Workforce Configurations to Provide High-Quality, Comprehensive Primary Care: a Mixed-Method Exploration of Staffing for Four Types of Primary Care Practices.

BACKGROUND: Broad consensus exists about the value and principles of primary care; however, little is known about the workforce configurations required to deliver it. OBJECTIVE: The aim of this study was to explore the team configurations and associated costs required to deliver high-quality, comprehensive primary care. METHODS: We used a mixed-method and consensus-building process to develop staffing models based on data from 73 exemplary practices, findings from 8 site visits, and input from an expert panel. We first defined high-quality, comprehensive primary care and explicated the specific functions needed to deliver it. We translated the functions into full-time-equivalent staffing requirements for a practice serving a panel of 10,000 adults and then revised the models to reflect the divergent needs of practices serving older adults, patients with higher social needs, and a rural community. Finally, we estimated the labor and overhead costs associated with each model. RESULTS: A primary care practice needs a mix of 37 team members, including 8 primary care providers (PCPs), at a cost of $45 per patient per month (PPPM), to provide comprehensive primary care to a panel of 10,000 actively managed adults. A practice requires a team of 52 staff (including 12 PCPs) at $64 PPPM to care for a panel of 10,000 adults with a high proportion of older patients, and 50 staff (with 10 PCPs) at $56 PPPM for a panel of 10,000 with high social needs. In rural areas, a practice needs 22 team members (with 4 PCPs) at $46 PPPM to serve a panel of 5000 adults. CONCLUSIONS: Our estimates provide health care decision-makers with needed guideposts for considering primary care staffing and financing and inform broader discussions on primary care innovations and the necessary resources to provide high-quality, comprehensive primary care in the USA.

How Do Innovative Primary Care Practices Achieve the Quadruple Aim?

The Patient-Centered Medical Home (PCMH) now defines excellent primary care. Recent literature has begun to elucidate the components of PCMHs that improve care and reduce costs, but there is little empiric evidence that helps practices, payers, or policy makers understand how high-performing practices have improved outcomes. We report the findings from 38 such practices that fill this gap. We describe how they execute 8 functions that collectively meet patient needs. They include managing populations, providing self-management support coaching, providing integrated behavioral health care, and managing referrals. The functions provide a more actionable perspective on the work of primary care.

A review of instruments to measure interprofessional team-based primary care.

Interprofessional team-based care is increasingly regarded as an important feature of delivery systems redesigned to provide more efficient and higher quality care, including primary care. Measurement of the functioning of such teams might enable improvement of team effectiveness and could facilitate research on team-based primary care. Our aims were to develop a conceptual framework of high-functioning primary care teams to identify and review instruments that measure the constructs identified in the framework, and to create a searchable, web-based atlas of such instruments (available at: http://primarycaremeasures.ahrq.gov/team-based-care/ ). Our conceptual framework was developed from existing frameworks, the teamwork literature, and expert input. The framework is based on an Input-Mediator-Output model and includes 12 constructs to which we mapped both instruments as a whole, and individual instrument items. Instruments were also reviewed for relevance to measuring team-based care, and characterized. Instruments were identified from peer-reviewed and grey literature, measure databases, and expert input. From nearly 200 instruments initially identified, we found 48 to be relevant to measuring team-based primary care. The majority of instruments were surveys (n = 44), and the remainder (n = 4) were observational checklists. Most instruments had been developed/tested in healthcare settings (n = 30) and addressed multiple constructs, most commonly communication (n = 42), heedful interrelating (n = 42), respectful interactions (n = 40), and shared explicit goals (n = 37). The majority of instruments had some reliability testing (n = 39) and over half included validity testing (n = 29). Currently available instruments offer promise to researchers and practitioners to assess teams' performance, but additional work is needed to adapt these instruments for primary care settings.

Development of a facilitation curriculum to support primary care transformation: the "coach medical home" curriculum.

