Trust and Reflection in Primary Care Practice Redesign

OBJECTIVE

To test a conceptual model of relationships, reflection, sensemaking, and learning in primary care practices transitioning to patient-centered medical homes (PCMH).

DATA SOURCES/STUDY SETTING

Primary data were collected as part of the American Academy of Family Physicians' National Demonstration Project of the PCMH.

STUDY DESIGN

We conducted a cross-sectional survey of clinicians and staff from 36 family medicine practices across the United States. Surveys measured seven characteristics of practice relationships (trust, diversity, mindfulness, heedful interrelation, respectful interaction, social/task relatedness, and rich and lean communication) and three organizational attributes (reflection, sensemaking, and learning) of practices.

DATA COLLECTION/EXTRACTION METHODS

We surveyed 396 clinicians and practice staff. We performed a multigroup path analysis of the data. Parameter estimates were calculated using a Bayesian estimation method.

PRINCIPAL FINDINGS

Trust and reflection were important in explaining the characteristics of practice relationships and their associations with sensemaking and learning. The strongest associations between relationships, sensemaking, and learning were found under conditions of high trust and reflection. The weakest associations were found under conditions of low trust and reflection.

CONCLUSIONS

Trust and reflection appear to play a key role in moderating relationships, sensemaking, and learning in practices undergoing practice redesign.

Practice context affects efforts to improve diabetes care for primary care patients: a pragmatic cluster randomized trial

BACKGROUND

Efforts to improve primary care diabetes management have assessed strategies across heterogeneous groups of patients and practices. However, there is substantial variability in how well practices implement interventions and achieve desired outcomes.

OBJECTIVE

To examine practice contextual features that moderate intervention effectiveness.

DESIGN

Secondary analysis of data from a cluster randomized trial of three approaches for implementing the Chronic Care Model to improve diabetes care.

PARTICIPANTS

Forty small to mid-sized primary care practices participated, with 522 clinician and staff member surveys. Outcomes were assessed for 822 established patients with a diagnosis of type 2 diabetes who had at least one visit to the practice in the 18 months following enrollment.

MAIN MEASURES

The primary outcome was a composite measure of diabetes process of care, ascertained by chart audit, regarding nine quality measures from the American Diabetes Association Physician Recognition Program: HgA1c, foot exam, blood pressure, dilated eye exam, cholesterol, nephropathy screen, flu shot, nutrition counseling, and self-management support. Data from practices included structural and demographic characteristics and Practice Culture Assessment survey subscales (Change Culture, Work Culture, Chaos).

KEY RESULTS

Across the three implementation approaches, demographic/structural characteristics (rural vs. urban + .70(p = .006), +2.44(p < .001), -.75(p = .004)); Medicaid: < 20 % vs. ≥ 20 % (-.20(p = .48), +.75 (p = .08), +.60(p = .02)); practice size: < 4 clinicians vs. ≥ 4 clinicians (+.56(p = .02), +1.96(p < .001), +.02(p = .91)); practice Change Culture (high vs. low: -.86(p = .048), +1.71(p = .005), +.34(p = .22)), Work Culture (high vs. low: -.67(p = .18), +2.41(p < .001), +.67(p = .005)) and variability in practice Change Culture (high vs. low: -.24(p = .006), -.20(p = .0771), -.44(p = .0019) and Work Culture (high vs. low: +.56(p = .3160), -1.0(p = .008), -.25 (p = .0216) were associated with trajectories of change in diabetes process of care, either directly or differentially by study arm.

CONCLUSIONS

This study supports the need for broader use of methodological approaches to better examine contextual effects on implementation and effectiveness of quality improvement interventions in primary care settings.

Coaching strategies for enhancing practice transformation

BACKGROUND

Current research on primary care practice redesign suggests that outside facilitation can be an important source of support for achieving substantial change.

OBJECTIVES

To analyse the specific sequence of strategies used by a successful practice facilitator during the American Academy of Family Physicians' (AAFP) National Demonstration Project (NDP).

METHODS

This secondary analysis describes a sequence of strategies used to produce change in family medicine practices attempting to adopt a new model of care. The authors analysed qualitative data generated by one facilitator and six practices by coding facilitator field notes, site visit reports, qualitative summaries, depth interviews and email strings.

RESULTS

The facilitator utilized practice member coaching in addition to consulting, negotiating and connecting approaches. Coaching strategies encouraged: (i) expansive, multi-directional, attentive styles of communication; (ii) solving practical problems together; (iii) modelling facilitative leadership and (iv) encouraging an expanded vision of care. Practice members who received consistent coaching reported internal shifts and new ways of conceptualizing work, not just success at implementing model components. They indicated that their facilitator had helped them think and behave in new ways while helping them achieve benchmarks.

CONCLUSIONS

It was once believed that the transition from traditional models of family medicine practice to new models of care meant implementing new technological components, suggesting that outside facilitators should act as technological and care delivery consultants. However, coaches may be especially useful in helpful in practices undertake substantial changes.

Manifestations and implications of uncertainty for improving healthcare systems: an analysis of observational and interventional studies grounded in complexity science

Background

The application of complexity science to understanding healthcare system improvement highlights the need to consider interdependencies within the system. One important aspect of the interdependencies in healthcare delivery systems is how individuals relate to each other. However, results from our observational and interventional studies focusing on relationships to understand and improve outcomes in a variety of healthcare settings have been inconsistent. We sought to better understand and explain these inconsistencies by analyzing our findings across studies and building new theory.

Methods

We analyzed eight observational and interventional studies in which our author team was involved as the basis of our analysis, using a set theoretical qualitative comparative analytic approach. Over 16 investigative meetings spanning 11 months, we iteratively analyzed our studies, identifying patterns of characteristics that could explain our set of results.

Our initial focus on differences in setting did not explain our mixed results. We then turned to differences in patient care activities and tasks being studied and the attributes of the disease being treated. Finally, we examined the interdependence between task and disease.

Results

We identified system-level uncertainty as a defining characteristic of complex systems through which we interpreted our results. We identified several characteristics of healthcare tasks and diseases that impact the ways uncertainty is manifest across diverse care delivery activities. These include disease-related uncertainty (pace of evolution of disease and patient control over outcomes) and task-related uncertainty (standardized versus customized, routine versus non-routine, and interdependencies required for task completion).

Conclusions

Uncertainty is an important aspect of clinical systems that must be considered in designing approaches to improve healthcare system function. The uncertainty inherent in tasks and diseases, and how they come together in specific clinical settings, will influence the type of improvement strategies that are most likely to be successful. Process-based efforts appear best-suited for low-uncertainty contexts, while relationship-based approaches may be most effective for high-uncertainty situations.

Electronic supplementary material

The online version of this article (doi:10.1186/s13012-014-0165-1) contains supplementary material, which is available to authorized users.

A qualitative comparison of primary care clinicians' and their patients' perspectives on achieving depression care: implications for improving outcomes

Background

Improving the patient experience of primary care is a stated focus of efforts to transform primary care practices into “Patient-centered Medical Homes” (PCMH) in the United States, yet understanding and promoting what defines a positive experience from the patient’s perspective has been de-emphasized relative to the development of technological and communication infrastructure at the PCMH. The objective of this qualitative study was to compare primary care clinicians’ and their patients’ perceptions of the patients’ experiences, expectations and preferences as they try to achieve care for depression.

Methods

We interviewed 6 primary care clinicians along with 30 of their patients with a history of depressive disorder attending 4 small to medium-sized primary care practices from rural and urban settings.

