The impact of patient-centered medical homes on medication adherence?

Care Management Processes Important for High-Quality Diabetes Care

OBJECTIVE

Identify the improvement in diabetes performance measures and population-based clinical outcomes resulting from changes in care management processes (CMP) in primary care practices over 3 years.

RESEARCH DESIGN AND METHODS

This repeated cross-sectional study tracked clinical performance measures for all diabetes patients seen in a cohort of 330 primary care practices in 2017 and 2019. Unit of analysis was patient-year with practice-level CMP exposures. Causal inference is based on dynamic changes in individual CMPs between years by practice. We used the Bayesian method to simultaneously estimate a five-outcome model: A1c, systolic and diastolic blood pressure, guideline-based statin use, and Optimal Diabetes Care (ODC). We control for unobserved time-invariant practice characteristics and secular change. We modeled correlation of errors across outcomes. Statistical significance was identified using 99% Bayesian credible intervals (analogous to P < 0.01).

RESULTS

Implementation of 18 of 62 CMPs was associated with statistically significant improvements in patient outcomes. Together, these resulted in 12.1% more patients meeting ODC performance measures. Different CMPs affected different outcomes. Three CMPs accounted for 47% of the total ODC improvement, 68% of A1c decrease, 21% of SBP reduction, and 55% of statin use increase: 1) systems for identifying and reminding patients due for testing, 2) after-visit follow-up by a nonclinician, and 3) guideline-based clinician reminders for preventive services during a clinic visit.

CONCLUSIONS

Effective quality improvement in primary care focuses on practice redesign that clearly improves diabetes outcomes. Tailoring CMP adoption in primary care provides effective improvement in ODC performance through focused changes in diabetes outcomes.

The impact of Community Health Centers on inappropriate use of emergency services

Community Health Centers offer coordinated and comprehensive responses to primary care needs. Our study aims at assessing whether the introduction of such organizational model improved health outcomes measured by inappropriate emergency visits among diabetics in the Emilia-Romagna region of Italy. Using difference-in-differences methods within a staggered treatment setting, we estimate the effect of Community Health Center participation on inappropriate hospital emergency visits between year 2010 and year 2016. We distinguish between emergency department admissions for varying time spans, occurring at daytime during working days, at night-time, as well as during weekends. We show that, the causal effect of the adoption of the community care model leads to a reduction in the probability of inappropriate admissions by an amount ranging between 1.6 and 1.7% points during working days at daytime, with large facilities responsible for most gains by experiencing a decrease ranging between 4 and 3% points. Conversely, we detect no difference at night-time and during weekends. Our results point out that the coordinated care model increases appropriateness among vulnerable patients, and that extending opening hours and the range of services can further enhance such benefits.

Supply-side solutions targeting demand-side characteristics: causal effects of a chronic disease management program on adherence and health outcomes

We estimate the effects of a chronic disease management program (CDMP) which adapts various supply-side interventions to specific demand-side conditions (disease-staging) for patients with chronic kidney disease (CKD). Using a unique dataset on the entire population of the Emilia-Romagna region of Italy with hospital-diagnosed CKD, we estimate the causal effects of the CDMP on adherence indicators and health outcomes. As CKD is a progressive disease with clearly-defined disease stages and a treatment regimen that can be titrated by disease severity, we calculate dynamic, severity-specific, indicators of adherence as well as several long-term health outcomes. Our empirical work produces statistically significant and sizeable causal effects on many adherence and health outcome indicators across all CKD patients. More interestingly, we show that the CDMP produces larger effects on patients with early-stage CKD, which is at odds with some of the literature on CDMP that advocates intensifying interventions for high-cost (or late-stage) patients. Our results suggest that it may be more efficient to target early-stage patients to slow the deterioration of their health capital. The results contribute to a small, recent literature in health economics that focuses on the marginal effectiveness of CDMPs after controlling either for supply- or demand-side sources of heterogeneity.

Awareness of diagnosis, treatment plan and prognosis among patients attending public hospitals and health centers in Addis Ababa, Ethiopia

Introduction

Providing patient-centered care is one of the key focus areas of the Ethiopian Health Service Transformation Plan. To this end, improving health literacy of the community is critical. However, there is limited evidence about the health literacy of Ethiopians, especially among those who visit health facilities.

