Shruthi Rajkumar, Elana Davidson, Michael Bell, Christina Reardon, Abby Lapolla, Maria Michelakis, Yannis Raftopoulos
{"title":"基于远程健康与面对面营养和运动干预对II型糖尿病改善和肥胖患者人力资源利用效率的影响。","authors":"Shruthi Rajkumar, Elana Davidson, Michael Bell, Christina Reardon, Abby Lapolla, Maria Michelakis, Yannis Raftopoulos","doi":"10.1002/osp4.667","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims: </strong>Telehealth became a patient necessity during the COVID pandemic and evolved into a patient preference in the post-COVID era. This study compared the % total body weight loss (%TBWL), HbA1c reduction, and resource utilization among patients with obesity and diabetes who participated in lifestyle interventions with or without telehealth.</p><p><strong>Methods: </strong>A total of 150 patients with obesity and diabetes who were followed every 4-6 weeks either in-person (<i>n</i> = 83) or via telehealth (<i>n</i> = 67), were included. All patients were provided with an individualized nutritional plan that included a weight-based daily protein intake from protein supplements and food, an activity/sleep schedule-based meal times, and an aerobic exercise goal of a 2000-calorie burn/week, customized to patient's preferences, physical abilities, and comorbidities. The goal was to lose 10%TBWL. Telehealth-based follow-up required transmission via texting of weekly body composition measurements and any blood glucose levels below 100 mg/dl for medication adjustments. Weight, BMI, %TBWL, HbA1c (%), and medication effect score (MES) were compared. Patient no-show rates, number of visits, program duration, and drop-out rate were used to assess resource utilization based on cumulative staff and provider time spent (CSPTS), provider lost time (PLT) and patient spent time (PST).</p><p><strong>Results: </strong>Mean age was 47.2 ± 10.6 years and 74.6% were women. Mean Body Mass Index (BMI) decreased from 44.1 ± 7.7-39.7 ± 6.7 kg/m<sup>2</sup> (<i>p</i> < 0.0001). Mean program duration was 189.4 ± 169.3 days. An HbA1c% unit decline of 1.3 ± 1.5 was achieved with a 10.1 ± 5.1%TBWL. Diabetes was cured in 16% (24/150) of patients. %TBWL was similar in regards to telehealth or in-person appointments (10.6% ± 5.1 vs. 9.6% ± 4.9, <i>p</i> = 0.14). Age, initial BMI, MES, %TBWL, and baseline HbA1c had a significant independent effect on HbA1c reduction (<i>p</i> < 0.0001). Program duration was longer for in-person follow-up (213.8 ± 194 vs. 159.3 ± 127, <i>p</i> = 0.019). The mean annual telehealth and in-person no-show rates were 2.7% and 11.2%, respectively (<i>p</i> < 0.0001). Mean number of visits (5.7 ± 3.0 vs. 8.6 ± 5.1) and drop-out rates (16.49% vs. 25.83%) were lower in telehealth group (<i>p</i> < 0.0001). The CSPTS (440.4 ± 267.5 min vs. 200.6 ± 110.8 min), PLT (28.9 ± 17.5 min vs. 3.1 ± 1.6 min), and PST (1033 ± 628 min vs. 113.7 ± 61.4 min) were significantly longer (<i>p</i> < 0.0001) for the in-person group.</p><p><strong>Conclusions: </strong>Telehealth offered comparable %TBWL and HbA1c decline as in-person follow-up, but with a shorter follow-up, fewer appointments, and no-shows. If improved resource utilization is validated by other studies, telehealth should become the standard of care for the management of obesity and diabetes.</p>","PeriodicalId":19448,"journal":{"name":"Obesity Science & Practice","volume":"9 5","pages":"468-476"},"PeriodicalIF":1.9000,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551111/pdf/","citationCount":"0","resultStr":"{\"title\":\"Effect of telehealth-based versus in-person nutritional and exercise intervention on type II diabetes mellitus improvement and efficiency of human resources utilization in patients with obesity.\",\"authors\":\"Shruthi Rajkumar, Elana Davidson, Michael Bell, Christina Reardon, Abby Lapolla, Maria Michelakis, Yannis Raftopoulos\",\"doi\":\"10.1002/osp4.667\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Aims: </strong>Telehealth became a patient necessity during the COVID pandemic and evolved into a patient preference in the post-COVID era. This study compared the % total body weight loss (%TBWL), HbA1c reduction, and resource utilization among patients with obesity and diabetes who participated in lifestyle interventions with or without telehealth.</p><p><strong>Methods: </strong>A total of 150 patients with obesity and diabetes who were followed every 4-6 weeks either in-person (<i>n</i> = 83) or via telehealth (<i>n</i> = 67), were included. All patients were provided with an individualized nutritional plan that included a weight-based daily protein intake from protein supplements and food, an activity/sleep schedule-based meal times, and an aerobic exercise goal of a 2000-calorie burn/week, customized to patient's preferences, physical abilities, and comorbidities. The goal was to lose 10%TBWL. Telehealth-based follow-up required transmission via texting of weekly body composition measurements and any blood glucose levels below 100 mg/dl for medication adjustments. Weight, BMI, %TBWL, HbA1c (%), and medication effect score (MES) were compared. Patient no-show rates, number of visits, program duration, and drop-out rate were used to assess resource utilization based on cumulative staff and provider time spent (CSPTS), provider lost time (PLT) and patient spent time (PST).