Browsing by Author "Corsino, Leonor"
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Item Open Access A feasibility study to develop and test a Spanish patient and provider intervention for managing osteoarthritis in Hispanic/Latino adults (PRIMO-Latino).(Pilot and feasibility studies, 2018-01) Corsino, Leonor; Coffman, Cynthia J; Stanwyck, Catherine; Oddone, Eugene Z; Bosworth, Hayden B; Chatterjee, Ranee; Jeffreys, Amy S; Dolor, Rowena J; Allen, Kelli DBackground
Arthritis affects approximately 50 million adults in the USA. Hispanics/Latinos have a higher prevalence of arthritis-attributed activity limitations primarily related to osteoarthritis (OA). Hispanic/Latinos are less likely to receive hip replacement independent of health care access, and they are less likely to receive knee replacement. There have been few interventions to improve OA treatment among the Hispanic/Latino population in the USA. In our study, we aimed to develop and test a telephone delivered culturally appropriate Spanish behavioral intervention for the management of OA in Hispanic/Latino adults.Methods
We conducted a feasibility study in an academic health center and local community in Durham, North Carolina. We enrolled self-identified Spanish speaking overweight/obese adults (≥ 18) with OA of the knee and/or hip under the care of a primary health care provider. The 12-month patient intervention focused on physical activity, weight management, and cognitive behavioral pain management skills. The patient intervention was delivered via telephone with calls scheduled twice per month for the first 6 months, then monthly for the last 6 months (18 sessions). The one-time provider intervention included delivery of patient-specific OA treatment recommendations, based on patients' baseline data and published guidelines. The primary measures were metrics of feasibility, including recruitment and intervention delivery. We also assessed pain, stiffness, and function using the Spanish-Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC).Results
A total of 1879 participants were identified for potential enrollment. Of those, 1864 did not meet inclusion criteria, were not able to be reached or refused. Fifteen participants enrolled in the intervention. The mean number of phone calls completed was 14.7. Eighty percent completed more than 16 calls. The mean WOMAC baseline score (SD) was 39 (20); mean improvement in WOMAC scores between baseline and 12 months, among 11 participants who completed the study, was - 13.27 [95% CI, - 25.09 to - 1.46] points.Conclusion
Recruitment of Hispanics/Latinos, continues to be a major challenge. A Spanish-based telephone delivering lifestyle intervention for OA management in Hispanic/Latino adults is feasible to deliver and may lead to improved OA symptoms. Future research is needed to further test the feasibility and effectiveness of this type of intervention in this segment of the population.Trial registration
NCT01782417.Item Open Access Adaptive intervention design in mobile health: Intervention design and development in the Cell Phone Intervention for You trial.(Clin Trials, 2015-12) Lin, Pao-Hwa; Intille, Stephen; Bennett, Gary; Bosworth, Hayden B; Corsino, Leonor; Voils, Corrine; Grambow, Steven; Lazenka, Tony; Batch, Bryan C; Tyson, Crystal; Svetkey, Laura PBACKGROUND/AIMS: The obesity epidemic has spread to young adults, and obesity is a significant risk factor for cardiovascular disease. The prominence and increasing functionality of mobile phones may provide an opportunity to deliver longitudinal and scalable weight management interventions in young adults. The aim of this article is to describe the design and development of the intervention tested in the Cell Phone Intervention for You study and to highlight the importance of adaptive intervention design that made it possible. The Cell Phone Intervention for You study was a National Heart, Lung, and Blood Institute-sponsored, controlled, 24-month randomized clinical trial comparing two active interventions to a usual-care control group. Participants were 365 overweight or obese (body mass index≥25 kg/m2) young adults. METHODS: Both active interventions were designed based on social cognitive theory and incorporated techniques for behavioral self-management and motivational enhancement. Initial intervention development occurred during a 1-year formative phase utilizing focus groups and iterative, participatory design. During the intervention testing, adaptive intervention design, where an intervention