Early experience of the quality improvement award program in federally funded health centers.

OBJECTIVES: To describe the Health Resources and Services Administration's Quality Improvement Award (QIA) program, award patterns, and early lessons learned. STUDY SETTING: 1413 health centers were eligible for QIA from 2014 to 2018. STUDY DESIGN: We assessed cumulative QIA funding earned and modified funding excluding payments for per-patient bonuses, electronic health record (EHR) use, patient-centered medical home (PCMH) accreditation, and health information technology. We compared health centers on rural/urban location, PCMH accreditation, EHR reporting, and size. DATA COLLECTION: Organizational and quality measures are reported in the Uniform Data System, QIA program data. PRINCIPAL FINDINGS: Average cumulative funding was higher for health centers that were not rural (USD 380,387 [± USD 233,467] vs. USD 303,526 [± USD 164,272]), had PCMH accreditation (USD 401,675 [± USD 218,246] vs. USD 250,784 [± USD 144,404]), used their EHR for quality reporting (USD 374,214 (± USD 222,866) vs. USD 331,150 (± USD 198,689)), and were large (USD 435,473 (± USD 238,193) vs. USD 270,681 (± USD 114,484) an USD 231,917 (± USD 97,847) for small and medium centers, respectively). There were similar patterns, with smaller differences, for average modified payments. CONCLUSIONS: QIA is an important feasible initiative to introduce value-based payment principles to health centers. Early lessons for program design include announcing award criteria in advance and focusing on a smaller number of priority targets.

Association between care delivery interventions to enhance access and patients' perceived access in the Comprehensive Primary Care Initiative.

The Comprehensive Primary Care (CPC) initiative was an alternative payment model implemented from 2012 to 2016 to strengthen primary care by enhancing core functions, including access to care. The association between interventions to enhance access and patients' perception of access is unknown. We performed a cross-sectional analysis of CPC practice surveys and CAHPS patient survey responses pertaining to access and timeliness in 2016. There were regional differences in both patients' perceptions of access and interventions to enhance access, but no association between interventions and patients' perceptions. Practices with fewer clinicians and whose patients had fewer chronic conditions had better perceived access.

Aggregating Claims Data Across Payers: Approaches, Challenges, and Lessons Learned From the Comprehensive Primary Care Initiative.

The Comprehensive Primary Care (CPC) initiative fueled the emergence of new organizational alliances and financial commitments among payers and primary care practices to use data for performance improvement. In most regions of the country, practices received separate confidential feedback reports of claims-based measures from multiple payers, which varied in content and provided an incomplete picture of a practice's patient panel. Over CPC's last few years, participating payers in several regions resisted the tendency to guard data as a proprietary asset, instead working collaboratively to produce aggregated performance feedback for practices. Aggregating claims data across payers is a potential game changer in improving practice performance because doing so potentially makes the data more accessible, comprehensive, and useful. Understanding lessons learned and key challenges can help other initiatives that are aggregating claims or clinical data across payers for primary care practices or other types of providers.

Patients' perspectives of care management: a qualitative study.

OBJECTIVES: Risk-stratified care management is a cornerstone of patient-centered medical home models, but studies on patients' perspectives of care management are scarce. We explored patients' experiences with care management, what they found useful, and what needs improvement. STUDY DESIGN: Semi-structured qualitative telephone interviews. METHODS: We interviewed 43 high-risk patients or their caregivers who were receiving care management from 11 practices in CMS' Comprehensive Primary Care initiative, provided by nurse care managers (9 practices) or the physician (2 [solo] practices). RESULTS: Patients' perceptions of care management were mixed. Patients who had regular contact with, and a desire to work with, their care manager valued the care management services provided. These patients valued care managers who listened to them and explained their conditions and options in lay terms, helped them navigate the healthcare system and community resources, and followed up after hospitalizations. However, one-fifth of the patients in practices that used nurse care managers could not identify their care manager although we: 1) sampled patients who had recent contact with their care manager and 2) defined the care manager's roles and provided examples of typical care management activities. Patients' interactions with care managers from health plans and hospitals contributed to confusion. CONCLUSIONS: Practices can improve patient buy-in for care management through in-person introductions to care managers by their physicians, offering care management to patients who need and are interested in it, broader agreement about terminology and the role of care managers and care plans, and better coordination with care management from insurers and hospitals.

