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2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 618-618
Author(s):  
Abdulrahman Alsulami ◽  
Kara Dassel ◽  
Yao He ◽  
Nancy Allen

Abstract The rising prevalence of diabetes mellitus (DM) among older adults is an increasing concern in the U.S. and is expected to nearly triple within the next 40 years. The purpose of this study is to investigate the effectiveness of Medicare Annual Wellness Visits (AWV) utilization on the management of DM among Medicare beneficiaries using data from 26,703 Medicare beneficiaries seen at 13 primary care community clinics (clinic visits between 2017 and 2019). A total of 34% of Medicare beneficiaries participated in an AWV. The total sample was, on average, 72.6 years old (SD=7.0), 57% female, 84% White, and 91% non-Hispanic and had between zero and three co-morbid conditions. The AWV group was significantly younger (mean difference 2.0 years; p<.001) and had fewer comorbid conditions (mean difference 0.1; p<.001) than the non-AWV group at their initial visits. Comparing AWV and non-AWV groups at the first patient visit and last patient visit, there were significantly fewer patients with DM in the AWV group compared to the non-AWV groups (19.2% vs. 24.7%; p<.001 and 53.5% vs. 59.2%; p<.001). DM management was better in the AWV group compared to the non-AWV group at both the first and last patient visits, as exhibited by lower A1C levels (M= 5.9(SD=0.8) vs. M=6.2(SD=1.1); p<.001 and M= 6.6(SD=0.8) vs. M=6.9(SD=1.4); p=.013), lower glucose levels (M=114.0(SD=34.0) vs. M=123.0(SD=51.0); p<.001), and fewer DM medications (M=0.1(SD=.4) vs. M=0.2(SD=0.5); p<.001 and M=0.2(SD=0.6) vs. M=0.3(SD=0.6); p<.001). These results suggest that AWV are effective managing diabetes in older adults Medicare beneficiaries.


Author(s):  
Mieke Nurmalasari ◽  
Witri Zuama Qomarania ◽  
Nauri Anggita Temesvari ◽  
Tria Saras Pertiwi

ABSTRAK.  Peramalan jumlah kunjungan pasien berguna untuk membantu manajemen dalam membuat kebijakan dan perencanaan yang efektif dan efisien. Pesatnya perkembangan teknologi menjadikan data kesehatan digital sebagai salah satu sumber big data. Perlu dilakukan peningkatan pengetahuan pada mahasiswa dan tenaga Perekan Medis dan Manajemen Informasi Kesehatan dalam menganalisis data kunjungan pasien. Metode yang digunakan dalam kegiatan ini adalah pelatihan atau bimbingan teknis yang bersifat teoritis dan praktis. Hasil dari pelatihan ini adalah peningkatan pengetahuan peserta dalam menganalisis data peramalan kunjungan pasien menggunakan software statistik A Tableau. Kata kunci: kunjungan pasien; peramalan; analisis data; public tableau ABSTRACT. Forecasting number of visits is useful to help management to make effective and efficient policies and plans. The rapid development of technology makes digital health data as a one of big data sources. It is necessary to increase the knowledge of student and Professional Health Information Management in analyzing the patient visit data. The method used in this activity is a training or technical guidance which is namely theoretical and practical. The result of this training is an increase in participants' knowledge in analyzing the forecasting of patient visit data using a statistical software Tableau. Keywords: patient visit; forecasting; data analytics; public tableau


2021 ◽  
pp. 970-977
Author(s):  
Saeedeh Shafiee Kristensen ◽  
Sara Shafiee

Rheumatology ◽  
2021 ◽  
Author(s):  
Jonathan T W Au Eong ◽  
Aisha Lateef ◽  
Shen Liang ◽  
Sandy H H Lim ◽  
Sen Hee Tay ◽  
...  

