Biomedical subjects

Susan K Brenneman

Publications and source records attributed to Susan K Brenneman.

10 recordsLinked to original sources

PubMed2006

Agreement between administrative claims and the medical record in identifying patients with a diagnosis of hypertension.

OBJECTIVE: This study evaluated the accuracy of 2 administrative claims-based selection rules to identify patients with hypertension (HTN) using medical records as the gold standard. RESEARCH DESIGN: The claims database consisted of inpatient, outpatient, pharmacy, and eligibility claims for members of a single insurance company from January 2000 through March 2003. Medical records were abstracted for 258 matched patient pairs selected by Rule A (at least 1 HTN-related International Classification of Diseases, 9th Revision [ICD-9] claim) and 138 pairs selected by Rule B (at least 1 HTN-related ICD-9 and at least 1 HTN prescription claim) from 31 provider sites. Sensitivity and specificity of the 2 selection rules were computed using medical chart review as the gold standard for a diagnosis of HTN. SUBJECTS: Of patients selected by Rule A, chart review identified 281 patients with and 235 patients without HTN. Of patients selected by Rule B, chart review identified 172 patients with and 104 patients without HTN. RESULTS: The sensitivity and specificity was 70.8% and 74.9% for Rule A and 76.2% and 93.3% for Rule B. The kappa score was 0.45 for Rule A and 0.65 for Rule B. CONCLUSION: To identify patients with HTN, a selection rule using both a diagnosis and prescription claim has greater sensitivity and specificity than a rule using a diagnosis claim only.

Databases, Factual↗

PubMed2006

Impact of recent fracture on health-related quality of life in postmenopausal women.

UNLABELLED: The effect of fractures other than hip and spine on HRQoL in younger and older women has not been extensively studied. In a cohort of 86,128 postmenopausal women, we found the impact of recent osteoporosis-related fractures on HRQoL to be similar between women < 65 compared with those > or = 65 years of age. The impact of spine, hip, or rib fractures was greater than that of wrist fractures in both age groups. INTRODUCTION: Health-related quality of life (HRQoL) after vertebral and hip fractures has been well studied. Less is known about HRQoL after fractures at other sites. We studied the effect of recent clinical fractures on HRQoL, using Short Form-12 (SF-12). MATERIALS AND METHODS: This study included 86,128 postmenopausal participants in the National Osteoporosis Risk Assessment (NORA) who responded to two follow-up surveys during a 2-year interval. At each survey, they completed the SF-12 HRQoL questionnaire and reported new fractures of the hip, spine, wrist, and rib. The effect of recent fracture on HRQoL was assessed by comparing Physical Component Score (PCS) and Mental Component Score (MCS) means for women with and without new fractures at the second survey. Analyses were by fracture type and by age group (50-64 and 65-99) and were adjusted for PCS and MCS at the first survey. RESULTS: New fractures (320 hip, 445 vertebral, 657 rib, 835 wrist) occurring during the interval between the first and second follow-up surveys were reported by 2257 women. The PCS was poorer in both older and younger women who had fractured the hip, spine, or rib (p < or = 0.001). Wrist fractures had an impact on PCS in women < or = 65 years of age (p < 0.001), but not older women (p > 0.10). These differences in PCS by fracture status were similar to those reported for other chronic diseases such as asthma, chronic obstructive pulmonary disease (COPD), and osteoarthritis. MCS was less consistently changed by fracture status, but younger and older women with vertebral fracture (p < 0.004), older women with hip fracture (p < 0.004), and younger women with rib fracture (p < 0.004) had poorer MCS compared with those who did not fracture within their age cohort. CONCLUSIONS: Recent osteoporosis-related fractures have significant impact on HRQoL as measured by SF-12. The impact of recent fracture on HRQoL was similar for older and younger postmenopausal women. Fracture prevention and postfracture interventions that target the subsequent symptoms are needed for postmenopausal women of any age.

Age Distribution↗

PubMed2006

Assessment of asthma severity and asthma control in children.

