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      Recurrent Diabetic Ketoacidosis in Inner-City Minority Patients : Behavioral, socioeconomic, and psychosocial factors

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          Abstract

          OBJECTIVE

          To conduct a bedside study to determine the factors driving insulin noncompliance in inner-city patients with recurrent diabetic ketoacidosis (DKA).

          RESEARCH DESIGN AND METHODS

          We analyzed socioeconomic and psychological factors in 164 adult patients with DKA who were admitted to Grady Hospital between July 2007 and August 2010, including demographics, diabetes treatment, education, and mental illness. The Patient Health Questionnaire-9 and the Short Form-36 surveys were used to screen for depression and assess quality of life.

          RESULTS

          The average number of admissions was 4.5 ± 7 per patient. A total of 73 patients presented with first-time DKA, and 91 presented with recurrent DKA; 96% of patients were African American. Insulin discontinuation was the leading precipitating cause in 68% of patients; other causes were new-onset diabetes (10%), infection (15%), medical illness (4%), and undetermined causes (3%). Among those who stopped insulin, 32% gave no reasons for stopping, 27% reported lack of money to buy insulin, 19% felt sick, 15% were away from their supply, and 5% were stretching insulin. Compared with first-time DKA, those with recurrent episodes had longer duration of diabetes ( P < 0.001), were a younger age at the onset of diabetes ( P = 0.04), and had higher rates of depression ( P = 0.04), alcohol ( P = 0.047) and drug ( P < 0.001) abuse, and homelessness ( P = 0.005). There were no differences in quality-of-life scores, major psychiatric illnesses, or employment between groups.

          CONCLUSIONS

          Poor adherence to insulin therapy is the leading cause of recurrent DKA in inner-city patients. Several behavioral, socioeconomic, psychosocial, and educational factors contribute to poor compliance. The recognition of such factors and the institution of culturally appropriate interventions and education programs might reduce DKA recurrence in minority populations.

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          Most cited references16

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          Utility of a new procedure for diagnosing mental disorders in primary care. The PRIME-MD 1000 study.

          To assess the validity and utility of PRIME-MD (Primary Care Evaluation of Mental Disorders), a new rapid procedure for diagnosing mental disorders by primary care physicians. Survey; criterion standard. Four primary care clinics. A total of 1000 adult patients (369 selected by convenience and 631 selected by site-specific methods to avoid sampling bias) assessed by 31 primary care physicians. PRIME-MD diagnoses, independent diagnoses made by mental health professionals, functional status measures (Short-Form General Health Survey), disability days, health care utilization, and treatment/referral decisions. Twenty-six percent of the patients had a PRIME-MD diagnosis that met full criteria for a specific disorder according to the Diagnostic and Statistical Manual of Mental Disorders, Revised Third Edition. The average time required of the primary care physician to complete the PRIME-MD evaluation was 8.4 minutes. There was good agreement between PRIME-MD diagnoses and those of independent mental health professionals (for the diagnosis of any PRIME-MD disorder, kappa = 0.71; overall accuracy rate = 88%). Patients with PRIME-MD diagnoses had lower functioning, more disability days, and higher rates of health care utilization than did patients without PRIME-MD diagnoses (for all measures, P < .005). Nearly half (48%) of 287 patients with a PRIME-MD diagnosis who were somewhat or fairly well-known to their physicians had not been recognized to have that diagnosis before the PRIME-MD evaluation. A new treatment or referral was initiated for 62% of the 125 patients with a PRIME-MD diagnosis who were not already being treated. PRIME-MD appears to be a useful tool for identifying mental disorders in primary care practice and research.
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            Health-related quality of life associated with chronic conditions in eight countries: results from the International Quality of Life Assessment (IQOLA) Project.

