When there is too much to do: how practicing physicians prioritize among recommended interventions

Real-World Treatment Patterns Among Patients with Type 2 Diabetes Mellitus Initiating Treatment with Oral Semaglutide

INTRODUCTION

The treatment landscape for type 2 diabetes mellitus (T2DM) is complex and constantly evolving, and real-world evidence of prescribing patterns is limited. The objectives of this study were to characterize lines of therapy (LOTs), calculate the length of time spent on each LOT, and identify the reasons for the LOT end among patients who initiated oral semaglutide for T2DM.

METHODS

This retrospective, claims-based study included commercial and Medicare Advantage adults with T2DM. Data from November 1, 2019, and June 30, 2020, were obtained from Optum Research Database. Patients with ≥ 1 claim for oral semaglutide and continuous health plan enrollment for ≥ 12 months prior to (baseline period) and ≥ 6 months following (follow-up period) the date of the first oral semaglutide claim were included. LOT 1 began on the date of the first oral semaglutide claim. The start date of any subsequent LOTs was the date of the first claim for an additional non-insulin anti-diabetic drug class or a reduction in drug class with use of commitment medications. The LOT ended at the first instance of medication class discontinuation, change in regimen or end of follow-up.

RESULTS

Of the 1937 patients who initiated oral semaglutide, 950 (49.0%) remained on their initial regimen over the 6-month follow-up period, 844 (43.6%) had at least one subsequent LOT, and 89 (4.6%) had at least two subsequent LOTs. Among patients with more than one LOT, approximately 20%-25% used oral semaglutide as monotherapy or combination therapy during LOTs 2 and 3. Metformin was frequently used during treatment across all LOTs.

CONCLUSION

This study provides insight for physicians and payers into the real-world prescribing practices within the first 6 months following oral semaglutide initiation and fills the gap in understanding the frequency of regimen changes in the constantly evolving and complex environment of T2DM care.

Multimorbidity and statin prescription for primary prevention of cardiovascular diseases: A cross-sectional study in general practice in France

Background

Statins are a first line, evidence-based yet underprescribed treatment for cardiovascular primary prevention. In primary care settings, multimorbidity is a complex situation which makes it difficult to apply prevention guidelines.

Aim

To assess the associations between multimorbidity and prescription of statins in accordance with the 2016 ESC recommendations ("appropriate prescription"), and to identify the factors and conditions associated with these prescriptions.

Design and setting

Cross-sectional prospective study in the French region of Rhône-Alpes among 40 general practitioners and their patients.

Methods

We examined the association between appropriate statin prescription and several patient characteristics, including multimorbidity, using multivariate logistic regression models.

Results

Between August 2017 and February 2019, 327 patients were included in the study. Seventy-four (22.6%) were on statin medication and 199 (60.9%) exhibited multimorbidity, defined as ≥2 diseases. Only 22.5% of eligible patients were prescribed statins for primary prevention. Diabetes was most strongly associated with appropriate statin prescription (aOR 8.10, CI 95: 3.81-17.80). Multimorbidity was not associated with appropriate statin prescription (aOR 1.31, CI 95: 0.54-3.26), except in the presence of diabetes which defined diabetic multimorbidity (aOR 10.46, CI 95: 4.87-23.35). Conversely, non-diabetic multimorbidity was associated with lower odds of being appropriately prescribed a statin (aOR 0.26, CI 95: 0.12-0.56).

Conclusion

Multimorbidity, in itself, does not seem to be a determinant factor for appropriate statin prescription. The latter appears to be determined by a patient's type of multimorbidity, especially the presence or not of diabetes. Differentiating between diabetic and non-diabetic multimorbidity may be a pragmatic way for GPs to improve primary prevention in a patient-centered and shared decision-making approach.

Web-Based TangPlan and WeChat Combination to Support Self-management for Patients With Type 2 Diabetes: Randomized Controlled Trial

Background

China has the largest number of patients with type 2 diabetes mellitus (T2DM) in the world. However, owing to insufficient knowledge of self-management in patients with diabetes, blood glucose (BG) control is poor. Most diabetes-related self-management applications fail to bring significant benefits to patients with T2DM because of the low use rate and difficult operation.

Objective

This study aims to examine the effectiveness of the combination of the self-designed web-based T2DM management software TangPlan and WeChat on fasting BG (FBG), glycated hemoglobin (HbA_1c), body weight, blood pressure (BP), and lipid profiles in patients with T2DM over a 6-month period.

Methods

Participants were recruited and randomized into the TangPlan and WeChat or control groups. Participants in the control group received usual care, whereas the TangPlan and WeChat participants received self-management guidance with the help of TangPlan and WeChat from health care professionals, including BG self-monitoring; healthy eating; active physical exercise; increasing medication compliance; and health education during follow-ups, lectures, or web-based communication. They were also asked to record and send self-management data to the health care professionals via WeChat to obtain timely and effective guidance on diabetes self-management.

Results

In this study, 76.9% (120/156) of participants completed the 6-month follow-up visit. After the intervention, FBG (mean 6.51, SD 1.66 mmol/L; P=.048), HbA_1c (mean 6.87%, SD 1.11%; P<.001), body weight (mean 66.50, SD 9.51 kg; P=.006), systolic BP (mean 127.03, SD 8.00 mm Hg; P=.005), diastolic BP (mean 75.25, SD 5.88 mm Hg; P=.03), serum low-density lipoprotein cholesterol (mean 2.50, SD 0.61 mmol/L; P=.006), and total cholesterol (mean 4.01, SD 0.83 mmol/L; P=.02) in the TangPlan and WeChat group were all significantly lower, whereas serum high-density lipoprotein cholesterol (mean 1.20, SD 0.25 mmol/L; P=.01) was remarkably higher than in those in the control group. Compared with the baseline data, significance was found in the mean change in FBG (95% CI −0.83 to −0.20; P=.002), HbA_1c (95% CI −1.92 to −1.28; P<.001), body weight (95% CI −3.13 to −1.68; P<.001), BMI (95% CI −1.10 to −0.60; P<.001), systolic BP (95% CI −7.37 to −3.94; P<.001), diastolic BP (95% CI −4.52 to −2.33; P<.001), triglycerides (95% CI −0.16 to −0.03; P=.004), serum low-density lipoprotein cholesterol (95% CI −0.54 to −0.30; P<.001), and total cholesterol (95% CI −0.60 to −0.34; P<.001) in the TangPlan and WeChat group but not in the control group (P=.08-.88).

