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Biomedical subjects

Duane M Kirking

Publications and source records attributed to Duane M Kirking.

8 recordsLinked to original sources
PubMed2006

Use, intentions, and beliefs about hormone replacement therapy in women with and without diabetes.

OBJECTIVES: (1) Describe women's (a) hormone replacement therapy (HRT) use patterns, (b) intentions to use or continue to use HRT among women in the early and late stages of menopause, and (c) beliefs about using HRT and (2) compare these beliefs, patterns, and intentions between women with and without diabetes 10-12 months after news from the women's health initiative was widely publicized. METHODS: A survey mailed to female enrollees of a not-for-profit managed care organization (MCO) between 46 and 60 years of age and with or without diabetes. Descriptive statistics were calculated. Chi-square analysis was used to determine significant differences between four different HRT use and menopause stage groups, (1) early stage never user, (2) late stage never user, (3) late stage current user, and (4) late stage previous user. Analysis of variance (ANOVA) was used to identify significant belief differences between the four groups. Repeated-measures ANOVA was performed to examine differences between women with and without diabetes. RESULTS: Most women did not intend to initiate HRT. About 86% of current HRT users intended to continue. Never users with diabetes were significantly more uncertain about HRT intention than non-diabetic women. All beliefs were significantly different (p<0.001) between the four groups, but not between women with and without diabetes. CONCLUSION: Women in different groups hold different beliefs about HRT use. Uncertainty among women with diabetes is not resolved as quickly as among women without diabetes.

Cardiovascular Diseases↗
PubMed2006

Self-reported adherence in patients with asthma.

BACKGROUND: Not all patients with asthma adhere to their prescribed drug regimens. The Behavioral Model of Health Services Utilization, organized as predisposing, enabling, and need variables, may be useful in identifying variables related to adherent medication-taking behavior. OBJECTIVE: To examine the relationship between predisposing, enabling, and need variables and self-reported adherence with asthma controller drugs. METHODS: A secondary analysis was conducted from a cross-sectional study using survey and claims data obtained from adults with asthma enrolled in a managed care organization. Independent variables included predisposing (age, gender, race, years with asthma, number of comorbidities, health beliefs), enabling (income, number of metered-dose inhaler [MDI] instructors, inhaler technique, perceived physician access), and need (patient-perceived severity, symptom-derived severity, health-related quality of life). Adherence was measured using a 4 item questionnaire scored as the mean of the responses, with 5 denoting highest adherence. Multivariate regression analysis was used to identify variables with statistically significant relationships to self-reported adherence. Stepwise backward elimination was used, with the final model consisting of variables considered significant at p less than 0.05. RESULTS: The 573 respondents (1270 packets sent; 45% response rate) were primarily white (89.5%) and female (71.0%), with an average age of 40.5 +/- 12.4 years (mean +/- SD) and average asthma duration of 18.3 +/- 14.2 years. The mean adherence scale score was 3.7 +/- 1.1, with 84.6% indicating some level of nonadherence (score <5). The final model had an adjusted R(2) of 0.26 and included 6 independent variables. Better adherence was associated with stronger beliefs in the benefits of treatment and trigger avoidance, greater perceived asthma severity, longer asthma duration, more MDI instructors, and higher scores on the Short-Form 36 mental component summary. CONCLUSIONS: Complex beliefs, perceptions, and experiences constitute the variables associated with adherent medication-taking behavior. Future longitudinal studies should include these variables to determine the predictive strength of the model.

Adolescent↗
PubMed2006

Patient-reported underuse of prescription medications: a comparison of nine surveys.

Nine national surveys documenting patient underuse of prescription medications were examined to describe the variation and trends in that underuse and identify possible reasons for the substantially different rates that were reported. Underuse includes unfilled prescriptions, delayed therapy, reduced frequency, and lowered dosage. Rates of cost-related patient underuse in the studies ranged from 1.6 to 22 percent. Insurance coverage, level of wealth, age, and health status were the sociodemographic variables most strongly related to underuse. Seven additional factors in the design and administration of the surveys were identified as providing plausible explanations for the variance across surveys. The most conspicuous variation was between three government-sponsored periodic surveys and six generally one-time assessments, with the latter yielding higher rates and greater variance in underuse. Understanding the factors contributing to the variation in reported rates of underuse of medications is an important prerequisite for the design of effective prescription-drug benefit programs.

Adolescent↗
PubMed2004

Variation in the distribution of patient-reported outcomes based on different definitions of defining asthma severity.