is updated or extended throughout a trial while assuring the delivery of exactly the same intervention to each cohort, was employed. The adaptive intervention design strategy distributed technical work and allowed introduction of novel components in phases intended to help promote and sustain participant engagement. Adaptive intervention design was made possible by exploiting the mobile phone's remote data capabilities so that adoption of particular application components could be continuously monitored and components subsequently added or updated remotely. RESULTS: The cell phone intervention was delivered almost entirely via cell phone and was always-present, proactive, and interactive-providing passive and active reminders, frequent opportunities for knowledge dissemination, and multiple tools for self-tracking and receiving tailored feedback. The intervention changed over 2 years to promote and sustain engagement. The personal coaching intervention, alternatively, was primarily personal coaching with trained coaches based on a proven intervention, enhanced with a mobile application, but where all interactions with the technology were participant-initiated. CONCLUSION: The complexity and length of the technology-based randomized clinical trial created challenges in engagement and technology adaptation, which were generally discovered using novel remote monitoring technology and addressed using the adaptive intervention design. Investigators should plan to develop tools and procedures that explicitly support continuous remote monitoring of interventions to support adaptive intervention design in long-term, technology-based studies, as well as developing the interventions themselves.Item Open Access Cell phone intervention for you (CITY): A randomized, controlled trial of behavioral weight loss intervention for young adults using mobile technology.(Obesity (Silver Spring, Md.), 2015-11) Svetkey, Laura P; Batch, Bryan C; Lin, Pao-Hwa; Intille, Stephen S; Corsino, Leonor; Tyson, Crystal C; Bosworth, Hayden B; Grambow, Steven C; Voils, Corrine; Loria, Catherine; Gallis, John A; Schwager, Jenifer; Bennett, Gary GObjective
To determine the effect on weight of two mobile technology-based (mHealth) behavioral weight loss interventions in young adults.Methods
Randomized, controlled comparative effectiveness trial in 18- to 35-year-olds with BMI ≥ 25 kg/m(2) (overweight/obese), with participants randomized to 24 months of mHealth intervention delivered by interactive smartphone application on a cell phone (CP); personal coaching enhanced by smartphone self-monitoring (PC); or Control.Results
The 365 randomized participants had mean baseline BMI of 35 kg/m(2) . Final weight was measured in 86% of participants. CP was not superior to Control at any measurement point. PC participants lost significantly more weight than Controls at 6 months (net effect -1.92 kg [CI -3.17, -0.67], P = 0.003), but not at 12 and 24 months.Conclusions
Despite high intervention engagement and study retention, the inclusion of behavioral principles and tools in both interventions, and weight loss in all treatment groups, CP did not lead to weight loss, and PC did not lead to sustained weight loss relative to Control. Although mHealth solutions offer broad dissemination and scalability, the CITY results sound a cautionary note concerning intervention delivery by mobile applications. Effective intervention may require the efficiency of mobile technology, the social support and human interaction of personal coaching, and an adaptive approach to intervention design.Item Open Access Clinic variation in recruitment metrics, patient characteristics and treatment use in a randomized clinical trial of osteoarthritis management.(BMC musculoskeletal disorders, 2014-12) Allen, Kelli D; Bosworth, Hayden B; Chatterjee, Ranee; Coffman, Cynthia J; Corsino, Leonor; Jeffreys, Amy S; Oddone, Eugene Z; Stanwyck, Catherine; Yancy, William S; Dolor, Rowena JBackground
The Patient and PRovider Interventions for Managing Osteoarthritis (OA) in Primary Care (PRIMO) study is one of the first health services trials targeting OA in a multi-site, primary care network. This multi-site approach is important for assessing generalizability of the interventions. These analyses describe heterogeneity in clinic and patient characteristics, as well as recruitment metrics, across PRIMO study clinics.Methods
