BackgroundSelf-monitoring of blood pressure (BP) appears to reduce BP in hypertension but important questions remain regarding effective implementation and which groups may benefit most. This individual patient data (IPD) meta-analysis was performed to better understand the effectiveness of BP self-monitoring to lower BP and control hypertension.Methods and findingsMedline, Embase, and the Cochrane Library were searched for randomised trials comparing self-monitoring to no self-monitoring in hypertensive patients (June 2016). Two reviewers independently assessed articles for eligibility and the authors of eligible trials were approached requesting IPD. Of 2,846 articles in the initial search, 36 were eligible. IPD were provided from 25 trials, including 1 unpublished study. Data for the primary outcomes—change in mean clinic or ambulatory BP and proportion controlled below target at 12 months—were available from 15/19 possible studies (7,138/8,292 [86%] of randomised participants). Overall, self-monitoring was associated with reduced clinic systolic blood pressure (sBP) compared to usual care at 12 months (−3.2 mmHg, [95% CI −4.9, −1.6 mmHg]). However, this effect was strongly influenced by the intensity of co-intervention ranging from no effect with self-monitoring alone (−1.0 mmHg [−3.3, 1.2]), to a 6.1 mmHg (−9.0, −3.2) reduction when monitoring was combined with intensive support. Self-monitoring was most effective in those with fewer antihypertensive medications and higher baseline sBP up to 170 mmHg. No differences in efficacy were seen by sex or by most comorbidities. Ambulatory BP data at 12 months were available from 4 trials (1,478 patients), which assessed self-monitoring with little or no co-intervention. There was no association between self-monitoring and either lower clinic or ambulatory sBP in this group (clinic −0.2 mmHg [−2.2, 1.8]; ambulatory 1.1 mmHg [−0.3, 2.5]). Results for diastolic blood pressure (dBP) were similar. The main limitation of this work was that significant heterogeneity remained. This was at least in part due to different inclusion criteria, self-monitoring regimes, and target BPs in included studies.ConclusionsSelf-monitoring alone is not associated with lower BP or better control, but in conjunction with co-interventions (including systematic medication titration by doctors, pharmacists, or patients; education; or lifestyle counselling) leads to clinically significant BP reduction which persists for at least 12 months. The implementation of self-monitoring in hypertension should be accompanied by such co-interventions.
OBJECTIVE -Cost-utility analyses use information on health utilities to compare medical treatments that have different clinical outcomes and impacts on survival. The purpose of this study was to describe the health utilities associated with diabetes and its treatments, complications, and comorbidities.RESEARCH DESIGN AND METHODS -We studied 2,048 subjects with type 1 and type 2 diabetes recruited from specialty clinics at a university medical center. We administered a questionnaire to each individual to assess demographic characteristics, type and duration of diabetes, treatments, complications, and comorbidities, and we used the Self-Administered Quality of Well Being index (QWB-SA) to calculate a health utility score. We then created regression models to fit the QWB-SA-derived health utility scores to indicator variables for type 1 and type 2 diabetes and each demographic variable, treatment, and complication. The coefficients were arranged in clinically meaningful ways to develop models to describe penalties from the health utility scores for nonobese diabetic men without additional treatments, complications, or comorbidities.RESULTS -The utility scores for nonobese diet-controlled men and women with type 2 diabetes and no microvascular, neuropathic, or cardiovascular complications were 0.69 and 0.65, respectively. The utility scores for men and women with type 1 diabetes and no complications were slightly lower (0.67 and 0.64, respectively). Blindness, dialysis, symptomatic neuropathy, foot ulcers, amputation, debilitating stroke, and congestive heart failure were associated with lower utility scores.CONCLUSIONS -Major diabetes complications are associated with worse health-related quality of life. The health utility scores provided should facilitate studies of the health burden of diabetes and the cost-utility of alternative strategies for the prevention and treatment of diabetes.