Results

Three processes on the way to satisfactory depression care emerged: 1. a journey, often from fractured to connected care; 2. a search for a personal understanding of their depression; 3. creation of unique therapeutic spaces for treating current depression and preventing future episodes. Relative to patients’ observations regarding stigma’s effects on accepting a depression diagnosis and seeking treatment, clinicians tended to underestimate the presence and effects of stigma. Patients preferred clinicians who were empathetic listeners, while clinicians worried that discussing depression could open “Pandora’s box” of lengthy discussions and set them irrecoverably behind in their clinic schedules. Clinicians and patients agreed that somatic manifestations of mental distress impeded the patients’ ability to understand their suffering as depression. Clinicians reported supporting several treatment modalities beyond guideline-based approaches for depression, yet also displayed surface-level understanding of the often multifaceted support webs their patient described.

Conclusions

Improving processes and outcomes in primary care may demand heightened ability to understand and measure the patients’ experiences, expectations and preferences as they receive primary care. Future research would investigate a potential mismatch between clinicians’ and patients’ perceptions of the effects of stigma on achieving care for depression, and on whether time spent discussing depression during the clinical visit improves outcomes. Improving care and outcomes for chronic disorders such as depression may require primary care clinicians to understand and support their patients’ unique ‘therapeutic spaces.’

Practice facilitation to improve diabetes care in primary care: a report from the EPIC randomized clinical trial

PURPOSE

We investigated 3 approaches for implementing the Chronic Care Model to improve diabetes care: (1) practice facilitation over 6 months using a reflective adaptive process (RAP) approach; (2) practice facilitation for up to 18 months using a continuous quality improvement (CQI) approach; and (3) providing self-directed (SD) practices with model information and resources, without facilitation.

METHODS

We conducted a cluster-randomized trial, called Enhancing Practice, Improving Care (EPIC), that compared these approaches among 40 small to midsized primary care practices. At baseline and 9 months and 18 months after enrollment, we assessed practice diabetes quality measures from chart audits and Practice Culture Assessment scores from clinician and staff surveys.

RESULTS

Although measures of the quality of diabetes care improved in all 3 groups (all P <.05), improvement was greater in CQI practices compared with both SD practices (P <.0001) and RAP practices (P <.0001); additionally, improvement was greater in SD practices compared with RAP practices (P <.05). In RAP practices, Change Culture scores showed a trend toward improvement at 9 months (P = .07) but decreased below baseline at 18 months (P <.05), while Work Culture scores decreased from 9 to 18 months (P <.05). Both scores were stable over time in SD and CQI practices.

CONCLUSIONS

Traditional CQI interventions are effective at improving measures of the quality of diabetes care, but may not improve practice change and work culture. Short-term practice facilitation based on RAP principles produced less improvement in quality measures than CQI or SD interventions and also did not produce sustained improvements in practice culture.

Metrics for assessing improvements in primary health care

Metrics focus attention on what is important. Balanced metrics of primary health care inform purpose and aspiration as well as performance. Purpose in primary health care is about improving the health of people and populations in their community contexts. It is informed by metrics that include long-term, meaning- and relationship-focused perspectives. Aspirational uses of metrics inspire evolving insights and iterative improvement, using a collaborative, developmental perspective. Performance metrics assess the complex interactions among primary care tenets of accessibility, a whole-person focus, integration and coordination of care, and ongoing relationships with individuals, families, and communities; primary health care principles of inclusion and equity, a focus on people's needs, multilevel integration of health, collaborative policy dialogue, and stakeholder participation; basic and goal-directed health care, prioritization, development, and multilevel health outcomes. Environments that support reflection, development, and collaborative action are necessary for metrics to advance health and minimize unintended consequences.

Small primary care practices face four hurdles--including a physician-centric mind-set--in becoming medical homes

Transforming small independent practices to patient-centered medical homes is widely believed to be a critical step in reforming the US health care system. Our team has conducted research on improving primary care practices for more than fifteen years. We have found four characteristics of small primary care practices that seriously inhibit their ability to make the transformation to this new care model. We found that small practices were extremely physician-centric, lacked meaningful communication among physicians, were dominated by authoritarian leadership behavior, and were underserved by midlevel clinicians who had been cast into unimaginative roles. Our analysis suggests that in addition to payment reform, a shift in the mind-set of primary care physicians is needed. Unless primary care physicians can adopt new mental models and think in new ways about themselves and their practices, it will be very difficult for them and their practices to create innovative care teams, become learning organizations, and act as good citizens within the health care neighborhood.

Effects of facilitated team meetings and learning collaboratives on colorectal cancer screening rates in primary care practices: a cluster randomized trial

PURPOSE

The purpose of this study was to evaluate a primary care practice-based quality improvement (QI) intervention aimed at improving colorectal cancer screening rates.

METHODS

The Supporting Colorectal Cancer Outcomes through Participatory Enhancements (SCOPE) study was a cluster randomized trial of New Jersey primary care practices. On-site facilitation and learning collaboratives were used to engage multiple stakeholders throughout the change process to identify and implement strategies to enhance colorectal cancer screening. Practices were analyzed using quantitative (medical records, surveys) and qualitative data (observations, interviews, and audio recordings) at baseline and a 12-month follow-up.

RESULTS

Comparing intervention and control arms of the 23 participating practices did not yield statistically significant improvements in patients' colorectal cancer screening rates. Qualitative analyses provide insights into practices' QI implementation, including associations between how well leaders fostered team development and the extent to which team members felt psychologically safe. Successful QI implementation did not always translate into improved screening rates.

CONCLUSIONS

Although single-target, incremental QI interventions can be effective, practice transformation requires enhanced organizational learning and change capacities. The SCOPE model of QI may not be an optimal strategy if short-term guideline concordant numerical gains are the goal. Advancing the knowledge base of QI interventions requires future reports to address how and why QI interventions work rather than simply measuring whether they work.

Transforming physician practices to patient-centered medical homes: lessons from the national demonstration project

Many commentators view the conversion of small, independent primary care practices into patient-centered medical homes as a vital step in creating a better-performing health care system. The country's first national medical home demonstration, which ran from June 1, 2006, to May 31, 2008, and involved thirty-six practices, showed that this transformation can be lengthy and complex. Among other features, the transformation process requires an internal capability for organizational learning and development; changes in the way primary care clinicians think about themselves and their relationships with patients as well as other clinicians on the care team; and awareness on the part of primary care clinicians that they will need to make long-term commitments to change that may require three to five years of external assistance. Additionally, transforming primary care requires synchronizing practice redesign with development of the health care "neighborhood," which is made up of a broad range of health and health care resources available to patients. It also requires payment reform that supports practice development and a policy environment that sets reasonable expectations and time frames for the adoption of appropriate innovations.

Using Learning Teams for Reflective Adaptation (ULTRA): insights from a team-based change management strategy in primary care

PURPOSE

The Using Learning Teams for Reflective Adaptation (ULTRA) study used facilitated reflective adaptive process (RAP) teams to enhance communication and decision making in hopes of improving adherence to multiple clinical guidelines; however, the study failed to show significant clinical improvements. The purpose of this study was to examine qualitative data from 25 intervention practices to understand how they engaged in a team-based collaborative change management strategy and the types of issues they addressed.

METHODS

We analyzed field notes and interviews from a multimethod practice assessment, as well as field notes and audio-taped recordings from RAP meetings, using an iterative group process and an immersion-crystallization approach.

RESULTS

Despite a history of not meeting regularly, 18 of 25 practices successfully convened improvement teams. There was evidence of improved practice-wide communication in 12 of these practices. At follow-up, 8 practices continued RAP meetings and found the process valuable in problem solving and decision making. Seven practices failed to engage in RAP primarily because of key leaders dominating the meeting agenda or staff members hesitating to speak up in meetings. Although the number of improvement targets varied considerably, most RAP teams targeted patient care-related issues or practice-level organizational improvement issues. Not a single practice focused on adherence to clinical care guidelines.

