Electronic data collection for the analysis of surgical maneuvers on patients submitted to rhinoplasty.
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ABSTRACT:
SUBMITTER: Berger C
PROVIDER: S-EPMC4432546 | biostudies-other | 2012 Oct
REPOSITORIES: biostudies-other
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Project description:ObjectiveElectronic data collection (EDC) has become a suitable alternative to paper based data collection (PBDC) in biomedical research even in resource poor settings. During a survey in Nepal, data were collected using both systems and data entry errors compared between both methods. Collected data were checked for completeness, values outside of realistic ranges, internal logic and date variables for reasonable time frames. Variables were grouped into 5 categories and the number of discordant entries were compared between both systems, overall and per variable category.ResultsData from 52 variables collected from 358 participants were available. Discrepancies between both data sets were found in 12.6% of all entries (2352/18,616). Differences between data points were identified in 18.0% (643/3580) of continuous variables, 15.8% of time variables (113/716), 13.0% of date variables (140/1074), 12.0% of text variables (86/716), and 10.9% of categorical variables (1370/12,530). Overall 64% (1499/2352) of all discrepancies were due to data omissions, 76.6% (1148/1499) of missing entries were among categorical data. Omissions in PBDC (n?=?1002) were twice as frequent as in EDC (n?=?497, p?<?0.001). Data omissions, specifically among categorical variables were identified as the greatest source of error. If designed accordingly, EDC can address this short fall effectively.
| S-EPMC6704619 | biostudies-literature
Project description:OBJECTIVE:To identify the perspectives of patients with rheumatoid arthritis (RA) on electronic recording of between-visit disease activity and other patient-reported outcomes (PROs) and on sharing this information with health care providers or peers. METHODS:Patients with RA were recruited to participate in focus groups from December 2014 to April 2015. The topic guide and analysis were based on the Andersen-Newman framework. Sessions were audiorecorded, transcribed, independently coded, and analyzed for themes. RESULTS:Thirty-one patients participated in 7 focus groups. Their mean ± SD age was 51 ± 13.1 years, 94% were women, 52% were African American, 11% were Hispanic, and 37% were white. Three themes emerged: provider communication, information-seeking about RA, and social and peer support. Participants expressed a willingness to track disease activity data to share with health care providers electronically if providers would act on the information. Participants envisioned symptom tracking and information sharing as a mechanism to relay and obtain reliable information about RA. Participants were also interested in electronic communication between visits if it facilitated learning about symptom management and enhanced opportunities for social support among patients with RA. CONCLUSION:Patients with RA may be amenable to electronic collection and sharing of PRO-type data between clinical encounters if it facilitates communication with health care providers and provides access to reliable information about RA. Providing patients with social support was important for enhancing PROs collection by helping them overcome barriers by using electronic devices and overcome reservations about the value of these data.
| S-EPMC6388703 | biostudies-literature
Project description:Background: Electronic data collection is increasingly available as a means to collect pain-related clinical trial data; however, effectiveness and costs relative to traditional data collection are uncertain. Aims: The aim of this study was to evaluate data quality, protocol adherence, satisfaction, and resource requirements of electronic data collection (i.e., Internet-based electronic submission) compared to traditional data collection methods (i.e., paper-based diaries and telephone interviews) in a perioperative factorial randomized controlled trial. Methods: This study was an open-label two-arm parallel randomized controlled trial. Women (18-75 years) undergoing breast cancer surgery were allocated to either electronic or traditional data collection and completed pain-related questionnaires at baseline, postoperative period, and 3-month follow-up (NCT02240199). Results: We acquired outcome data at all time points from 78 randomized patients, 38 in the electronic group and 40 in the traditional group. The number of data queries (e.g., erroneously entered data) per patient was higher in the electronic data group (4.92 [SD = 4.67] vs. 1.88 [SD = 1.51]; P < 0.001). No between-group differences were observed for compliance with medications, data completeness, loss to follow-up, or patient or research assistant satisfaction. More research assistant time per patient was spent collecting data in the traditional group (42.6 min [SD = 12.8] vs. 9.92 min [SD = 7.6]; P < 0.001); however, costs per patient were higher in the electronic group ($176.85 [SD = 2.90] vs. $16.33 [SD = 4.90]; P < 0.001). Conclusion: Electronic data collection is feasible for perioperative pain clinical trials. Additional trials, including different surgical populations, are needed to confirm our findings and optimize use of electronic data capture methods.
