Methods Employed to Assess Weight Loss in Older Adults by Means of Electronic Medical Records: A Systematic Review

2017 ◽  
Vol 36 (1) ◽  
pp. 18-30 ◽  
Author(s):  
Sunny Chen ◽  
William A. Banks ◽  
Julie Silverman ◽  
Meera Sheffrin ◽  
Stephen M. Thielke
2021 ◽  
pp. 105477382098668
Author(s):  
Kathleen Schell ◽  
Denise Lyons ◽  
Barry Bodt

The aim of this retrospective study was to determine the prevalence of orthostatic hypotension (OH) among a convenience sample of older adults on two Acute Care of the Elderly (ACE) units of the ChristianaCare™ in Delaware. Another aim was to determine if subjects with documented OH experienced falls. Retrospective de-identified data was obtained from electronic medical records for the years 2015 to 2018. Among all patients who had valid first orthostatic vital sign (OVS) readings ( n = 7,745), 39.2% had orthostatic hypotension on the first reading. Among the patients, 42.8% were found to be hypotensive during OVS. Thirty-one (0.9%) of those with OH fell at some point during their stay. The odds ratio for falls in the presence of OH was 1.34 with a 95% confidence interval (0.82, 2.21), but a chi-square test failed to find significance ( p = .2494). The results could not determine if OVS should be mandatory in fall prevention protocols.


2021 ◽  
Vol 69 (12) ◽  
pp. 3618
Author(s):  
UmeshChandra Behera ◽  
Brooke Salzman ◽  
AnthonyVipin Das ◽  
GumpiliSai Prashanthi ◽  
Parth Lalakia ◽  
...  

2018 ◽  
Vol 36 (3) ◽  
pp. 255-263 ◽  
Author(s):  
Christopher Lemon ◽  
Michael De Ridder ◽  
Mohamed Khadra

Background: Documentation rates of advance directives (ADs) remain low. Using electronic medical records (EMRs) could help, but a synthesis of evidence is currently lacking. Objectives: To evaluate the evidence for using EMRs in documenting ADs and its implications for overcoming challenges associated with their use. Design: Systematic review of articles in English, published from inception of databases to December 2017. Data Sources: PubMed, PsycINFO, EMBASE, and CINAHL. Methods/Measurements: Four databases were searched from inception to December 2017. Randomized and nonrandomized quantitative studies examining the effects of EMRs on creation, storage, or use of ADs were included. All featured an advance care planning process. Evidence was evaluated using the Cochrane Collaboration’s risk assessment tool. Results: Fifteen studies were included: 1 randomized controlled trial, 1 randomized pilot, 4 pre–post studies, 4 cross-sectional studies, 1 retrospective cohort study, 1 historical control study, 1 retrospective observational study, 1 retrospective review, and 1 evaluation of an EMR feature. Seven studies showed that EMR-based reminders, AD templates, and decision aids can improve AD documentation rates. Three demonstrated that EMR search functions, decision aids, and automatic identification software can help identify patients who have or need ADs according to certain criteria. Five showed EMRs can create documentation challenges, including locating ADs, and making some patients more likely than others to have an AD. Most studies had an unclear or high risk of bias. Conclusions: Limited evidence suggests EMRs could be used to help address AD documentation challenges but may also create additional problems. Stronger evidence is needed to more conclusively determine how EMR may assist in population approaches to improving AD documentation.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S934-S934
Author(s):  
David Stupplebeen ◽  
Tetine L Sentell ◽  
Lance Ching ◽  
Blythe Nett ◽  
Hermina Taylor ◽  
...  

Abstract An estimated one-quarter of United States’ older adults (≥65 years) have diabetes (DM) while half have prediabetes (PreDM). Timely diagnosis can prevent disease progression, but significant proportions of PreDM/DM are undiagnosed. Among Hawai‘i adults, one-third of diabetes and two-thirds of prediabetes cases are undiagnosed; rates for older adults are unknown. Algorithms integrated into Electronic Medical Records (EMR) may improve care by identifying probable undiagnosed cases in patient panels using clinical/laboratory measures. We assessed one algorithm developed by the Hawai‘i Department of Health that identified individuals overdue for screening or with Pre/DM using the records of 20,362 adult patients (51.33% were >65) from a major state health system. 6,371 (31.3%) patients were excluded from analysis; they had no HbA1c screening in the past year or were overdue for screening (70%) based on standard guidelines. Of the remaining 13,991 patients, 7317 were older adults; 6130 (84%) had a PreDM (50.6%) or DM (33.2%) HbA1c value; the rest were controlled or false-positive. Of those older adults with probable PreDM/DM, 38.6% were undiagnosed. Adults >65 were significantly more likely to be flagged with undiagnosed PreDM compared to their younger counterparts (58 versus 54%, p<.001). Notably, 61% of older men flagged with PreDM were undiagnosed. Of the 5,737 patients identified with DM, 22% of those 65 were undiagnosed. Given the recognized high burden of diabetes among older adults, results indicate substantial missed opportunities for the prevention and early treatment of this condition as identified by an EMR algorithm.