National and international guidelines for asthma recommend the assessment and documentation of severity as the basis for patient management. However, studies show that there are problems with application of the severity assessment to children in clinical practice. More recently, asthma control has been introduced as a method to assess the adequacy of current treatment and inform asthma management. In this article we review the application and limitations of the severity assessment and the asthma-control tools that have been tested for use in children. A system of using asthma severity for disease assessment in the absence of treatment and using asthma-control assessment to guide management decisions while a child is receiving treatment appears to be a promising approach to tailor treatment to improve care and outcomes for children with asthma.

Asthma↗

PubMed2006

The Penn shoulder score: reliability and validity.

STUDY DESIGN: Psychometric evaluation of a cross-sectional survey. OBJECTIVES: The purpose of this study was to examine the psychometric properties of reliability and validity of the Penn Shoulder Score (PSS). BACKGROUND: Shoulder outcome measures are used to assess patient self-report levels of pain, satisfaction, and function. The PSS is a 100-point shoulder-specific self-report questionnaire consisting of 3 subscales of pain, satisfaction, and function. This scale has been utilized in the literature. However, the measurement properties of reliability and validity, including responsiveness, of the PSS subscales and overall scale need to be established. METHODS AND MEASURES: Patients (n = 40) with shoulder disorders undergoing a course of outpatient physical therapy completed the PSS at initial visit and again within 72 hours to assess test-retest reliability. The Constant Shoulder Score (CSS) and the American Shoulder and Elbow Surgeons Shoulder Score (ASES) were also completed at the initial visit and compared to the PSS to assess convergent construct validity. A separate cohort of patients (n = 109) completed the PSS at initial visit and 4 weeks later. These scores were used to assess internal consistency and responsiveness. RESULTS: Reliability analysis revealed a test-retest ICC2,1 of 0.94 (95% CI, 0.89-0.97). Internal consistency analysis revealed a Cronbach alpha of 0.93. The standard error of measurement (SEM) was +/- 8.5 scale points (based on a 90% CI) and the minimal detectable change (MDC) was +/- 12.1 scale points (based on a 90% CI). The minimal clinically important difference (MCID) for improvement was 11.4 points. Pearson product moment correlation coefficients between the PSS and the CSS and ASES were 0.85 and 0.87, respectively. Responsiveness analysis revealed an effect size of 1.01 and a standardized response mean of 1.27. CONCLUSIONS: This study has demonstrated that the PSS is a reliable and valid measure for reporting outcome of patients with various shoulder disorders.

Adult↗

PubMed2005

Evaluation of three population-based strategies for fracture prevention: results of the osteoporosis population-based risk assessment (OPRA) trial.

BACKGROUND: The integration of bone density testing into well-designed fracture prevention programs that can be applied in populations has not been studied. OBJECTIVES: We sought to compare the outcomes of 3 strategies for allocating bone density testing within an HMO-based fracture prevention program. RESEARCH DESIGN: Women were randomly sampled and allocated to one of 3 groups: (1) a universal group, in which all were offered bone mineral density (BMD) testing (1986 contacted; 415 participated); 2) the SCORE group, in which women scoring > or = 7 on the SCORE questionnaire were invited for BMD testing (1940 contacted; 576 participated); and (3) the Study of Osteoporotic Fracture (SOF)-based group, in which women with > or = 5 hip fracture risk factors were invited for BMD testing (5342 contacted; 2176 participated). SUBJECTS: Women aged 60-80 not taking hormone therapy or osteoporosis medication were included. MEASURES: Outcomes ascertained during 33 months of follow-up in all women contacted included initiation of osteoporosis treatment and hip and total fracture rates. Outcomes evaluated among all participants included changes in fracture risk factors, osteoporosis knowledge, and satisfaction with the program. RESULTS: Osteoporosis treatment rates did not differ among all women contacted but were slightly higher among trial participants in the universal and SCORE groups (21.1% and 20.2%, respectively; versus 16.7% in the SOF-based group (P value versus universal = 0.04). Among all women contacted, fracture rates were lowest in the universal group (74.11/1000) and differed significantly compared with the SCORE (99.44/1000; P = 0.009) and SOF-based groups (91.77/1000;P = 0.02). Knowledge about osteoporosis risk factors was highest in the universal group and lowest in the SOF-based group (P < 0.01). CONCLUSIONS: The degree to which BMD testing was offered to women in a fracture prevention program significantly affected total fracture rates, change in some fracture risk factors, and knowledge about risk factors.

