Tag: statistics

Fam Med. 2022 May;54(5):380-383. doi: 10.22454/FamMed.2022.968351.

ABSTRACT

BACKGROUND AND OBJECTIVES: Virtual residency interviews during the 2020 COVID-19 pandemic posed unique challenges to students and residency programs in the United States. We evaluated fourth-year medical students’ perceptions of the virtual format and social media use to help select residency programs. We also assessed applicant utilization and perceived usefulness of our social media content.

METHODS: We administered an anonymous, web-based survey study of interviewees at an urban, academic medical center residency program. We analyzed data using descriptive statistics.

RESULTS: Seventy-five of 138 applicants completed the survey (response rate 54%). Most applicants reported worry about obtaining enough information about residency programs to apply (64%) and to rank programs (87%). Though more traditional information sources remain most prevalent, social media is now widely used to research residency programs (62%).

CONCLUSIONS: Most applicants to this family medicine residency program used social media to gather information, but they expressed worry that it was enough. Virtual interviews are likely to remain postpandemic, creating challenges for residency programs and especially for their hopeful applicants. Programs seeking to provide well-rounded information for applicants should maintain a social media presence as part of their recruitment practices.

PMID:35536623 | DOI:10.22454/FamMed.2022.968351

Fam Med. 2022 May;54(5):362-363. doi: 10.22454/FamMed.2022.657132.

ABSTRACT

BACKGROUND AND OBJECTIVES: Distance learning is a feasible and effective method of delivering education, especially in rural settings. Few studies focus on remote learning in graduate medical education. This study explores remote didactic practices of rural family medicine programs in the United States.

METHODS: We conducted an electronic survey of rural family medicine residency site directors across the United States. We completed sample analyses through descriptive statistics with an emphasis on descriptions of current didactic practices, facilitators, and challenges to implementation.

RESULTS: The overall response rate was 38% (47/124) for all participants from rural residency programs, representing 28 states. About 24% of rural training track (RTT) participants reported no shared remote didactics between urban and rural sites. More than half of RTT participants (52%) reported remote virtual didactics were either not shared between urban and rural site or were shared less than 50% of the time. Top challenges to implementing remote shared didactics were lack of appropriate technology (31%) and lack of training for faculty and residents in delivery of remote didactics (31%). Top facilitators included having technology for the remote connection (54%), a faculty champion (42%), and designated time to develop the curriculum (38%).

CONCLUSIONS: There is potential for improving shared remote didactic sessions between rural and urban sites for family medicine RTTs, which may enhance efficiency of curriculum development across sites and maximize opportunities for bidirectional learning between urban and rural sites.

PMID:35536621 | DOI:10.22454/FamMed.2022.657132

Fam Med. 2022 May;54(5):343-349. doi: 10.22454/FamMed.2022.501410.

ABSTRACT

BACKGROUND AND OBJECTIVES: Public health training became particularly important for family medicine (FM) residency training programs amid the COVID-19 pandemic; the Accreditation Council for Graduate Medical Education (ACGME IV.C.19) requires a structured curriculum in which residents address population health. Our primary goal was to understand if, and to what extent, public health interventions trainings were incorporated into FM residency training programs amid the COVID-19 pandemic. We hypothesized programs with more resources (eg, university affiliates) would be better able to incorporate the training compared to those without such resources (ie, nonuniversity affiliates).

METHODS: In 2021, we incorporated items addressing COVID-19 public health training competencies into the 2021 Council of Academic Family Medicine Educational Research Alliance national survey of FM residency program directors. The items addressed the type of training provided, mode of delivery, barriers to providing training, perceived importance of training, and support in delivering training.

RESULTS: The overall survey response rate was 46.4% (n=287/619). All programs offered at least some training to residents. There were no statistically significant differences in training intensity between university and nonuniversity affiliates. The length of time an FM residency director spent in their position was positively associated with training intensity (r=0.1430, P=.0252). The biggest barrier to providing the trainings was the need to devote time to other curriculum requirements.

CONCLUSIONS: FM residency programs were able to provide some public health interventions training during the pandemic. With increased support and resources, FM resident training curricula may better prepare FM residents now in anticipation of a future pandemic.

PMID:35536619 | DOI:10.22454/FamMed.2022.501410

JMIR Hum Factors. 2022 May 10;9(2):e35065. doi: 10.2196/35065.

ABSTRACT

BACKGROUND: Cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM) are posing a huge burden on health care systems worldwide. Mobile apps can deliver behavior change interventions for chronic disease prevention on a large scale, but current evidence for their effectiveness is limited.

OBJECTIVE: This paper reported on the development and user testing of a mobile app that aims at increasing risk awareness and engaging users in behavior change. It would form part of an intervention for primary prevention of CVD and T2DM.