2018 ◽  
Author(s):  
Ronald Dendere ◽  
Christine Slade ◽  
Andrew Burton-Jones ◽  
Clair Sullivan ◽  
Andrew Staib ◽  
...  

BACKGROUND Engaging patients in the delivery of health care has the potential to improve health outcomes and patient satisfaction. Patient portals may enhance patient engagement by enabling patients to access their electronic medical records (EMRs) and facilitating secure patient-provider communication. OBJECTIVE The aim of this study was to review literature describing patient portals tethered to an EMR in inpatient settings, their role in patient engagement, and their impact on health care delivery in order to identify factors and best practices for successful implementation of this technology and areas that require further research. METHODS A systematic search for articles in the PubMed, CINAHL, and Embase databases was conducted using keywords associated with patient engagement, electronic health records, and patient portals and their respective subject headings in each database. Articles for inclusion were evaluated for quality using A Measurement Tool to Assess Systematic Reviews (AMSTAR) for systematic review articles and the Quality Assessment Tool for Studies with Diverse Designs for empirical studies. Included studies were categorized by their focus on input factors (eg, portal design), process factors (eg, portal use), and output factors (eg, benefits) and by the valence of their findings regarding patient portals (ie, positive, negative, or mixed). RESULTS The systematic search identified 58 articles for inclusion. The inputs category was addressed by 40 articles, while the processes and outputs categories were addressed by 36 and 46 articles, respectively: 47 articles addressed multiple themes across the three categories, and 11 addressed only a single theme. Nineteen articles had high- to very high-quality, 21 had medium quality, and 18 had low- to very low-quality. Findings in the inputs category showed wide-ranging portal designs; patients’ privacy concerns and lack of encouragement from providers were among portal adoption barriers while information access and patient-provider communication were among facilitators. Several methods were used to train portal users with varying success. In the processes category, sociodemographic characteristics and medical conditions of patients were predictors of portal use; some patients wanted unlimited access to their EMRs, personalized health education, and nonclinical information; and patients were keen to use portals for communicating with their health care teams. In the outputs category, some but not all studies found patient portals improved patient engagement; patients perceived some portal functions as inadequate but others as useful; patients and staff thought portals may improve patient care but could cause anxiety in some patients; and portals improved patient safety, adherence to medications, and patient-provider communication but had no impact on objective health outcomes. CONCLUSIONS While the evidence is currently immature, patient portals have demonstrated benefit by enabling the discovery of medical errors, improving adherence to medications, and providing patient-provider communication, etc. High-quality studies are needed to fully understand, improve, and evaluate their impact.


10.2196/12779 ◽  
2019 ◽  
Vol 21 (4) ◽  
pp. e12779 ◽  
Author(s):  
Ronald Dendere ◽  
Christine Slade ◽  
Andrew Burton-Jones ◽  
Clair Sullivan ◽  
Andrew Staib ◽  
...  

2020 ◽  
Vol 134 ◽  
pp. 104036
Author(s):  
Elizabeth Manias ◽  
Tracey Bucknall ◽  
Nilmini Wickramasinghe ◽  
Kathleen Gray ◽  
Jonathan Schaffer ◽  
...  

2020 ◽  
Author(s):  
Mrinali Tripathi ◽  
April Wong ◽  
Victoria Solomon ◽  
Hussein N. Yassine

Background: Familial Chylomicronemia Syndrome (FCS) is a rare genetic disorder characterized by severe hypertriglyceridemia with inadequate response to lipid lowering agents or low-fat diet. The diagnosis of FCS is often missed due to the heterogeneity of its clinical features. Due to lack of awareness, most FCS cases are misdiagnosed or detected too late resulting in complications. Objective: Our goal is to estimate the prevalence of probable FCS in a major Southern California Academic Center, as well as to provide a systematic review of past FCS studies and management recommendations. Methods: Electronic medical records were queried based on a single fasting plasma triglyceride (TG) values of ≥ 880 mg/dL and at least one episode of acute pancreatitis. After exclusion of secondary causes (diabetes, alcohol use, gall bladder disease, chronic kidney disease, uncontrolled hypothyroidism, estrogen, drug use) and response to lipid lowering treatment, probable FCS patients were identified. A systematic review of all published literature on the prevalence and management guidelines for FCS was then presented and discussed. Results: Out of 7,699,288 charts queried, 138 patients with TG levels of ≥880 mg/dL and documented evidence of at least one episode of acute pancreatitis were identified. Nine patients did not have any documented secondary causes of chylomicronemia. Four of the 9 patients had a greater than 20% decrease in TG levels after lipid lowering treatment, 2 patients were not responsive to lipid lowering medication, and data on lipid lowering medications was missing in 3 patients. Conclusions: Our study estimates the prevalence of probable FCS at a range of 0.26 to 0.66 per million. Using the recommended above criteria, probable FCS cases can be identified to allow early diagnosis and management. Abbreviations: FCS = Familial Chylomicronemia Syndrome; MCS = Multifactorial Chylomicronemia Syndrome; CS = Chylomicronemia Syndrome; HTG = Hypertriglyceridemia; TG = Triglyceride; LPL = Lipoprotein Lipase; EMR = Electronic Medical Records.


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