62 research outputs found

    Results of a novel screening tool measuring dietary sodium knowledge in patients with chronic kidney disease.

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    BackgroundReducing dietary sodium has potential to benefit patients with chronic kidney disease (CKD). Little research is available defining dietary sodium knowledge gaps in patients with pre-dialysis CKD. We designed a brief screening tool to rapidly identify patient knowledge gaps related to dietary sodium for patients with CKD not yet on dialysis.MethodsA Short Sodium Knowledge Survey (SSKS) was developed and administered to patients with pre-dialysis CKD. We also asked patients if they received counseling on dietary sodium reduction and about recommended intake limits. We performed logistic regression to examine the association between sodium knowledge and patient characteristics. Characteristics of patients who answered all SSKS questions correctly were compared to those who did not.ResultsOne-hundred fifty-five patients were surveyed. The mean (SD) age was 56.6 (15.1) years, 84 (54%) were men, and 119 (77%) were white. Sixty-seven patients (43.2%) correctly identified their daily intake sodium limit. Fifty-eight (37.4%) were unable to answer all survey questions correctly. In analysis adjusted for age, sex, race, education, health literacy, CKD stage, self-reported hypertension and attendance in a kidney education class, women and patients of non-white race had lower odds of correctly answering survey questions (0.36 [0.16,0.81]; p = 0.01 women versus men and 0.33 [0.14,0.76]; p = 0.01 non-white versus white, respectively).ConclusionsOur survey provides a mechanism to quickly identify dietary sodium knowledge gaps in patients with CKD. Women and patients of non-white race may have knowledge barriers impeding adherence to sodium reduction advice

    Validation of the shortened Perceived Medical Condition Self-Management Scale in patients with chronic disease

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    Self-efficacy, or perceived competence, has been identified as an important factor in self-management behaviors and health outcomes in patients with chronic disease. Measures of self-management self-efficacy are currently available for multiple forms of chronic disease. One established measure is the 8-item Perceived Medical Condition Self-Management Scale (PMCSMS). This study investigated the use of the PMCSMS in samples of patients with a chronic disease to develop an abbreviated version of the scale that could be more readily used in clinical contexts or in large population health cohort studies. The PMCSMS was administered as either a generic scale or as a disease-specific scale. The results of analyses using item response theory and classical test theory methods indicated that using 4 items of the scale resulted in similar internal consistency (α = .70-0.90) and temporal stability (test-retest r = .75 after 2 to 4 weeks) to the 8-item PMCSMS (r = .81 after 2 to 4 weeks). The 4 items selected had the greatest discriminability among participants (α parameters = 2.49-3.47). Scores from both versions also demonstrated similar correlations with related constructs such as health literacy (r = .13-0.29 vs. 0.14-0.27), self-rated health (r = .17-0.48 vs. 0.26-0.50), social support (r = .21-0.32 vs. 0.25-0.34), and medication adherence (r = .20-0.24 vs. 0.20-0.25). The results of this study indicate that 4-item PMCSMS scores are equally valid but more efficient, and have the potential to be beneficial for both research and clinical applications. (PsycINFO Database Recor

    Development and validation of the Diabetes Numeracy Test (DNT)

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    <p>Abstract</p> <p>Background</p> <p>Low literacy and numeracy skills are common. Adequate numeracy skills are crucial in the management of diabetes. Diabetes patients use numeracy skills to interpret glucose meters, administer medications, follow dietary guidelines and other tasks. Existing literacy scales may not be adequate to assess numeracy skills. This paper describes the development and psychometric properties of the Diabetes Numeracy Test (DNT), the first scale to specifically measure numeracy skills used in diabetes.</p> <p>Methods</p> <p>The items of the DNT were developed by an expert panel and refined using cognitive response interviews with potential respondents. The final version of the DNT (43 items) and other relevant measures were administered to a convenience sample of 398 patients with diabetes. Internal reliability was determined by the Kuder-Richardson coefficient (KR-20). An <it>a priori </it>hypothetical model was developed to determine construct validity. A shortened 15-item version, the DNT15, was created through split sample analysis.</p> <p>Results</p> <p>The DNT had excellent internal reliability (KR-20 = 0.95). The DNT was significantly correlated (p < 0.05) with education, income, literacy and math skills, and diabetes knowledge, supporting excellent construct validity. The mean score on the DNT was 61% and took an average of 33 minutes to complete. The DNT15 also had good internal reliability (KR-20 = 0.90 and 0.89). In split sample analysis, correlations of the DNT-15 with the full DNT in both sub-samples was high (rho = 0.96 and 0.97, respectively).</p> <p>Conclusion</p> <p>The DNT is a reliable and valid measure of diabetes related numeracy skills. An equally adequate but more time-efficient version of the DNT, the DNT15, can be used for research and clinical purposes to evaluate diabetes related numeracy.</p

    Multi-Institutional Implementation of Clinical Decision Support for APOL1, NAT2, and YEATS4 Genotyping in Antihypertensive Management

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    (1) Background: Clinical decision support (CDS) is a vitally important adjunct to the implementation of pharmacogenomic-guided prescribing in clinical practice. A novel CDS was sought for the APOL1, NAT2, and YEATS4 genes to guide optimal selection of antihypertensive medications among the African American population cared for at multiple participating institutions in a clinical trial. (2) Methods: The CDS committee, made up of clinical content and CDS experts, developed a framework and contributed to the creation of the CDS using the following guiding principles: 1. medical algorithm consensus; 2. actionability; 3. context-sensitive triggers; 4. workflow integration; 5. feasibility; 6. interpretability; 7. portability; and 8. discrete reporting of lab results. (3) Results: Utilizing the principle of discrete patient laboratory and vital information, a novel CDS for APOL1, NAT2, and YEATS4 was created for use in a multi-institutional trial based on a medical algorithm consensus. The alerts are actionable and easily interpretable, clearly displaying the purpose and recommendations with pertinent laboratory results, vitals and links to ordersets with suggested antihypertensive dosages. Alerts were either triggered immediately once a provider starts to order relevant antihypertensive agents or strategically placed in workflow-appropriate general CDS sections in the electronic health record (EHR). Detailed implementation instructions were shared across institutions to achieve maximum portability. (4) Conclusions: Using sound principles, the created genetic algorithms were applied across multiple institutions. The framework outlined in this study should apply to other disease-gene and pharmacogenomic projects employing CDS
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