| S-EPMC8730625 | biostudies-literature
Project description:Introduction: Surgical gloves are used to prevent contamination of the patient and the hospital staff with pathogens. The aim of this study was to examine the actual effectiveness of gloves by examining the damage (perforations, tears) to latex gloves during surgery in the case of primary hip and knee prosthesis implantation. Materials and methods: Latex surgical gloves used by surgeons for primary hip and knee replacement surgeries were collected directly after the surgery and tested using the watertightness test according to ISO EN 455-1:2000. Results: 540 gloves were collected from 104 surgeries. In 32.7% of surgeries at least one glove was damaged. Of all the gloves collected, 10.9% were damaged, mainly on the index finger. The size of the perforations ranged from ≤1 mm to over 5 mm. The surgeon's glove size was the only factor that significantly influenced the occurrence of glove damage. Surgeon training level, procedure duration, and the use of bone cement had no significant influence. Conclusions: Our results highlight the high failure rate of surgical gloves. This has acute implications for glove production, surgical practice, and hygiene guidelines. Further studies are needed to detect the surgical steps, surface structures, and instruments that pose an increased risk for glove damage.
| S-EPMC5175006 | biostudies-other
Project description:Purpose:To evaluate the potential value of microscope-integrated optical coherence tomography (MI-OCT) in anterior segment surgical maneuvers. Methods:Twenty-four ophthalmology residents, who were randomly and evenly divided into two groups, performed four anterior segment surgical maneuvers (corneal tunnel, scleral tunnel, simple corneal suture, and corneal laceration repair) on porcine eyes with (group B) or without (group A) real-time MI-OCT feedback. All residents performed the maneuvers again without MI-OCT. Results:Compared with group A, group B (with MI-OCT) showed better accuracy in the length/depth of the corneal tunnel and the length of the scleral tunnel. However, both groups showed similar performances in the depth of both the simple corneal suture and the corneal laceration suture. When both groups performed the maneuvers again without MI-OCT, group B still showed better results than group A for the length of both the corneal and scleral tunnels. Conclusions:Primary results suggest that real-time MI-OCT images are valuable for some anterior segment surgical maneuvers and could be helpful in surgical training. Translational Relevance:MI-OCT systems can be valuable in improving accuracy and decision making during anterior segment surgery and will be useful in surgical training.
| S-EPMC7414702 | biostudies-literature
Project description:PurposeMissing data are a significant problem in clinical trials, particularly for quality of life (QOL), which cannot be obtained retrospectively. The purpose of this study was to evaluate the feasibility of an electronic web-based strategy for QOL data collection in a cooperative group radiation oncology trial setting.Methods and materialsRadiation Therapy Oncology Group (RTOG) 0828 was a prospective National Cancer Institute cooperative group companion study of RTOG-0415, a randomized study of conventional versus hypofractionated radiation. Forty-nine English-speaking patients with favorable risk prostate cancer who enrolled on RTOG-0415 consented to using web-based technology for completing QOL. In RTOG-0415, using paper forms, the 6-month QOL compliance rate was 52%. The purpose of RTOG-0828 was to test the feasibility of a web-based strategy with the goal of increasing the 6-month QOL completion rate by 25% (from 52% to 77%) for a relative improvement of ~50%. The web-based tool used in this study was VisionTree Optimal Care (VTOC; VisionTree Software, Inc, San Diego, CA), a Health-Insurance-Portability-Accountability-Act secure, online technology that allows real-time tracking and e-mail reminders. The primary endpoint was the 6-month compliance rate for the validated QOL instrument, Expanded Prostate Index Composite.ResultsThe QOL completion rate at baseline was 98%. Compared with the prior 52% QOL completion rate at 6 months using paper forms, the QOL web-based completion rate at 6 months was 90% (2-sided P value < .001). At 12 months, the EPIC completion rate was 82% (compared with 36% using paper forms).ConclusionsThis RTOG study suggests that a web-based strategy to collect QOL appears to be feasible in the cooperative group radiation oncology trial setting and is associated with an increase in the 6-month QOL compliance rate compared with the prior method of using paper forms. The RTOG plans to further test this strategy in a head-and-neck cancer trial across all participating RTOG sites.
| S-EPMC4007315 | biostudies-literature
Project description:Electronic health records (EHRs) offer opportunities for research and improvements in patient care. However, challenges exist in using data from EHRs due to the volume of information existing within clinical notes, which can be labor intensive and costly to transform into usable data with existing strategies. This case report details the collaborative development and implementation of the postencounter form (PEF) system into the EHR at the Road Home Program at Rush University Medical Center in Chicago, IL to address these concerns with limited burden to clinical workflows. The PEF system proved to be an effective tool with over 98% of all clinical encounters including a completed PEF within 5 months of implementation. In addition, the system has generated over 325,188 unique, readily-accessible data points in under 4 years of use. The PEF system has since been deployed to other settings demonstrating that the system may have broader clinical utility.
