We also explored the association between the number of antihypertensives and systolic, diastolic, and pulse pressure. After 15 months, 41% of participants met blood pressure targets. CKD was not associated with control (adjusted odds ratio: 1.04; 95% CI: 0.93 to 1.15). However, CKD was associated with higher odds of use of ≥3 medications among nondiabetic subjects (odds ratio: 1.46; 95% CI: 1.25 to 1.71) and diabetic subjects (odds ratio: 1.40; 95% CI: 1.17 to 1.66). A significant interaction was observed between CKD and the number of antihypertensives as determinants of diastolic and pulse pressures. Among non-CKD participants, a greater number of antihypertensives (0 compared with 4) was associated with wider pulse pressure ({Delta}5.2 mm Hg; P<0.001), mainly because of higher systolic pressures ({Delta}3.6 mm Hg; P=0.001).

Among participants with CKD, although greater numbers of antihypertensives were associated with even wider pulse pressures ({Delta}8.3 mm Hg; P<0.001), this was primarily because of lower diastolic pressures ({Delta}4.8 mm Hg; P<0.01). Among participants with CKD, greater use of antihypertensives was associated with lower diastolic pressures. Given recent evidence suggesting adverse effects of diastolic hypotension, these results suggest potential risks in patients with CKD from aggressive attempts to control systolic blood pressure.

CONTEXT: Quality problems and spiraling costs have resulted in widespread interest in solutions that improve the effectiveness and efficiency of the health care system. Care coordination has been identified by the Institute of Medicine as one of the key strategies for potentially accomplishing these improvements.

OBJECTIVES: The objectives of this project were to develop a working definition of care coordination, apply it to a review of systematic reviews, and identify theoretical frameworks that might predict or explain how care coordination mechanisms are influenced by factors in the health care setting and how they relate to patient outcomes and health care costs.

DATA SOURCES AND REVIEW METHODS: We used literature databases, Internet searches, and personal contacts to assemble background information on ongoing care coordination programs; potential definitions; conceptual frameworks and related empirical evidence; and care coordination measures. We also conducted literature searches through September 30, 2006 of MEDLINE®, and November 15, 2006 for CINAHL®, Cochrane database of systematic reviews, American College of Physicians Journal Club, Database of Abstracts of Reviews of Effects, PsychInfo, Sociological Abstracts, and Social Services Abstracts to identify systematic reviews of care coordination interventions. We excluded systematic reviews with a narrow focus, namely those conducted solely in the inpatient setting, or where the only two participants involved in care were the patient and a health care provider.

RESULTS: We identified numerous ongoing programs in the private and public sector, most of which have not yet been evaluated. We identified over 40 definitions of care coordination and related terminology, and developed a working definition drawing together common elements: Care coordination is the deliberate organization of patient care activities between two or more participants (including the patient) involved in a patient's care to facilitate the appropriate delivery of health care services. Organizing care involves the marshalling of personnel and other resources needed to carry out all required patient care activities, and is often managed by the exchange of information among participants responsible for different aspects of care. We used this definition to develop our inclusion/exclusion criteria for selecting potentially relevant systematic reviews. Our literature search yielded 4,730 publications, of which 75 systematic reviews evaluating care coordination interventions, either fully or as a part of the review, met inclusion criteria. From these, we identified 20 different coordination interventions (e.g., multidisciplinary teams, case management, disease management) covering 12 clinical populations (e.g., mental health, heart disease, diabetes) and conducted in multiple settings (e.g., outpatient, community, home). Finally, we identified four conceptual frameworks (Andersen's behavioral framework, Donabedian's structure-process-outcome framework, Nadler/Tushman and others' Organizational design framework with Wagner's Chronic Care Model provided as an example of such design, and Gittell's Relational coordination framework) with potential applicability to studying care coordination by assessing baseline characteristics of the environment, specific coordination mechanism alternatives, and outcomes. The strongest evidence shows benefit of care coordination interventions for patients who have congestive heart failure, diabetes mellitus, severe mental illness, a recent stroke, or depression, though evidence about key intervention components is lacking.

CONCLUSIONS: Care coordination interventions represent a wide range of approaches at the service delivery and systems level. Their effectiveness is most likely dependent upon appropriate matching between intervention and care coordination problem, though more conceptual, empirical and experimental research is required to explore this hypothesis.