Aged↗

PubMed2004

An approach to identifying osteopenic women at increased short-term risk of fracture.

BACKGROUND: Identification and management of women to reduce fractures is often limited to T scores less than -2.5, although many fractures occur with higher T scores. We developed a classification algorithm that identifies women with osteopenia (T scores of -2.5 to -1.0) who are at increased risk of fracture within 12 months of peripheral bone density testing. METHODS: A total of 57 421 postmenopausal white women with baseline peripheral T scores of -2.5 to -1.0 and 1-year information on new fractures were included. Thirty-two risk factors for fracture were entered into a classification and regression tree analysis to build an algorithm that best predicted future fracture events. RESULTS: A total of 1130 women had new fractures in 1 year. Previous fracture, T score at a peripheral site of -1.8 or less, self-rated poor health status, and poor mobility were identified as the most important determinants of short-term fracture. Fifty-five percent of the women were identified as being at increased fracture risk. Women with previous fracture, regardless of T score, had a risk of 4.1%, followed by 2.2% in women with T scores of -1.8 or less or with poor health status, and 1.9% for women with poor mobility. The algorithm correctly classified 74% of the women who experienced a fracture. CONCLUSIONS: This classification tool accurately identified postmenopausal women with peripheral T scores of -2.5 to -1.0 who are at increased risk of fracture within 12 months. It can be used in clinical practice to guide assessment and treatment decisions.

Age Distribution↗

PubMed2004

Predictive value of low BMD for 1-year fracture outcomes is similar for postmenopausal women ages 50-64 and 65 and Older: results from the National Osteoporosis Risk Assessment (NORA).

UNLABELLED: The relationship of low bone mass and fracture in younger postmenopausal women has not been extensively studied. In a large cohort of postmenopausal women > or =50 years of age, we found the relationship of BMD measured at peripheral sites and subsequent 1-year fracture risk to be similar between women <65 and those > or =65 years of age. INTRODUCTION: Low bone mass and fractures are prevalent in older postmenopausal women. However, the frequency of low bone mass and fracture in younger postmenopausal women has not been studied extensively. There are very limited data regarding the association between BMD measurements and fractures in postmenopausal women who are between the ages of 50 and 64. MATERIALS AND METHODS: In the National Osteoporosis Risk Assessment (NORA) we studied the frequency of low bone mass and its association with fracture in women 50-64 years of age in comparison with women > or =65 of age. NORA enrolled 200,160 postmenopausal women > or =50 years of age who had no prior diagnosis of osteoporosis. Baseline BMD was measured at the heel, forearm, or finger. A 1-year follow-up survey requesting incident fractures since baseline was completed by 163,935 women, 87,594 (53%) of whom were 50-64 years of age. The association between BMD and fracture was assessed using logistic regression, adjusted for important covariates. RESULTS: Thirty-one percent of women 50-64 years of age had low bone mass (T scores < or = -1.0) compared to 62% of women > or =65 years of age. During the first year of follow-up, 2440 women reported fractures of wrist/forearm, rib, spine, or hip, including 440 hip fractures. Nine hundred four women 50-64 years of age reported fractures, including 86 hip fractures, accounting for 37% of fractures and 20% of hip fractures reported in the entire NORA cohort. Relative risk for osteoporotic fracture was 1.5 for each SD decrease in BMD for both the younger and older groups of women. CONCLUSION: Low BMD in younger postmenopausal women 50-64 years of age showed a 1-year relative risk of fracture similar to that found in women > or =65 years of age.

Age Factors↗

PubMed2004

A population-based osteoporosis screening program: who does not participate, and what are the consequences?