CONCLUSION

Primary care practices can successfully engage in facilitated team meetings; however, leaders must be engaged in the process. Additional strategies are needed to engage practice leaders, particularly physicians, and to target issues related to guideline adherence.

Defining and measuring the patient-centered medical home

The patient-centered medical home (PCMH) is four things: 1) the fundamental tenets of primary care: first contact access, comprehensiveness, integration/coordination, and relationships involving sustained partnership; 2) new ways of organizing practice; 3) development of practices' internal capabilities, and 4) related health care system and reimbursement changes. All of these are focused on improving the health of whole people, families, communities and populations, and on increasing the value of healthcare. The value of the fundamental tenets of primary care is well established. This value includes higher health care quality, better whole-person and population health, lower cost and reduced inequalities compared to healthcare systems not based on primary care. The needed practice organizational and health care system change aspects of the PCMH are still evolving in highly related ways. The PCMH will continue to evolve as evidence comes in from hundreds of demonstrations and experiments ongoing around the country, and as the local and larger healthcare systems change. Measuring the PCMH involves the following: Giving primacy to the core tenets of primary care. Assessing practice and system changes that are hypothesized to provide added value Assessing development of practices' core processes and adaptive reserve. Assessing integration with more functional healthcare system and community resources. Evaluating the potential for unintended negative consequences from valuing the more easily measured instrumental features of the PCMH over the fundamental relationship and whole system aspects. Recognizing that since a fundamental benefit of primary care is its adaptability to diverse people, populations and systems, functional PCMHs will look different in different settings. Efforts to transform practice to patient-centered medical homes must recognize, assess and value the fundamental features of primary care that provide personalized, equitable health care and foster individual and population health.

Context for understanding the National Demonstration Project and the patient-centered medical home

This article introduces a journal supplement evaluating the country's first national demonstration of the patient-centered medical home (PCMH) concept. The PCMH is touted by some as a linchpin for renewing the foundering US health care system and its primary care foundation. The National Demonstration Project (NDP) tested a new model of care and compared facilitated and self-directed implementation approaches in a group-randomized clinical trial. The NDP asked what a national sample of 36 highly motivated family practices could accomplish in moving toward the PCMH ideal during 2 years within the current US health care payment and organizational system. Our independent evaluation used a multimethod approach that integrated qualitative methods to tell the NDP story from multiple perspectives and quantitative methods to assess and compare aspects that could be measured. The 7 scientific reports presented in this supplement explain the process, outcomes, lessons, and implications of the NDP. This introductory article provides context for making sense of the NDP. Important context includes the evolution of the PCMH concept and movement, the roots of the NDP and how it developed, and both what is valuable and what is problematic about family medicine and primary care. Together, the articles in this supplement show how primary care practices and the concept of the PCMH can continue to evolve. The evaluation depicts some of the early effects of this evolution on patients and practices, and shows how the process of practice development can be understood and how lessons from the NDP can inform ongoing and future efforts to transform primary care and health care systems.

Primary care practice development: a relationship-centered approach

PURPOSE

Numerous primary care practice development efforts, many related to the patient-centered medical home (PCMH), are emerging across the United States with few guides available to inform them. This article presents a relationship-centered practice development approach to understand practice and to aid in fostering practice development to advance key attributes of primary care that include access to first-contact care, comprehensive care, coordination of care, and a personal relationship over time.

METHODS

Informed by complexity theory and relational theories of organizational learning, we built on discoveries from the American Academy of Family Physicians' National Demonstration Project (NDP) and 15 years of research to understand and improve primary care practice.

RESULTS

Primary care practices can fruitfully be understood as complex adaptive systems consisting of a core (a practice's key resources, organizational structure, and functional processes), adaptive reserve (practice features that enhance resilience, such as relationships), and attentiveness to the local environment. The effectiveness of these attributes represents the practice's internal capability. With adequate motivation, healthy, thriving practices advance along a pathway of slow, continuous developmental change with occasional rapid periods of transformation as they evolve better fits with their environment. Practice development is enhanced through systematically using strategies that involve setting direction and boundaries, implementing sensing systems, focusing on creative tensions, and fostering learning conversations.

CONCLUSIONS

Successful practice development begins with changes that strengthen practices' core, build adaptive reserve, and expand attentiveness to the local environment. Development progresses toward transformation through enhancing primary care attributes.

Implementing the patient-centered medical home: observation and description of the national demonstration project

PURPOSE

We provide an overall description of the National Demonstration Project (NDP) intervention to transform family practices into patient-centered medical homes.

METHODS

An independent evaluation team used multiple data sources and methods to describe the design and implementation of the NDP. These included direct observation of the implementation team and project meetings, site visits to practices, depth interviews with practice members and implementation team members, access to practice communications (eg, telephone calls, e-mails), and public domain materials (eg, the NDP Web site).

RESULTS

The American Academy of Family Physicians created a new division called TransforMED, which launched the 24-month NDP in June 2006. From 337 family medicine practices completing an extensive online application, 36 were selected and randomized to a facilitated group, which received tailored, intensive assistance and services from TransforMED, or a self-directed group, which received very limited assistance. Three facilitators from diverse backgrounds in finance, practice management, and organizational psychology used multiple practice change strategies including site visits, e-mails, metrics, and learning sessions. The self-directed practices worked primarily on their own, but self-organized a retreat midway through the project. The intervention model for the project evolved to be consistent with the emerging national consensus principles of the patient-centered medical home. The independent evaluation team studied the NDP and provided ongoing feedback to inform the implementation process.

CONCLUSIONS

The NDP illustrates that complex practice change interventions must combine flexibility in the intervention model, implementation strategy, and the evaluation, in order to maximize ongoing learning.

Summary of the National Demonstration Project and recommendations for the patient-centered medical home

This article summarizes findings from the National Demonstration Project (NDP) and makes recommendations for policy makers and those implementing patient-centered medical homes (PCMHs) based on these findings and an understanding of diverse efforts to transform primary care. The NDP was launched in June 2006 as the first national test of a particular PCMH model in a diverse sample of 36 family practices, randomized to facilitated or self-directed groups. An independent evaluation team used a multimethod evaluation strategy, analyzing data from direct observation, depth interviews, e-mail streams, medical record audits, and patient and clinical staff surveys. Peer-reviewed manuscripts from the NDP provide answers to 4 key questions: (1) Can the NDP model be built? (2) What does it take to build the NDP model? (3) Does the NDP model make a difference in quality of care? and (4) Can the NDP model be widely disseminated? We find that although it is feasible to transform independent practices into the NDP conceptualization of a PCMH, this transformation requires tremendous effort and motivation, and benefits from external support. Most practices will need additional resources for this magnitude of transformation. Recommendations focus on the need for the PCMH model to continue to evolve, for delivery system reform, and for sufficient resources for implementing personal and practice development plans. In the meantime, we find that much can be done before larger health system reform.

Patient outcomes at 26 months in the patient-centered medical home National Demonstration Project

PURPOSE

The purpose of this study was to evaluate patient outcomes in the National Demonstration Project (NDP) of practices' transition to patient-centered medical homes (PCMHs).