Baseline data were obtained from the PRIMO study, which enrolled n = 537 patients from ten Duke Primary Care practices. The following items were examined across clinics with descriptive statistics: (1) Practice Characteristics, including primary care specialty, numbers and specialties of providers, numbers of patients age 55+, urban/rural location and county poverty level; (2) Recruitment Metrics, including rates of eligibility, refusal and randomization; (3) Participants' Characteristics, including demographic and clinical data (general and OA-related); and (4) Participants' Self-Reported OA Treatment Use, including pharmacological and non-pharmacological therapies. Intraclass correlation coefficients (ICCs) were computed for participant characteristics and OA treatment use to describe between-clinic variation.Results
Study clinics varied considerably across all measures, with notable differences in numbers of patients age 55+ (1,507-5,400), urban/rural location (ranging from "rural" to "small city"), and proportion of county households below poverty level (12%-26%). Among all medical records reviewed, 19% of patients were initially eligible (10%-31% across clinics), and among these, 17% were randomized into the study (13%-21% across clinics). There was considerable between-clinic variation, as measured by the ICC (>0.01), for the following patient characteristics and OA treatment use variables: age (means: 60.4-66.1 years), gender (66%-88% female), race (16%-61% non-white), low income status (5%-27%), presence of hip OA (26%-68%), presence both knee and hip OA (23%-61%), physical therapy for knee OA (24%-61%) and hip OA (0%-71%), and use of knee brace with metal supports (0%-18%).Conclusions
Although PRIMO study sites were part of one primary care practice network in one health care system, clinic and patient characteristics varied considerably, as did OA treatment use. This heterogeneity illustrates the importance of including multiple, diverse sites in trials for knee and hip OA, to enhance the generalizability and evaluate potential for real-world implementation.Trial registration
Clinical trial registration number
NCT 01435109.Item Open Access Designing and Implementing a Community-Engaged Research e-Library: A Case Study for Adapting Academic Library Information Infrastructure to Respond to Stakeholder Needs(College and Research Libraries, 2025-01-01) Efird-Green, Lea; Marion, Eve; Gierisch, Jennifer; Willis, Diane; Corsino, LeonorItem Open Access Erratum: Cell phone intervention for you (CITY): A randomized, controlled trial of behavioral weight loss intervention for young adults using mobile technology.(Obesity (Silver Spring, Md.), 2016-02) Svetkey, Laura P; Batch, Bryan C; Lin, Pao-Hwa; Intille, Stephen S; Corsino, Leonor; Tyson, Crystal C; Bosworth, Hayden B; Grambow, Steven C; Voils, Corrine; Loria, Catherine; Gallis, John A; Schwager, Jenifer; Bennett, Gary GItem Open Access Improving health engagement and lifestyle management for breast cancer survivors with diabetes.(Contemporary clinical trials, 2020-05) Shelby, Rebecca A; Dorfman, Caroline S; Arthur, Sarah S; Bosworth, Hayden B; Corsino, Leonor; Sutton, Linda; Owen, Lynda; Erkanli, Alaattin; Keefe, Francis; Corbett, Cheyenne; Kimmick, GretchenBreast cancer survivors with type 2 diabetes are at high risk for cancer recurrence, serious health complications, more severe symptoms, psychological distress, and premature death relative to breast cancer survivors without diabetes. Maintaining glycemic control is critical for decreasing symptoms and preventing serious health problems. Many breast cancer survivors with type 2 diabetes have difficulty maintaining diabetes self-management behaviors and achieving glycemic control. Both cancer and diabetes-related symptoms (e.g., physical symptoms and psychological distress) are often barriers to engaging in diabetes self-management strategies. This study evaluates a novel diabetes coping skills training (DCST) intervention for improving breast cancer survivors' abilities to manage symptoms and adhere to recommended diabetes self-management behaviors. The telephone-based DCST protocol integrates three key theory-based strategies: coping skills training for managing symptoms, adherence skills training, and healthy lifestyle skills training. A randomized clinical trial will test the DCST intervention plus diabetes education by comparing it to diabetes education alone. Symptoms, distress, diabetes self-management behaviors, and self-efficacy will be assessed at baseline and 3, 6, and 12 months. Glycosylated hemoglobin (HbA1c) will be assessed at baseline, 6, and 12 months. This study addresses a critical gap in the care of breast cancer survivors by evaluating a novel behavioral intervention to improve the management of symptoms, adherence, and glycemic control in breast cancer survivors with type 2 diabetes. Special considerations for this medically underserved population are also provided. The findings of this study could lead to significant improvements in clinical care and beneficial outcomes for breast cancer survivors. Trials registration: ClinicalTrials.gov, NCT02970344, registered 11/22/2016.Item Open Access Innovative interventions to promote behavioral change in overweight or obese individuals: A review of the literature.