METHODS: The theoretical framework of the app design was based on the Behaviour Change Wheel, combined with the capability, opportunity, and motivation for behavior change system and the behavior change techniques from the Behavior Change Technique Taxonomy (version 1). In addition, evidence from scientific literature has guided the development process. The prototype was tested for user-friendliness via an iterative approach. We conducted semistructured interviews with individuals in the target populations, which included the System Usability Scale. We transcribed and analyzed the interviews using descriptive statistics for the System Usability Scale and thematic analysis to identify app features that improved utility and usability.

RESULTS: The target population was Australians aged ≥45 years. The app included 4 core modules (risk score, goal setting, health measures, and education). In these modules, users learned about their risk for CVD and T2DM; set goals for smoking, alcohol consumption, diet, and physical activity; and tracked them. In total, we included 12 behavior change techniques. We conducted 2 rounds of usability testing, each involving 5 participants. The average age of the participants was 58 (SD 8) years. Totally, 60% (6/10) of the participants owned iPhone Operating System phones, and 40% (4/10) of them owned Android phones. In the first round, we identified a technical issue that prevented 30% (3/10) of the participants from completing the registration process. Among the 70% (7/10) of participants who were able to complete the registration process, 71% (5/7) rated the app above average, based on the System Usability Scale. During the interviews, we identified some issues related to functionality, content, and language and clarity. We used the participants’ feedback to improve these aspects.

CONCLUSIONS: We developed the app using behavior change theory and scientific evidence. The user testing allowed us to identify and remove technical errors and integrate additional functions into the app, which the participants had requested. Next, we will evaluate the feasibility of the revised version of the app developed through this design process and usability testing.

PMID:35536603 | DOI:10.2196/35065

JMIR Serious Games. 2022 May 10;10(2):e36768. doi: 10.2196/36768.

ABSTRACT

BACKGROUND: The pandemic has highlighted the importance of low-threshold opportunities for exercise and physical activity. At the beginning of 2020, the COVID-19 pandemic led to many restrictions, which affected seniors in care facilities in the form of severe isolation. The isolation led, among other things, to a lack of exercise, which has led to a multitude of negative effects for this target group. Serious games can potentially help by being used anywhere at any time to strengthen skills with few resources.

OBJECTIVE: The aim of this study is to evaluate the effectiveness of a serious game to strengthen motor skills (study 1) and the influence of pandemic restrictions (study 2) on seniors in care facilities.

METHODS: The data on motor skills (measured by the Tinetti test) originated from an intervention study with repeated measurements that was interrupted by the pandemic conditions. Data were collected 4 times every 3 months with an intervention group (IG, training 3 times for 1 hour per week) and a control group (CG, no intervention). There were 2 substudies. The first considered the first 6 months until the pandemic restrictions, while the second considered the influence of the restrictions on motor skills.

RESULTS: The sample size was 70. The IG comprised 31 (44%) participants, with 22 (71%) female and 9 (29%) male seniors with an average age of 85 years. The CG comprised 39 (56%) participants, with 31 (79%) female and 8 (21%) male seniors with an average age of 87 years. In study 1, mixed-design ANOVA showed no significant interaction between measurement times and group membership for the first measurements (F_2.136=1.414, P<.25, partial η2=.044), but there was a significant difference between the CG (mean 16.23, SD 1.1) and the IG (mean 19.81, SD 1.2) at the third time of measurement (P=.02). In study 2 the mixed-design ANOVA (used to investigate motor skills before and after the pandemic conditions between the 2 groups) couldn’t reveal any significant interaction between measurement times and group membership: F_1.67=2.997, P<.09, partial η2=.043. However, there was a significant main effect of the time of measurement: F_1.67=5.44, P<.02, partial η²=.075.

CONCLUSIONS: During the first 6 months, the IG showed increased motor skills, whereas the motor skills of the CG slightly deteriorated and showed a statistically significant difference after 6 months. The pandemic restrictions leveled the difference and showed a significant negative effect on motor skills over 3 months. As our results show, digital games have the potential to break down access barriers and promote necessary maintenance for important skills. The pandemic has highlighted the importance of low-threshold opportunities for exercise and physical activity. This potentially great benefit for the challenges of tomorrow shows the relevance of the topic and demonstrates the urgent need for action and research.

TRIAL REGISTRATION: Deutsches Register klinischer Studien DRKS00016633; https://tinyurl.com/yckmj4px.

PMID:35536610 | DOI:10.2196/36768

Ann Behav Med. 2022 May 10:kaac010. doi: 10.1093/abm/kaac010. Online ahead of print.

ABSTRACT

BACKGROUND: Although previous reviews demonstrated effectiveness related to medication adherence interventions, they incorporated various digital platforms and other multiple delivery modes, which makes difficult to distinguish what aspects of the interventions led to effectiveness.