METHODS

In 2006, a total of 36 family practices were randomized to facilitated or self-directed intervention groups. Progress toward the PCMH was measured by independent assessments of how many of 39 predominantly technological NDP model components the practices adopted. We evaluated 2 types of patient outcomes with repeated cross-sectional surveys and medical record audits at baseline, 9 months, and 26 months: patient-rated outcomes and condition-specific quality of care outcomes. Patient-rated outcomes included core primary care attributes, patient empowerment, general health status, and satisfaction with the service relationship. Condition-specific outcomes were measures of the quality of care from the Ambulatory Care Quality Alliance (ACQA) Starter Set and measures of delivery of clinical preventive services and chronic disease care.

RESULTS

Practices adopted substantial numbers of NDP components over 26 months. Facilitated practices adopted more new components on average than self-directed practices (10.7 components vs 7.7 components, P=.005). ACQA scores improved over time in both groups (by 8.3% in the facilitated group and by 9.1% in the self-directed group, P <.0001) as did chronic care scores (by 5.2% in the facilitated group and by 5.0% in the self-directed group, P=.002), with no significant differences between groups. There were no improvements in patient-rated outcomes. Adoption of PCMH components was associated with improved access (standardized beta [Sbeta]=0.32, P = .04) and better prevention scores (Sbeta=0.42, P=.001), ACQA scores (Sbeta=0.45, P = .007), and chronic care scores (Sbeta=0.25, P =.08).

CONCLUSIONS

After slightly more than 2 years, implementation of PCMH components, whether by facilitation or practice self-direction, was associated with small improvements in condition-specific quality of care but not patient experience. PCMH models that call for practice change without altering the broader delivery system may not achieve their intended results, at least in the short term.

Journey to the patient-centered medical home: a qualitative analysis of the experiences of practices in the National Demonstration Project

PURPOSE

We describe the experience of practices in transitioning toward patient-centered medical homes (PCMHs) in the National Demonstration Project (NDP).

METHODS

The NDP was launched in June 2006 as the first national test of a model of the PCMH in a diverse sample of 36 family practices, randomized to facilitated and self-directed intervention groups. An independent evaluation team used a multimethod evaluation strategy, analyzing data from direct observation, depth interviews, e-mail streams, medical records, and patient and practice surveys. The evaluation team reviewed data from all practices as they became available and produced interim summaries. Four 2- to 3-day evaluation team retreats were held during which case summaries of all practices were discussed and patterns were described.

RESULTS

The 6 themes that emerged from the data reflect major shifts in individual and practice roles and identities, as well as changes in practices' management strategies. The themes are (1) practice adaptive reserve is critical to managing change, (2) developmental pathways to success vary considerably by practice, (3) motivation of key practice members is critical, (4) the larger system can help or hinder, (5) practice transformation is more than a series of changes and requires shifts in roles and mental models, and (6) practice change is enabled by the multiple roles that facilitators play.

CONCLUSIONS

Transformation to a PCMH requires more than a sequence of discrete changes. The practice transformation process may be fostered by promoting adaptive reserve and local control of the developmental pathway.

Methods for evaluating practice change toward a patient-centered medical home

PURPOSE

Understanding the transformation of primary care practices to patient-centered medical homes (PCMHs) requires making sense of the change process, multilevel outcomes, and context. We describe the methods used to evaluate the country's first national demonstration project of the PCMH concept, with an emphasis on the quantitative measures and lessons for multimethod evaluation approaches.

METHODS

The National Demonstration Project (NDP) was a group-randomized clinical trial of facilitated and self-directed implementation strategies for the PCMH. An independent evaluation team developed an integrated package of quantitative and qualitative methods to evaluate the process and outcomes of the NDP for practices and patients. Data were collected by an ethnographic analyst and a research nurse who visited each practice, and from multiple data sources including a medical record audit, patient and staff surveys, direct observation, interviews, and text review. Analyses aimed to provide real-time feedback to the NDP implementation team and lessons that would be transferable to the larger practice, policy, education, and research communities.

RESULTS

Real-time analyses and feedback appeared to be helpful to the facilitators. Medical record audits provided data on process-of-care outcomes. Patient surveys contributed important information about patient-rated primary care attributes and patient-centered outcomes. Clinician and staff surveys provided important practice experience and organizational data. Ethnographic observations supplied insights about the process of practice development. Most practices were not able to provide detailed financial information.

CONCLUSIONS

A multimethod approach is challenging, but feasible and vital to understanding the process and outcome of a practice development process. Additional longitudinal follow-up of NDP practices and their patients is needed.

Effect of facilitation on practice outcomes in the National Demonstration Project model of the patient-centered medical home

PURPOSE

The objective of this study was to elucidate the effect of facilitation on practice outcomes in the 2-year patient-centered medical home (PCMH) National Demonstration Project (NDP) intervention, and to describe practices' experience in implementing different components of the NDP model of the PCMH.

METHODS

Thirty-six family practices were randomized to a facilitated intervention group or a self-directed intervention group. We measured 3 practice-level outcomes: (1) the proportion of 39 components of the NDP model that practices implemented, (2) the aggregate patient rating of the practices' PCMH attributes, and (3) the practices' ability to make and sustain change, which we term adaptive reserve. We used a repeated-measures analysis of variance to test the intervention effects.

RESULTS

By the end of the 2 years of the NDP, practices in both facilitated and self-directed groups had at least 70% of the NDP model components in place. Implementation was relatively harder if the model component affected multiple roles and processes, required coordination across work units, necessitated additional resources and expertise, or challenged the traditional model of primary care. Electronic visits, group visits, team-based care, wellness promotion, and proactive population management presented the greatest challenges. Controlling for baseline differences and practice size, facilitated practices had greater increases in adaptive reserve (group difference by time, P = .005) and the proportion of NDP model components implemented (group difference by time, P=.02); the latter increased from 42% to 72% in the facilitated group and from 54% to 70% in the self-directed group. Patient ratings of the practices' PCMH attributes did not differ between groups and, in fact, diminished in both of them.

CONCLUSIONS

Highly motivated practices can implement many components of the PCMH in 2 years, but apparently at a cost of diminishing the patient's experience of care. Intense facilitation increases the number of components implemented and improves practices' adaptive reserve. Longer follow-up is needed to assess the sustained and evolving effects of moving independent practices toward PCMHs.

A survivor's guide for primary care physicians

Building strong relationships among physicians and staff improves the practice's ability to deal with the uncertainties of a rapidly changing environment. Interacting proactively with the economic, social, political, and cultural environment-the practice landscape-provides opportunities for adaptation and ongoing learning.

Initial lessons from the first national demonstration project on practice transformation to a patient-centered medical home

The patient-centered medical home (PCMH) is emerging as a potential catalyst for multiple health care reform efforts. Demonstration projects are beginning in nearly every state, with a broad base of support from employers, insurers, state and federal agencies, and professional organizations. A sense of urgency to show the feasibility of the PCMH, along with a 3-tiered recognition process of the National Committee on Quality Assurance, are influencing the design and implementation of many demonstrations. In June 2006, the American Academy of Family Physicians launched the first National Demonstration Project (NDP) to test a model of the PCMH in a diverse national sample of 36 family practices. The authors make up an independent evaluation team for the NDP that used a multimethod evaluation strategy, including direct observation, in-depth interviews, chart audit, and patient and practice surveys. Early lessons from the real-time qualitative analysis of the NDP raise some serious concerns about the current direction of many of the proposed PCMH demonstration projects and point to some positive opportunities. We describe 6 early lessons from the NDP that address these concerns and then offer 4 recommendations for those assisting the transformation of primary care practices and 4 recommendations for individual practices attempting transformation.