Conclusions

Compared with usual care for patients with T2DM, the combination of TangPlan and WeChat was effective in improving glycemic control (decrease in HbA_1c and BG levels) and serum lipid profiles as well as reducing body weight in patients with T2DM after 6 months.

Trial Registration

Chinese Clinical Trial Registry ChiCTR2000028843; https://tinyurl.com/559kuve6

Facilitating barriers: Contextual factors and self-management of type 2 diabetes in urban settings

Urban environments create unique challenges for the management of type 2 diabetes (T2D). City living is associated with unhealthy occupational, nutritional, and physical activity patterns. However, it has also been linked to behaviours that promote health, such as walking and cycling for transportation. Our research is situated at the intersection of these contradictory findings. We ask: What aspects of urban living impact the ability of those living with diabetes to reach optimal health? What contextual and structural factors influence how barriers are experienced in the everyday lives of those living with T2D? We conducted semi-structured interviews with 29 individuals living in Toronto and Vancouver. Interviews were recorded, transcribed, and systematically coded for themes and sub-themes. In addition to affirming readily acknowledged barriers to diabetes management, such as accessing healthy, culturally appropriate food and the cost of management, our findings suggest that the unpredictable nature of urban living creates barriers to routinizing self-management practices. As large, cosmopolitan centres with an abundance of activities on offer, cities pulls people away from home, making adherence to self-management recommendations more difficult. Moreover, our findings challenge commonly held assumptions about the mutually exclusive and static nature of barriers and facilitators. Public transit, a readily acknowledged facilitator of healthy living, can be experienced as a barrier to diabetes management. Participants report intentional non-adherence to their medication regimens for fear of hypoglycemia in subway or traffic delays. While the stimulating nature of cities promotes walkability, it produces barriers as well: participants partake in more restaurant eating than they would if they lived in a rural area and were home to cook their own meals. Understanding how barriers are experienced by people living with diabetes will help mitigate some of the unintended consequences associated with various contextual factors. We recommend that healthcare professionals acknowledge and support people with T2D in routinizing self-management and developing contingency plans for the unpredictability and complexity that urban living entails. We suggest further research be carried out to develop contextually-tailored municipal policies and interventions that will support self-management and improve outcomes for individuals living with T2D in urban settings.

Patients with more comorbidities have better detection of chronic conditions, but poorer management and control: findings from six middle-income countries

BACKGROUND

The burden of non-communicable diseases (NCDs) is rising rapidly in middle-income countries (MICs), where NCDs are often undiagnosed, untreated and uncontrolled. How comorbidity impacts diagnosis, treatment, and control of NCDs is an emerging area of research inquiry and have important clinical implications as highlighted in the recent National Institute for Health and Care Excellence guidelines for treating patients suffering from multiple NCDs. This is the first study to examine the association between increasing numbers of comorbidities with being undiagnosed, untreated, and uncontrolled for NCDs, in 6 large MICs.

METHODS

Cross-sectional analysis of the World Health Organisation Study of Global Ageing and Adult Health (WHO SAGE) Wave 1 (2007-10), which consisted of adults aged ≥18 years from 6 populous MICs, including China, Ghana, India, Mexico, Russia and South Africa (overall n = 41, 557).

RESULTS

A higher number of comorbidities was associated with better odds of diagnosis for hypertension, angina, and arthritis, and higher odds of having treatment for hypertension and angina. However, more comorbidities were associated with increased odds of uncontrolled hypertension, angina, arthritis, and asthma. Comorbidity with concordant conditions was associated with improved diagnosis and treatment of hypertension and angina.

CONCLUSION

Patients with more comorbidities have better diagnosis of chronic conditions, but this does not translate into better management and control of these conditions. Patients with multiple NCDs are high users of health services and are at an increased risk of adverse health outcomes. Hence, improving their access to care is a priority for healthcare systems.

Time and feasibility of prevention in primary care

BACKGROUND

Prevention is an essential task in primary care. According to primary care physicians (PCPs),lack of time is one of the principal obstacles to its performance.

OBJECTIVE

To assess the feasibility of prevention in terms of time by estimating the time necessary to perform all of the preventive care recommended, separately from the PCPs and patient's perspectives, and to compare them to the amount of time available.

METHODS

A review of the literature identified the prevention procedures recommended in France, the duration of each procedure and its recommended frequency, as well as PCPs' consultation time. A hypothetical patient panel size of 1000 patients, representative of the French population, served as the basis for our calculations of the annual time necessary for prevention for a PCP. The prevention time from the patient's perspective was estimated from data collected from a previous study of a panel of 3556 patients.

RESULTS

For PCPs, the annual time necessary for all of the required preventive care was 250 hours, or 20% of their total patient time. For a patient, the annual time required for prevention during encounters with a PCP ranged from 9.7 to 26.4 minutes per year. The mean total encounter time was 75.9 minutes per year. Nearly 73% of patients had a prevention-to-care time ratio exceeding 15%.

CONCLUSION

Feasibility thus differs substantially between patients. These differences correspond especially to disparities in the annual care time used by each patient. Specific solutions should be developed according to the patients' utilization of care.

Influence of a Pay-for-Performance Program on Glycemic Control in Patients Living with Diabetes by Family Physicians in a Canadian Province

OBJECTIVES

We evaluated the influence of the introduction of a pay-for-performance program implemented in 2010 for family physicians on the glycemic control of patients with diabetes.

METHODS

Administrative data for all 583 eligible family physicians and 83,580 adult patients with diabetes in New Brunswick over 10 years were used. We compared the probability of receiving at least 2 tests for glycated hemoglobin (A1C) levels and achieving glycemic control before (2005-2009) and after (2010-2014) the implementation of the program and between patients divided based on whether a physician claimed the incentive or did not.

RESULTS

Patients living with diabetes showed greater odds of receiving at least 2 A1C tests per year if the detection of their diabetes occurred after (vs. before) the implementation of the program (OR, 99% CI=1.23, 1.18 to 1.28), if a physician claimed the incentive (vs. not claiming it) for their care (1.92, 1.87 to 1.96) in the given year, and if they were followed by a physician who ever (vs. never) claimed the incentive (1.24, 1.15 to 1.34). In a cohort-based analysis, patients for whom an incentive was claimed (vs. not claimed) had greater odds of receiving at least 2 A1C tests per year before implementation of the incentive, and these odds increased by 56% (1.49 to 1.62) following its implementation. However, there was no difference in A1C values among the various comparison groups.