PURPOSE: This review aimed to (i) estimate the efficacy of face-to-face medication adherence interventions on adherence outcomes, in adults with Long Term Health Conditions (LTHCs) and (ii) identify the Behaviour Change Techniques (BCTs) used in the interventions and examine their potential impact on efficacy.

METHODS: Cochrane Controlled Register of Trials, Embase, MEDLINE (Ovid), PsycINFO, Web of Science, PubMed, and Scopus databases were searched. Randomized controlled trials were included if they described an intervention to improve medication adherence, delivered via face-to-face only, and included patients with LTHCs. Studies were excluded if they used additional delivery modes, involved family members or used a group format. In addition, use of BCTs was coded.

RESULTS: 20 studies were included (n = 3667). Statistically significant pooled effects were found favoring the intervention than control, for the following MEMS (electronic monitoring) measures: percentage of prescribed doses taken on time over a period of 3 weeks to 2 months (MD 9.34, 95% CI 4.36-14.33, p = .0002; I2 =0%); percentage of prescribed doses taken for a period of 1 week to 2 months (MD 5.63, 95% CI 1.62-9.64, p = .006; I2 = 51%) and for 1 month (OR = 2.51, 95% CI 1.37-4.57, p = .003; I2 = 0%); percentage of days correct doses taken for 1 month to 14 weeks (MD 6.59, 95% CI 0.74-13.15, p = .03; I2 = 68%). Studies using the Morisky scale showed a significant between group difference for 1-3 months (MD 0.86, 95% CI 0.59-1.13, p < .00001; I2 = 0%). Overall, more BCTs were identified in intervention conditions than in comparison conditions (22 vs. 10). The impact of BCTs on intervention effectiveness could not be established as the analyses were underpowered.

CONCLUSIONS: Face-to-face interventions increased adherence to medication among adult patients with LTHCs. Although we were able to identify BCTs among interventions, data were insufficient to determine the impact of particular BCTs on intervention effectiveness.

PMID:35536593 | DOI:10.1093/abm/kaac010

JAMA Netw Open. 2022 May 2;5(5):e2210331. doi: 10.1001/jamanetworkopen.2022.10331.

ABSTRACT

IMPORTANCE: Guiding treatment decisions for women with ductal carcinoma in situ (DCIS) requires understanding patient preferences and the influence of preoperative magnetic resonance imaging (MRI) and surgeon recommendation.

OBJECTIVE: To identify factors associated with surgery preference and surgery receipt among a prospective cohort of women with newly diagnosed DCIS.

DESIGN, SETTING, AND PARTICIPANTS: A prospective cohort study was conducted at 75 participating institutions, including community practices and academic centers, across the US between March 25, 2015, and April 27, 2016. Data were analyzed from August 2 to September 24, 2021. This was an ancillary study of the ECOG-ACRIN Cancer Research Group (E4112). Women with recently diagnosed unilateral DCIS who were eligible for wide local excision and had a diagnostic mammogram within 3 months of study registration were included. Participants who had documented surgery and completed the baseline patient-reported outcome questionnaires were included in this substudy.

EXPOSURES: Women received preoperative MRI and surgeon consultation and then underwent wide local excision or mastectomy. Participants will be followed up for recurrence and overall survival for 10 years from the date of surgery.

MAIN OUTCOMES AND MEASURES: Patient-reported outcome questionnaires assessed treatment goals and concerns and surgery preference before MRI and after MRI and surgeon consultation.

RESULTS: Of the 368 participants enrolled 316 (86%) were included in this substudy (median [range] age, 59.5 [34-87] years; 45 women [14%] were Black; 245 [78%] were White; and 26 [8%] were of other race). Pre-MRI, age (odds ratio [OR] per 5-year increment, 0.45; 95% CI, 0.26-0.80; P = .007) and the importance of keeping one’s breast (OR, 0.48; 95% CI, 0.31-0.72; P < .001) vs removal of the breast for peace of mind (OR, 1.35; 95% CI, 1.04-1.76; P = .03) were associated with surgery preference for mastectomy. After MRI and surgeon consultation, MRI upstaging (48 of 316 [15%]) was associated with patient preference for mastectomy (OR, 8.09; 95% CI, 2.51-26.06; P < .001). The 2 variables with the highest ORs for initial receipt of mastectomy were MRI upstaging (OR, 12.08; 95% CI, 4.34-33.61; P < .001) and surgeon recommendation (OR, 4.85; 95% CI, 1.99-11.83; P < .001).

CONCLUSIONS AND RELEVANCE: In this cohort study, change in patient preference for DCIS surgery and surgery received were responsive to MRI results and surgeon recommendation. These data highlight the importance of ensuring adequate information and ongoing communication about the clinical significance of MRI findings and the benefits and risks of available treatment options.