The role of conversation in health care interventions: enabling sensemaking and learning

BACKGROUND

Those attempting to implement changes in health care settings often find that intervention efforts do not progress as expected. Unexpected outcomes are often attributed to variation and/or error in implementation processes. We argue that some unanticipated variation in intervention outcomes arises because unexpected conversations emerge during intervention attempts. The purpose of this paper is to discuss the role of conversation in shaping interventions and to explain why conversation is important in intervention efforts in health care organizations. We draw on literature from sociolinguistics and complex adaptive systems theory to create an interpretive framework and develop our theory. We use insights from a fourteen-year program of research, including both descriptive and intervention studies undertaken to understand and assist primary care practices in making sustainable changes. We enfold these literatures and these insights to articulate a common failure of overlooking the role of conversation in intervention success, and to develop a theoretical argument for the importance of paying attention to the role of conversation in health care interventions.

DISCUSSION

Conversation between organizational members plays an important role in the success of interventions aimed at improving health care delivery. Conversation can facilitate intervention success because interventions often rely on new sensemaking and learning, and these are accomplished through conversation. Conversely, conversation can block the success of an intervention by inhibiting sensemaking and learning. Furthermore, the existing relationship contexts of an organization can influence these conversational possibilities. We argue that the likelihood of intervention success will increase if the role of conversation is considered in the intervention process.

SUMMARY

The generation of productive conversation should be considered as one of the foundations of intervention efforts. We suggest that intervention facilitators consider the following actions as strategies for reducing the barriers that conversation can present and for using conversation to leverage improvement change: evaluate existing conversation and relationship systems, look for and leverage unexpected conversation, create time and space where conversation can unfold, use conversation to help people manage uncertainty, use conversation to help reorganize relationships, and build social interaction competence.

Clinician burden and depression treatment: disentangling patient- and clinician-level effects of medical comorbidity

BACKGROUND

Efforts to improve primary care depression treatment have assessed strategies across heterogeneous groups of patients, but few have examined clinician-level influences on depression treatment.

OBJECTIVE

To examine clinician characteristics that affect depression treatment in primary care settings, using multilevel ordinal regression modeling to disentangle patient- from clinician-level effects.

DESIGN

Secondary analysis from the Quality Improvement in Depression Study dataset.

PARTICIPANTS

The participants were 1,023 primary care patients with depression who reported on treatment in the 6-month follow-up and whose clinicians (n = 158) had at least 4 patients in the study.

MEASUREMENTS

Primary outcome variable was depression treatment intensity, derived from assessment of concordance with AHCPR depression treatment guidelines based on patient-reported data on their treatment. Primary independent variable was clinical practice burden for treating depression, derived from patient- and clinician-reported composite measures tested for significant association with clinician-reported practice burden.

RESULTS

Clinicians who treat patients with more chronic medical comorbidities perceive less burden from treating depressed patients in their practice (Spearman's rho = -.30, p < .05). Clinicians who treat patients with more chronic medical comorbidities also provide greater intensity of depression treatment (adjusted OR = 1.44, p = .02), even after adjusting for the effects of patient-level chronic medical comorbidities (adjusted OR = 0.95, p = .45).

CONCLUSIONS

Clinicians who provide more chronic care also provide greater depression treatment intensity, suggesting that clinicians who care for complex patients can integrate depression care into their practice. Targeting interventions to these clinicians to enhance their ability to provide guideline-concordant depression care is a worthwhile endeavor and deserves further investigation.

Care management for depression in primary care practice: findings from the RESPECT-Depression trial

PURPOSE

This qualitative study examined the barriers to adopting depression care management among 42 primary care clinicians in 30 practices.

METHODS

The RESPECT-Depression trial worked collaboratively with 5 large health care organizations (and 60 primary care practices) to implement and disseminate an evidence-based intervention. This study used semistructured interviews with 42 primary care clinicians from 30 practice sites, 18 care managers, and 7 mental health professionals to explore experience and perceptions with depression care management for patients. Subject selection in 4 waves of interviews was driven by themes emerging from ongoing data analysis.

RESULTS

Primary care clinicians reported broad appreciation of the benefits of depression care management for their patients. Lack of reimbursement and the competing demands of primary care were often cited as barriers. These clinicians at many levels of initial enthusiasm for care management increased their enthusiasm after experiencing care management through the project. Psychiatric oversight of the care manager with suggestions for the clinicians was widely seen as important and appropriate by clinicians, care managers, and psychiatrists. Clinicians and care managers emphasized the importance of establishing effective communication among themselves, as well as maintaining a consistent and continuous relationship with the patients. The clinicians were selective in which patients they referred for care management, and there was wide variation in opinion about which patients were optimal candidates. Care managers were able to operate both from within a practice and more centrally when specific attention was given to negotiating communication strategies with a clinician.

CONCLUSIONS

Care management for depression is an attractive option for most primary care clinicians. Lack of reimbursement remains the single greatest obstacle to more widespread adoption.

Specialty referral completion among primary care patients: results from the ASPN Referral Study

PURPOSE

This study describes referral completion from the perspectives of patients and primary care physicians and identifies predictors of adherence to the referral recommendation.

METHODS

We observed a cohort of 776 referred patients from the offices of 133 physicians in 81 practices and 30 states. Referring physicians and patients completed self-administered questionnaires at the time of the referral decision and 3 months later.

RESULTS

Physicians reported that 79.2% of patients referred had a specialist visit, and 83.0% of patients indicated they completed the referral. The most common reasons for not completing the referral were "lack of time" and patient belief that the "health problem had resolved." The kappa statistic for patient-physician agreement on referral completion was 0.34, indicating only fair concordance. Patients in Medicaid plans were less likely than others to complete the referral, and more likely to experience a health plan denial. A longer duration of the patient relationship with the primary care physician and physician/staff scheduling of the specialty appointment were both positive predictors of referral completion.

CONCLUSIONS

About 8 in 10 patients referred from primary care complete a specialty referral within 3 months. Findings from this study suggest that referral completion rates may be increased by assisting patients with scheduling their specialty appointments and promoting continuity of care.

Measuring organizational attributes of primary care practices: development of a new instrument

OBJECTIVE

To develop an instrument to measure organizational attributes relevant for family practices using the perspectives of clinicians, nurses, and staff.

DATA SOURCES/STUDY SETTING

Clinicians, nurses, and office staff (n=640) from 51 community family medicine practices.

DESIGN

A survey, designed to measure a practices' internal resources for change, for use in family medicine practices was created by a multidisciplinary panel of experts in primary care research and health care organizational performance. This survey was administered in a cross-sectional study to a sample of diverse practices participating in an intervention trial. A factor analysis identified groups of questions relating to latent constructs of practices' internal resources for capacity to change. ANOVA methods were used to confirm that the factors differentiated practices.

DATA COLLECTION

The survey was administered to all staff from 51 practices.

PRINCIPAL FINDINGS

The factor analysis resulted in four stable and internally consistent factors. Three of these factors, "communication,""decision-making," and "stress/chaos," describe resources for change in primary care practices. One factor, labeled "history of change," may be useful in assessing the success of interventions.

CONCLUSIONS

A 21-item questionnaire can reliably measure four important organizational attributes relevant to family practices. These attributes can be used both as outcome measures as well as important features for targeting system interventions.

Improving outcomes for high-risk diabetics using information systems

BACKGROUND

Diabetes care requires management of complex clinical information. We examine the relationship between diabetic outcomes and practices' use of information.

METHODS

We performed a cross-sectional, secondary analysis of baseline data from 50 community primary care practices participating in a practice improvement project. Medical record review assessed clinical targets for diabetes (HbA(1c) < or =8, LDL < or =100, BP < or =130/85). Practices' use of information was derived from clinician responses to a survey on their use of clinical information systems for patient identification and tracking. Hierarchical linear modeling examined relationships between patient outcomes and practice use of information, controlling for patient level covariates (age, gender, hypertension, and cardiovascular comorbidities) and practice level covariates (solo/group, and electronic health record [EHR] presence).