CONCLUSIONS

Introduction of the incentive was associated with greater odds of having a minimum of 2 A1C tests per year, which may suggest that it led physicians to provide better follow-up care for patients with diabetes. However, the incentive program has not been associated with differences in glycemic control.

Pre-Visit Prioritization for complex patients with diabetes: Randomized trial design and implementation within an integrated health care system

BACKGROUND/AIMS

Despite robust evidence to guide clinical care, most patients with diabetes do not meet all goals of risk factor control. Improved patient-provider communication during time-limited primary care visits may represent one strategy for improving diabetes care.

METHODS

We designed a controlled, cluster-randomized, multi-site intervention (Pre-Visit Prioritization for Complex Patients with Diabetes) that enables patients with poorly controlled type 2 diabetes to identify their top priorities prior to a scheduled visit and sends these priorities to the primary care physician progress note in the electronic medical record. In this paper, we describe strategies to address challenges to implementing our health IT-based intervention study within a large health care system.

RESULTS

This study is being conducted in 30 primary care practices within a large integrated care delivery system in Northern California. Over a 12-week period (3/1/2015-6/6/2015), 146 primary care physicians consented to enroll in the study (90.1%) and approved contact with 2496 of their patients (97.6%). Implementation challenges included: (1) navigating research vs. quality improvement requirements; (2) addressing informed consent considerations; and (3) introducing a new clinical tool into a highly time-constrained workflow. Strategies for successfully initiating this study included engagement with institutional leaders, Institutional Review Board members, and clinical stakeholders at multiple stages both before and after notice of Federal funding; flexibility by the research team in study design; and strong support from institutional leadership for "self-learning health system" research.

CONCLUSIONS

By paying careful attention to identifying and collaborating with a wide range of key clinical stakeholders, we have shown that researchers embedded within a learning care system can successfully apply rigorous clinical trial methods to test new care innovations.

Designing and evaluating an interprofessional shared decision-making and goal-setting decision aid for patients with diabetes in clinical care--systematic decision aid development and study protocol

BACKGROUND

Care of patients with diabetes often occurs in the context of other chronic illness. Competing disease priorities and competing patient-physician priorities present challenges in the provision of care for the complex patient. Guideline implementation interventions to date do not acknowledge these intricacies of clinical practice. As a result, patients and providers are left overwhelmed and paralyzed by the sheer volume of recommendations and tasks. An individualized approach to the patient with diabetes and multiple comorbid conditions using shared decision-making (SDM) and goal setting has been advocated as a patient-centred approach that may facilitate prioritization of treatment options. Furthermore, incorporating interprofessional integration into practice may overcome barriers to implementation. However, these strategies have not been taken up extensively in clinical practice.

OBJECTIVES

To systematically develop and test an interprofessional SDM and goal-setting toolkit for patients with diabetes and other chronic diseases, following the Knowledge to Action framework.

METHODS

1. Feasibility study: Individual interviews with primary care physicians, nurses, dietitians, pharmacists, and patients with diabetes will be conducted, exploring their experiences with shared decision-making and priority-setting, including facilitators and barriers, the relevance of a decision aid and toolkit for priority-setting, and how best to integrate it into practice.2. Toolkit development: Based on this data, an evidence-based multi-component SDM toolkit will be developed. The toolkit will be reviewed by content experts (primary care, endocrinology, geriatricians, nurses, dietitians, pharmacists, patients) for accuracy and comprehensiveness.3. Heuristic evaluation: A human factors engineer will review the toolkit and identify, list and categorize usability issues by severity.4. Usability testing: This will be done using cognitive task analysis.5. Iterative refinement: Throughout the development process, the toolkit will be refined through several iterative cycles of feedback and redesign.

DISCUSSION

Interprofessional shared decision-making regarding priority-setting with the use of a decision aid toolkit may help prioritize care of individuals with multiple comorbid conditions. Adhering to principles of user-centered design, we will develop and refine a toolkit to assess the feasibility of this approach.

Establishing visit priorities for complex patients: A summary of the literature and conceptual model to guide innovative interventions

With the aging of the population and continuing advances in health care, patients seen in the primary care setting are increasingly complex. At the same time, the number of screening and chronic condition management tasks primary care providers are expected to cover during brief primary care office visits has continued to grow. These converging trends mean that there is often not enough time during each visit to address all of the patient's concerns and needs, a significant barrier to effectively providing patient-centered care. For complex patients, prioritization of which issues to address during a given visit must precede discrete decisions about disease-specific treatment preferences and goals. Negotiating this process of setting priorities represents a major challenge for patient-centered primary care, as patient and provider priorities may not always be aligned. In this review, we present a synthesis of recent research on how patients and providers negotiate the visit process and describe a conceptual model to guide innovative approaches to more effective primary care visits for complex patients based on defining visit priorities. The goal of this model is to inform interventions that maximize the value of available time during the primary care encounter by facilitating communication between a prepared patient who has had time before the visit to identify his/her priorities and an informed provider who is aware of the patient's care priorities at the beginning of the visit. We conclude with a discussion of key questions that should guide future research and intervention development in this area.

Missed opportunities for providing low-fat dietary advice to people with diabetes

Introduction

Because cardiovascular disease is closely linked to diabetes, national guidelines recommend low-fat dietary advice for patients who have cardiovascular disease or are at risk for diabetes. The prevalence of receiving such advice is not known. We assessed the lifetime prevalence rates of receiving low-fat dietary advice from a health professional and the relationship between having diabetes or risk factors for diabetes and receiving low-fat dietary advice.

Methods

From 2002 through 2009, 188,006 adults answered the following question in the Medical Expenditure Panel Survey: “Has a doctor or other health professional ever advised you to eat fewer high-fat or high-cholesterol foods?” We assessed the association between receiving advice and the following predictors: a diabetes diagnosis, 7 single risk factors for type 2 diabetes, and total number of risk factors.

Results

Among respondents without diabetes or risk factors for diabetes, 7.4% received low-fat dietary advice; 70.6% of respondents with diabetes received advice. Respondents with diabetes were almost twice as likely to receive advice as respondents without diabetes or its risk factors. As the number of risk factors increased, the likelihood of receiving low-fat dietary advice increased. Although unadjusted advice rates increased during the study period, the likelihood of receiving advice decreased.

Conclusion

Although most participants with diabetes received low-fat dietary advice, almost one-third did not. Low-fat dietary advice was more closely associated with the total number of diabetes risk factors than the presence of diabetes. Increasing rates of diabetes and diabetes risk factors are outpacing increases in provision of low-fat dietary advice.

