An evidence-based quality improvement perspective for a chronic obstructive pulmonary disease case-finding program.

Chronic obstructive pulmonary disease (COPD) is a persistent progressive respiratory disease that is increasing in prevalence and cost in the United States health care system. Delays in recognition, diagnosis, and treatment are associated with poorer clinical outcomes. These delays are seen more often in populations experiencing economic hardship, lack of access to care, and lack of insurance, such as those seen in an indigent care clinic. The COPD case-finding program was planned as an evidence-based quality improvement project with a prospective, descriptive design generating a convenience sample of patients meeting modified screening criteria (i.e. patients 40 years of age with a smoking history and no pulmonary disease history) in a community-based indigent care clinic which was not screening for COPD. Practice change recommendations were guided by the Diffusion of Innovations Model. Descriptive statistics were used to describe the sample (i.e. age, ethnicity, race, gender, income, and selected comorbidities). Sensitivity, specificity, positive predictive value, negative predictive value, prevalence, and receiver operator characteristics curve COPD Questionnaire were calculated for this sample.

A systematic review of the relationship of diabetes mellitus, depression, and missed appointments in a low-income uninsured population.

The purpose of this systematic literature review was to determine the relationship between the diagnosis of diabetes and depression and missed appointments in a low-income, uninsured, racially heterogeneous, adult population. Research demonstrates that individuals with diabetes have an increased incidence of depression across socioeconomic and racial groups. Low-income individuals have an increased prevalence of depression. The cost and burden of diabetes are greatly increased among individuals with both diabetes and depression versus diabetes alone. The prevalence and effects of diabetes and depression in a low-income, uninsured, racially heterogeneous population have not been determined. Further research to explore the relationship of diabetes, depression, and missed appointments in this vulnerable population is needed before effective treatment models can be developed. Longitudinal studies are also needed to determine the cause and effect between diabetes and depression among all populations.

The relationship between diabetes mellitus, depression, and missed appointments in a low-income uninsured population.

PURPOSE: The purpose of this project is to identify rates of depression and document mental health needs of adults with diabetes who obtained care in free clinics. Data were collected to determine if there is a relationship between diabetes and depression and missed appointments in a sample of patients who were low-income, uninsured, and represented a variety of racial groups. METHODS: A sample of 183 adults with diabetes participated by completing paper and computerized questionnaires. Instruments included the Patient Health Questionnaire 9 (to measure prevalence of depression), the RAND 36 Health Survey (to measure quality of health), the Audit of Diabetes Dependent Quality of Life (to measure diabetes-dependent quality of life), and the Diabetes Empowerment Scale (to measure self-efficacy). RESULTS: The prevalence of depression at a moderate or greater level in the sample was found to be 30.1%. Levels of quality of health and self-efficacy were found to be reduced among those with the presence of depression. A significant increase in the rate of depression was found among those who had attended the free clinic for a longer period. No significant differences were found in diabetes-dependent quality of life and missed appointments among those with depression compared with those without. CONCLUSIONS: Rates of depression among adults with diabetes in a free clinic setting were found to be comparable with the highest rates reported by other studies of insured populations. Results of this study support the need to develop mental health treatment programs for free clinic settings.