Advances in Diabetes & Endocrinology最新文献

Reimagining Empowerment: A Critical Review of Empowerment Theory in Diabetes Research 重新想象赋权:糖尿病研究中赋权理论的批判性回顾

Advances in Diabetes & Endocrinology Pub Date : 1900-01-01 DOI: 10.13188/2475-5591.1000016

HR Walker

{"title":"Reimagining Empowerment: A Critical Review of Empowerment Theory in Diabetes Research","authors":"HR Walker","doi":"10.13188/2475-5591.1000016","DOIUrl":"https://doi.org/10.13188/2475-5591.1000016","url":null,"abstract":"Diabetes, well documented as a complicated condition, has been the focus of self-management studies for over three decades. Empowerment theory has co-developed within diabetes literature at the same time. However, this literature lacks a core and standard definition, which has led to incongruencies in theory and relative terminology. In this critical review, the construct of empowerment in diabetes literature is dissected and examined. Prominent measures and methods are problematized to highlight their overreliance on individual behavior rather than systemic social change. Current interventions targeting empowerment focus almost exclusively on individual behavior-change, inadvertently suggesting that the location of the problem of poor management lies within the abilities, attitudes, and beliefs of individuals. This paper argues that there has to be a socially-based power-related shift from one group to another in the process of empowerment for its construct to be complete, and that the ultimate agent of change must shift from the patient to systemic barriers in their way. Examples of online patient community-generated definitions, resources, and practices of empowerment are highlighted, leading to an argument that researchers and healthcare providers ought to add nuance to the construct of empowerment by weaving in community and systems levels change goals.","PeriodicalId":142531,"journal":{"name":"Advances in Diabetes & Endocrinology","volume":"354 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115781213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Case Report of Calcium- Sensing Receptor Gene Variant CASR (c.659G>A; p.R220Q) and Primary Hyperparathyroidism 钙敏感受体基因变异CASR (c.659G>A) 1例报告p.R220Q)和原发性甲状旁腺功能亢进

Advances in Diabetes & Endocrinology Pub Date : 1900-01-01 DOI: 10.13188/2475-5591.1000017

M. Fang

引用次数: 0

Validated Models Using EHRs or Claims Data to Distinguish Diabetes Type among Adults 使用电子病历或索赔数据来区分成人糖尿病类型的验证模型

Advances in Diabetes & Endocrinology Pub Date : 1900-01-01 DOI: 10.13188/2475-5591.1000018

JR Campione

{"title":"Validated Models Using EHRs or Claims Data to Distinguish Diabetes Type among Adults","authors":"JR Campione","doi":"10.13188/2475-5591.1000018","DOIUrl":"https://doi.org/10.13188/2475-5591.1000018","url":null,"abstract":"Purpose: Clinical data provides the opportunity for efficient and timely disease surveillance. We developed and validated advanced phenotyping models to classify adult patients with diabetes to type 1, type 2, or other/indeterminate using structured fields from EHR data. To simulate the use of claims data supplemented with medication information, we compared model performance before and after the removal of body mass index (BMI) and laboratory results. Methods: We used 3 years of EHR data from a sample of 2,465 adult patients with diabetes from a health care system’s clinical data warehouse. A weighted ratio of type 1 diabetes codes to all diabetes codes was created by down-weighting codes from care settings that do not treat diabetes. We developed two multinomial regression models and a machine learning conditional inference tree to classify patients to type 1, type 2, or other/indeterminate. The models were validated by calculating sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) relative to a gold standard. Results: For all models, the weighted ratio of type 1 diabetes was the strongest predictive factor. The models had validation statistics ≥ 93% for sensitivity; ≥ 87% for specificity; ≥ 88% for PPV, and ≥ 93% for NPV. After removal of BMI and laboratory data from the regression model the largest decline in performance from the full model was in type 2 diabetes specificity (90.8% to 89.2%). Conclusion: Prediction models and machine learning conditional inference trees using either structured fields from EHR data or claims data supplemented with medication data can be used to accurately distinguish diabetes type among adults. The inclusion of BMI and laboratory results improves model specificity for type 2","PeriodicalId":142531,"journal":{"name":"Advances in Diabetes & Endocrinology","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130792980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hyperfiltration in Diabetic Patients Associated With Mild Hyponatremia 糖尿病患者伴轻度低钠血症的高滤过

Advances in Diabetes & Endocrinology Pub Date : 1900-01-01 DOI: 10.13188/2475-5591.1000015

T. Endo

引用次数: 0

Diabetes Mellitus and Planning Conception 糖尿病与计划受孕

Advances in Diabetes & Endocrinology Pub Date : 1900-01-01 DOI: 10.13188/2475-5591.1000019

TG Singh

引用次数: 0

Advances in Diabetes &amp; Endocrinology最新文献

Advances in Diabetes & Endocrinology最新文献