(Annals of medicine, 2015-05) Okorodudu, Daniel E; Bosworth, Hayden B; Corsino, LeonorThe overweight and obesity trends have risen over the past few decades, placing significant burdens on health care in terms of increased morbidity and cost. Behavioral change therapy is an effective treatment strategy and includes goal setting, self-monitoring, problem solving, and reinforcement tactics. Traditionally, behavior change therapy has been delivered using face-to-face counseling along with paper and pen recording of dietary intake and physical activity. The current advances in technology provide opportunities to deliver interventions using cellphones, internet, and active video games. These new methods to deliver behavior change for the management and prevention of obesity are being developed in order to increase access, improve convenience, decrease cost, and increase participant engagement. In this review, we present new approaches to promote behavior changes in the management of obesity. Currently available data show promising results. However, future research is needed to address study limitations and implementation challenges of these innovative interventions.Item Open Access Patient, Provider, and Combined Interventions for Managing Osteoarthritis in Primary Care: A Cluster Randomized Trial.(Annals of internal medicine, 2017-03) Allen, Kelli D; Oddone, Eugene Z; Coffman, Cynthia J; Jeffreys, Amy S; Bosworth, Hayden B; Chatterjee, Ranee; McDuffie, Jennifer; Strauss, Jennifer L; Yancy, William S; Datta, Santanu K; Corsino, Leonor; Dolor, Rowena JBackground
A single-site study showed that a combined patient and provider intervention improved outcomes for patients with knee osteoarthritis, but it did not assess separate effects of the interventions.Objective
To examine whether patient-based, provider-based, and patient-provider interventions improve osteoarthritis outcomes.Design
Cluster randomized trial with assignment to patient, provider, and patient-provider interventions or usual care. (ClinicalTrials.gov: NCT01435109).Setting
10 Duke University Health System community-based primary care clinics.Participants
537 outpatients with symptomatic hip or knee osteoarthritis.Intervention
The telephone-based patient intervention focused on weight management, physical activity, and cognitive behavioral pain management. The provider intervention involved electronic delivery of patient-specific osteoarthritis treatment recommendations to providers.Measurements
The primary outcome was the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) total score at 12 months. Secondary outcomes were objective physical function (Short Physical Performance Battery) and depressive symptoms (Patient Health Questionnaire). Linear mixed models assessed the difference in improvement among groups.Results
No difference was observed in WOMAC score changes from baseline to 12 months in the patient (-1.5 [95% CI, -5.1 to 2.0]; P = 0.40), provider (2.5 [CI, -0.9 to 5.9]; P = 0.152), or patient-provider (-0.7 [CI, -4.2 to 2.8]; P = 0.69) intervention groups compared with usual care. All groups had improvements in WOMAC scores at 12 months (range, -3.7 to -7.7). In addition, no differences were seen in objective physical function or depressive symptoms at 12 months in any of the intervention groups compared with usual care.Limitations
The study involved 1 health care network. Data on provider referrals were not collected.Conclusion
Contrary to a previous study of a combined patient and provider intervention for osteoarthritis in a Department of Veterans Affairs medical center, this study found no statistically significant improvements in the osteoarthritis intervention groups compared with usual care.Primary funding source