OBJECTIVES: To describe differences in osteoporosis risk factors and rates of fracture and antiresorptive therapy use in women who did and did not participate in an osteoporosis screening program. SETTING: Group Health Cooperative, a health maintenance organization in western Washington state. PARTICIPANTS: A total of 9,268 women (aged 60-80) who were not using any antiresorptive therapy were invited to participate in an osteoporosis screening program. This study compares the 35% who participated with the 65% who did not. DESIGN: This observational cohort study of women invited to participate in a randomized, controlled trial of an osteoporosis screening program provided all participants with personalized feedback on their risk of osteoporosis. Some participants also received bone density testing. Automated administrative data were used to examine differences between participants and nonparticipants in fracture outcomes and medication initiation before and after invitation. RESULTS: Baseline fracture rates did not differ between participants and nonparticipants. After age adjustment, nonparticipants had a higher hip fracture rate (14.1 vs 8.3 per 1,000) and a lower rate of initiating any antiresorptive therapy (10.3 vs 17.9 per 100) than participants after an average of 28 to 29 months of follow-up. CONCLUSION: Participants had reduced hip fracture rates and increased initiation of antiresorptive therapy compared with nonparticipants. It was not possible to determine whether participating in the screening program, unmeasured confounding, or selection bias accounted for differences in hip fracture or therapy initiation rates. These results suggest that women who do not participate in osteoporosis screening should be pursued to identify individuals who could benefit from primary and secondary osteoporosis prevention.

Aged↗

PubMed2003

Management of osteoporosis in women aged 50 and older with osteoporosis-related fractures in a managed care population.

This study describes the pattern of evaluation and management of osteoporosis in women aged 50 and older following an osteoporosis-related fracture, conducted as a retrospective cohort study using the administrative claims database of a managed care organization. Subjects were women, aged 50 years and older, with at least one osteoporosis-related fracture in the years 1996-1998 who were continuously enrolled in the system's health plan for at least 6 months prior to and post-fracture. Bone mineral density (BMD) testing, diagnosis of osteoporosis, and treatment with any Food and Drug Administration-approved medication for osteoporosis were identified using CPT, ICD-9, and National Drug Codes for the 6-month post-fracture period. There were 658 women with an osteoporosis-related fracture: 189 (29%) hip fractures, 226 (34%) wrist fractures, 127 (19%) vertebral fractures, and 116 (18%) rib fractures. In the post-fracture period, 46 (7%) underwent BMD testing, 153 (23%) had a diagnosis of osteoporosis, and 220 (31%) were treated with a medication approved for the prevention or treatment of osteoporosis. Of the 220 women with medication claims, 124 (56%) were for estrogen, and 96 (44%) were for other antiresorptive agents. Of the 507 women who did not have medication claims during the 6 months prior to the fracture, only 17% had new fills after the fracture. Management of osteoporosis in women aged 50 and older with fractures was inadequate, despite the high risk of subsequent fractures and recommendations that osteoporosis be the presumptive diagnosis. Significant opportunity exists for improvement in assuring post-fracture followup care.

Aged↗

PubMed2003

Evaluation of decision rules to identify postmenopausal women for intervention related to osteoporosis.

Decision rules for intervention that utilize screening tools for bone mineral density (BMD) testing and incorporating the BMD findings and other risk factors to identify high-risk women to prevent fracture have not been evaluated. We examine the sensitivity and specificity of decision rules for intervention based on two pre-BMD screening tools: Simple Calculated Osteoporosis Risk Estimation (SCORE) and a Study of Osteoporotic Fractures (SOF)-based tool. Women 60 years of age and older without previous osteoporosis diagnosis were randomly selected from a managed care population and invited to receive a BMD test. Four hundred sixteen women had complete information and were included in the study. Women were classified as high risk requiring intervention using three different criteria: World Health Organization (t-score -2.5 or less), National Osteoporosis Foundation (t-score -2.0 or less, or -1.5 or less with one or more risk factors), and the SOF-based criteria (prior fracture; or age 60-64 with t-score less than -2.5 or age 65 or older with z-score less than -0.43 and five or more risk factors). SCORE identified 82% of the women as appropriate for BMD testing, whereas the SOF-based tool identified 26%. Sensitivity and specificity were 89.8%-96.5% and 23.8%-34.8%, respectively, for the decision rule using SCORE as the screening tool and 30.5%-84.9% and 76.0%-95.8%, respectively, for the decision rule based on SOF screening criteria. SCORE correctly identified more women who were at high risk for intervention, whereas the SOF-based tool correctly identified more women who do not meet intervention criteria. The appropriate selection of a screening tool depends upon the objective for intervention and trade-off between not identifying women for BMD testing who are at high risk and identifying more women for BMD testing who are at low risk.

Aged↗