| S-EPMC7171586 | biostudies-literature
Project description:BackgroundElectronic data collection is increasingly used for household surveys, but factors influencing design and implementation have not been widely studied. The Every Newborn-INDEPTH (EN-INDEPTH) study was a multi-site survey using electronic data collection in five INDEPTH health and demographic surveillance system sites.MethodsWe described experiences and learning involved in the design and implementation of the EN-INDEPTH survey, and undertook six focus group discussions with field and research team to explore their experiences. Thematic analyses were conducted in NVivo12 using an iterative process guided by a priori themes.ResultsFive steps of the process of selecting, adapting and implementing electronic data collection in the EN-INDEPTH study are described. Firstly, we reviewed possible electronic data collection platforms, and selected the World Bank's Survey Solutions® as the most suited for the EN-INDEPTH study. Secondly, the survey questionnaire was coded and translated into local languages, and further context-specific adaptations were made. Thirdly, data collectors were selected and trained using standardised manual. Training varied between 4.5 and 10 days. Fourthly, instruments were piloted in the field and the questionnaires finalised. During data collection, data collectors appreciated the built-in skip patterns and error messages. Internet connection unreliability was a challenge, especially for data synchronisation. For the fifth and final step, data management and analyses, it was considered that data quality was higher and less time was spent on data cleaning. The possibility to use paradata to analyse survey timing and corrections was valued. Synchronisation and data transfer should be given special consideration.ConclusionWe synthesised experiences using electronic data collection in a multi-site household survey, including perceived advantages and challenges. Our recommendations for others considering electronic data collection include ensuring adaptations of tools to local context, piloting/refining the questionnaire in one site first, buying power banks to mitigate against power interruption and paying attention to issues such as GPS tracking and synchronisation, particularly in settings with poor internet connectivity.
| S-EPMC7869201 | biostudies-literature
Project description:BackgroundWithin-consultation recruitment to primary care trials is challenging. Ensuring procedures are efficient and self-explanatory is the key to optimising recruitment. Trial recruitment software that integrates with the electronic health record to support and partially automate procedures is becoming more common. If it works well, such software can support greater participation and more efficient trial designs. An innovative electronic trial recruitment and outcomes software was designed to support recruitment to the Runny Ear randomised controlled trial, comparing topical, oral and delayed antibiotic treatment for acute otitis media with discharge in children. A qualitative evaluation investigated the views and experiences of primary care staff using this trial software.MethodsStaff were purposively sampled in relation to site, role and whether the practice successfully recruited patients. In-depth interviews were conducted using a flexible topic guide, audio recorded and transcribed. Data were analysed thematically.ResultsSixteen staff were interviewed, including GPs, practice managers, information technology (IT) leads and research staff. GPs wanted trial software that automatically captures patient data. However, the experience of getting the software to work within the limited and complex IT infrastructure of primary care was frustrating and time consuming. Installation was reliant on practice level IT expertise, which varied between practices. Although most had external IT support, this rarely included supported for research IT. Arrangements for approving new software varied across practices and often, but not always, required authorisation from Clinical Commissioning Groups.ConclusionsPrimary care IT systems are not solely under the control of individual practices or CCGs or the National Health Service. Rather they are part of a complex system that spans all three and is influenced by semi-autonomous stakeholders operating at different levels. This led to time consuming and sometimes insurmountable barriers to installation at the practice level. These need to be addressed if software supporting efficient research in primary care is to become a reality.
| S-EPMC8259773 | biostudies-literature
Project description:ObjectiveThe objective was to prospectively derive and validate a prediction rule for detecting cases warranting investigation for surgical site infections (SSI) after ambulatory surgery.MethodsWe analysed electronic health record (EHR) data for children who underwent ambulatory surgery at one of 4 ambulatory surgical facilities. Using regularized logistic regression and random forests, we derived SSI prediction rules using 30 months of data (derivation set) and evaluated performance with data from the subsequent 10 months (validation set). Models were developed both with and without data extracted from free text. We also evaluated the presence of an antibiotic prescription within 60 days after surgery as an independent indicator of SSI evidence. Our goal was to exceed 80% sensitivity and 10% positive predictive value (PPV).ResultsWe identified 234 surgeries with evidence of SSI among the 7910 surgeries available for analysis. We derived and validated an optimal prediction rule that included free text data using a random forest model (sensitivity = 0.9, PPV = 0.28). Presence of an antibiotic prescription had poor sensitivity (0.65) when applied to the derivation data but performed better when applied to the validation data (sensitivity = 0.84, PPV = 0.28).ConclusionsEHR data can facilitate SSI surveillance with adequate sensitivity and PPV.
| S-EPMC7646895 | biostudies-literature