RESULTS

Practices' use of identification and tracking systems significantly (P < .007 and 0.002) increased odds of achieving diabetes care targets (odds ratio [OR] 1.23 95%, confidence interval [CI] 1.06 to 1.44, and OR 1.32 95% CI 1.11 to 1.59). For diabetic patients with hypertension, odds of hypertension control were higher with higher use of tracking systems (OR = 1.52, P = .0017) and reflected similar trend with higher use of identification systems (OR = 1.28, P = .1349). EHR presence was not associated with attainment of clinical targets.

CONCLUSIONS

Use of relatively simple systems to identify and track patient information can improve diabetic care outcomes. Practices making investments in an EHR must recognize that this technology alone is not sufficient for achieving desirable clinical outcomes. Researchers must explore the interrelationships of organizational factors necessary for successful information use.

Use of chronic care model elements is associated with higher-quality care for diabetes

PURPOSE

In 30 small, independent primary care practices, we examined the association between clinician-reported use of elements of the Chronic Care Model (CCM) and diabetic patients' hemoglobin A(1c) (HbA(1c)) and lipid levels and self-reported receipt of care.

METHODS

Ninety clinicians (60 physicians, 17 nurse-practitioners, and 13 physician's assistants) completed a questionnaire assessing their use of elements of the CCM on a 5-point scale (never, rarely, occasionally, usually, and always). A total of 886 diabetic patients reported their receipt of various diabetes care services. We computed a clinical care composite score that included patient-reported assessments of blood pressure, lipids, microalbumin, and HbA(1c); foot examinations; and dilated retinal examinations. We computed a behavioral care composite score from patient-reported support from their clinician in setting self-management goals, obtaining nutrition education or therapy, and receiving encouragement to self-monitor their glucose. HbA(1c) values and lipid profiles were obtained by independent laboratory assay. We used multilevel regression models for analyses to account for the hierarchical nature of the data.

RESULTS

Clinician-reported use of elements of CCM was significantly associated with lower HbA(1c) values (P = .002) and ratios of total cholesterol to high-density lipoprotein cholesterol (P = .02). For every unit increase in clinician-reported CCM use (eg, from "rarely" to "occasionally"), there was an associated 0.30% reduction in HbA(1c) value and 0.17 reduction in the lipid ratio. Clinician use of the CCM elements was also significantly associated with the behavioral composite score (P = .001) and was marginally associated with the clinical care composite score (P = .07).

CONCLUSIONS

Clinicians in small independent primary care practices are able to incorporate elements of the CCM into their practice style, often without major structural change in the practice, and this incorporation is associated with higher levels of recommended processes and better intermediate outcomes of diabetes care.

A Fidelity Measure for Integrated Management of Depression in Primary Care

BACKGROUND

Integrated models of primary care depression management improve outcomes. Subsequent dissemination efforts and their evaluation need a fidelity measure.

OBJECTIVES

We sought to develop and validate a fidelity measure using data gathered during routine clinical application of the clinical model.

METHODS

Longitudinal outcome data on depression severity were obtained from 224 subjects experiencing major depression or dysthymia and assigned to a 3-component model (3CM) intervention. Data on 10 essential 3CM process-of-care components were obtained from telephone logs maintained by care managers administering 3CM care. Stakeholders (n = 23), including researchers, health care administrators, and care managers, independently rated the importance of the 10 elements distributing 100 points among the elements. Mean ratings were used as weights to construct a fidelity score. Predictive validity was assessed using logistic regression for patient response and remission at 3 and 6 months.

RESULTS

3CM fidelity was high, with a mean of 74.1 at 3 months and 75.9 at 6 months. Given a large gap in the scores' distribution, subjects were classified into zero, low-, and high-fidelity groups. Logistic regressions adjusting for baseline depression found a distinct continuum. Patients that were provided high fidelity 3CM were significantly more likely to achieve treatment response and remission at 3 months. At 6 months, high-fidelity care was again significantly more likely to produce a response, but remission rate did not differ from patients provided low fidelity.

CONCLUSIONS

Most patients received a substantially implemented "3CM dose." Even within this high implementation, however, a higher fidelity score was associated with better outcomes. The easily applied measure is a promising tool for monitoring the quality of implementation of integrated care.

Implementing a depression improvement intervention in five health care organizations: experience from the RESPECT-Depression trial

A growing body of research provides strong evidence for the effectiveness of programs to improve the primary care of depression based on the chronic care model. At the same time these changes are difficult to sustain in their original research settings and more difficult to widely disseminate in primary care practice. The RESPECT-Depression trial tested an implementation and dissemination strategy by working through five community-based health care organizations (HCOs) to implement the Three Component Model (TCM) for improving depression care. This report describes the results of extensive interviews of project principals, health care program managers, depression care managers, and practicing primary care clinicians to understand the characteristics of organizations and the intervention components that were associated with implementation and dissemination of the TCM. In two of the organizations all 29 participating practices continued the TCM, while all 31 practices from the other three organizations did not. Successful continuation and dissemination appeared to be related to a broadly shared vision and commitment among all levels of the organization, clearly articulated by clinical leadership, for pursuing a systematic change strategy to improve chronic care that included, but extended beyond, depression, independent of clear evidence for cost-effectiveness of expanding depression management. Factors associated with inability to sustain the TCM included lack of a shared change strategy throughout the organization and inability to rationalize an economic model of depression care.

Primary care physician specialty referral decision making: patient, physician, and health care system determinants

PURPOSE

To examine the effects of patient, physician, and health care system characteristics on primary care physicians' (PCPs') specialty referral decision making.

METHODS

Physicians (n=142) and their practices (n=83) located in 30 states completed background questionnaires and collected survey data for all patient visits (n=34,069) made during 15 consecutive workdays. The authors modeled the occurrence of any specialty referral, which occurred during 5.2% of visits, as a function of patient, physician, and health care system structural characteristics. A subanalysis was done to examine determinants of referrals made for discretionary indications (17% of referrals), operationalized as problems commonly managed by PCPs, high level of diagnostic and therapeutic certainty, low urgency for specialist involvement, and cognitive assistance only requested from the specialist.

RESULTS

Patient characteristics had the largest effects in the any-referral model. Other variables associated with an increased risk of referral included PCPs with less tolerance of uncertainty, larger practice size, health plans with gate-keeping arrangements, and practices with high levels of managed care. The risk of a referral being made for discretionary reasons was increased by capitated primary care payment, internal medicine specialty of the PCP, high concentration of specialists in the community, and higher levels of managed care in the practice.

CONCLUSIONS

PCPs' referral decisions are influenced by a complex mix of patient, physician, and health care system structural characteristics. Factors associated with more discretionary referrals may lower PCPs' thresholds for referring problems that could have been managed in their entirety within primary care settings.

Are attributes of organizational performance in large health care organizations relevant in primary care practices?

Are organizational attributes associated with better health outcomes in large health care organizations applicable to primary care practices? In comparative case studies of two community family practices, it was found that attributes of organizational performance identified in larger health care organizations must be tailored to their unique context of primary care. Further work is required to adapt or establish the significance of the attributes of management infrastructure and information mastery.

Effects of a brief computer-assisted diabetes self-management intervention on dietary, biological and quality-of-life outcomes

OBJECTIVE

There is a need for practical, efficient and broad-reaching diabetes self-management interventions that can produce changes in lifestyle behaviours such as healthy eating and weight loss. The objective of this study was to evaluate such a computer-assisted intervention.