How to integrate multiple comorbidities in guideline development: article 10 in Integrating and coordinating efforts in COPD guideline development. An official ATS/ERS workshop report

BACKGROUND

Professional societies, like many other organizations around the world, have recognized the need to use more rigorous processes to ensure that health care recommendations are informed by the best available research evidence. This is the 10th of a series of 14 articles that were prepared to advise guideline developers in respiratory and other diseases. This article deals with how multiple comorbidities (co-existing chronic conditions) may be more effectively integrated into guidelines.

METHODS

In this review we addressed the following topics and questions using chronic obstructive pulmonary disease (COPD) as an example. (1) How important are multiple comorbidities for guidelines? (2) How have other organizations involved in the development of guidelines for single chronic disease approached the problem of multiple comorbidities? (3) What are the implications of multiple comorbidities for pharmacological treatment? (4) What are the potential changes induced by multiple comorbidities in guidelines? (5) What are the implications of considering a population of older patients with multiple comorbidities in designing clinical trials? Our conclusions are based on available evidence from the published literature, experience from guideline developers, and workshop discussions. We did not attempt to examine all Clinical Practice Guidelines (CPGs) and relevant literature. Instead, we selected CPGs generated by prominent professional organizations and relevant literature published in widely read journals, which are likely to have a high impact on clinical practice.

RESULTS AND CONCLUSIONS

A widening gap exists between the reality of the care of patients with multiple chronic conditions and the practical clinical recommendations driven by CPGs focused on a single disease, such as COPD. Guideline development panels should aim for multidisciplinary representation, especially when contemplating recommendations for individuals aged 65 years or older (who often have multiple comorbidities), and should evaluate the quality of evidence and the strength of recommendations targeted at this population. A priority area for research should be to assess the effect of multiple concomitant medications and assess how their combined effects are altered by genetic, physiological, disease-related, and other factors. One step that should be implemented immediately would be for existing COPD guidelines to add new sections to address the impact of multiple comorbidities on screening, diagnosis, prevention, and management recommendations. Research should focus on the possible interaction of multiple medications. Furthermore, genetic, physiological, disease-related, and other factors that may influence the directness (applicability) of the evidence for the target population in clinical practice guidelines should be examined.

Implementing chronic care for COPD: planned visits, care coordination, and patient empowerment for improved outcomes

Current primary care patterns for chronic obstructive pulmonary disease (COPD) focus on reactive care for acute exacerbations, often neglecting ongoing COPD management to the detriment of patient experience and outcomes. Proactive diagnosis and ongoing multifactorial COPD management, comprising smoking cessation, influenza and pneumonia vaccinations, pulmonary rehabilitation, and symptomatic and maintenance pharmacotherapy according to severity, can significantly improve a patient's health-related quality of life, reduce exacerbations and their consequences, and alleviate the functional, utilization, and financial burden of COPD. Redesign of primary care according to principles of the chronic care model, which is implemented in the patient-centered medical home, can shift COPD management from acute rescue to proactive maintenance. The chronic care model and patient-centered medical home combine delivery system redesign, clinical information systems, decision support, and self-management support within a practice, linked with health care organization and community resources beyond the practice. COPD care programs implementing two or more chronic care model components effectively reduce emergency room and inpatient utilization. This review guides primary care practices in improving COPD care workflows, highlighting the contributions of multidisciplinary collaborative team care, care coordination, and patient engagement. Each primary care practice can devise a COPD care workflow addressing risk awareness, spirometric diagnosis, guideline-based treatment and rehabilitation, and self-management support, to improve patient outcomes in COPD.

Challenges in diabetes management with particular reference to India

Diabetes was estimated to be responsible for 109 thousand deaths, 1157 thousand years of life lost and for 2263 thousand disability adjusted life years (DALYs) in India during 2004. However, health systems have not matured to manage diabetes effectively. The limited studies available on diabetes care in India indicate that 50 to 60% of diabetic patients do not achieve the glycemic target of HbA1c below 7%. Awareness about and understanding of the disease is less than satisfactory among patients, leading to delayed recognition of complications. The cost of treatment, need for lifelong medication, coupled with limited availability of anti-diabetic medications in the public sector and cost in the private sector are important issues for treatment compliance. This article attempts to highlight the current constraints in the health system to effectively manage diabetes and the need for developing workable strategies for ensuring timely and appropriate management with extensive linkage and support for enhancing the availability of trained manpower, investigational facilities and drugs.

Performance measurement in chronic kidney disease

Do Americans receive high-value health care? Value only improves by advancing key indicators in one of two directions: increasing quality, decreasing cost, or both. In the face of unyielding mortality rates and the relentless expense of end-stage renal disease, government agencies and professional organizations are now focusing on new quality measures for patients with advancing chronic kidney disease. These performance measures are in early stages of refinement but reflect efforts of payers to slow the incidence of progressive renal disease across the population. To improve quality of care, one must study the performance measures themselves and determine how to capture the necessary data efficiently, identify the appropriate patients for measurement, and assign accountability to providers. Here, we discuss the challenges of doing this well.

The basis for improving and reforming long-term care. Part 4: identifying meaningful improvement approaches (segment 2)

While many aspects of nursing home care have improved over time, numerous issues persist. Presently, a potpourri of approaches and a push to "fix" the problem have overshadowed efforts to correctly define the problems and identify their diverse causes. This fourth and final article in the series (divided between last month's issue and this one) recommends strategies to make sense of improvement and reform efforts. This month's concluding segment covers additional proposed approaches. Despite the challenges of the current environment, all of the proposed strategies could potentially be applied with little or no delay. Despite having brought vast increases in knowledge, the research effort may be losing its traction as a formidable force for meaningful change. It is necessary to rethink the questions being asked and the scope of answers being sought. A shift to overcoming implementation challenges is needed. In addition, it is essential to address issues of jurisdiction (the apparent "ownership" of assessment and decision making over patient problems or body parts) and reductionism (the excessive management of these issues and problems without proper context) that result in fragmented and problematic care. Issues of knowledge and skill also need to be addressed, with greater emphasis on key generic and technical competencies of staff and practitioners, in addition to factual knowledge. There is a need to rethink the approach to measuring performance and trying to improve quality of care and services. There are significant limits to trying to use quality measures to improve outcomes and performance. Ultimately, vast improvement is needed in applying care principles and practices, independent of regulatory sources. Reimbursement needs to be revamped so that it helps promote care that is consistent with human biology and other key concepts. Finally, improving long-term care will require a coordinated societal effort. All social institutions and health care settings need to address their own shortcomings and contribute constructively in order to improve and reform nursing homes and health care generally. It is not helpful to scapegoat nursing homes for what are far more universal problems of care, practice, and performance.