BACKGROUND: In an effort to improve patient care, retain high-quality primary care providers, and control costs, primary care practices across the United States are transforming to patient-centered medical homes. This is no small task. Practice facilitation, also called "coaching," is increasingly being used to support system change; however, there is limited guidance for these programs. OBJECTIVE: To develop an evidence-based curriculum to help practice coaches guide broad-scale transformation efforts in primary care. METHODS: We gathered evidence about effective practice transformation coaching from 25 published programs and 8 expert interviews. Given limited published information, we drew extensively on our experience as leaders and coaches in the Safety Net Medical Home Initiative. Using these data, and with input from a User Group, we identified 6 curricular topics and created learning objectives and curricular content related to these topics. RESULTS: The Coach Medical Home curriculum guides coaches in the following areas: getting started with a practice; recognition and payment; sequencing changes; measurement; learning communities; and sustainability and spread. CONCLUSIONS: Coach Medical Home is a publically available web-based curriculum that provides tools, resources, and guidance for practice transformation support programs, including practice facilitators and learning community organizers.

A conceptual model of the role of complexity in the care of patients with multiple chronic conditions.

BACKGROUND: Effective healthcare for people with multiple chronic conditions (MCC) is a US priority, but the inherent complexity makes both research and delivery of care particularly challenging. As part of AHRQ Multiple Chronic Conditions Research Network (MCCRN) efforts, the Network developed a conceptual model to guide research in this area. OBJECTIVE: To synthesize methodological and topical issues relevant to MCC patient care into a framework that can improve the delivery of care and advance future research about caring for patients with MCC. METHODS: The Network synthesized essential constructs for MCC research identified from roundtable discussion, input from expert advisors, and previously published models. RESULTS: The AHRQ MCCRN conceptual model defines complexity as the gap between patient needs and healthcare services, taking into account both the multiple considerations that affect the needs of MCC patients, as well as the contextual factors that influence service delivery. The model reframes processes and outcomes to include not only clinical care quality and experience, but also patient health, well being, and quality of life. The single-condition paradigm for treating needs one-by-one falls apart and highlights the need for care systems to address dynamic patient needs. CONCLUSIONS: Defining complexity in terms of the misalignment between patient needs and services offers new insights in how to research and develop solutions to patient care needs.

Assessing progress toward becoming a patient-centered medical home: an assessment tool for practice transformation.

OBJECTIVE: To describe the properties of the Patient-Centered Medical Home Assessment (PCMH-A) as a tool to stimulate and monitor progress among primary care practices interested in transforming to patient-centered medical homes (PCMHs). STUDY SETTING: Sixty-five safety net practices from five states participating in a national demonstration program for PCMH transformation. STUDY DESIGN: Longitudinal analyses of PCMH-A scores were performed. Scores were reviewed for agreement and sites were categorized over time into one of five categories by external facilitators. Comparisons to key activity completion rates and NCQA PCMH recognition status were completed. DATA COLLECTION/EXTRACTION METHODS: Multidisciplinary teams at each practice completed the 33-item self-assessment tool every 6 months between March 2010 and September 2012. PRINCIPAL FINDINGS: Mean overall PCMH-A scores increased (7.2, March 2010, to 9.1, September 2012; [p < .01]). Increases were statistically significant for each of the change concepts (p < .05). Facilitators agreed with scores 82% of the time. NCQA-recognized sites had higher PCMH-A scores than sites that were not yet recognized. Sites that completed more transformation activities and progressed over defined tiers reported higher PCMH-A scores. Scores improved most in areas where technical assistance was provided. CONCLUSIONS: The PCMH-A was sensitive to change over time and provided an accurate reflection of practice transformation.

Prevalence, incidence and determinants of PTSD and other mental disorders: design and methods of the PID-PTSD+3 study.