Context: Quality problems and spiraling costs have resulted in widespread interest in solutions that improve the effectiveness and efficiency of the health care system. Care coordination has been identified by the Institute of Medicine as one of the key strategies for potentially accomplishing these improvements.

Objectives: The objectives of this project were to develop a working definition of care coordination, apply it to a review of systematic reviews, and identify theoretical frameworks that might predict or explain how care coordination mechanisms are influenced by factors in the health care setting and how they relate to patient outcomes and health care costs.

Data Sources and Review Methods: We used literature databases, Internet searches, and personal contacts to assemble background information on ongoing care coordination programs; potential definitions; conceptual frameworks and related empirical evidence; and care coordination measures. We also conducted literature searches through September 30, 2006, of MEDLINE®, and November 15, 2006, for CINAHL®, Cochrane database of systematic reviews, American College of Physicians Journal Club, Database of Abstracts of Reviews of Effects, PsychInfo, Sociological Abstracts, and Social Services Abstracts to identify systematic reviews of care coordination interventions. We excluded systematic reviews with a narrow focus, namely those conducted solely in the inpatient setting, or where the only two participants involved in care were the patient and a health care provider.

Results: We identified numerous ongoing programs in the private and public sector, most of which have not yet been evaluated. We identified over 40 definitions of care coordination and related terminology, and developed a working definition drawing together common elements:

Care coordination is the deliberate organization of patient care activities between two or more participants (including the patient) involved in a patient's care to facilitate the appropriate delivery of health care services. Organizing care involves the marshalling of personnel and other resources needed to carry out all required patient care activities, and is often managed by the exchange of information among participants responsible for different aspects of care.

We used this definition to develop our inclusion/exclusion criteria for selecting potentially relevant systematic reviews. Our literature search yielded 4,730 publications, of which 75 systematic reviews evaluating care coordination interventions, either fully or as a part of the review, met inclusion criteria. From these, we identified 20 different coordination interventions (e.g., multidisciplinary teams, case management, disease management) covering 12 clinical populations (e.g., mental health, heart disease, diabetes) and conducted in multiple settings (e.g., outpatient, community, home). Finally, we identified four conceptual frameworks (Andersen's behavioral framework, Donabedian's structure-process-outcome framework, Nadler/Tushman and others' Organizational design framework with Wagner's Chronic Care Model provided as an example of such design, and Gittell's Relational coordination framework) with potential applicability to studying care coordination by assessing baseline characteristics of the environment, specific coordination mechanism alternatives, and outcomes.

The strongest evidence shows benefit of care coordination interventions for patients who have congestive heart failure, diabetes mellitus, severe mental illness, a recent stroke, or depression, though evidence about key intervention components is lacking.

Conclusions: Care coordination interventions represent a wide range of approaches at the service delivery and systems level. Their effectiveness is most likely dependent upon appropriate matching between intervention and care coordination problem, though more conceptual, empirical and experimental research is required to explore this hypothesis.

Background

Human growth hormone (GH) is widely used as an antiaging therapy, although its use for this purpose has not been approved by the U.S. Food and Drug Administration and its distribution as an antiaging agent is illegal in the United States.

Purpose

To evaluate the safety and efficacy of GH therapy in the healthy elderly.

Data Sources

The authors searched MEDLINE and EMBASE databases for English-language studies published through 21 November 2005 by using such terms as growth hormone and aging.

Study Selection

The authors included randomized, controlled trials that compared GH therapy with no GH therapy or GH and lifestyle interventions (exercise with or without diet) with lifestyle interventions alone. Included trials provided GH for 2 weeks or more to community-dwelling participants with a mean age of 50 years or more and a body mass index of 35 kg/m2 or less. The authors excluded studies that evaluated GH as treatment for a specific illness.

Data Extraction

Two authors independently reviewed articles and abstracted data.