Objective

The aim of this study was to examine awareness of diagnosis, treatment plan and prognosis among patients at the time of their exit from public hospitals and health centers.

Methods

A cross-sectional study was conducted among 627 patients in two public hospitals and selected health centers in Addis Ababa, using a systematic random sampling technique from inpatient and outpatient departments (OPD). A total of 579 study participants had complete data and were included in this analysis. A structured, pre-tested and interview-administered questionnaire was used to collect data. We used proportions to describe the findings and logistic regression analyses to assess factors associated with awareness of diagnosis, treatment plan and prognosis.

Result

About three-fifths (61.9%) and 52.8% of the study participants knew correctly their diagnosis and treatment plan respectively. More than two-thirds, 68.4%, said that they knew about the prognosis of their illness. However, only 21 (3.6%) patient medical records had information on prognosis. Gynecologic patients had significantly lower awareness about their diagnosis and treatment plan as compared to those from a general outpatient department. Emergency patients had significantly lower awareness of their treatment plan (OR = 0.27; 95% CI: 0.11,0.68) and prognosis (OR = 0.21; 95% CI: 0.09,0.50) than new OPD patients. Patients who indicated they had a good experience at their clinical assessment had significantly lower awareness of their prognosis (OR = 0.25; 95% CI: 0.08, 0.81).

Conclusion

A significant proportion of patients didn’t know their correct diagnosis, treatment plan and prognosis. This was more pronounced among gynecologic and emergency patients. More efforts are needed to strengthen patient-provider interaction.

An integrated continuity of care measure improves performance in models predicting medication adherence using population-based administrative data

OBJECTIVES

Continuity of care (COC) is considered an important determinant of medication adherence based on measures such as the usual provider continuity index (UPCI) that are derived exclusively from physician visit claims. This study aimed to: a) determine if high UPCI values predict physicians who deliver different clinical services; and b) compare UPCI with an integrated COC measure capturing physician visits, prescribing, and a complete medical examination in a multivariable model of patients receiving statin medications.

METHODS

This was a retrospective cohort study of new statin users between 2012 and 2017 in Saskatchewan, Canada. We calculated sensitivity/specificity of a high UPCI value for predicting physicians who were prescribers of statins and/or providers of complete medical examinations. Next, we used logistic regression models to test two measures of COC (high UPCI value or an integrated COC measure) on the outcome of optimal statin adherence (proportion of days covered ≥80%). The DeLong test was used to compare predictive performance of the two models.

RESULTS

Among 55,144 new statin users, a high UPCI was neither a sensitive or specific marker of physicians who prescribed statins or performed a complete medical examination. The integrated COC measure had a stronger association with optimal adherence [adjusted odds ratio (OR) = 1.56, 95% confidence interval (CI) 1.50 to 1.63] than UPCI (adjusted OR = 1.23, 95% CI 1.19 to 1.28), and improved predictive performance of the adherence model.

CONCLUSION

The number of physician visits alone appears to be insufficient to represent COC. An integrated measure improves predictive performance for optimal medication adherence in patients initiating statins.

Impact of a Statewide Multi-Payer Patient-Centered Medical Home Program on Antihypertensive Medication Adherence

Evidence suggests that the patient-centered medical home (PCMH) model of primary care improves management of chronic disease, but there is limited research contrasting this model's effect when financed by a single payer versus multiple payers, and among patients with different types of health insurance. This study evaluates the impact of a statewide medical home demonstration, the Maryland Multi-Payer PCMH Program (MMPP), on adherence to antihypertensive medication therapy relative to non-PCMH primary care and to the PCMH model when financed by a single payer. The authors used a difference-in-differences analytic design to analyze changes in medication possession ratio for antihypertensive medications among Medicaid-insured and privately insured non-elderly adult patients attributed to primary care practices in the MMPP ("multi-payer PCMHs"), medical homes in Maryland that participated in a regional PCMH program funded by a single private payer ("single-payer PCMHs"), and non-PCMH practices in Maryland. Comparison sites were matched to multi-payer PCMHs using propensity scores based on practice characteristics, location, and aggregated provider characteristics. Multi-payer PCMHs performed better on antihypertensive medication adherence for both Medicaid-insured and privately insured patients relative to single-payer PCMHs. Statistically significant effects were not observed consistently until the second year of the demonstration. There were negligible differences in outcome trends between multi-payer medical homes and matched non-PCMH practices. Findings indicate that health care delivery innovations may yield superior population health outcomes under multi-payer financing compared to when such initiatives are financed by a single payer.