Multidisciplinary approach for the treatment of diabetes in the elderly

Elderly patients living with diabetes are a highly heterogeneous population with unique care needs. Unlike younger patients, elderly patients may experience an atypical presentation and nontraditional complications of diabetes. Diabetes management and education require greater individualization in elderly adults because of differences in goals of care, risks and benefits of intensive treatment and abilities to practically carry out care regimens. A multidisciplinary approach to diabetes care requires an in-depth knowledge of diabetes, an awareness of geriatric issues and access to decision and educational support. This approach may be the most successful way of delivering individualized diabetes care. Future trials of diabetes care innovations in the elderly will be required to confirm the clinical benefits of this approach.

Patients with multiple chronic conditions do not receive lower quality of preventive care

BACKGROUND

The implications of measuring and rewarding performance for patients with multiple chronic conditions have not been explored empirically.

OBJECTIVE

To examine whether the number of chronic conditions was associated with patient's receipt of recommended preventive care.

METHODS

We evaluated the association between the likelihood of receiving recommended preventive care and the number of chronic conditions in the diabetic population by analyzing the 2003 Medical Expenditure Panel Survey using logistic regression. Demographic characteristics and the number of chronic conditions were compared using chi(2) tests.

OUTCOME MEASURES

Hemoglobin A1C test and diabetic eye exam.

RESULTS

In 2003, approximately 14.2 million non-institutionalized Americans had diabetes and 23% of them had five or more chronic conditions besides diabetes. Those patients were 67% (p < 0.05) and 50% (p < 0.001) more likely to receive hemoglobin A1C test and eye exams compared with diabetic patients with no additional chronic conditions. After adjusting for the number of office-based physician visits, a larger number of chronic conditions did not significantly affect the likelihood of receiving recommended care. Diabetic patients with more chronic conditions had more frequent office-based physician visits (p < 0.0001), and patients with 11 or more annual office-based physician visits were 43% (p < 0.05) and 40% (p < 0.01) more likely to receive hemoglobin A1C test and eye exam, respectively, compared with diabetic patients who had less than two office-based physician visits.

CONCLUSIONS

Diabetic patients with more chronic conditions may receive better quality of preventive care, partly due to their higher number of office-based physician visits.

Beyond Gender Profiling in Lifestyle Medicine

This review discusses evidence-based perspectives on lifestyle risk reduction for men. Implications for clinical best practices and social policy are considered. Directions for future research also are highlighted.

Good glycaemic control: an international perspective on bridging the gap between theory and practice in type 2 diabetes

BACKGROUND

Good glycaemic control is crucial in reducing the risk of diabetes-related complications. Despite the availability of evidence-based treatment guidelines, glycaemic control appears to remain suboptimal in most countries.

OBJECTIVES

In this commentary we outline the extent to which diabetes guideline targets on HbA(1c) are being met in clinical practice and--where targets are being missed--to identify potential reasons for this shortfall. Furthermore, we discuss possible actions that may improve glycaemic control.

METHODS

A literature search of MEDLINE using 20 core terms was conducted to help assess the state of glycaemic control in patients with type 2 diabetes worldwide.

RESULTS

Despite clinical guidelines, evidence suggests that glycaemic control is suboptimal in most parts of the world, with average HbA(1c) values varying from 7.0% to 12.6% and thus above virtually all HbA(1c) recommendations. The potential reasons for this shortfall are numerous. However, lack of diabetes education and awareness of HbA(1c) appear to be particularly important. A number of education initiatives from around the world have been shown to improve HbA(1c) levels significantly and thus improve standards of care.

CONCLUSIONS

Poor glycaemic control in patients with type 2 diabetes appears to be a worldwide problem. As the global rise in diabetes (and its complications) seems destined to affect many less affluent countries, it is essential that appropriate steps are taken to address the barriers to good glycaemic control and ultimately improve outcomes for all people with type 2 diabetes.

Aging and infectious diseases: workshop on HIV infection and aging: what is known and future research directions

Highly active antiretroviral treatment has resulted in dramatically increased life expectancy among patients with HIV infection who are now aging while receiving treatment and are at risk of developing chronic diseases associated with advanced age. Similarities between aging and the courses of human immunodeficiency virus (HIV) infection and acquired immunodeficiency syndrome suggest that HIV infection compresses the aging process, perhaps accelerating comorbidities and frailty. In a workshop organized by the Association of Specialty Professors, the Infectious Diseases Society of America, the HIV Medical Association, the National Institute on Aging, and the National Institute on Allergy and Infectious Diseases, researchers in infectious diseases, geriatrics, immunology, and gerontology met to review what is known about HIV infection and aging, to identify research gaps, and to suggest high priority topics for future research. Answers to the questions posed are likely to help prioritize and balance strategies to slow the progression of HIV infection, to address comorbidities and drug toxicity, and to enhance understanding about both HIV infection and aging.

WellDoc mobile diabetes management randomized controlled trial: change in clinical and behavioral outcomes and patient and physician satisfaction

BACKGROUND

Less than 63% of individuals with diabetes meet professional guidelines target of hemoglobin A1c <7.0%, and only 7% meet combined glycemic, lipid, and blood pressure goals. The primary study aim was to assess the impact on A1c of a cell phone-based diabetes management software system used with web-based data analytics and therapy optimization tools. Secondary aims examined health care provider (HCP) adherence to prescribing guidelines and assessed HCPs' adoption of the technology.

METHODS

Thirty patients with type 2 diabetes were recruited from three community physician practices for a 3-month study and evenly randomized. The intervention group received cell phone-based software designed by endocrinologists and CDEs (WellDoc Communications, Inc., Baltimore, MD). The software provided real-time feedback on patients' blood glucose levels, displayed patients' medication regimens, incorporated hypo- and hyperglycemia treatment algorithms, and requested additional data needed to evaluate diabetes management. Patient data captured and transferred to secure servers were analyzed by proprietary statistical algorithms. The system sent computer-generated logbooks (with suggested treatment plans) to intervention patients' HCPs.

RESULTS

The average decrease in A1c for intervention patients was 2.03%, compared to 0.68% (P < 0.02, one-tailed) for control patients. Of the intervention patients, 84% had medications titrated or changed by their HCP compared to controls (23%, P = 0.002). Intervention patients' HCPs reported the system facilitated treatment decisions, provided organized data, and reduced logbook review time.

