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The American Journal of Managed Care October 2016
Cost-Effectiveness of a Statewide Falls Prevention Program in Pennsylvania: Healthy Steps for Older Adults
Steven M. Albert, PhD; Jonathan Raviotta, MPH; Chyongchiou J. Lin, PhD; Offer Edelstein, PhD; and Kenneth J. Smith, MD
Economic Value of Pharmacist-Led Medication Reconciliation for Reducing Medication Errors After Hospital Discharge
Mehdi Najafzadeh, PhD; Jeffrey L. Schnipper, MD, MPH; William H. Shrank, MD, MSHS; Steven Kymes, PhD; Troyen A. Brennan, MD, JD, MPH; and Niteesh K. Choudhry, MD, PhD
Benchmarking Health-Related Quality-of-Life Data From a Clinical Setting
Janel Hanmer, MD, PhD; Rachel Hess, MD, MS; Sarah Sullivan, BS; Lan Yu, PhD; Winifred Teuteberg, MD; Jeffrey Teuteberg, MD; and Dio Kavalieratos, PhD
Patients' Success in Negotiating Out-of-Network Bills
Kelly A. Kyanko, MD, MHS, and Susan H. Busch, PhD
Currently Reading
Connected Care: Improving Outcomes for Adults With Serious Mental Illness
James M. Schuster, MD, MBA; Suzanne M. Kinsky, MPH, PhD; Jung Y. Kim, MPH; Jane N. Kogan, PhD; Allison Hamblin, MSPH; Cara Nikolajski, MPH; and John Lovelace, MS
Postdischarge Telephone Calls by Hospitalists as a Transitional Care Strategy
Sarah A. Stella, MD; Angela Keniston, MSPH; Maria G. Frank, MD; Dan Heppe, MD; Katarzyna Mastalerz, MD; Jason Lones, BA; David Brody, MD; Richard K. Albert, MD; and Marisha Burden, MD
Mortality Following Hip Fracture in Chinese, Japanese, and Filipina Women
Minal C. Patel, MD; Malini Chandra, MS, MBA; and Joan C. Lo, MD
Estimating the Social Value of G-CSF Therapies in the United States
Jacqueline Vanderpuye-Orgle, PhD; Alison Sexton Ward, PhD; Caroline Huber, MPH; Chelsey Kamson, BS; and Anupam B. Jena, MD, PhD
Periodic Health Examinations and Missed Opportunities Among Patients Likely Needing Mental Health Care
Ming Tai-Seale, PhD; Laura A. Hatfield, PhD; Caroline J. Wilson, MSc; Cheryl D. Stults, PhD; Thomas G. McGuire, PhD; Lisa C. Diamond, MD; Richard M. Frankel, PhD; Lisa MacLean, MD; Ashley Stone, MPH; and Jennifer Elston Lafata, PhD
Does Medicare Managed Care Reduce Racial/Ethnic Disparities in Diabetes Preventive Care and Healthcare Expenditures?
Elham Mahmoudi, PhD; Wassim Tarraf, PhD; Brianna L. Maroukis, BS; and Helen G. Levy, PhD

Connected Care: Improving Outcomes for Adults With Serious Mental Illness

James M. Schuster, MD, MBA; Suzanne M. Kinsky, MPH, PhD; Jung Y. Kim, MPH; Jane N. Kogan, PhD; Allison Hamblin, MSPH; Cara Nikolajski, MPH; and John Lovelace, MS
Case study of a payer-led intervention to improve coordination of care for adult Medicaid beneficiaries with serious mental illness.

Objectives: To evaluate the effectiveness of Connected Care—a care coordination effort of physical and behavioral health managed care partners in Pennsylvania—on acute service use among adult Medicaid beneficiaries with serious mental illness (SMI).

Study Design: We examined changes in service utilization using a difference-in-differences model, comparing study group with a comparison group, and conducted key informant interviews to better understand aspects of program implementation.

Methods: We compared the difference in service use rates between baseline year and 2-year intervention period for the Connected Care group (n = 8633) with the difference in rates for the comparison group (n = 10,514), confirming results using a regression adjustment.

Results: Mental health hospitalizations (per 1000 members per month) decreased for the Connected Care group from 41.1 to 39.6, while increasing for the comparison group from 33.8 to 37.2 (P = .04). All-cause readmissions within 30 days decreased nearly 10% for Connected Care while increasing slightly for the comparison group (P <.01), with a similar pattern observed for 60- and 90-day all-cause readmissions. No differences were observed in physical health hospitalizations, drug and alcohol admissions, or ED use. Data from qualitative stakeholder interviews illuminated facilitators and barriers of implementing Connected Care.