Data Synthesis

31 articles describing 18 unique study populations met the inclusion criteria. A total of 220 participants who received GH (107 person-years) completed their respective studies. Study participants were elderly (mean age, 69 years [SD, 6]) and overweight (mean body mass index, 28 kg/m^2 [SD, 2]). Initial daily GH dose (mean, 14 µg per kg of body weight [SD, 7]) and treatment duration (mean, 27 weeks [SD, 16]) varied. In participants treated with GH compared with those not treated with GH, overall fat mass decreased (change in fat mass, -2.1g [95% CI, -2.8 to -1.35] and overall lean body mass increased (change in lean body mass, 2.1 kg [CI, 1.3 to 2.9]) (P 0.001), and their weight did not change significantly (change in weight, 0.1 kg [CI, -0.7 to 0.8]; P = 0.87). Total cholesterol levels decreased (change in cholesterol, -0.29 mmol/L [-11.21 mg/dL]; P = 0.006), although not significantly after adjustment for body composition changes. Other outcomes, including bone density and other serum lipid levels, did not change. Persons treated with GH were significantly more likely to experience soft tissue edema, arthralgias, carpal tunnel syndrome, and gynecomastia and were somewhat more likely to experience the onset of diabetes mellitus and impaired fasting glucose.

Limitations

Some important outcomes were infrequently or heterogeneously measured and could not be synthesized. Most included studies had small sample sizes.

Conclusions

The literature published on randomized, controlled trials evaluating GH therapy in the healthy elderly is limited but suggests that it is associated with small changes in body composition and increased rates of adverse events. On the basis of this evidence, GH cannot be recommended as an antiaging therapy.

Context:

There have been numerous reports of interventions designed to improve the care of patients with diabetes, but the effectiveness of such interventions is unclear.

Objective:

To assess the impact on glycemic control of 11 distinct strategies for quality improvement (QI) in adults with type 2 diabetes.

Data Sources and Study Selection:

MEDLINE (1966-April 2006) and the Cochrane Collaboration's Effective Practice and Organisation of Care Group database, which covers multiple bibliographic databases. Eligible studies included randomized or quasi-randomized controlled trials and controlled before-after studies that evaluated a QI intervention targeting some aspect of clinician behavior or organizational change and reported changes in glycosylated hemoglobin (HbA1c) values.

Data Extraction:

Postintervention difference in HbA1c values were estimated using a meta-regression model that included baseline glycemic control and other key intervention and study features as predictors.

Data Synthesis:

Fifty randomized controlled trials, 3 quasi-randomized trials, and 13 controlled before-after trials met all inclusion criteria. Across these 66 trials, interventions reduced HbA1c values by a mean of 0.42% (95% confidence interval [CI], 0.29%-0.54%) over a median of 13 months of follow-up. Trials with fewer patients than the median for all included trials reported significantly greater effects than did larger trials (0.61% vs 0.27%, P = .004), strongly suggesting publication bias. Trials with mean baseline HbA1c values of 8.0% or greater also reported significantly larger effects (0.54% vs 0.20%, P = .005). Adjusting for these effects, 2 of the 11 categories of QI strategies were associated with reductions in HbA1c values of at least 0.50%: team changes (0.67%; 95% CI, 0.43%-0.91%; n = 26 trials) and case management (0.52%; 95% CI, 0.31%-0.73%; n = 26 trials); these also represented the only 2 strategies conferring significant incremental reductions in HbA1c values. Interventions involving team changes reduced values by 0.33% more (95% CI, 0.12%-0.54%; P = .004) than those without this strategy, and those involving case management reduced values by 0.22% more (95% CI, 0.00%-0.44%; P = .04) than those without case management. Interventions in which nurse or pharmacist case managers could make medication adjustments without awaiting physician authorization reduced values by 0.80% (95% CI, 0.51%-1.10%), vs only 0.32% (95% CI, 0.14%-0.49%) for all other interventions (P = .002).

Conclusions:

Most QI strategies produced small to modest improvements in glycemic control. Team changes and case management showed more robust improvements, especially for interventions in which case managers could adjust medications without awaiting physician approval. Estimates of the effectiveness of other specific QI strategies may have been limited by difficulty in classifying complex interventions, insufficient numbers of studies, and publication bias.

Background:

Emerging evidence indicates that patients with mental health conditions (MHCs) may receive less intensive medical care. Diabetes serves as a useful condition in which to test for MHC-related disparities in care. We examined whether quality measures for diabetes care are worse for patients with or without MHCs.

