DEVELOPING AN IPAD<sup>®</sup> APPLICATION FOR DATA COLLECTION IN A RHEUMATOLOGY RESEARCH CLINIC

Kaka, Hussam; Ayearst, Renise; Tran, Maithy; Touma, Zahi; Bagovich, Maria; Vinik, Ophir; Somaily, Mansour; Haddad, Amir; Gladman, Dafna D.; Chandran, Vinod

doi:10.1017/s0266462315000069

Cited by 5 publications

(4 citation statements)

References 17 publications

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“…Electronic and web-based PROMs are appealing in the advancing technologic era. They offer several theoretical advantages, including a simple workflow for data collection,8, 14 a greater access to pertinent patient information, and the opportunity to incorporate that data into clinical care with real-time availability of data 6, 9, 11. Furthermore, it has been reported that electronically administered PROMs yield a 14-fold probability of obtaining a completed and thus a score-able survey 3 .…”

Section: Discussionmentioning

confidence: 99%

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E-mail reminders improve completion rates of patient-reported outcome measures

et al. 2017

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BackgroundPatient-reported outcome measures (PROMs) have become increasingly important in assessing clinical outcomes. However, acquisition of data at routine time intervals can be challenging. The ability of e-mail reminders to save follow-up intervals when office visits are missed is unknown.Materials and MethodsA retrospective review of a consecutive series of 186 shoulder surgical patients who underwent surgery between October 2, 2012, and July 2, 2013, was conducted. Simple Shoulder Test and 12-Item Short Form Health Survey scores were completed at preoperative visits using office-based tablet surveys. Patients were observed for completeness of PROMs at expected routine follow-up of 1 year and 2 years. When office visits were missed, e-mail reminders with links to online surveys were sent to patients without further incentives. Improvement in data acquisition achieved using e-mail reminders when patient follow-up was missed was assessed. The influence of the procedure performed was further analyzed to determine whether patients treated with different surgical procedures would be more compliant with PROM completion.ResultsUse of e-mail reminders significantly increased the number of patients for whom complete follow-up data were obtained. Compared with tablet surveys completed during office visits alone, the addition of e-mail reminders increased the collection of complete PROM data (both 1- and 2-year follow-up) by 25.8% (P < .001). Similar findings were observed for total shoulder arthroplasty and arthroscopic rotator cuff repair patients (increased by 25.7% and 34.4%, respectively; P < .001).ConclusionE-mail reminders serve as a mechanism to increase the completeness of follow-up data in the absence of in-office patient evaluation.

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Section: Discussionmentioning

confidence: 99%

“…Furthermore, it has been reported that electronically administered PROMs yield a 14-fold probability of obtaining a completed and thus a score-able survey 3 . The use of iPad in data collection has been shown to detect 67% of omissions seen on the pen-and-paper counterparts 6 …”

Section: Discussionmentioning

confidence: 99%

E-mail reminders improve completion rates of patient-reported outcome measures

et al. 2017

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“…Practical guidance for data management addressed a variety of topics, including managing data in the field, improving management workflow, and using databases and registries to structure the data [61][62][63][64][65]. Additional guidance for practice covers using mobile technology for data collection, reusing data from electronic health records, and graphical methods to explore such data collections [66][67][68].…”

Section: Managing Study Datamentioning

confidence: 99%

Clinical Research Informatics: Supporting the Research Study Lifecycle

Johnson¹

2017

Yearb Med Inform

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SummaryObjectives: The primary goal of this review is to summarize significant developments in the field of Clinical Research Informatics (CRI) over the years [2015][2016]. The secondary goal is to contribute to a deeper understanding of CRI as a field, through the development of a strategy for searching and classifying CRI publications. Methods: A search strategy was developed to query the PubMed database, using medical subject headings to both select and exclude articles, and filtering publications by date and other characteristics. A manual review classified publications using stages in the "research study lifecycle", with key stages that include study definition, participant enrollment, data management, data analysis, and results dissemination. Results: The search strategy generated 510 publications. The manual classification identified 125 publications as relevant to CRI, which were classified into seven different stages of the research lifecycle, and one additional class that pertained to multiple stages, referring to general infrastructure or standards. Important cross-cutting themes included new applications of electronic media (Internet, social media, mobile devices), standardization of data and procedures, and increased automation through the use of data mining and big data methods. Conclusions: The review revealed increased interest and support for CRI in large-scale projects across institutions, regionally, nationally, and internationally. A search strategy based on medical subject headings can find many relevant papers, but a large number of non-relevant papers need to be detected using text words which pertain to closely related fields such as computational statistics and clinical informatics. The research lifecycle was useful as a classification scheme by highlighting the relevance to the users of clinical research informatics solutions.