Conclusions: Payer-level healthcare information sharing can help identify members who could benefit from care coordination services, inform care management activities, and assist with pharmacy management. Results can inform state, health plan, and provider efforts around integration of care for individuals with SMI and improve care efficiencies and quality, which is especially important in this time of Medicaid expansion.

Am J Manag Care. 2016;22(10):678-682
Take-Away Points

This study provides evidence that making system-level connections for physical and behavioral healthcare produced positive health outcomes for individuals with serious mental illness (SMI). 
  • Improvements in mental health hospitalization and all-cause readmissions were observed for adult Medicaid beneficiaries with SMI in the Connected Care program. 
  • The approach described here may help to inform the efforts of other states, health plans, and providers interested in better integration of care for individuals with physical and behavioral health needs and improve efficiencies and quality in care delivery, which is especially important in this time of Medicaid expansion.
The number of individuals with healthcare coverage under Medicaid is expanding with full enactment of the Affordable Care Act (ACA), and the number of enrollees with serious mental illness (SMI), such as severe mood disorders and schizophrenia, who currently comprise 12.8% of those covered by Medicaid, is also increasing.1,2 Individuals with SMI have higher rates of physical illness than the general population,3,4 and healthcare systems often struggle to meet their needs.5 Recent efforts to improve health outcomes for this population have focused on physical and mental healthcare coordination.6-8

Under the ACA, states have options to develop new and refined solutions to address the special needs of the Medicaid population to provide care coordination, health promotion, and a connection to resources. The development of sophisticated information technology and implementation of health homes by many states grants opportunity for improvements in care coordination for individuals with the highest need.9 Many states currently utilizing health home models contract with managed care organizations (MCOs) for delivery of other Medicaid benefits. States support MCOs to provide care management and care coordination to enrolled members; however, few states engage MCOs in health home programs—partially due to limited examples of how to do this effectively.10 States, MCOs, and other decision makers need effective models to enhance care coordination.

In some cases, states deliver Medicaid benefits through managed care “carve out” of behavioral health services to MCOs with specialty expertise. Some models, such as Pennsylvania’s, were developed in part to assure that behavioral health services are well integrated with other social services frequently used by Medicaid members. Regardless of carve-out status, identifying effective models of coordination within and across MCOs is critical to enabling integration of services for individuals receiving care in both delivery systems.

Care coordination is expected to improve health outcomes and lower costs by decreasing gaps in care, thereby lowering the rates of crisis and acute care, decreasing duplication of services, and improving medication management.7 Despite growing consensus that care coordination leads to better outcomes,11,12 there is little evidence of how to best do it among Medicaid beneficiaries with SMI. The present study provides an overview of the implementation of Connected Care, a care coordination improvement effort of managed care partners in southwest Pennsylvania (PA) for adult Medicaid beneficiaries with SMI.

UPMC for You and Community Care Behavioral Health (CCBH), physical and behavioral health payers, respectively, collaborated to implement Connected Care using several strategies: enhanced care management, member education, and information sharing between payers and providers through multidisciplinary case review meetings and notifications of hospitalizations, emergency department (ED) visits, potential care gaps, and medication refill gaps. Details of Connected Care components are outlined in Table 1.

The Center for Health Care Strategies (CHCS), Pennsylvania Department of Human Services (PA DHS), and Allegheny County Department of Human Services provided oversight and technical assistance during the 2-year program, from 2009 to 2011. A stakeholder advisory group provided input on how best to engage members and feedback on program materials (eg, welcome kits, brochures/fliers, consent forms). Mathematica Policy Research, a program evaluation and policy research firm, served as an independent evaluator. 

In this paper, we highlight several outcomes of the Connected Care program and provide a summary of our implementation experience to inform future MCO and system-level efforts to coordinate physical and behavioral healthcare for Medicaid beneficiaries.


The Connected Care group (n = 8633) and comparison group (n = 10,514) included those with at least 1 claim with diagnosis of schizophrenia, major mood disorder, psychotic disorder not

otherwise specified, and/or borderline personality disorder (based on the PA DHS’s definition of SMI)13 in the time frame beginning 2 years before program initiation and end of the 2-year intervention period; being 18 years or older on the date of service with SMI diagnosis; living in Allegheny County, PA; and being a CCBH member. The Connected Care group was enrolled in UPMC for You for physical health managed care and the comparison group in other physical health Medicaid managed care plans in same service area.