PMID:35536580 | DOI:10.1001/jamanetworkopen.2022.10331

Mol Divers. 2022 May 10. doi: 10.1007/s11030-022-10437-1. Online ahead of print.

ABSTRACT

Tea (Camellia sinensis L.) is considered as to be one of the most consumed beverages globally and a reservoir of phytochemicals with immense health benefits. Despite numerous advantages, tea compounds lack a robust multi-disease target study. In this work, we presented a unique in silico approach consisting of molecular docking, multivariate statistics, pharmacophore analysis, and network pharmacology approaches. Eight tea phytochemicals were identified through literature mining, namely gallic acid, catechin, epigallocatechin gallate, epicatechin, epicatechin gallate (ECG), quercetin, kaempferol, and ellagic acid, based on their richness in tea leaves. Further, exploration of databases revealed 30 target proteins related to the pharmacological properties of tea compounds and multiple associated diseases. Molecular docking experiment with eight tea compounds and all 30 proteins revealed that except gallic acid all other seven phytochemicals had potential inhibitory activities against these targets. The docking experiment was validated by comparing the binding affinities (Kcal mol^-1) of the compounds with known drug molecules for the respective proteins. Further, with the aid of the application of statistical tools (principal component analysis and clustering), we identified two major clusters of phytochemicals based on their chemical properties and docking scores (Kcal mol^-1). Pharmacophore analysis of these clusters revealed the functional descriptors of phytochemicals, related to the ligand-protein docking interactions. Tripartite network was constructed based on the docking scores, and it consisted of seven tea phytochemicals (gallic acid was excluded) targeting five proteins and ten associated diseases. Epicatechin gallate (ECG)-hepatocyte growth factor receptor (PDB id 1FYR) complex was found to be highest in docking performance (10 kcal mol^-1). Finally, molecular dynamic simulation showed that ECG-1FYR could make a stable complex in the near-native physiological condition.

PMID:35536529 | DOI:10.1007/s11030-022-10437-1

Int J Hematol. 2022 May 10. doi: 10.1007/s12185-022-03368-y. Online ahead of print.

ABSTRACT

We compared the outcomes of autologous stem cell transplantation (auto-SCT) with those of allogeneic stem cell transplantation (allo-SCT) from a human leukocyte antigen-matched related donor in patients with Philadelphia chromosome-negative B-lineage acute lymphoblastic leukemia (ALL). Newly diagnosed patients who underwent allo-SCT (n = 486) or auto-SCT (n = 99) after achieving first complete remission (CR) were included. Propensity score matching (PS) and an inverse probability of the treatment weighting (IPTW) analysis were applied to compensate for imbalances in baseline characteristics. The 5 years rates of overall survival (OS) among those in the PS-matched cohorts were 57% [95% confidence interval (CI) 46-67%] for those who received allo-SCT and 44% (95% CI 33-54%) for those who received auto-SCT. Multivariable, propensity score-matched, and IPTW analyses all revealed no statistically significant differences in OS between the two groups [hazard ratios (HR) 0.81, 95% CI 0.53-1.27, p = 0.36; HR 0.84, 95% CI 0.40-1.78, p = 0.65; HR 0.71, 95% CI 0.25-2.02, p = 0.53, respectively]. Prospective trials that include autologous transplantation as a treatment option are needed to examine the potential of autologous transplantation.

PMID:35536509 | DOI:10.1007/s12185-022-03368-y

Insights Imaging. 2022 May 10;13(1):87. doi: 10.1186/s13244-022-01227-2.

ABSTRACT

BACKGROUND: The application of deep learning has allowed significant progress in medical imaging. However, few studies have focused on the diagnosis of benign and malignant spinal tumors using medical imaging and age information at the patient level. This study proposes a multi-model weighted fusion framework (WFF) for benign and malignant diagnosis of spinal tumors based on magnetic resonance imaging (MRI) images and age information.

METHODS: The proposed WFF included a tumor detection model, sequence classification model, and age information statistic module based on sagittal MRI sequences obtained from 585 patients with spinal tumors (270 benign, 315 malignant) between January 2006 and December 2019 from the cooperative hospital. The experimental results of the WFF were compared with those of one radiologist (D1) and two spine surgeons (D2 and D3).

RESULTS: In the case of reference age information, the accuracy (ACC) (0.821) of WFF was higher than three doctors’ ACC (D1: 0.686; D2: 0.736; D3: 0.636). Without age information, the ACC (0.800) of the WFF was also higher than that of the three doctors (D1: 0.750; D2: 0.664; D3:0.614).

CONCLUSIONS: The proposed WFF is effective in the diagnosis of benign and malignant spinal tumors with complex histological types on MRI.

PMID:35536493 | DOI:10.1186/s13244-022-01227-2