Risk Stratification Methods and Provision of Care Management Services in Comprehensive Primary Care Initiative Practices.

PURPOSE: Risk-stratified care management is essential to improving population health in primary care settings, but evidence is limited on the type of risk stratification method and its association with care management services. METHODS: We describe risk stratification patterns and association with care management services for primary care practices in the Comprehensive Primary Care (CPC) initiative. We undertook a qualitative approach to categorize risk stratification methods being used by CPC practices and tested whether these stratification methods were associated with delivery of care management services. RESULTS: CPC practices reported using 4 primary methods to stratify risk for their patient populations: a practice-developed algorithm (n = 215), the American Academy of Family Physicians' clinical algorithm (n = 155), payer claims and electronic health records (n = 62), and clinical intuition (n = 52). CPC practices using practice-developed algorithm identified the most number of high-risk patients per primary care physician (282 patients, P = .006). CPC practices using clinical intuition had the most high-risk patients in care management and a greater proportion of high-risk patients receiving care management per primary care physician (91 patients and 48%, P =.036 and P =.128, respectively). CONCLUSIONS: CPC practices used 4 primary methods to identify high-risk patients. Although practices that developed their own algorithm identified the greatest number of high-risk patients, practices that used clinical intuition connected the greatest proportion of patients to care management services.

Behavioral Health and the Comprehensive Primary Care (CPC) Initiative: findings from the 2014 CPC behavioral health survey.

BACKGROUND: Incorporating behavioral health care into patient centered medical homes is critical for improving patient health and care quality while reducing costs. Despite documented effectiveness of behavioral health integration (BHI) in primary care settings, implementation is limited outside of large health systems. We conducted a survey of BHI in primary care practices participating in the Comprehensive Primary Care (CPC) initiative, a four-year multi-payer initiative of the Centers for Medicare and Medicaid Services (CMS). We sought to explore associations between practice characteristics and the extent of BHI to illuminate possible factors influencing successful implementation. METHOD: We fielded a survey that addressed six substantive domains (integrated space, training, access, communication and coordination, treatment planning, and available resources) and five behavioral health conditions (depression, anxiety, pain, alcohol use disorder, and cognitive function). Descriptive statistics compared BHI survey respondents to all CPC practices, documented the availability of behavioral health providers, and primary care and behavioral health provider communication. Bivariate relationships compared provider and practice characteristics and domain scores. RESULTS: One hundred sixty-one of 188 eligible primary care practices completed the survey (86% response rate). Scores indicated basic to good baseline implementation of BHI in all domains, with lowest scores on communication and coordination and highest scores for depression. Higher scores were associated with: having any behavioral health provider, multispecialty practice, patient-centered medical home designation, and having any communication between behavioral health and primary care providers. CONCLUSIONS: This study provides useful data on opportunities and challenges of scaling BHI integration linked to primary care transformation. Payment reform models such as CPC can assist in BHI promotion and development.

Medical home characteristics and the pediatric patient experience.