Abstract Objectives Despite the widespread adoption of teleconsultations amid the COVID-19 pandemic, their safety in SLE patients has not been evaluated. Here, we examined subsequent disease activity and flares among SLE patients who received teleconsultation vs in-person consultation. To discern differences in physicians’ prescription behaviour during both forms of consultations, we compared corticosteroid dose adjustments. Methods We studied adult SLE patients who were seen between 1 February 2020 and 1 February 2021. At each patient-visit, rheumatologists utilized phone/video teleconsultation or physical consultation at their discretion. Disease activity was assessed with SLE Disease Activity Index 2000 (SLEDAI-2K) and flares were defined by the SELENA-SLEDAI Flare Index (SFI). We derived a propensity score for patients who were chosen for physical consultation. Multivariable generalized estimation equations were used to analyse SLEDAI-2k and flare at the next visit, adjusted for the propensity score. Results A total of 435 visits were recorded, of which 343 (78.9%) were physical visits and 92 (21.1%) were teleconsultations. The modality of consultation did not predict flare [OR for physical consultation (95% CI) 0.42 (0.04, 5.04), P =0.49] or SLEDAI-2k at the next visit [estimate of coefficient for physical consultation (95% CI) −0.19 (−0.80, 0.43), P =0.55]. Adjustments of prednisolone dosages were comparable between the two forms of visits [OR for physical consultation (95% CI) 1.34 (0.77, 2.34), P =0.30]. Conclusion SLE disease activity and flares at the subsequent visit were similar between teleconsultations and physical consultations. Medication prescription behaviour, determined using adjustment in corticosteroid dosages, was not different between the two forms of visits.


PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257500
Author(s):  
Peter Trinh ◽  
Donald R. Hoover ◽  
Frank A. Sonnenberg

Background Time of day has been associated with variations in certain clinical practices such as cancer screening rates. In this study, we assessed how more general process measures of physician activity, particularly rates of diagnostic test ordering and diagnostic assessments, might be affected by time of day. Methods We conducted a retrospective chart review of 3,342 appointments by 20 attending physicians at five outpatient clinics, matching appointments by physician and comparing the average diagnostic tests ordered and average diagnoses assessed per appointment in the first hour of the day versus the last hour of the day. Statistical analyses used sign tests, two-sample t-tests, Wilcoxon tests, Kruskal Wallis tests, and multivariate linear regression. Results Examining physicians individually, four and six physicians, respectively, had statistically significant first- versus last-hour differences in the number of diagnostic tests ordered and number of diagnoses assessed per patient visit (p ≤ 0.04). As a group, 16 of 20 physicians ordered more tests on average in the first versus last hour (p = 0.012 for equal chance to order more in each time period). Substantial intra-clinic heterogeneity was found in both outcomes for four of five clinics (p < 0.01). Conclusions There is some statistical evidence on an individual and group level to support the presence of time-of-day effects on the number of diagnostic tests ordered per patient visit. These findings suggest that time of day may be a factor influencing fundamental physician behavior and processes. Notably, many physicians exhibited significant variation in the primary outcomes compared to same-specialty peers. Additional work is necessary to clarify temporal and inter-physician variation in the outcomes of interest.


2021 ◽  
Vol 6 (2) ◽  
pp. 82-84
Author(s):  
Supriya Jassal ◽  
Alvi Fatima ◽  
Akshun S Gupta ◽  
Faiz Khan ◽  
Priyanka Jamwal

Pain if found to be the prime most factor for most of the patients to visit the dental clinic. Pain can be associated to different reasons, might be due to periodontal reason, due to local infection, due to any oral surgical trauma, due to any peri apical infection, due to impingement of the prostheses to the soft tissue. But most often patient visit to the dental clinic with the pain associated with endodontic reason. So one should have an adequate knowledge to differentiate between the main cause of the endodontic pain and to diagnose the same with a proper treatment plan.


2021 ◽  
Vol 18 (2) ◽  
pp. 216
Author(s):  
LENA WIJAYANINGRUM ◽  
HERIN SETIANINGSIH ◽  
SETIYONO SETIYONO

<div class="WordSection1"><p><strong>Background </strong>: The high number of patient visits to medical rehabilitation clinic, from January to June 2018 is 13.772 patients, the number of patients from July to December 2018 is 11.142 patients, and the number of patients from januari to july 2019 is 13.781 patients.Therefore it is important to know the continuity of service, as planned by medical rehabilitation specialist.</p><p><strong>Methode </strong>: Descriptive research with population was obtained in medical record for duration 1 December 2019 to 29 February 2020 in the medical rehabilitation clinic of Dr Ramelan Surabaya</p><p><strong>Result</strong> : Patient visits that dropped out in 3 months were 795 patients (less than 10 visit in 3 months ). Patient visits that did not drop out in 3 months were 194 patients more than or equal to 10 visits in 3 months</p><p><strong>Conclusion </strong>: The incidence of patient drop out for planned rehabilitation services is 80,3842%. So the incidence of patient drop-out for planned rehabilitation services is not meeting the standards.</p><p> </p><p><strong>Key words </strong>: Drop Out, Patient Visit, medical rehabilitation clinic</p></div>


Retina ◽  
2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Charles C. Lin ◽  
Angela S. Li ◽  
Hung Ma ◽  
Xiaomei Lin ◽  
Montserrate Zamora Olivares ◽  
...  

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