We conducted a mixed methods evaluation, combining qualitative data collection with analysis of administrative claims data. We analyzed Medicaid service claims for all eligible members in both groups to assess changes in hospitalizations (separately for mental health, drug and alcohol, and physical health); 30-, 60-, and 90-day readmissions; and ED use. The main analysis consisted of a difference-in-differences (DID) calculation on the mean of each outcome, comparing rates 12 months before implementation of Connected Care to rates during the intervention period. To obtain a measure of significance for the DID estimate, we ran a weighted regression, where the only controls were treatment (study group) indicator, pre-post indicator, and interaction between the 2. The coefficient on the interaction term was the DID estimate. (The magnitude of the coefficient in the logit model was not the DID estimate, but we used it for the measure of significance of the estimate.) Means were generated from postestimation recycled predictions. Secondary analysis examined outcomes for members who provided written consent to share health information across plans and with providers, compared with outcomes for the comparison group. All analyses were done using SAS version 9.3 (SAS Institute Inc., Cary, North Carolina).

Finally, semi-structured interviews were conducted with representatives from UPMC for You, CCBH, county health department staff, consumer advisory board members, consumers, and providers. Mathematica conducted 24 interviews, each 45 to 90 minutes (for program staff) or 15 to 20 minutes (for consumers). Topics included organizational structure and motivation for participation, member outreach strategies, core intervention components, implementation successes and lessons, expectations of short- and long-term intervention effects, and other factors that shaped implementation.


Both the study and comparison groups had similar demographic characteristics; however, the Connected Care group had a significantly higher mean age (39.4 vs 38 years), percentage of males (37.3% vs 34.3%), and percentage of whites (61.8% vs 58.2%) than the comparison group. Both groups had similar behavioral health diagnoses, with the majority having a diagnosis of mood disorder (89.4% Connected Care vs 89% comparison group), although the Connected Care group had a higher proportion of comorbid anxiety diagnoses (33.8% vs 30.5%). The Connected Care group also had significantly higher percentages of physical health conditions and inpatient utilization at baseline (Table 2). Of the 8633 in the Connected Care group, 2500 (29%) agreed to work with a care manager and 870 (~10%) agreed to share additional mental health and substance use information. Individuals in Connected Care and comparison groups were enrolled in their plan for average of 18.3 months and 15.9 months, respectively.


The rate of mental health hospitalizations (per 1000 members per month) decreased for Connected Care members from 41.1 to 39.6, while increasing for comparison group members from 33.8 to 37.2 (P = .04). This decrease for Connected Care was an estimated 12% lower than what we would expect based on the change in rate of hospitalizations observed in the comparison group. The percentage of admissions resulting in a readmission (for all causes) within 30 days decreased nearly 10% for the Connected Care group (from 43.1% to 38.9%), while increasing slightly for the comparison group (from 39.5% to 39.7%) (P <.001). This pattern was similar for 60- and 90-day all-cause readmissions. No statistically significant changes in physical health hospitalizations, drug and alcohol admissions (hospital and nonhospital), or ED use were found (Table 2). Regression analyses confirmed these results. Both members who consented to share health information across plans and with providers and the entire study group experienced a significant decrease in mental health–related hospitalizations relative to the comparison group.


Established member relationships facilitated the implementation of Connected Care. CCBH and UPMC for You care managers had preexisting relationships with many members and providers in the program due to their existing roles as care coordinators for health home initiatives in UPMC practices. Given this, some members already felt comfortable meeting with care managers and offering detailed information that could be shared with providers. Care manager facilitation of information sharing between behavioral health providers and primary care physicians (PCPs) was welcomed due to the existing relationship between CCBH and UPMC provider offices and hospitals. PCPs valued receiving previously unavailable clinical information about members from navigators and care managers, noting that information about members’ mental health status and recent healthcare and medication use was particularly useful for care integration. Because the behavioral and physical managed care plans were within the same corporate structure, having shared leadership and support for Connected Care was beneficial in shifting toward integrated care.

Implementation challenges included variability in member comfort with their healthcare information being shared across providers. Some members assumed this was already happening, whereas others had concerns of provider stigmatization with the sharing of behavioral health information and, hence, refused to consent to share information. Further, the initial risk classification strategy to direct finite resources to highest-need members was assessed and readjusted after implementation. Tier 2 (low physical health risk/high behavioral health risk) captured too many members for care managers to conduct effective outreach, so there was a second level of prioritization to narrow the target population within that tier to the highest ED and hospital utilizers. Finally, engaging providers was challenging given the many demands on their time. Engagement strategies were most successful when they were targeted to providers who already had a high proportion of members with SMI and matched the existing practice workflow.


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