CONCLUSIONS

Adults with type 2 diabetes using WellDoc's software achieved statistically significant improvements in A1c. HCP and patient satisfaction with the system was clinically and statistically significant.

Use of an interactive, telephone-based self-management support program to identify adverse events among ambulatory diabetes patients

BACKGROUND

There is growing interest in the use of interactive telephone technology to support chronic disease management. We used the implementation of an automated telephone self-management support program for diabetes patients as an opportunity to monitor patient safety.

METHODS

We identified adverse and potential adverse events among a diverse group of diabetes patients who participated in an automated telephone health-IT self-management program via weekly interactions augmented by targeted nurse follow-up. We defined an adverse event (AE) as an injury that results from either medical management or patient self-management, and a potential adverse event (PotAE) as an unsafe state likely to lead to an event if it persists without intervention. We distinguished between incident, or new, and prevalent, or ongoing, events. We conducted a medical record review and present summary results for event characteristics including detection trigger, preventability, potential for amelioration, and primary care provider awareness.

RESULTS

Among the 111 patients, we identified 111 AEs and 153 PotAEs. Eleven percent of completed calls detected an event. Events were most frequently detected through health IT-facilitated triggers (158, 59%), followed by nurse elicitation (80, 30%), and patient callback requests (28, 11%). We detected more prevalent (68%) than incident (32%) events. The majority of events (93%) were categorized as preventable or ameliorable. Primary care providers were aware of only 13% of incident and 60% of prevalent events.

CONCLUSIONS

Surveillance via a telephone-based, health IT-facilitated self-management support program can detect AEs and PotAEs. Events detected were frequently unknown to primary providers, and the majority were preventable or ameliorable, suggesting that this between-visit surveillance, with appropriate system-level intervention, can improve patient safety for chronic disease patients.

Beyond comorbidity counts: how do comorbidity type and severity influence diabetes patients' treatment priorities and self-management?

BACKGROUND

The majority of older adults have 2 or more chronic conditions and among patients with diabetes, 40% have at least three.

OBJECTIVE

We sought to understand how the number, type, and severity of comorbidities influence diabetes patients' self-management and treatment priorities.

DESIGN

Cross-sectional observation study.

PATIENTS

A total of 1,901 diabetes patients who responded to the 2003 Health and Retirement Study (HRS) diabetes survey.

MEASUREMENTS

We constructed multivariate models to assess the association between presence of comorbidities and each of 2 self-reported outcomes, diabetes prioritization and self-management ability, controlling for patient demographics. Comorbidity was characterized first by a count of all comorbid conditions, then by the presence of specific comorbidity subtypes (microvascular, macrovascular, and non-diabetes related), and finally by severity of 1 serious comorbidity: heart failure (HF).

RESULTS

40% of respondents had at least 1 microvascular comorbidity, 79% at least 1 macrovascular comorbidity, and 61% at least 1 non-diabetes-related comorbidity. Patients with a greater overall number of comorbidities placed lower priority on diabetes and had worse diabetes self-management ability scores. However, only macrovascular and non-diabetes-related comorbidities, but not microvascular comorbidities, were associated with lower diabetes prioritization, whereas higher numbers of microvascular, macrovascular, and non-diabetes-related conditions were all associated with lower diabetes self-management ability scores. Severe, but not mild, HF was associated with lower diabetes prioritization and self-management scores.

CONCLUSIONS

The type and severity of comorbid conditions, and not just the comorbidity count, influence diabetes patients' self-management. Patients with severely symptomatic comorbidities and those with conditions they consider to be unrelated to diabetes may need additional support in making decisions about care priorities and self-management activities.

Population impact—Definition, calculation and its use in prevention science in the example of tobacco smoking reduction

INTRODUCTION

Population Impact is a criterion that can enhance prevention practices and provide a solid foundation for integrating policies and programs for prevention. However, to quantify the population impact of programs a statistical measure is needed. The objective of this article is to (a) deduct a formula to quantify population impact (PI), (b) define the formula for population impact of smoking prevention measures and (c) apply this formula on smoking prevention programs.

METHODS

Decision analytical approach.

RESULTS

The measurement of PI is defined with four parameters: recruitment, retention, efficacy and prevalence. A formula is mathematically deducted and the PI for different smoking prevention programs is calculated.

DISCUSSION

The formula supports decision makers in deciding what prevention measure shows a higher impact on the population, gives hints where to improve the measure to increase the impact, whether recruitment, retention or efficacy needs to be improved and makes it easy to do analyses of costs on the population level.

CONCLUSIONS

To enhance prevention practice prevention measures need to provide all parameters to calculate the PI, research needs to focus on all parameters influencing the PI and costs of prevention measures need to be provided.

Clinical inertia: a common barrier to changing provider prescribing behavior

BACKGROUND

A cross-sectional content analysis nested within a randomized, controlled trial was conducted to collect information on provider responses to computer alerts regarding guideline recommendations for patients with suboptimal hypertension care.

METHODS

Participants were providers who cared for 1,017 patients with uncontrolled hypertension on a single antihypertensive agent within Veterans Affairs primary care clinics. All reasons for action or inaction were sorted into a framework to explain the variation in guideline adaptation.

RESULTS

The 184 negative provider responses to computer alerts contained explanations for not changing patient treatment; 76 responses to the alerts were positive, that is, the provider was going to make a change in antihypertensive regimen. The negative responses were categorized as: inertia of practice (66%), lack of agreement with specific guidelines (5%), patient-based factors (17%), environmental factors (10%), and lack of knowledge (2%). Most of the 135 providers classified as inertia of practice indicated, "Continue current medications and I will discuss at the next visit." The median number of days until the next visit was 45 days (interquartile range, 29 to 78 days).

DISCUSSION

Clinical inertia was the primary reason for failing to engage in otherwise indicated treatment change in a subgroup of patients. A framework was provided as a taxonomy for classification of provider barriers.

Risk assessment in diabetes management: how do general practitioners estimate risks due to diabetes?

OBJECTIVES

To evaluate the ability of general practitioners (GPs) in Germany to estimate the risk of patients with diabetes developing complications.

METHODS

An interview study using a structured questionnaire to estimate risks of four case vignettes having diabetes-specific complications within the next 10 years, risk reduction and life expectancy potential. A representative random sample of 584 GPs has been drawn, of which 150 could be interviewed. We compared GPs' estimates among each other (intraclass correlation coefficient (ICC) and Cohen's (multirater-) kappa) and with risks for long-term complications generated by the multifactor disease model "Mellibase", which is a knowledge-based support system for medical decision management.