Patient-Centered Medical Homes and Pediatric Preventive Counseling

OBJECTIVE

To measure pediatric preventive counseling at patient-centered medical homes (PCMHs) compared with practices that reported undertaking some or no quality-related activities.

METHODS

We analyzed 4814 children and adolescents ages 0 to 17 who visited their usual sources of care in the nationally representative Medical Expenditure Panel Survey Medical Organizations Survey (MEPS-MOS), a household survey combined with a survey of household members' usual sources of care. We identified PCMHs using lists from certifying or accrediting organizations. For other practices in the MEPS-MOS, 2 quality-related activities were 1) reports to physicians about their clinical quality of care, and 2) electronic health record system reminders to physicians. Regressions controlled for practice, child, and family characteristics.

RESULTS

Compared with other practices, PCMHs were generally associated with greater likelihood of receiving preventive counseling. Estimates varied with the quality-related activities of the comparison practices. Counseling against smoking in the home was 10.4 to 18.7 percentage points (both P < .01) more likely for PCMHs. More associations were statistically significant for PCMHs compared with practices that undertook 1 of 2 quality-related activities examined. Among children ages 2 to 5, compared with practices undertaking both quality-related activities, those with PCMHs were more likely to receive counseling on 3 of 5 topics. Among adolescents, compared with practices undertaking both quality-related activities, those with PCMHs were more likely to receive counseling on smoking, exercise, and eating healthy.

CONCLUSIONS

PCMHs were associated with substantially greater receipt of pediatric preventive counseling. Evaluations of PCMHs need to account for the quality-related activities of comparison practices.

Model Homes: Evaluating Approaches to Patient-centered Medical Home Implementation

BACKGROUND

The patient-centered medical home (PCMH) model has been widely adopted, but the evidence on its effectiveness remains mixed. One potential explanation for these mixed findings is variation in how the model is implemented by practices.

OBJECTIVE

To identify the impact of different approaches to PCMH adoption on health care utilization in a long-term, geographically diverse sample of patients.

DESIGN

Difference-in-differences evaluation of PCMH impact on cost and utilization.

SUBJECTS

A total of 5,314,284 patient-year observations from the HealthCore Integrated Research Database, and 5943 practices which adopted the PCMH model in 14 states between 2011 and 2015.

INTERVENTION

PCMH adoption, as defined by the National Committee for Quality Assurance.

MEASUREMENTS

Six claims-based utilization measures, plus total health care expenditures. We employ hierarchical clustering to organize practices into groups based on their PCMH capabilities, then use generalized difference-in-differences models with practice or patient fixed effects to estimate the effect of PCMH recognition (overall and separately by the groups identified by the clustering algorithm) on utilization.

RESULTS

PCMH adoption was associated with a >8% reduction in total expenditures. We find significant reductions in emergency department utilization and outpatient care, and both lab and imaging services. In our by-group results we find that while the reduction in outpatient care is significant across all 3 groups, the reduction in emergency department utilization is driven entirely by 1 group with enhanced electronic communications.

CONCLUSION

The PCMH model has significant impact on patterns of health care utilization, especially when heterogeneity in implementation is accounted for in program evaluation.

Right-Site Care Programme with a community-based family medicine clinic in Singapore: secondary data analysis of its impact on mortality and healthcare utilisation

OBJECTIVE

Stable patients with chronic conditions could be appropriately cared for at family medicine clinics (FMC) and discharged from hospital specialist outpatient clinics (SOCs). The Right-Site Care Programme with Frontier FMC emphasised care organised around patients in community rather than hospital-based providers, with one identifiable primary provider. This study evaluated impact of this programme on mortality and healthcare utilisation.