National Institute of Arthritis and Musculoskeletal and Skin Diseases.Item Open Access Recruiting young adults into a weight loss trial: report of protocol development and recruitment results.(Contemp Clin Trials, 2013-07) Corsino, Leonor; Lin, Pao-Hwa; Batch, Bryan C; Intille, Stephen; Grambow, Steven C; Bosworth, Hayden B; Bennett, Gary G; Tyson, Crystal; Svetkey, Laura P; Voils, Corrine IObesity has spread to all segments of the U.S. population. Young adults, aged 18-35 years, are rarely represented in clinical weight loss trials. We conducted a qualitative study to identify factors that may facilitate recruitment of young adults into a weight loss intervention trial. Participants were 33 adults aged 18-35 years with BMI ≥25 kg/m(2). Six group discussions were conducted using the nominal group technique. Health, social image, and "self" factors such as emotions, self-esteem, and confidence were reported as reasons to pursue weight loss. Physical activity, dietary intake, social support, medical intervention, and taking control (e.g. being motivated) were perceived as the best weight loss strategies. Incentives, positive outcomes, education, convenience, and social support were endorsed as reasons young adults would consider participating in a weight loss study. Incentives, advertisement, emphasizing benefits, and convenience were endorsed as ways to recruit young adults. These results informed the Cellphone Intervention for You (CITY) marketing and advertising, including message framing and advertising avenues. Implications for recruitment methods are discussed.Item Open Access Short-term effects of the DASH diet in adults with moderate chronic kidney disease: a pilot feeding study.(Clinical kidney journal, 2016-08) Tyson, Crystal C; Lin, Pao-Hwa; Corsino, Leonor; Batch, Bryan C; Allen, Jenifer; Sapp, Shelly; Barnhart, Huiman; Nwankwo, Chinazo; Burroughs, Jasmine; Svetkey, Laura PAlthough the Dietary Approaches to Stop Hypertension (DASH) diet lowers blood pressure (BP) for adults with normal kidney function, evidence is lacking regarding its safety and efficacy in chronic kidney disease (CKD). We aimed to test the effects of the DASH diet on serum electrolytes and BP in adults with moderate CKD.In a prospective before-after feeding study, 11 adults with an estimated glomerular filtration rate of 30-59 mL/min/1.73 m(2) and medication-treated hypertension were provided a reduced-sodium, run-in diet for 1 week followed by a reduced-sodium, DASH diet for 2 weeks. Changes in serum electrolytes and BP were compared pre-post DASH.Eleven participants underwent feeding; 1 completed 1 week and 10 completed 2 weeks of DASH. Compared with baseline, DASH modestly increased serum potassium at 1 week (mean ± standard deviation, +0.28 ± 0.4 mg/dL; P = 0.043) but had no significant effect on potassium at 2 weeks (+0.15 ± 0.28 mg/dL; P = 0.13). Serum bicarbonate was reduced (-2.5 ± 3.0 mg/dL; P = 0.03) at 2 weeks. Neither incident hyperkalemia nor new onset metabolic acidosis was observed. Clinic BP and mean 24-h ambulatory BP was unchanged. DASH significantly reduced mean nighttime BP (-5.3 ± 5.8 mmHg; P = 0.018), and enhanced percent declines in both nocturnal systolic BP (-2.1% to -5.1%; P = 0.004) and diastolic BP (-3.7% to -10.0%; P = 0.008).These pilot data suggest that a reduced-sodium DASH dietary pattern does not cause acute metabolic events in adults with moderate CKD and may improve nocturnal BP. Definitive studies are needed to determine long-term effects of DASH in CKD.Item Open Access Testing a behavioral intervention to improve adherence to adjuvant endocrine therapy (AET).(Contemporary clinical trials, 2019-01) Shelby, Rebecca A; Dorfman, Caroline S; Bosworth, Hayden B; Keefe, Francis; Sutton, Linda; Owen, Lynda; Corsino, Leonor; Erkanli, Alaattin; Reed, Shelby D; Arthur, Sarah S; Somers, Tamara; Barrett, Nadine; Huettel, Scott; Gonzalez, Juan Marcos; Kimmick, GretchenAdjuvant endocrine therapy (AET) is used to prevent recurrence and reduce mortality for women with hormone receptor positive breast cancer. Poor adherence to AET is a significant problem and contributes to increased medical costs and mortality. A variety of problematic symptoms associated with AET are related to non-adherence and early discontinuation of treatment. The goal of this study is to test a novel, telephone-based coping skills training that teaches patients adherence skills and techniques for coping with problematic symptoms (CST-AET). Adherence to AET will be assessed in real-time for 18 months using wireless smart pill bottles. Symptom interference (i.e., pain, vasomotor symptoms, sleep problems, vaginal dryness) and