Investigation of the prevalence, incidence, and determinants of post-traumatic stress disorders (PTSD) and other mental disorders associated with military deployment in international missions poses several methodological and procedural challenges. This paper describes the design and sampling strategies, instruments, and experimental procedures applied in a study programme aimed to examine military deployment-related mental health and disorders (prevalence and trajectories) and to identify vulnerability and risk factors (e.g. age, gender, type of mission, rank, and duration of deployment and a wide range of neurobiological, psychological, social, and behavioural factors). The study comprised two components. The first component, a cross-sectional study, included 1483 deployed and 889 non-deployed German soldiers (response rate, 93%) who served during the 2009 International Security Assistance Force (ISAF) mission. A standardized diagnostic instrument (Composite International Diagnostic Interview, CIDI) coupled with established questionnaires was administered to detect and diagnose PTSD and a broad spectrum of mental disorders and mental health problems. The second component, a prospective-longitudinal study, included 621 soldiers examined before (2011) and after return (2012) from the ISAF mission. In addition to the CIDI and questionnaires, several experimental behavioural tests and biological markers were implemented to probe for incident mental disorders, mental health problems and risk factors. Our methods are expected to provide greater precision than previous studies for estimating the risk for incident deployment-related and non-deployment-related disorders and their risk factors. We expect the findings to advance our understanding of a wide spectrum of adverse mental health outcomes beyond PTSD.

Twelve evidence-based principles for implementing self-management support in primary care.

BACKGROUND: Recommendations to improve self-management support and health outcomes for people with chronic conditions in primary care settings are provided on the basis of expert opinion supported by evidence for practices and processes. Practices and processes that could improve self-management support in primary care were identified through a nominal group process. In a targeted search strategy, reviews and meta-analyses were then identifed using terms from a wide range of chronic conditions and behavioral risk factors in combination with Self-Care, Self-Management, and Primary Care. On the basis of these reviews, evidence-based principles for self-management support were developed. FINDINGS: The evidence is organized within the framework of the Chronic Care Model. Evidence-based principles in 12 areas were associated with improved patient self-management and/or health outcomes: (1) brief targeted assessment, (2) evidence-based information to guide shared decision-making, (3) use of a nonjudgmental approach, (4) collaborative priority and goal setting, (5) collaborative problem solving, (6) self-management support by diverse providers, (7) self-management interventions delivered by diverse formats, (8) patient self-efficacy, (9) active followup, (10) guideline-based case management for selected patients, (11) linkages to evidence-based community programs, and (12) multifaceted interventions. A framework is provided for implementing these principles in three phases of the primary care visit: enhanced previsit assessment, a focused clinical encounter, and expanded postvisit options. CONCLUSIONS: There is a growing evidence base for how self-management support for chronic conditions can be integrated into routine health care.

Activation of patients for successful self-management.

Patients, not healthcare providers, are the primary managers of their health conditions. Current healthcare falls short of providing the kind of support that patients need to optimally manage their conditions. But there are simple and effective self-management support tools and methods that are easy to learn and can be used within the time constraints of the office visit. In addition to tools and methods, supporting self-management requires practice redesign to reliably deliver optimal care to all patients. Whether the care team consists of a solo physician or a large, multiphysician organization, applying basic principles and using simple tools can enable patients to take a more active role in improving their health.

Reducing risks in diabetes self-management: a systematic review of the literature.

OBJECTIVE: The purpose of this systematic review was to review published literature on risk-reducing interventions as part of diabetes self-management. DATA SOURCES: Medline (1990-2007), CINAHL (1990-2007), and Cochrane Central Register of Controlled Trials (first quarter 2007) databases were searched. Reference lists from included studies were reviewed to identify additional studies. STUDY SELECTION: Intervention studies that addressed reducing risks to help prevent or minimize diabetes complications were included. DATA EXTRACTION: Study design, sample characteristics, interventions, and outcomes were extracted. DATA SYNTHESIS: Thirty-three studies, represented by 39 articles, met the criteria for inclusion and were classified as smoking cessation (n = 3), eye examination (n = 2), foot care (n = 10), oral health (n = 2), vaccination (n = 1), cardiovascular risk reduction (n = 9), and comprehensive risk reduction (n = 6). Only 46.3% of the 283 outcomes measured in the 33 studies were significantly improved. CONCLUSIONS: Reducing risks involves implementing effective risk reduction behaviors to prevent or slow the progression of diabetes complications. Recognizing risk factors for complications and what constitutes optimal preventive care is an important part of managing diabetes. Intervention studies are lacking in some areas of reducing risks. Further studies are needed to test specific interventions to reduce the risks of diabetes complications.