DESIGN

A retrospective study without randomisation using secondary data analysis of patients enrolled in the intervention matched 1:1 with unenrolled patients as controls.

SETTING

Programme was supported by the Ministry of Health in Singapore, a city-state nation in Southeast Asia with 5.6 million population.

PARTICIPANTS

Intervention group comprises patients enrolled from January to December 2014 (n=684) and control patients (n=684) with at least one SOC and no FMC attendance during same period.

INTERVENTIONS

Family physician in Frontier FMC managed patients in consultation with relevant specialist physicians or fully managed patients independently. Care teams in SOCs and FMC used a common electronic medical records system to facilitate care coordination and conducted regular multidisciplinary case conferences.

PRIMARY OUTCOME MEASURES

Deidentified linked healthcare administrative data for time period of January 2011 to December 2017 were extracted. Three-year postenrolment mortality rates and utilisation frequencies and charges for SOC, public primary care centres (polyclinic), emergency department attendances and emergency, non-day surgery inpatient and all-cause admissions were compared.

RESULTS

Intervention patients had lower mortality rate (HR=0.37, p<0.01). Among those with potential of postenrolment polyclinic attendance, intervention patients had lower frequencies (incidence rate ratio (IRR)=0.60, p<0.01) and charges (mean ratio (MR)=0.51, p<0.01). Among those with potential of postenrolment SOC attendance, intervention patients had higher frequencies (IRR=2.06, p<0.01) and charges (MR=1.86, p<0.01).

CONCLUSIONS

Intervention patients had better survival, probably because their chronic conditions were better managed with close monitoring, contributing to higher total outpatient attendance frequencies and charges.

Leveraging Interprofessional Team-Based Care Toward Case Management Excellence: Part 1, History, Fundamentals, Evidence

: Health care teams continue to be a constructive way to approach, assess, coordinate, plan, and facilitate the care of clients and populations. Independent of practice setting, some type of team is in place, engaging different professionals and specialists. There has been considerable evolution of these teams over the years, with a heritage of terms to frame each one, including "multidisciplinary," "interdisciplinary," and "transdisciplinary." However, these long-standing framings have been replaced by a timelier model that shifts both focus and aim of the team effort. Interprofessional team-based care (IPTBC) sets the tone for how students entering the industry are educated and empowers the workforce to a more intentional means to the care end. This is the first in a 2-part series focusing on the evolution and implementation of IPTBC across the industry. Part 1 focuses on the history and fundamental concepts of interprofessional models. Evidence and outcomes to promote the value proposition for IPTBC implementation are also provided.

PURPOSE/OBJECTIVES

This article: PRIMARY PRACTICE SETTING(S):: Applicable to all health and behavioral health settings where case management is practiced.

FINDINGS/CONCLUSIONS

Interprofessional team-based care models demonstrate a successful means to achieve client-driven, quality, and cost-effective care across disease states and practice settings.

IMPLICATIONS FOR CASE MANAGEMENT PRACTICE

With case management so closely linked to the fiscal imperatives of organizations, engagement in IPTBC is a necessity for every practice setting. Poor team collaboration contributes to unsuccessful outcomes for clients, increased costs, and concerning quality and risk management issues for the organization. The latest generation of value-based care initiatives and complex population health needs (e.g., social determinants of health, co-occurring physical and behavioral health) translates to greater pressures on case managers to maximize financial risk and attain their share of financial incentives (e.g., bonuses, shared savings) by avoiding readmissions, preventable complications, and duplicate services.

Provider Perspectives of Medication Complexity in Home Health Care: A Qualitative Secondary Data Analysis

A primary service provided by home care is medication management. Issues with medication management at home place older adults at high risk for hospital admission, readmission, and adverse events. This study sought to understand medication management challenges from the home care provider perspective. A qualitative secondary data analysis approach was used to analyze program evaluation interview data from an interprofessional educational intervention study designed to decrease medication complexity in older urban adults receiving home care. Directed and summative content analysis approaches were used to analyze data from 90 clinician and student participants. Medication safety issues along with provider–provider communication problems were central themes with medication complexity. Fragmented care coordination contributed to medication management complexity. Patient-, provider-, and system-level factors influencing medication complexity and management were identified as contributing to both communication and coordination challenges.