METHODS

Type 2 diabetes primary care patients (n=335) from fee-for-service and health maintenance organization settings were randomized to social cognitive theory-based tailored self-management (TSM) or computer-aided enhanced usual care (UC). Intervention consisted of computer-assisted self-management assessment and feedback, tailored goal-setting, barrier identification, and problem-solving, followed by health counsellor interaction and follow-up calls. Outcomes were changes in dietary behaviours (fat and fruit/vegetable intake), haemoglobin Alc (HbA1c), lipids, weight, quality of life, and depression.

RESULTS

TSM patients reduced dietary fat intake and weight significantly more than UC patients at the 2-month follow-up. Among patients having elevated levels of HbA1c, lipids or depression at baseline, there were consistent directional trends favouring intervention, but these differences did not reach significance. The intervention proved feasible and was implemented successfully by a variety of staff.

CONCLUSIONS

This relatively low-intensity intervention appealed to a large, generally representative sample of patients, was well implemented, and produced improvement in targeted behaviours. Implications of this practical clinical trial for dissemination are discussed.

Robustness of a computer-assisted diabetes self-management intervention across patient characteristics, healthcare settings, and intervention staff

BACKGROUND

A major problem in the dissemination of most interventions found to be efficacious is that they are of limited or unknown generalizability.

OBJECTIVE

To document the "robustness," or external validity, of a computer-assisted diabetes self-management program across different patient characteristics, healthcare settings (mixed payer vs health maintenance organization), intervention staff, and outcomes.

STUDY DESIGN

A randomized controlled trial evaluating a computer-assisted behavior change program for adult patients with type 2 diabetes mellitus (n = 217) vs a computerized health risk assessment.

METHODS

Outcomes were identified using the RE-AIM framework and included program adoption among physicians, reach across patient groups, implementation, and behavioral (fat intake and physical activity) and biological (glycosylated hemoglobin and lipid levels) effectiveness measures.

RESULTS

The program achieved 41% patient participation, variable adoption across healthcare settings (76% of health maintenance organization physicians vs 18% of non-health maintenance organization physicians participated), good implementation, and improvement in behavioral outcomes. There were few significant interactions between treatment condition and patient characteristics, type of healthcare setting, or interventionist experience on effectiveness measures.

CONCLUSIONS

Patients and physicians were willing to participate in a computer-assisted dietary and physical activity goal-setting intervention, although participation varied by healthcare setting. Interventionists from different backgrounds successfully delivered the intervention, and the results appear robust across various patient and delivery characteristics.

Linking nursing home working conditions to organizational performance

Exploring selected working conditions and performance in nursing homes suggests that high and low performers can be determined based on both quantitative and qualitative findings.

Management of type 2 diabetes in the primary care setting: a practice-based research network study

PURPOSE

We wanted to describe how primary care clinicians care for patients with type 2 diabetes.

METHODS

We undertook a cross-sectional study of 95 primary care clinicians and 822 of their established patients with type 2 diabetes from 4 practice-based, primary care research networks in the United States. Clinicians were surveyed about their training and practice. Patients completed a self-administered questionnaire about their care, and medical records were reviewed for complications, treatment, and diabetes-control indicators.

RESULTS

Participating clinicians (average age, 45.7 years) saw an average of 32.6 adult patients with diabetes per month. Patients (average age, 59.7 years) reported a mean duration of diabetes of 9.1 years, with 34.3% having had the disease more than 10 years. Nearly one half (47.5%) of the patients had at least 1 diabetes-related complication, and 60.8% reported a body mass index greater than 30. Mean glycosylated hemoglobin (HbA1c) level was 7.6% (SD 1.73), and 40.5% of patients had values <7%. Only 35.3% of patients had adequate blood pressure control (<130/85 mm Hg), and only 43.7% had low-density lipoprotein cholesterol (LDL-C) levels <100 mg/dL. Only 7.0% of patients met all 3 control targets. Multilevel models showed that patient ethnicity, practice type, involvement of midlevel clinicians, and treatment were associated with HbA1c level; patient age, education level, and practice type were associated with blood pressure control; and patient ethnicity was associated with LDL-C control.

CONCLUSIONS

Only modest numbers of patients achieve established targets of diabetes control. Reengineering primary care practice may be necessary to substantially improve care.

How complexity science can inform a reflective process for improvement in primary care practices

BACKGROUND

Quality improvement processes have sometimes met with limited success in small, independent primary care settings. The theoretical framework for these processes uses an implied understanding of organizations as predictable with potentially controllable components. However, most organizations are not accurately described using this framework. Complexity science provides a better fit for understanding small primary care practices.

METHODS

The Multimethod Assessment Process (MAP)/Reflective Adaptive Process (RAP) is informed by complexity science. This process was developed in a series of studies designed to understand and improve primary care practice. A case example illustrates the application and impact of the MAP/RAP process.

RESULTS

Guiding principles for a reflective change process include the following: an understanding of practices' vision and mission is useful in guiding change, learning and reflection helps organizations adapt to and plan change, tension and discomfort are essential and normal during change, and diverse perspectives foster adaptability and new insights for positive change.

DISCUSSION

A reflective change process that treats organizations as complex adaptive systems may help practices make sustainable improvements.

Improving detection of suicidal ideation among depressed patients in primary care

PURPOSE

Primary care clinicians have difficulty detecting suicidal patients. This report evaluates the effect of 2 primary care interventions on the detection and subsequent referral or treatment of patients with depression and recent suicidal ideation.

METHODS

Adult patients in 12 mixed-payer primary care practices and 9 not-for-profit staff model health maintenance organization (HMO) practices were screened for depression. Matched practices were randomized within plan type to intervention or usual care. The intervention for mixed-payer practices entailed brief training of physicians and office nurses to provide care management. The intervention for HMO practices consisted of guided development of quality improvement teams for depression care. A total of 880 enrolled patients met study criteria for depression, 232 of whom met criteria for recent suicidal ideation. Intervention effects on suicide detection and referral to mental health specialty care were evaluated with mixed-effects multilevel models in intent-to-treat analyses.

RESULTS

Depressed patients with recent suicidal ideation were detected on 40.7% of index visits in intervention practices, compared with 20.5% in usual care practices (odds ratio = 2.64, 95% confidence interval, 1.45-5.07), with HMO plan type and male sex associated with detection. The interventions had no effect on referral of patients, starting an antidepressant, or suicidal ideation reported at a 6-month follow-up, although power was limited for all 3 analyses.

CONCLUSIONS

Primary care interventions to improve depression care can improve detection of recent suicidal ideation. Further work is needed to improve physician response to detection, including referral to specialty care and more aggressive treatment, and to observe the effect on outcomes.

Suicidal ideation and risk levels among primary care patients with uncomplicated depression

PURPOSE

We investigated the prevalence, severity, and course of passive and active suicidal ideation occurring in primary care patients with an uncomplicated depressive disorder.

METHODS

We studied suicidal ideation experienced by patients recruited in 60 primary care practices participating in a randomized controlled trial of depression management. Risk levels associated with suicidal ideation and plans were determined by a 2-stage procedure using pertinent items of the Patient Health Questionnaire-9, the Hopkins Symptom Checklist-20, and the Cornell structured assessment interview and management algorithm.