cost-effectiveness of the intervention protocol will be examined as secondary outcomes. Participants (N = 400) will be recruited from a tertiary care medical center or community clinics in medically underserved or rural areas. Participants will be randomized to receive CST-AET or a general health education intervention (comparison condition). CST-AET includes ten nurse-delivered calls delivered over 6 months. CST-AET provides systematic training in coping skills for managing symptoms that interfere with adherence. Interactive voice messaging provides reinforcement for skills use and adherence that is tailored based on real-time adherence data from the wireless smart pill bottles. Given the high rates of non-adherence and recent recommendations that women remain on AET for 10 years, we describe a timely trial. If effective, the CST-AET protocol may not only reduce the burden of AET use but also lead to cost-effective changes in clinical care and improve breast cancer outcomes. Trials registration: ClinicalTrials.gov, NCT02707471, registered 3/3/2016.Item Open Access The Association Between Engagement and Weight Loss Through Personal Coaching and Cell Phone Interventions in Young Adults: Randomized Controlled Trial (Preprint)(2018-03-22) Lin, Pao-Hwa; Grambow, Steven; Intille, Stephen; Gallis, John A; Lazenka, Tony; Bosworth, Hayden; Voils, Corrine L; Bennett, Gary G; Batch, Bryan; Allen, Jenifer; Corsino, Leonor; Tyson, Crystal; Svetkey, LauraBACKGROUNDUnderstanding how engagement in mobile health (mHealth) weight loss interventions relates to weight change may help develop effective intervention strategies.
OBJECTIVEThis study aims to examine the (1) patterns of participant engagement overall and with key intervention components within each intervention arm in the Cell Phone Intervention For You (CITY) trial; (2) associations of engagement with weight change; and (3) participant characteristics related to engagement.
METHODSThe CITY trial tested two 24-month weight loss interventions. One was delivered with a smartphone app (cell phone) containing 24 components (weight tracking, etc) and included prompting by the app in predetermined frequency and forms. The other was delivered by a coach via monthly calls (personal coaching) supplemented with limited app components (18 overall) and without any prompting by the app. Engagement was assessed by calculating the percentage of days each app component was used and the frequency of use. Engagement was also examined across 4 weight change categories: gained (≥2%), stable (±2%), mild loss (≥2% to <5%), and greater loss (≥5%).
RESULTSData from 122 cell phone and 120 personal coaching participants were analyzed. Use of the app was the highest during month 1 for both arms; thereafter, use dropped substantially and continuously until the study end. During the first 6 months, the mean percentage of days that any app component was used was higher for the cell phone arm (74.2%, SD 20.1) than for the personal coaching arm (48.9%, SD 22.4). The cell phone arm used the apps an average of 5.3 times/day (SD 3.1), whereas the personal coaching participants used them 1.7 times/day (SD 1.2). Similarly, the former self-weighed more than the latter (57.1% days, SD 23.7 vs 32.9% days, SD 23.3). Furthermore, the percentage of days any app component was used, number of app uses per day, and percentage of days self-weighed all showed significant differences across the 4 weight categories for both arms. Pearson correlation showed a negative association between weight change and the percentage of days any app component was used (cell phone: r=−.213; personal coaching: r=−.319), number of apps use per day (cell phone: r=−.264; personal coaching: r=−.308), and percentage of days self-weighed (cell phone: r=−.297; personal coaching: r=−.354). None of the characteristics examined, including age, gender, race, education, income, energy expenditure, diet quality, and hypertension status, appeared to be related to engagement.
CONCLUSIONSEngagement in CITY intervention was associated with weight loss during the first 6 months. Nevertheless, engagement dropped substantially early on for most intervention components. Prompting may be helpful initially. More flexible and less intrusive prompting strategies may be needed during different stages of an intervention to increase or sustain engagement. Future studies should explore the motivations for engagement and nonengagement to determine meaningful levels of engagement required for effective intervention.
