatives. CONCLUSIONS: If school health professionals are aware of the potential issues raised in media coverage of school-based health mandates, they will be more able to convey appropriate health education messages and promote informed decision-making by parents and students.