Methods:

This national, cross-sectional study included 313 586 noninstitutionalized Veterans Health Administration patients with diabetes (identified from diagnostic codes and prescriptions) whose Veterans Health Administration facility transmitted laboratory data to a central database; 76 799 (25%) had MHCs (based on diagnostic codes for depressed mood, anxiety, psychosis, manic symptoms, substance use disorders, personality disorders, and other categories). National data from Veterans Health Administration records, Medicare claims, and a national survey were linked to characterize 1999 diabetes care.

Results:

Failure to meet diabetes performance measures was more common in patients with MHCs: unadjusted odds ratio (95% confidence interval) was 1.24 (1.22-1.27) for no hemoglobin A1c testing, 1.25 (1.23-1.28) for no low-density lipoprotein cholesterol testing, 1.05 (1.03-1.07) for no eye examination, 1.32 (1.30-1.35) for poor glycemic control, and 1.17 (1.15-1.20) for poor lipemic control. Disparities persisted after case mix adjustment and were more pronounced with specific MHCs (psychotic, manic, substance use, and personality disorders). The percentage not meeting diabetes care standards increased with increasing number of MHCs.

Conclusion:

Patients with mental illness merit special attention in national diabetes quality improvement efforts.

OBJECTIVE: Late-night salivary cortisol (LNSC) is reportedly highly accurate for the diagnosis of Cushing's syndrome (CS). However, diagnostic thresholds for abnormal results are based on healthy, young populations and limited data are available on its use in elderly populations with chronic medical conditions. The purpose of this study was to evaluate LNSC levels in elderly male veterans with and without diabetes.

DESIGN: Prospective evaluation of LNSC levels in male veterans.

PATIENTS: One hundred and fifty-four participants with type 2 diabetes and 52 participants without diabetes. MEASUREMENTS: Participants underwent outpatient LNSC (2300 h) testing. Participants with elevated LNSC (> or = 4.3 nmol/l) underwent secondary testing, including 24-h urine free cortisol (24UFC, > 60 microg/day) and dexamethasone suppression testing (DST, serum cortisol > 50 nmol/l). Participants with positive secondary testing had a morning ACTH level analysed and either pituitary or adrenal imaging performed.

RESULTS: One hundred and forty-one diabetics and 46 controls (mean age 61 years) returned samples (91% overall). Average LNSC levels (nmol/l) in diabetics were significantly higher than in nondiabetics [median (interquartile range): 2.6 (1.8-4.1) vs. 1.6 (1.0-2.0)] and in those aged > or = 60 compared to 60 [2.7 (2.0-4.3) vs. 1.9 (1.4-2.9)] (P 0.001 for both). Thirty-one participants required secondary testing. Seventy-nine per cent of participants who underwent secondary testing had normal 24UFC and DST. No cases of CS have been diagnosed to date. Increasing age [odds ratio (OR) 2.0 per decade], current diabetes mellitus (OR 4.4), and elevated blood pressure (OR 1.3 per 10 mmHg increase in systolic blood pressure) were associated with abnormal LNSC results (P 0.05 for each).

CONCLUSIONS: LNSC has been shown to be sensitive and specific in diagnosing CS in certain high-risk populations, primarily the young and middle-aged. The development of age- and comorbidity-adjusted thresholds may be warranted for LNSC testing in elderly subjects and in those with significant comorbidity.

People with stigmatized illnesses often avoid seeking health care and education. The internet may be a useful health education and outreach tool for this group. This study examined patterns of internet use for health information among those with and without stigmatized illnesses.

A national survey of internet users in the USA was conducted. Respondents who self-reported a stigmatized condition - defined as anxiety, depression, herpes, or urinary incontinence - were compared to respondents who reported having at least one other chronic illness, such as cancer, heart problems, diabetes, and back pain. The analytical sample consisted of 7014 respondents. Cross-sectional associations between stigmatized illness and frequency of internet use for information about health care, use of the internet for communication about health, changes in health care utilization after internet use, and satisfaction with the internet were determined.

After controlling for a number of potential confounders, those with stigmatized illnesses were significantly more likely to have used the internet for health information, to have communicated with clinicians about their condition using the internet, and to have increased utilization of health care based on information found on the internet, than those with non-stigmatized conditions. Length of time spent online, frequency of internet use, satisfaction with health information found on the internet, and discussion of internet findings with health care providers did not significantly differ between the two groups.

Results from this survey suggest that the internet may be a valuable health communication and education tool for populations who are affected by stigmatized illnesses.