OBJECTIVE -To describe the direct medical costs associated with type 2 diabetes, as well as its treatments, complications, and comorbidities.RESEARCH DESIGN AND METHODS -We studied a random sample of 1,364 subjects with type 2 diabetes who were members of a Michigan health maintenance organization. Demographic characteristics, duration of diabetes, diabetes treatments, glycemic control, complications, and comorbidities were assessed by surveys and medical chart reviews. Annual resource utilization and costs were assessed using health insurance claims. The log-transformed annual direct medical costs were fitted by multiple linear regression to indicator variables for demographics, treatments, glycemic control, complications, and comorbidities.RESULTS -The median annual direct medical costs for subjects with diet-controlled type 2 diabetes, BMI 30 kg/m 2 , and no microvascular, neuropathic, or cardiovascular complications were $1,700 for white men and $2,100 for white women. A 10-kg/m 2 increase in BMI, treatment with oral antidiabetic or antihypertensive agents, diabetic kidney disease, cerebrovascular disease, and peripheral vascular disease were each associated with 10 -30% increases in cost. Insulin treatment, angina, and MI were each associated with 60 -90% increases in cost. Dialysis was associated with an 11-fold increase in cost. T he worldwide prevalence of diabetes is increasing (1), as is the demand for and cost of medical care (2). Many studies have described the economic impact diabetes has on the health system and society (3-6) and have compared the health care utilization of patients with and without diabetes (7-10). Only a few studies have assessed the relationship between patient characteristics, complications, and costs using patientlevel data (11-16) and most have examined the relationship for aggregated end points (12,13,15,16). The purpose of this study was to describe the relationship between direct medical costs and individual demographic characteristics, treatments, glycemic control, complications, cardiovascular risk factors, and comorbidities in patients with type 2 diabetes. CONCLUSIONSPrevious models have assigned costs to specific diabetes-related health states (17)(18)(19)(20). This approach is most appropriate for acute health states where interactions with other conditions are absent or clearly identifiable and of limited duration (21). A complex chronic disease like diabetes impacts many other apparently unrelated health problems and the resources used in their treatment. Therefore, it is important to extend the scope of a cost model beyond the direct complications of diabetes to include total direct medical costs. Only in this way can the true economic burden of diabetes be assessed. RESEARCH DESIGN AND METHODS -The study was reviewed and approved by the University of Michigan Institutional Review Board. All subjects were enrolled in commercial, Medicare, or Medicaid managed care programs offered by a large Michigan health maintenance organization (HMO). Subjects thus represented ...
OBJECTIVE -Since 1997, the American Diabetes Association has recommended that nondiabetic individuals Ն45 years of age be screened for diabetes at least every 3 years. We sought to characterize the frequency, methods, and results of diabetes screening in routine clinical practice.RESEARCH DESIGN AND METHODS -We studied opportunistic screening in nondiabetic members of a health maintenance organization Ն45 years of age who were assigned to a large, integrated, academic health care delivery system. Screening was defined as the first glucose, HbA 1c , or oral glucose tolerance test (OGTT) performed between 1 January 1998 and 31 December 2000. Chart review was performed to determine the prevalence of diabetes risk factors and to describe follow-up.RESULTS -Of 8,286 nondiabetic patients Ն45 years of age, 69% (n ϭ 5,752) were screened. The frequency of screening was greater in patients with one or more primary care visits and increased with age. Women were more likely to be screened than men, and patients with at least one diabetes risk factor were more likely to be screened than those without risk factors. Random plasma glucose was the most common screening test (95%). Four percent (n ϭ 202) of those screened had abnormal results. Only 38% (n ϭ 77) of those with abnormal results received appropriate follow-up, and 17% (n ϭ 35) were diagnosed with diabetes within 6 months of screening. The yield of screening was very low (0.6%, 35 of 5,752).CONCLUSIONS -Despite frequent screening and appropriate targeting of high-risk patients, follow-up of patients with abnormal results is uncommon and the yield of screening is low. Interventions are needed to help physicians recognize and provide appropriate follow-up for patients with potentially abnormal random glucose levels. Diabetes Care 27:9 -12, 2004I n 2001, 16.7 million Americans were diagnosed with diabetes (1). Unfortunately, ϳ5.4 million Americans with diabetes remained undiagnosed (2). In 1997, the American Diabetes Association (ADA) Expert Committee on the Diagnosis and Classification of Diabetes Mellitus recommended that all nondiabetic individuals Ն45 years of age be screened for diabetes at 3-year intervals as a part of their routine medical care (opportunistic screening). The ADA recommended that screening be performed with either fasting plasma glucose levels or oral glucose tolerance tests (OGTTs) (3). Currently, under the direction of Secretary of Health and Human Services Tommy Thompson, a consortium of federal agencies is exploring the feasibility of a major new "detection initiative" to find the 5.4 million Americans with undiagnosed diabetes.Support for diabetes screening is not based on randomized, controlled clinical trials but on observational data. Analyses of mass screening programs in the former East Germany found that people diagnosed with diabetes as a result of screening had better outcomes than those presenting spontaneously with diabetes (4). More recently, support for screening has come from the U.K. Prospective Diabetes Study, which demonstrated...
These findings suggest that most women with gestational diabetes mellitus are not screened for type 2 DM after delivery. Opportunities for DM prevention and early treatment are being missed.
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