OBJECTIVES: The purpose of this study was to observe the variation in the distribution of health-related quality of life and work performance scale scores based on using different methods of determining asthma severity. METHODOLOGY: Five methods of determining asthma severity were used, including three patient-derived measures (patient perceived severity or PPS; overall symptom-derived severity or OSS; and nocturnal symptom-severity or NSS); and 2 methods using retrospective pharmacy claims (reliever/oral steroid use or ROSU and multi-drug use or MDU). Three levels of severity were examined: mild, moderate, and severe, requiring condensing some severity categories of several methods. Data were obtained from a cross-sectional mail survey of 603 adults with asthma in a US managed care organization linked to pharmaceutical/medical claims data. Patient-reported outcomes included the Physical Component Summary Score (PCS) and the Mental Component Summary Score (MCS) of the SF-36, the summary score (AQLQ) of the Asthma Quality of Life Questionnaire, and the Work Performance Scale score (WPS) of the perceived work performance scale of the Functional Status Questionnaire. Analysis of variance (ANOVA) was used to examine each method's ability to distinguish between severity levels. Descriptive statistics were used to observe differences in scale scores between methods. RESULTS: Within each method, significant severity effects (except MDU) were found for PCS, AQLQ, and WPS. In post-hoc analyses, mild-moderate and mild-severe comparisons were consistently significant (p < 0.05). In the cross-method analyses, method effects were found at all levels of severity for most scale scores with ranges increasing with increases in severity level. Within-method results were consistent with previous studies demonstrating a significant relationship between severity, health-related quality of life (HRQL) and work performance (WP). However, HRQL and WP scale scores varied by the method used to define severity. CONCLUSION: This variation should be considered when performing cross-study comparisons of burden of illness and treatment effects.

Adult↗
PubMed2003

Methods of measuring asthma severity and influence on patient assignment.

BACKGROUND: There is a need for nonclinical measures in studies where objective clinical data used to determine asthma severity, such as spirometry and peak expiratory flow rate meter readings, are not available. OBJECTIVE: To determine whether different methods of defining asthma severity provide different distributions of patients across the categories of mild, moderate, and severe asthma. METHODS: Data were obtained from a mail survey and the database of a managed care organization located in Michigan. Seven methods of asthma severity that used either patient self-report or claims data were evaluated and divided into 3 categories: patient-perceived severity (1 method), symptom-derived severity (4 methods), and medication-derived severity (2 methods). To further evaluate the extent of the degree of agreement among the 7 severity methods, percent agreement and Cohen K scores were calculated. RESULTS: Surveys were sent to 1,139 persons, and 603 responses were usable. Substantial differences exist in the number of patients in each severity level for different methods of determining asthma severity. The proportion of persons identified as having mild, moderate, and severe asthma ranged from 48% to 82%, 16% to 38%, and 2% to 33%, respectively. The percent agreement and Cohen kappa scores were generally low among the 7 methods. CONCLUSIONS: Due to variations caused by the method of measuring asthma severity, comparability among studies using different methods of classifying asthma severity is limited. Although a uniform evaluation of asthma severity is needed, the results of this study do not identify one preferable method. Rather, investigators should know the limitations of the methods used.

Adolescent↗
PubMed2002

A cross-sectional analysis of work-related outcomes in adults with asthma.

BACKGROUND: Asthma is a disease with physical symptoms that can impair a person's functioning to the point of interfering with school, work, and social activities. OBJECTIVE: Describe how disease (asthma) and patient characteristics affect perceived work performance and absenteeism. METHODS: Using a cross-sectional study design, 369 adults with asthma from a managed care organization responded to a mailed questionnaire which included a perceived work performance scale (WPS) and an item assessing absenteeism. Analysis consisted of psychometric testing of the scale (internal consistency and construct validity); trend observation of influence of perceived and symptom-derived severity on WPS and absenteeism distribution; and regression analysis to examine the relationship between patient/disease characteristics and the work-related outcomes. RESULTS: The mean WPS score was 88.0 +/- 16.2 (of a possible 100), with a Cronbach's alpha of 0.79. Most respondents (84.7%) did not miss any work in the previous 4 weeks. WPS scores declined and the percentage of respondent absenteeism increased as perceived and symptom-derived severity worsened. The regression model for WPS produced an adjusted R2 of 0.32 and included the number of other illnesses, health beliefs, race, income, and perceived and symptom-derived asthma severity. The regression model for absenteeism included number of other illnesses, race, health beliefs, and symptom-derived severity. Perceived work performance and absenteeism are outcomes measures that are distinctive and complementary. CONCLUSIONS: Disease severity, race, income, and health beliefs also contribute and should be considered in health services research related to asthma.

Absenteeism↗
PubMed2002

Influence of sociodemographics on the health-related quality of life of pediatric patients with asthma and their caregivers.

The relationship between socioeconomic variables and the health-related quality of life (HQL) of children with asthma and their caregivers was examined. The Pediatric Asthma Quality of Life Questionnaire (PAQLQ) and Pediatric Asthma Caregivers Quality of Life Questionnaire (PACQLQ) were administered to 99 pediatric asthmatic patients and caregivers in two specialty clinics. Sociodemographic data was obtained from medical records and additional questions. The relationship between sociodemographic variables and HQL was determined using multiple linear regression. The mean patient age was 12.6+/-2.1 years, more were male and from a minority race. The mean age of caregivers was 41.2+/-8.5 years; most were female and were fom a minority race. Patients tended to rate their asthma severity as mild to moderate, while caregivers tended to rate patients in the moderate to severe category. Based on prescribed medications, most patients had mild to moderate asthma. Household income was consistently associated with patient-perceived HQL. Less consistent associations were seen with other variables. Household income and the caregiver's perception of asthma severity were associated with all caregiver HQL domains. It was concluded that household income was most consistently associated with the HQL of asthmatic pediatric patients and their caregivers.

Adolescent↗