CLINICALTRIALClinicalTrials.gov NCT01092364; https://clinicaltrials.gov/ct2/show/NCT01092364 (Archived by WebCite at http://www.webcitation.org/72V8A4e5X)
Item Open Access The Association Between Engagement and Weight Loss Through Personal Coaching and Cell Phone Interventions in Young Adults: Randomized Controlled Trial.(JMIR mHealth and uHealth, 2018-10) Lin, Pao-Hwa; Grambow, Steven; Intille, Stephen; Gallis, John A; Lazenka, Tony; Bosworth, Hayden; Voils, Corrine L; Bennett, Gary G; Batch, Bryan; Allen, Jenifer; Corsino, Leonor; Tyson, Crystal; Svetkey, LauraBackground
Understanding how engagement in mobile health (mHealth) weight loss interventions relates to weight change may help develop effective intervention strategies.Objective
This study aims to examine the (1) patterns of participant engagement overall and with key intervention components within each intervention arm in the Cell Phone Intervention For You (CITY) trial; (2) associations of engagement with weight change; and (3) participant characteristics related to engagement.Methods
The CITY trial tested two 24-month weight loss interventions. One was delivered with a smartphone app (cell phone) containing 24 components (weight tracking, etc) and included prompting by the app in predetermined frequency and forms. The other was delivered by a coach via monthly calls (personal coaching) supplemented with limited app components (18 overall) and without any prompting by the app. Engagement was assessed by calculating the percentage of days each app component was used and the frequency of use. Engagement was also examined across 4 weight change categories: gained (≥2%), stable (±2%), mild loss (≥2% to <5%), and greater loss (≥5%).Results
Data from 122 cell phone and 120 personal coaching participants were analyzed. Use of the app was the highest during month 1 for both arms; thereafter, use dropped substantially and continuously until the study end. During the first 6 months, the mean percentage of days that any app component was used was higher for the cell phone arm (74.2%, SD 20.1) than for the personal coaching arm (48.9%, SD 22.4). The cell phone arm used the apps an average of 5.3 times/day (SD 3.1), whereas the personal coaching participants used them 1.7 times/day (SD 1.2). Similarly, the former self-weighed more than the latter (57.1% days, SD 23.7 vs 32.9% days, SD 23.3). Furthermore, the percentage of days any app component was used, number of app uses per day, and percentage of days self-weighed all showed significant differences across the 4 weight categories for both arms. Pearson correlation showed a negative association between weight change and the percentage of days any app component was used (cell phone: r=-.213; personal coaching: r=-.319), number of apps use per day (cell phone: r=-.264; personal coaching: r=-.308), and percentage of days self-weighed (cell phone: r=-.297; personal coaching: r=-.354). None of the characteristics examined, including age, gender, race, education, income, energy expenditure, diet quality, and hypertension status, appeared to be related to engagement.Conclusions
Engagement in CITY intervention was associated with weight loss during the first 6 months. Nevertheless, engagement dropped substantially early on for most intervention components. Prompting may be helpful initially. More flexible and less intrusive prompting strategies may be needed during different stages of an intervention to increase or sustain engagement. Future studies should explore the motivations for engagement and nonengagement to determine meaningful levels of engagement required for effective intervention.Trial registration
ClinicalTrials.gov NCT01092364; https://clinicaltrials.gov/ct2/show/NCT01092364 (Archived by WebCite at http://www.webcitation.org/72V8A4e5X).Item Open Access The Impact of Racial Bias in Patient Care and Medical Education: Let's Focus on the Educator.(MedEdPORTAL : the journal of teaching and learning resources, 2021-01) Corsino, Leonor; Railey, Kenyon; Brooks, Katherine; Ostrovsky, Daniel; Pinheiro, Sandro O; McGhan-Johnson, Alyson; Padilla, Blanca IrisIntroduction
Racial bias in health care is well documented. Research shows the presence of racial bias among health care providers. There is a paucity of workshops focused on racial bias effects in health professions educators.Method
Two to three workshops were delivered to a diverse group of clinical educators from three programs at a major academic institution. Each workshop included a brief multimedia presentation followed by a facilitated group discussion. Participants completed the online Implicit Association Test (IAT), a baseline demographic questionnaire, and a brief post-then-pre questionnaire.Results