RESULTS

The risk estimates by GPs varied widely (ICC 0.21 95% CI (0.13 to 0.36)). The average level of potential risk reduction was between 47% and 70%. Compared with Mellibase values, on average, the GPs overestimated the risk threefold. Mean estimates of potential prolongation of life expectancy were close to 10 years for each patient, whereas the Mellibase calculations ranged from 3 to 10 years.

CONCLUSIONS

Overestimation could lead to unnecessary care and waste of resources.

Seeing in 3-D: examining the reach of diabetes self-management support strategies in a public health care system

The authors examined whether tailored self-management support (SMS) strategies reach patients in a safety net system and explored variation by language, literacy, and insurance. English-, Spanish-, and Cantonese-speaking diabetes patients were randomized to weekly automated telephone disease management (ATDM) or monthly group medical visits. The SMS programs employ distinct communication methods but share common objectives, including behavioral "action plans." Reach was measured using three complementary dimensions: (a) participation among clinics, clinicians, and patients; (b) patient representativeness; and (c) patient engagement with SMS. Participation rates were high across all levels and preferentially attracted Spanish-language speakers, uninsured, and Medicaid recipients. Although both programs engaged a significant proportion in action planning, ATDM yielded higher engagement, especially among those with limited English proficiency and limited literacy. These results provide important insights for health communication and translational research with respect to realizing the public health benefits of SMS and can inform system-level planning to reduce health disparities.

Competing demands or clinical inertia: the case of elevated glycosylated hemoglobin

PURPOSE

This study aimed to examine the contribution of competing demands to changes in hypoglycemic medications and to return appointment intervals for patients with type 2 diabetes and an elevated glycosylated hemoglobin (A1c) level.

METHODS

We observed 211 primary care encounters by adult patients with type 2 diabetes in 20 primary care clinics and documented changes in hypoglycemic medications. Competing demands were assessed from length of encounter, number of concerns patients raised, and number of topics brought up by the clinician. Days to the next scheduled appointment were obtained at patient checkout. Recent A1c values and dates were determined from the chart.

RESULTS

Among patients with an A(1c) level greater than 7%, each additional patient concern was associated with a 49% (95% confidence interval, 35%-60%) reduction in the likelihood of a change in medication, independent of length of the encounter and most recent level of A1c. Among patients with an A(1c) level greater than 7% and no change in medication, for every additional minute of encounter length, the time to the next scheduled appointment decreased by 2.8 days (P = .001). Similarly, for each additional 1% increase in A1c level, the time to the next scheduled appointment decreased by 8.6 days (P=.001).

CONCLUSIONS

The concept of clinical inertia is limited and does not fully characterize the complexity of primary care encounters. Competing demands is a principle for constructing models of primary care encounters that are more congruent with reality and should be considered in the design of interventions to improve chronic disease outcomes in primary care settings.

Group visits: promoting adherence to diabetes guidelines

BACKGROUND

Current diabetes management guidelines offer blueprints for providers, yet type 2 diabetes control is often poor in disadvantaged populations. The group visit is a new treatment modality originating in managed care for efficient service delivery to patients with chronic health problems. Group visits offer promise for delivering care to diabetic patients, as visits are lengthier and can be more frequent, more organized, and more educational.

OBJECTIVE

To evaluate the effect of group visits on clinical outcomes, concordance with 10 American Diabetes Association (ADA) guidelines [American Diabetes Association, Diabetes Care, 28:S4-36, 2004] and 3 United States Preventive Services Task Force (USPSTF) cancer screens [U.S. Preventive Services Task Force, http://www.ahrq.gov/clinic/uspstf/resource.htm, 2003].

RESEARCH DESIGN AND METHODS

A 12-month randomized controlled trial of 186 diabetic patients comparing care in group visits with care in the traditional patient-physician dyad. Clinical outcomes (HbA1c, blood pressure [BP], lipid profiles) were assessed at 6 and 12 months and quality of care measures (adherence to 10 ADA guidelines and 3 USPSTF cancer screens) at 12 months.

RESULTS

At both measurement points, HbA1c, BP, and lipid levels did not differ significantly for patients attending group visits versus those in usual care. At 12 months, however, patients receiving care in group visits exhibited greater concordance with ADA process-of-care indicators (p < .0001) and higher screening rates for cancers of the breast (80 vs. 68%, p = .006) and cervix (80 vs 68%, p = .019).

CONCLUSIONS

Group visits can improve the quality of care for diabetic patients, but modifications to the content and style of group visits may be necessary to achieve improved clinical outcomes.

Utilization and expenditures of veterans obtaining primary care in community clinics and VA medical centers: an observational cohort study

Background

To compare VA inpatient and outpatient utilization and expenditures of veterans seeking primary care in community-based outpatient clinics (CBOCs) and VA medical centers (VAMCs) in fiscal years 2000 (FY00) and 2001.

Methods

The sample included 25,092 patients who obtained primary care exclusively from 108 CBOCs in FY00, 26,936 patients who obtained primary care exclusively from 72 affiliated VAMCs in FY00, and 11,450 "crossover" patients who obtained primary care in CBOCs and VAMCs in FY00. VA utilization and expenditure data were drawn from the VA's system-wide cost accounting system. Veteran demographic characteristics and a 1999 Diagnostic Cost Group risk score were obtained from VA administrative files. Outpatient utilization (primary care, specialty care, mental health, pharmacy, radiology and laboratory) and inpatient utilization were estimated using count data models and expenditures were estimated using one-part or two-part models. The second part of two-part models was estimated using generalized linear regressions.

Results

CBOC patients had a slightly more primary care visits per year than VAMC patients (p < 0.0001), but lower primary care costs (-$71, p < 0.0001). CBOC patients had lower odds of one or more specialty, mental health, ancillary visits and hospital stays per year, and fewer numbers of visits and stays if they had any and lower specialty, mental health, ancillary and inpatient expenditures (all, p < 0.0001). As a result, CBOC patients had lower total outpatient and overall expenditures than VAMC patients (p < 0.0001).

Conclusion

CBOCs provided veterans improved access to primary care and other services, but expenditures were contained because CBOC patients who sought health care had fewer visits and hospital stays than comparable VAMC patients. These results suggest a more complex pattern of health care utilization and expenditures by CBOC patients than has been found in prior studies. This study also illustrates that CBOCs continue to be a critical primary care and mental health access point for veterans.

Use of Pharmacy Database to Investigate Patterns of Physician Practice as Related to Patient Outcomes

Background:

It has been observed that physicians vary considerably in their dose prescribing in the cardiac catheterization laboratory.