RESULTS

Of the 761 patients whom physicians judged in need of treatment for a clinical depression, 405 (53%) were experiencing uncomplicated dysthymia, major depression, or both. Among these depressed patients, about 90% had no risk or a low risk of self-harm based on the presence and nature of suicidal ideation; the rest had an intermediate risk. Almost all patients who were initially classified at the no or low risk levels remained at these levels during the subsequent 6 months. The incidence of suicidal ideation at a risk level requiring the physician's immediate attention in this no- or low-risk subgroup was 1.1% at 3 months and 2.6% at 6 months.

CONCLUSIONS

Almost all patients with uncomplicated dysthymia, major depression, or both acknowledging suicidal ideation of the minimal risk type when initially assessed maintained this minimal risk status during the subsequent 6 months.

The frequency and behavioral outcomes of goal choices in the self-management of diabetes

PURPOSE

The purpose of this study was to determine the frequency and effectiveness of behavioral goal choices in the self-management of diabetes and to test goal-setting theory hypotheses that self-selection and behavioral specificity of goals are key to enhancing persistence.

METHODS

Participants with type 2 diabetes in a randomized controlled trial (n = 422) completed baseline behavioral assessments using a clinic-based, interactive, self-management CD-ROM that allowed them to select a behavioral goal and receive mail and telephone support for the initial 6 months of the trial followed by additional behavioral assessments. Frequency of behavioral goal selection and 6-month behavioral data were collected.

RESULTS

Approximately 49%, 27%, and 24% of the participants, respectively, set goals to increase physical activity (PA), reduce fat intake, or increase fruits and vegetables (F&V) consumed. At baseline, participants who selected PA, reduced fat consumption, or F&V were significantly, and respectively, less active, consumed more dietary fat, and ate fewer F&V regardless of demographic characteristics. Participants who selected a reduced-fat goal showed a significantly larger decrease than did those that selected PA or F&V goals. Participants who selected an F&V goal showed significant changes in F&V consumption. Participants who selected a PA goal demonstrated significant changes in days of moderate and vigorous physical activity.

CONCLUSIONS

When participants are provided with information on health behavior status and an option of behavioral goals for managing type 2 diabetes, they will select personally appropriate goals, resulting in significant behavioral changes over a 6-month period.

RCT of a care manager intervention for major depression in primary care: 2-year costs for patients with physical vs psychological complaints

PURPOSE

Depression care management for primary care patients results in sustained improvement in clinical outcomes with diminishing costs over time. Clinical benefits, however, are concentrated primarily in patients who report to their primary care clinicians psychological rather than exclusively physical symptoms. This study proposes to determine whether the intervention affects outpatient costs differentially when comparing patients who have psychological with patients who have physical complaints.

METHODS

We undertook a group-randomized controlled trial (RCT) of depression comparing intervention with usual care in 12 primary care practices. Intervention practices encouraged depressed patients to engage in active treatment, using nurses to provide regularly scheduled care management for 24 months. The study sample included 200 adults beginning a new depression treatment episode where patient presentation style could be identified. Outpatient costs were defined as intervention plus outpatient treatment costs for the 2 years. Cost-offset analysis used general linear mixed models, 2-part models, and bootstrapping to test hypotheses regarding a differential intervention effect by patients' style, and to obtain 95% confidence intervals for costs.

RESULTS

Intervention effects on outpatient costs over time differed by patient style (P <.05), resulting in a $980 cost decrease for depressed patients who complain of psychological symptoms and a 1,378 dollars cost increase for depressed patients who complain of physical symptoms only.

CONCLUSIONS

Depression intervention for a 2-year period produced observable clinical benefit with decreased outpatient costs for depressed patients who complain of psychological symptoms. It produced limited clinical benefit with increased costs, however, for depressed patients who complain exclusively of physical symptoms, suggesting the need for developing new intervention approaches for this group.

Randomized effectiveness trial of a computer-assisted intervention to improve diabetes care

OBJECTIVE

There is a well-documented gap between diabetes care guidelines and the services received by patients in most health care settings. This report presents 12-month follow-up results from a computer-assisted, patient-centered intervention to improve the level of recommended services patients received from a variety of primary care settings.

RESEARCH DESIGN AND METHODS

A total of 886 patients with type 2 diabetes under the care of 52 primary care physicians participated in the Diabetes Priority Program. Physicians were stratified and randomized to intervention or control conditions and evaluated on two primary outcomes: number of recommended laboratory screenings and recommended patient-centered care activities completed from the National Committee on Quality Assurance/American Diabetes Association Provider Recognition Program (PRP). Secondary outcomes were evaluated using the Problem Areas in Diabetes 2 quality of life scale, lipid and HbA1c levels, and the Patient Health Questionnaire-9 depression scale.

RESULTS

The program was well implemented and significantly improved both the number of laboratory assays and patient-centered aspects of diabetes care patients received compared with those in the control condition. There was overall improvement on secondary outcomes of lipids, HbA1c, quality of life, and depression scores; between-condition differences were not significant.

CONCLUSIONS

Staff in small, mixed-payer primary care offices can consistently implement a patient-centered intervention to improve PRP measures of quality of diabetes care. Alternative explanations for why these process improvements did not lead to improved outcomes, and suggested directions for future research are discussed.

A practical randomized trial to improve diabetes care

OBJECTIVE

There is a well-documented gap between diabetes care guidelines and the services received by patients in almost all health care settings. This project reports initial results from a computer-assisted, patient-centered intervention to improve the level of recommended services received by patients from a wide variety of primary care providers.

DESIGN AND SETTINGS

Eight hundred eighty-six patients with type 2 diabetes under the care of 52 primary care physicians participated in the Diabetes Priority Program. Physicians were stratified and randomized to intervention or control conditions and evaluated on 2 primary outcomes: number of recommended laboratory screenings and recommended patient-centered care activities completed. Secondary outcomes were evaluated using the Problem Areas in Diabetes scale and the Patient Health Questionnaire (PHQ)-9 depression scale, and the RE-AIM framework was used to evaluate potential for dissemination.

RESULTS

The program was well-implemented and significantly improved both number of recommended laboratory assays (3.4 vs 3.1; P <.001) and patient-centered aspects of diabetes care patients received (3.6 vs 3.2; P <.001) compared to those in randomized control practices. Activities that were increased most were foot exams (follow-up rates of 80% vs 52%; P <.003) and nutrition counseling (76% vs 52%; P <.001).

CONCLUSIONS

Patients are very willing to participate in a brief computer-assisted intervention that is effective in enhancing quality of diabetes care. Staff in primary care offices can consistently deliver an intervention of this nature, but most physicians were unwilling to participate in this translation research study.

Re-engineering systems for the treatment of depression in primary care: cluster randomised controlled trial

OBJECTIVE

To test the effectiveness of an evidence based model for management of depression in primary care with support from quality improvement resources.

DESIGN

Cluster randomised controlled trial.

SETTING

Five healthcare organisations in the United States and 60 affiliated practices.

PATIENTS

405 patients, aged > or = 18 years, starting or changing treatment for depression.

INTERVENTION

Care provided by clinicians, with staff providing telephone support under supervision from a psychiatrist.

MAIN OUTCOME MEASURES

Severity of depression at three and six months (Hopkins symptom checklist-20): response to treatment (> or = 50% decrease in scores) and remission (score of < 0.5).

RESULTS

At six months, 60% (106 of 177) of patients in intervention practices had responded to treatment compared with 47% (68 of 146) of patients in usual care practices (P = 0.02). At six months, 37% of intervention patients showed remission compared with 27% for usual care patients (P = 0.014). 90% of intervention patients rated their depression care as good or excellent at six months compared with 75% of usual care patients (P = 0.0003).

CONCLUSION

Resources such as quality improvement programmes can be used effectively in primary care to implement evidence based management of depression and improve outcomes for patients with depression.