</p><p><strong>Results: </strong>Mean age was 47.2 ± 10.6 years and 74.6% were women. Mean Body Mass Index (BMI) decreased from 44.1 ± 7.7-39.7 ± 6.7 kg/m<sup>2</sup> (<i>p</i> < 0.0001). Mean program duration was 189.4 ± 169.3 days. An HbA1c% unit decline of 1.3 ± 1.5 was achieved with a 10.1 ± 5.1%TBWL. Diabetes was cured in 16% (24/150) of patients. %TBWL was similar in regards to telehealth or in-person appointments (10.6% ± 5.1 vs. 9.6% ± 4.9, <i>p</i> = 0.14). Age, initial BMI, MES, %TBWL, and baseline HbA1c had a significant independent effect on HbA1c reduction (<i>p</i> < 0.0001). Program duration was longer for in-person follow-up (213.8 ± 194 vs. 159.3 ± 127, <i>p</i> = 0.019). The mean annual telehealth and in-person no-show rates were 2.7% and 11.2%, respectively (<i>p</i> < 0.0001). Mean number of visits (5.7 ± 3.0 vs. 8.6 ± 5.1) and drop-out rates (16.49% vs. 25.83%) were lower in telehealth group (<i>p</i> < 0.0001). The CSPTS (440.4 ± 267.5 min vs. 200.6 ± 110.8 min), PLT (28.9 ± 17.5 min vs. 3.1 ± 1.6 min), and PST (1033 ± 628 min vs. 113.7 ± 61.4 min) were significantly longer (<i>p</i> < 0.0001) for the in-person group.</p><p><strong>Conclusions: </strong>Telehealth offered comparable %TBWL and HbA1c decline as in-person follow-up, but with a shorter follow-up, fewer appointments, and no-shows. If improved resource utilization is validated by other studies, telehealth should become the standard of care for the management of obesity and diabetes.</p>\",\"PeriodicalId\":19448,\"journal\":{\"name\":\"Obesity Science & Practice\",\"volume\":\"9 5\",\"pages\":\"468-476\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2023-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551111/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Obesity Science & Practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/osp4.667\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/10/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Obesity Science & Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/osp4.667","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/10/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
Effect of telehealth-based versus in-person nutritional and exercise intervention on type II diabetes mellitus improvement and efficiency of human resources utilization in patients with obesity.
Aims: Telehealth became a patient necessity during the COVID pandemic and evolved into a patient preference in the post-COVID era. This study compared the % total body weight loss (%TBWL), HbA1c reduction, and resource utilization among patients with obesity and diabetes who participated in lifestyle interventions with or without telehealth.
Methods: A total of 150 patients with obesity and diabetes who were followed every 4-6 weeks either in-person (n = 83) or via telehealth (n = 67), were included. All patients were provided with an individualized nutritional plan that included a weight-based daily protein intake from protein supplements and food, an activity/sleep schedule-based meal times, and an aerobic exercise goal of a 2000-calorie burn/week, customized to patient's preferences, physical abilities, and comorbidities. The goal was to lose 10%TBWL. Telehealth-based follow-up required transmission via texting of weekly body composition measurements and any blood glucose levels below 100 mg/dl for medication adjustments. Weight, BMI, %TBWL, HbA1c (%), and medication effect score (MES) were compared. Patient no-show rates, number of visits, program duration, and drop-out rate were used to assess resource utilization based on cumulative staff and provider time spent (CSPTS), provider lost time (PLT) and patient spent time (PST).
Results: Mean age was 47.2 ± 10.6 years and 74.6% were women. Mean Body Mass Index (BMI) decreased from 44.1 ± 7.7-39.7 ± 6.7 kg/m2 (p < 0.0001). Mean program duration was 189.4 ± 169.3 days. An HbA1c% unit decline of 1.3 ± 1.5 was achieved with a 10.1 ± 5.1%TBWL. Diabetes was cured in 16% (24/150) of patients. %TBWL was similar in regards to telehealth or in-person appointments (10.6% ± 5.1 vs. 9.6% ± 4.9, p = 0.14). Age, initial BMI, MES, %TBWL, and baseline HbA1c had a significant independent effect on HbA1c reduction (p < 0.0001). Program duration was longer for in-person follow-up (213.8 ± 194 vs. 159.3 ± 127, p = 0.019). The mean annual telehealth and in-person no-show rates were 2.7% and 11.2%, respectively (p < 0.0001). Mean number of visits (5.7 ± 3.0 vs. 8.6 ± 5.1) and drop-out rates (16.49% vs. 25.83%) were lower in telehealth group (p < 0.0001). The CSPTS (440.4 ± 267.5 min vs. 200.6 ± 110.8 min), PLT (28.9 ± 17.5 min vs. 3.1 ± 1.6 min), and PST (1033 ± 628 min vs. 113.7 ± 61.4 min) were significantly longer (p < 0.0001) for the in-person group.
Conclusions: Telehealth offered comparable %TBWL and HbA1c decline as in-person follow-up, but with a shorter follow-up, fewer appointments, and no-shows. If improved resource utilization is validated by other studies, telehealth should become the standard of care for the management of obesity and diabetes.