Objective:

To investigate the relationship between heparin dose and patient outcome and demonstrate the effectiveness of data mining in investigating variation in physician practice.

Methods:

The pharmacy database containing information about heparin dose prior to angioplasty was merged with a clinical database containing information about patient weight and length of hospital stay. The data were analyzed using data mining and kernel density estimation.

Results:

Cardiologists practice differing methods for administering heparin doses. This variability has impact on patient length-of-stay. Patients receiving heparin doses greater than 80 mg/kg stayed in the catheterization lab longer than patients receiving less (p < 0.001). This was independent of the number of vessels treated during angioplasty.

Conclusions:

Length of stay related to angioplasty is significantly related to physician decisions concerning the heparin dose prescribed. Data mining is an effective tool that can be used to exploit the pharmacy database for research into physician practice.

Unforeseen Inpatient Mortality Among Veterans With Schizophrenia

BACKGROUND

Patients with schizophrenia have co-occurring medical conditions, like other patients, but may lack the capacity to provide good self-care or to work with their providers to ensure appropriate medical treatment. We hypothesized that death among patients with schizophrenia occurs more frequently after minimal care of comorbid conditions.

METHODS

All patients who died in veterans affairs (VA) hospitals during FY02 were categorized as to type of death: unforeseen (age <80 years, 1-2 inpatient days past year), cancer, organ failure (heart, lungs, kidneys), frailty (dementias, hip fractures, dehydration, etc.), or other deaths. Logistic regression explored factors in unforeseen death.

RESULTS

During the year, 27,798 patients died in VA facilities; 3% had schizophrenia (n = 943). Roughly two-thirds of all deaths were from cancer or organ failure, 11% frailty, 9% other, and 8% met criteria for unforeseen death. Among patients with schizophrenia, however, 20% fell into the unforeseen death category. In an adjusted model, schizophrenia was associated with a 2-fold increased risk of unforeseen death compared with any other category (odds ratio = 2.4, 95% confidence interval 1.6-3.4). Unforeseen death was less likely among patients with substance abuse diagnoses in the year before death and more likely when patients had no outpatient medical care.

CONCLUSIONS

VA patients with schizophrenia were more likely to die as inpatients with little previous-year care compared with other inpatient decedents without schizophrenia. Outreach efforts may be necessary to engage patients with schizophrenia in treatment of potentially life-threatening conditions.

Impact of Medical Comorbidity on the Quality of Schizophrenia Pharmacotherapy in a National VA Sample

BACKGROUND

More than half of patients with schizophrenia have comorbid chronic medical illness. During the past decade, several studies have evaluated the quality of the medical treatment of these conditions. This work examines the impact of comorbid medical conditions on the quality of schizophrenia pharmacotherapy in the Department of Veterans Affairs (VA).

METHODS

Data for this study came from national VA administrative databases. All VA outpatients diagnosed with schizophrenia during fiscal year 2002 were identified, and the presence of 9 chronic medical conditions was determined by ICD-9 codes. Measures of quality of schizophrenia pharmacotherapy were based on the Schizophrenia Patient Outcomes Research Team (PORT) and included the proportion of patients who received any antipsychotic medications, multiple antipsychotic medications, atypical antipsychotic medications, and dosages in compliance with PORT recommendations. Multivariate logistic regression analysis was used to determine the effects of comorbid medical illness on these measures.

RESULTS

Overall, 92.2% of the patients were prescribed an antipsychotic medication. Patients with 6 of the 9 chronic medical conditions were significantly less likely to be prescribed antipsychotic medications, and the odds of this treatment decreased with increasing medical complexity. 63.8% received doses which were within the recommended PORT guidelines.

CONCLUSIONS

In a large national sample of veterans with schizophrenia, several chronic medical conditions were associated with a decreased likelihood of being prescribed an antipsychotic medication, suggesting less intensive schizophrenia treatment. Patients with medical comorbidity who were treated with antipsychotic medications were as likely to receive doses within the PORT guidelines as schizophrenic patients without medical comorbidity.

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.

Functional Impact and Health Utility of Anxiety Disorders in Primary Care Outpatients

OBJECTIVE

The objective of this study was to examine the relative impact of anxiety disorders and major depression on functional status and health-related quality of life of primary care outpatients.

METHOD

Four hundred eighty adult outpatients at an index visit to their primary care provider were classified by structured diagnostic interview as having anxiety disorders (panic disorder with or without agoraphobia, social phobia, and posttraumatic stress disorder; generalized anxiety disorder was also assessed in a subset) with or without major depression. Functional status, sick days from work, and health-related quality of life (including a preference-based measure) were assessed using standardized measures adjusting for the impact of comorbid medical illnesses. Relative impact of the various anxiety disorders and major depression on these indices was evaluated.

RESULTS

In multivariate regression analyses simultaneously adjusting for age, sex, number of chronic medical conditions, education, and/or poverty status, each of major depression, panic disorder, posttraumatic stress disorder, and social phobia contributed independently and relatively equally to the prediction of disability and functional outcomes. Generalized anxiety disorder had relatively little impact on these indices when the effects of comorbid major depression were considered. Overall, anxiety disorders were associated with substantial decrements in preference-based health states.

CONCLUSIONS

These observations demonstrate that the presence of each of 3 common anxiety disorders (ie, panic disorder, posttraumatic stress disorder, and social phobia)-over and above the impact of chronic physical illness, major depression, and other socioeconomic factors-contributes in an approximately additive fashion to the prediction of poor functioning, reduced health-related quality of life, and more sick days from work. Greater awareness of the deleterious impact of anxiety disorders in primary care is warranted.

Causes of preventable visual loss in type 2 diabetes mellitus: an evaluation of suboptimally timed retinal photocoagulation

To examine circumstances surrounding suboptimally timed retinal photocoagulation, we reviewed the medical records of 238 patients who had received photocoagulation for diabetic retinopathy at one of three large referral centers. Forty-three percent (95% confidence interval, 36% to 49%) of cases were rated as probably or definitely suboptimally timed (i.e., patient could have benefited from earlier photocoagulation). About one third of cases were due to patients going many years without screening (> 3 years), and two thirds were associated with surveillance problems (failures to achieve close follow-up for known retinopathy). We found that suboptimal timing of photocoagulation was common but was not due to patients going between 13 and 36 months between screening visits, suggesting that current performance measures, which focus on annual retinal examinations, may be requiring wasteful care while not addressing a major quality problem.