            Few studies and no international comparisons have examined the impact of multiple chronic conditions on populations using a comprehensive health-related quality of life (HRQL) questionnaire. The impact of common chronic conditions on HRQL among the general populations of eight countries was assessed. Cross-sectional mail and interview surveys were conducted. Sample representatives of the adult general population of eight countries (Denmark, France, Germany, Italy, Japan, The Netherlands, Norway and the United States) were evaluated. Sample sizes ranged from 2031 to 4084. Self-reported prevalence of chronic conditions (including allergies, arthritis, congestive heart failure, chronic lung disease, hypertension, diabetes, and ischemic heart disease), sociodemographic data and the SF-36 Health Survey were obtained. The SF-36 scale and summary scores were estimated for individuals with and without selected chronic conditions and compared across countries using multivariate linear regression analyses. Adjustments were made for age, gender, marital status, education and the mode of SF-36 administration. More than half (55.1%) of the pooled sample reported at least one chronic condition, and 30.2% had more than one. Hypertension, allergies and arthritis were the most frequently reported conditions. The effect of ischemic heart disease on many of the physical health scales was noteworthy, as was the impact of diabetes on general health, or arthritis on bodily pain scale scores. Arthritis, chronic lung disease and congestive heart failure were the conditions with a higher impact on SF-36 physical summary score, whereas for hypertension and allergies, HRQL impact was low (comparing with a typical person without chronic conditions, deviation scores were around -4 points for the first group and -1 for the second). Differences between chronic conditions in terms of their impact on SF-36 mental summary score were low (deviation scores ranged between -1 and -2). Arthritis has the highest HRQL impact in the general population of the countries studied due to the combination of a high deviation score on physical scales and a high frequency. Impact of chronic conditions on HRQL was similar roughly across countries, despite important variation in prevalence. The use of HRQL measures such as the SF-36 should be useful to better characterize the global burden of disease.
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              Interpreting SF-36 summary health measures: a response.

              In response to questions raised about the "accuracy" of SF-36 physical (PCS) and mental (MCS) component summary scores, particularly extremely high and low scores, we briefly comment on: how they were developed, how they are scored, the factor content of the eight SF-36 subscales, cross-tabulations between item-level responses and extreme summary scores, and published and new tests of their empirical validity. Published cross-tabulations between SF-36 items and PCS and MCS scores, reanalyses of public datasets (N = 5919), and preliminary results from the Medicare Health Outcomes Survey (HOS) (N = 172,314) yielded little or no evidence in support of Taft's hypothesis that extreme scores are an invalid artifact of some negative scoring weights. For example, in the HOS, those (N = 432) with "unexpected" PCS scores worse than 20 (which, according to Taft, indicate better mental health rather than worse physical health) were about 25% more likely to die within two years, in comparison with those scoring in the next highest (21-30) category. In this test and in all other empirical tests, results of predictions supported the validity of extreme PCS and MCS scores. We recommend against the interpretation of average differences smaller than one point in studies that seek to detect "false" measurement and we again repeat our 7-year-old recommendation that results based on summary measures should be thoroughly compared with the SF-36 profile before drawing conclusions. To facilitate such comparisons, scoring utilities and user-friendly graphs for SF-36 profiles and physical and mental summary scores (both orthogonal and oblique scoring algorithms) have been made available on the Internet at www.sf-36.com/test.
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                Author and article information

                Journal
                Diabetes Care
                diacare
                dcare
                Diabetes Care
                Diabetes Care
                American Diabetes Association
                0149-5992
                1935-5548
                September 2011
                19 August 2011
                : 34
                : 9
                : 1891-1896
                Affiliations
                [1] 1Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
                [2] 2Rollins School of Public Health, Emory University, Atlanta, Georgia
                Author notes
                Corresponding author: Guillermo Umpierrez, geumpie@ 123456emory.edu .
                Article
                0701
                10.2337/dc11-0701
                3161256
                21775761
                3b586318-8db7-4de7-a545-8f7801fe69b5
                © 2011 by the American Diabetes Association.

                Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details.

                History
                : 13 April 2011
                : 4 June 2011
                Categories
                Original Research
                Clinical Care/Education/Nutrition/Psychosocial Research

                Endocrinology & Diabetes
                Endocrinology & Diabetes

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