Twenty-four faculty participated in the study (six physicians, eight nurse practitioners, 10 physician assistants). Nineteen (90%) were women, 18 (86%) were White, nine (43%) had more than 10 years of experience as educators, and seven (35%) had previously participated in a biases program. Seventeen completed the IAT. Sixteen educators agreed or strongly agreed that bias has a significant impact on patients' outcomes at the end of the workshop compared to 17 before the workshop. Seventeen educators agreed or strongly agreed that recognizing their own racial bias would positively alter their teaching practice after the workshop compared to 15 before the workshop.Discussion
This series of workshops was created to fill a gap regarding the impact of racial bias on patient outcomes, health disparities, and health professions education. The impact of racial bias in health professions education and the long-term impact of awareness and knowledge of racial bias in education are areas needing further evaluation.Item Open Access The Latino Health Project: pilot testing a culturally adapted behavioral weight loss intervention in obese and overweight Latino adults.(Ethnicity & disease, 2012-01) Corsino, Leonor; Rocha-Goldberg, María Pilar; Batch, Bryan C; Ortiz-Melo, David I; Bosworth, Hayden B; Svetkey, Laura PObjective
To pilot test a culturally adapted behavioral weight loss intervention in obese and overweight Latino adults.Design
Pilot study.Setting
Latino community organization in Durham, North Carolina.Participants
Overweight and obese, self-identified Latinos > or =18 years old.Intervention
Intervention consisted of 20 weekly group sessions (90-120 minutes each) incorporating motivational interviewing techniques. The intervention goal was weight loss by adopting the Dietary Approach to Stop Hypertension (DASH) dietary pattern, increasing physical activity, and reducing caloric intake. The cultural adaptation included foods and physical activities commonly used in the Latino culture, using a Spanish-speaking interventionist, and conducting the intervention at a local Latino community organization.Main outcome measures
Weight, body mass index (BMI), blood pressure, dietary pattern, and physical activity were measured at baseline and at 20 weeks.Results
A total of 56 participants are included in the final analysis. The average weight loss was 5.1 lbs (95% CI -8.7 to -1.5; P = .006); and there was a reduction in BMI of 1.3 kg/m2 (95% CI -2.2 to -0.5; P =.002) at 20 weeks. Systolic blood pressure decreased by 2.6 mm Hg (95% CI -4.7 to -0.6; P = .013).Conclusion
A culturally adapted behavioral intervention for the treatment of overweight and obesity is potentially effective in a diverse group of Latino adults.Item Open Access Weight loss intervention for young adults using mobile technology: design and rationale of a randomized controlled trial - Cell Phone Intervention for You (CITY).(Contemp Clin Trials, 2014-03) Batch, Bryan C; Tyson, Crystal; Bagwell, Jacqueline; Corsino, Leonor; Intille, Stephen; Lin, Pao-Hwa; Lazenka, Tony; Bennett, Gary; Bosworth, Hayden B; Voils, Corrine; Grambow, Steven; Sutton, Aziza; Bordogna, Rachel; Pangborn, Matthew; Schwager, Jenifer; Pilewski, Kate; Caccia, Carla; Burroughs, Jasmine; Svetkey, Laura PBACKGROUND: The obesity epidemic has spread to young adults, leading to significant public health implications later in adulthood. Intervention in early adulthood may be an effective public health strategy for reducing the long-term health impact of the epidemic. Few weight loss trials have been conducted in young adults. It is unclear what weight loss strategies are beneficial in this population. PURPOSE: To describe the design and rationale of the NHLBI-sponsored Cell Phone Intervention for You (CITY) study, which is a single center, randomized three-arm trial that compares the impact on weight loss of 1) a behavioral intervention that is delivered almost entirely via cell phone technology (Cell Phone group); and 2) a behavioral intervention delivered mainly through monthly personal coaching calls enhanced by self-monitoring via cell phone (Personal Coaching group), each compared to 3) a usual care, advice-only control condition. METHODS: A total of 365 community-dwelling overweight/obese adults aged 18-35 years were randomized to receive one of these three interventions for 24 months in parallel group design. Study personnel assessing outcomes were blinded to group assignment. The primary outcome is weight change at 24 [corrected] months. We hypothesize that each active intervention will cause more weight loss than the usual care condition. Study completion is anticipated in 2014. CONCLUSIONS: If effective, implementation of the CITY interventions could mitigate the alarming rates of obesity in young adults through promotion of weight loss. ClinicalTrial.gov: NCT01092364.