BACKGROUND: The patient-centered medical home (PCMH) has roots in pediatrics, yet we know little about the experience of pediatric patients in PCMH settings. OBJECTIVE: To examine the association between clinic PCMH characteristics and pediatric patient experience as reported by parents. RESEARCH DESIGN: We assessed the cross-sectional correlation between clinic PCMH characteristics and pediatric patient experience in 24 clinics randomly selected from the Safety Net Medical Home Initiative, a 5-state PCMH demonstration project. PCMH characteristics were measured with surveys of randomly selected providers and staff; surveys generated 0 (worst) to 100 (best) scores for 5 subscales, and a total score. Patient experience was measured through surveying parents of pediatric patients. Questions from the Consumer Assessment of Healthcare Providers and Systems-Clinician and Group instrument produced 4 patient experience measures: timeliness, physician communication, staff helpfulness, and overall rating. To investigate the relationship between PCMH characteristics and patient experience, we used generalized estimating equations with an exchangeable correlation structure. RESULTS: We included 440 parents and 214 providers and staff in the analysis. Total PCMH score was not associated with parents' assessment of patient experience; however, PCMH subscales were associated with patient experience in different directions. In particular, quality improvement activities undertaken by clinics were strongly associated with positive ratings of patient experience, whereas patient care management activities were associated with more negative reports of patient experience. CONCLUSIONS: Future work should bolster features of the PCMH that work well for patients while investigating which PCMH features negatively impact patient experience, to yield a better patient experience overall.

Associations between medical home characteristics and support for patient activation in the safety net: understanding differences by race, ethnicity, and health status.

BACKGROUND: Few studies have evaluated whether the patient-centered medical home (PCMH) supports patient activation and none have evaluated whether support for patient activation differs among racial and ethnic groups or by health status. This is critical because activation is lower on average among minority patients and those in poorer health. OBJECTIVE: To assess the association between clinic PCMH characteristics and patient perception of clinic support for patient activation, and whether that association varies by patients' self-reported race/ethnicity or health status. PARTICIPANTS: A total of 214 providers/staff and 735 patients in 24 safety net clinics across 5 states. MEASURES: Provider/staff surveys produced a 0-100 score for PCMH characteristics. Patient surveys used the patient activation subscale of the Patient Assessment of Chronic Illness Care to produce a 0-100 score for patient perception of clinic support for patient activation. RESULTS: Across all patients, we did not find a statistically significant association between PCMH score and clinic support for patient activation. However, among the subgroup of minority patients in fair or poor health, a 10-point higher PCMH score was associated with a 14.5-point (CI, 4.4, 24.5) higher activation score. CONCLUSIONS: In a population of safety net patients, higher-rated PCMH characteristics were not associated with patients' perception of clinic support for activation among the full study population; however, we found a strong association between PCMH characteristics and clinic support for activation among minority patients in poor/fair health status. The PCMH may be promising for reducing disparities in patient activation for ill minority patients.

AMP-activated protein kinase phosphorylates cardiac troponin I at Ser-150 to increase myofilament calcium sensitivity and blunt PKA-dependent function.

AMP-activated protein kinase (AMPK) is an energy-sensing enzyme central to the regulation of metabolic homeostasis. In the heart AMPK is activated during cardiac stress-induced ATP depletion and functions to stimulate metabolic pathways that restore the AMP/ATP balance. Recently it was demonstrated that AMPK phosphorylates cardiac troponin I (cTnI) at Ser-150 in vitro. We sought to determine if the metabolic regulatory kinase AMPK phosphorylates cTnI at Ser-150 in vivo to alter cardiac contractile function directly at the level of the myofilament. Rabbit cardiac myofibrils separated by two-dimensional isoelectric focusing subjected to a Western blot with a cTnI phosphorylation-specific antibody demonstrates that cTnI is endogenously phosphorylated at Ser-150 in the heart. Treatment of myofibrils with the AMPK holoenzyme increased cTnI Ser-150 phosphorylation within the constraints of the muscle lattice. Compared with controls, cardiac fiber bundles exchanged with troponin containing cTnI pseudo-phosphorylated at Ser-150 demonstrate increased sensitivity of calcium-dependent force development, blunting of both PKA-dependent calcium desensitization, and PKA-dependent increases in length dependent activation. Thus, in addition to the defined role of AMPK as a cardiac metabolic energy gauge, these data demonstrate AMPK Ser-150 phosphorylation of cTnI directly links the regulation of cardiac metabolic demand to myofilament contractile energetics. Furthermore, the blunting effect of cTnI Ser-150 phosphorylation cross-talk can uncouple the effects of myofilament PKA-dependent phosphorylation from ß-adrenergic signaling as a novel thin filament contractile regulatory signaling mechanism.