Effect of 1-desamino-8-D-arginine vasopressin on prepulse inhibition of startle supports a central etiology of primary monosymptomatic enuresis.

OBJECTIVE: To test the hypothesis that 1-desamino-8-D-arginine vasopressin (dDAVP) has an effect on prepulse inhibition (PPI) of startle in patients with primary monosymptomatic enuresis (PME), thus indicating a central effect. STUDY DESIGN: Patients with PME (n = 21, age 6 to 12 years) were enrolled in a prospective, randomized, double-blinded, cross-over study. Startle reflexes and PPI were measured under dDAVP treatment versus placebo. RESULTS: The data show that dDAVP has a significant effect on PPI, raising it from 38.88% under placebo to the age-related normal level of 62.6% with dDAVP treatment (P = .0127). CONCLUSIONS: Our findings revive the concept of a central pathophysiology of PME and offer a different explanation for the effects of dDAVP, which not only acts on the kidney, but also is (as is AVP) a central neurotransmitter with a signal cascade on relevant reflex mechanisms.

A pilot study of telephone care management and structured disease self-management groups for chronic depression.

OBJECTIVE: The authors developed, implemented, and pilot-tested intervention programs to provide effective care for chronic or recurrent depression. METHODS: A total of 104 patients with chronic or recurrent depression were randomly assigned to one of four groups: continued usual behavioral health care, usual care plus telephone monitoring and care management by a care manager, usual care plus care management plus a peer-led chronic-disease self-management group program, or usual care plus care management plus a professionally led depression psychotherapy group. Outcomes in intent-to-treat analyses were assessed at three, six, nine, and 12 months and included treatment participation rates, Hopkins Symptom Checklist depression scale scores, major depression (Structured Clinical Interview for DSM-IV), Patient-Rated Global Improvement ratings, treatment satisfaction, and adequacy of medication. RESULTS: Participation in care management was high in the three intervention groups. Close to 60% of participants invited to both group interventions attended at least an initial meeting, but a greater number assigned to the care management plus the professionally led group continued participation through the 12-month period. The sample was too small to reliably detect small or moderate differences in clinical outcomes, but various measures consistently favored the care management plus professionally led group. CONCLUSIONS: It is feasible to direct additional intervention services to patients with persistent or recurring depression. A larger trial of organized self-management support for chronic depression will be necessary for a definitive evaluation of program effectiveness.

Qualitative study of an intervention for depression among patients with diabetes: how can we optimize patient-professional interaction?

OBJECTIVES: To describe the communication between the depression care specialist (DCS) nurses and patients with both depression and diabetes in an intervention study. Our aims were to inform both the quantitative findings of the present trial and the design of future primary care intervention studies. METHODS: Qualitative content analysis of consultations between DCS nurses and patients in nine primary care clinics. RESULTS: Patients experienced a wide range of physical, social and psychological problems. The DCS nurses employed a range of interventions in addition to the problem-solving and case-management skills that formed the basis of this intervention. CONCLUSIONS: Patients sometimes posed difficulties in being unable to understand the treatment, unprepared to engage with a new treatment and unready (or even unable) to acquire new skills. To optimize the interaction between patient and professional in the case management of depression and diabetes, training should provide guidance in the use of different models of care (medical and psychological), help case managers to identify and negotiate problem scenarios and combine an active model of therapy such as problem-solving treatment for primary care (PST-PC) with elements from motivational interviewing, ensure effective engagement in treatment, and specifically explore how interaction between depression and diabetes might result in adverse outcomes.

Finding common ground: patient-centeredness and evidence-based chronic illness care.