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“…15–17 Two additional apps operationalize the CAM-ICU assessment, the most widely used CAM identification tool in intensive care unit settings. 18 , 19 However, there are currently no apps for the UB-2 or 3D-CAM, nor one that combines the 2 as described above. To facilitate implementation of this 2-step, adaptive delirium identification protocol, we aimed to develop a portable, user-friendly, and efficient mobile application (app) embedding both the UB-2 and 3D-CAM, as part of the Researching Efficient approaches to Delirium Identification (READI) project.…”

Section: Introductionmentioning

confidence: 99%

A mobile app for delirium screening

et al. 2021

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Objective The objective of this study is to describe the algorithm and technical implementation of a mobile app that uses adaptive testing to assess an efficient mobile app for the diagnosis of delirium. Materials and Methods The app was used as part of a NIH-funded project to assess the feasibility, effectiveness, administration time, and costs of the 2-step delirium identification protocol when performed by physicians and nurses, and certified nursing assistants (CNA). The cohort included 535 hospitalized patients aged 79.7 (SD = 6.6) years enrolled at 2 different sites. Each patient was assessed on 2 consecutive days by the research associate who performed the reference delirium assessment. Thereafter, physicians, nurses, and CNAs performed adaptive delirium assessments using the app. Qualitative data to assess the experience of administering the 2-step protocol, and the app usability were also collected and analyzed from 50 physicians, 189 nurses, and 83 CNAs. We used extensible hypertext markup language (XHTML) and JavaScript to develop the app for the iOS–based iPad. The App was linked to Research Electronic Data Capture (REDCap), a relational database system, via a REDCap application programming interface (API) that sent and received data from/to the app. The data from REDCap were sent to the Statistical Analysis System for statistical analysis. Results The app graphical interface was successfully implemented by XHTML and JavaScript. The API facilitated the instant updating and retrieval of delirium status data between REDCap and the app. Clinicians performed 881 delirium assessments using the app for 535 patients. The transmission of data between the app and the REDCap system showed no errors. Qualitative data indicated that the users were enthusiastic about using the app with no negative comments, 82% positive comments, and 18% suggestions of improvement. Delirium administration time for the 2-step protocol showed similar total time between nurses and physicians (103.9 vs 106.5 seconds). Weekly enrollment reports of the app data were generated for study tracking purposes, and the data are being used for statistical analyses for publications. Discussion The app developed using iOS could be easily converted to other operating systems such as Android and could be linked to other relational databases beside REDCap, such as electronic health records to facilitate better data retrieval and updating of patient’s delirium status. Conclusion Our app operationalizes an adaptive 2-step delirium screening protocol. Its algorithm and cross-plat formed code of XHTML and JavaScript can be easily exported to other operating systems and hardware platforms, thus enabling wider use of the efficient delirium screening protocol that we have developed. The app is currently implemented as a research tool, but with adaptation could be implemented in the clinical setting to facilitate widespread delirium screening in hospitalized older adults.

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DEVELOPING AN IPAD^® APPLICATION FOR DATA COLLECTION IN A RHEUMATOLOGY RESEARCH CLINIC

Abstract: Entering data using the iPad® application makes the patient encounter slightly longer, but reduces "missing fields." It also eliminates the delay between clinic visit and data entry thus improving the efficiency of clinical data capture in a research setting.

Cited by 5 publications

References 17 publications

E-mail reminders improve completion rates of patient-reported outcome measures

E-mail reminders improve completion rates of patient-reported outcome measures

Clinical Research Informatics: Supporting the Research Study Lifecycle

A mobile app for delirium screening

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DEVELOPING AN IPAD® APPLICATION FOR DATA COLLECTION IN A RHEUMATOLOGY RESEARCH CLINIC

Abstract: Entering data using the iPad® application makes the patient encounter slightly longer, but reduces "missing fields." It also eliminates the delay between clinic visit and data entry thus improving the efficiency of clinical data capture in a research setting.

Cited by 5 publications

References 17 publications

E-mail reminders improve completion rates of patient-reported outcome measures

E-mail reminders improve completion rates of patient-reported outcome measures

Clinical Research Informatics: Supporting the Research Study Lifecycle

A mobile app for delirium screening

Contact Info

Product

Resources

About

DEVELOPING AN IPAD^® APPLICATION FOR DATA COLLECTION IN A RHEUMATOLOGY RESEARCH CLINIC