Health outcomes for patients with major chronic illnesses depend on the appropriate use of proven pharmaceuticals and other therapeutic technologies, and effective self-management by patients. Effective chronic illness care then bases clinical decisions on the best, rigorous scientific evidence, or evidence-based medicine. Effective support for patient self-management includes efforts to increase patient participation in care and collaborative goal-setting and planning of treatment. These interventions appear somewhat consistent with recent conceptualizations of patient-centered care. The consistent delivery of proven therapies and information and support for self-management requires practice systems organized for that purpose. The Chronic Care Model is a compilation of those practice system changes shown to improve chronic care. This paper explores the concept of patient-centeredness and its relationship to the Chronic Care Model. We conclude that the Model is both evidence-based and patient-centered and that these can be properties of health systems, and not just of individual practitioners.

Assessing the implementation of the chronic care model in quality improvement collaboratives.

OBJECTIVE: To measure organizations' implementation of Chronic Care Model (CCM) interventions for chronic care quality improvement (QI). DATA SOURCES/STUDY SETTING: Monthly reports submitted by 42 organizations participating in three QI collaboratives to improve care for congestive heart failure, diabetes, depression, and asthma, and telephone interviews with key informants in the organizations. STUDY DESIGN: We qualitatively analyzed the implementation activities of intervention organizations as part of a larger effectiveness evaluation of yearlong collaboratives. Key study variables included measures of implementation intensity (quantity and depth of implementation activities) as well as fidelity to the CCM. DATA COLLECTION/EXTRACTION METHODS: We developed a CCM-based scheme to code sites' intervention activities and criteria to rate their depth or likelihood of impact. PRINCIPAL FINDINGS: The sites averaged more than 30 different change efforts each to implement the CCM. The depth ratings for these changes, however, were more modest, ranging from 17 percent to 76 percent of the highest rating possible. The participating organizations significantly differed in the intensity of their implementation efforts (p<.001 in both quantity and depth ratings). Fidelity to the CCM was high. CONCLUSIONS: Collaborative participants were able, with some important variation, to implement large numbers of diverse QI change strategies, with high CCM fidelity and modest depth of implementation. QI collaboratives are a useful method to foster change in real world settings.

Development and validation of the Patient Assessment of Chronic Illness Care (PACIC).

RATIONALE: There is a need for a brief, validated patient self-report instrument to assess the extent to which patients with chronic illness receive care that aligns with the Chronic Care Model-measuring care that is patient-centered, proactive, planned and includes collaborative goal setting; problem-solving and follow-up support. SAMPLE: A total of 283 adults reporting one or more chronic illness from a large integrated health care delivery system were studied. METHODS: Participants completed the 20-item Patient Assessment of Chronic Illness Care (PACIC) as well as measures of demographic factors, a patient activation scale, and subscales from a primary care assessment instrument so that we could evaluate measurement performance, construct, and concurrent validity of the PACIC. RESULTS: The PACIC consists of 5 scales and an overall summary score, each having good internal consistency for brief scales. As predicted, the PACIC was only slightly correlated with age and gender, and unrelated to education. Contrary to prediction, it was only slightly correlated (r = 0.13) with number of chronic conditions. The PACIC demonstrated moderate test-retest reliability (r = 0.58 during the course of 3 months) and was correlated moderately, as predicted (r = 0.32-0.60, median = 0.50, P < 0.001) to measures of primary care and patient activation. DISCUSSION: The PACIC appears to be a practical instrument that is reliable and has face, construct, and concurrent validity. The resulting questionnaire is in the public domain, and recommendations for its use in research and quality improvement are outlined.

Case management and the chronic care model: a multidisciplinary role.

The core functions of case management, assessment, planning, linking, monitoring, advocacy, and outreach assume a new perspective in the context of systems that have adopted the Chronic Care Model. This article considers case management through the experience of three systems that have implemented the Chronic Care Model. A movement toward condition neutral case management, focused on care that is more wholly patient centric, is also examined.