scholarly journals Comparing the efficiency of paper-based and electronic data capture during face-to-face interviews

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0247570
Author(s):  
Alissa Tate ◽  
Claire Smallwood
Keyword(s):  
New Technologies ◽  
Total Error ◽  
Cost Effective ◽  
Data Capture ◽  
Electronic Data Capture ◽  
Marine Environments ◽  
Electronic Data ◽  
Face To Face ◽  
Total Error Rate ◽  
The Cost

On-site surveys involving face-to-face interviews are implemented globally across many scientific disciplines. Incorporating new technologies into such surveys by using electronic devices is becoming more common and is widely viewed to be more cost-effective and accurate. However, Electronic Data Capture methods (EDC) when compared to traditional Paper-based Data Capture (PDC) are often implemented without proper evaluation of any changes in efficiency, especially from surveys in coastal and marine environments. A roving creel survey of recreational shore-based fishers in Western Australia in 2019 enabled a direct comparison between the two methods. Randomisation strategies were employed to ensure biases in using each technique were minimised. A total of 1,068 interviews with recreational fishers were undertaken with a total error rate of 5.1% (CI95%: 4.8–5.3%) for PDC and 3.1% (CI95%: 2.9–3.3%) for EDC. These results confirmed that EDC can reduce errors whilst increasing efficiency and decreasing cost, although some aspects of this platform could be improved with some streamlining. This study demonstrates how EDC can be successfully implemented in coastal and marine environments without compromising the randomised, stratified nature of a survey and highlights the cost-effectiveness of this method. Such findings can be widely applied to any discipline which uses face-to-face interviews for data collection.

scholarly journals The Use of Tablet-Based Multiple-Pass 24-Hour Dietary Recall Application (MP24Diet) to Collect Dietary Intake of Children under Two Years Old in the Prospective Cohort Study in Indonesia

Nutrients ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2889 ◽  
Author(s):  
Min Kyaw Htet ◽  
Umi Fahmida ◽  
Tran Thanh Do ◽  
Michael J. Dibley ◽  
Elaine Ferguson
Keyword(s):  
Developing Countries ◽  
Cohort Study ◽  
Dietary Intake ◽  
New Technologies ◽  
Data Capture ◽  
Electronic Data Capture ◽  
Electronic Data ◽  
Dietary Recall ◽  
Multiple Pass ◽  
Dietary Data

Dietary intake data are crucial for developing or evaluating nutrition interventions to improve the nutritional status of populations. The collection of accurate and reliable dietary data in developing countries, however, remains challenging. The emergence of new technologies, which facilitate electronic data capture, might address some of these challenges. This paper aims to describe an application developed to collect a multiple-pass 24-h dietary recall, using electronic data capture, and compare the results to those estimated using a paper-based method. In this study, a tablet-based application was developed, in the CommCare platform, to evaluate the effectiveness, for improving dietary adequacy, of a package of behavior change interventions to reduce stunting and anemia among 6–23-month-old children in East Java, Indonesia (Baduta project). Dietary intakes of energy and nutrients were estimated using electronic data capture in the cohort study of the Baduta project (n = 680). We compared these results with those estimated using paper-based data capture in the project’s end-line cross-sectional study (n = 2740). We found a higher percentage of children classified as acceptable energy reporters (reported energy intake within the 95% CI of Total Energy Expenditure) with the electronic data capture compared with paper-based data capture (i.e., 60.8%, 72.4% and 80.7% for 6–8-, 9–11- and 12–23-month-old children, respectively, vs. 40.9%, 56.9%, and 54.3%, respectively). The estimated mean energy and nutrient intakes were not significantly different between these dietary data capture methods. These results suggest dietary data collection, using a tablet-based application, is feasible and can improve the quality of dietary data collected in developing countries.

scholarly journals 238. Novel Way to Evaluate Antibiotic Use Appropriateness: Moving Towards the “Never Event” Classification by Electronic Algorithm

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S119-S120
Author(s):  
Twisha S Patel ◽  
Lindsay A Petty ◽  
Jiajun Liu ◽  
Marc H Scheetz ◽  
Nicholas Mercuro ◽  
...  
Keyword(s):  
Urine Culture ◽  
Asymptomatic Bacteriuria ◽  
Antibiotic Use ◽  
Data Capture ◽  
Electronic Data Capture ◽  
Electronic Data ◽  
False Positivity ◽  
Never Event ◽  
Manual Review

Abstract Background Antibiotic use is commonly tracked electronically by antimicrobial stewardship programs (ASPs). Traditionally, evaluating the appropriateness of antibiotic use requires time- and labor-intensive manual review of each drug order. A drug-specific “appropriateness” algorithm applied electronically would improve the efficiency of ASPs. We thus created an antibiotic “never event” (NE) algorithm to evaluate vancomycin use, and sought to determine the performance characteristics of the electronic data capture strategy. Methods An antibiotic NE algorithm was developed to characterize vancomycin use (Figure) at a large academic institution (1/2016–8/2019). Patients were electronically classified according to the NE algorithm using data abstracted from their electronic health record. Type 1 NEs, defined as continued use of vancomycin after a vancomycin non-susceptible pathogen was identified, were the focus of this analysis. Type 1 NEs identified by automated data capture were reviewed manually for accuracy by either an infectious diseases (ID) physician or an ID pharmacist. The positive predictive value (PPV) of the electronic data capture was determined. Antibiotic Never Event (NE) Algorithm to Characterize Vancomycin Use Results A total of 38,774 unique cases of vancomycin use were available for screening. Of these, 0.6% (n=225) had a vancomycin non-susceptible pathogen identified, and 12.4% (28/225) were classified as a Type 1 NE by automated data capture. All 28 cases included vancomycin-resistant Enterococcus spp (VRE). Upon manual review, 11 cases were determined to be true positives resulting in a PPV of 39.3%. Reasons for the 17 false positives are given in Table 1. Asymptomatic bacteriuria (ASB) due to VRE in scenarios where vancomycin was being appropriately used to treat a concomitant vancomycin-susceptible infection was the most common reason for false positivity, accounting for 64.7% of false positive cases. After removing urine culture source (n=15) from the algorithm, PPV improved to 53.8%. Conclusion An automated vancomycin NE algorithm identified 28 Type 1 NEs with a PPV of 39%. ASB was the most common cause of false positivity and removing urine culture as a source from the algorithm improved PPV. Future directions include evaluating Type 2 NEs (Figure) and prospective, real-time application of the algorithm. Disclosures Marc H. Scheetz, PharmD, MSc, Merck and Co. (Grant/Research Support)

How Did a Multi-Institutional Trial Show Feasibility of Electronic Data Capture in Older Patients With Cancer? Results From a Multi-Institutional Qualitative Study (Alliance A171902)

2021 ◽  
pp. 442-449
Author(s):  
Nichole A. Martin ◽  
Elizabeth S. Harlos ◽  
Kathryn D. Cook ◽  
Jennifer M. O'Connor ◽  
Andrew Dodge ◽  
...  
Keyword(s):  
Older Patients ◽  
Electronic Devices ◽  
Data Entry ◽  
Data Capture ◽  
Data Availability ◽  
Electronic Data Capture ◽  
Wireless Internet ◽  
Electronic Data ◽  
Patients With Cancer ◽  
Patient Reported

PURPOSE New technology might pose problems for older patients with cancer. This study sought to understand how a trial in older patients with cancer (Alliance A171603) was successful in capturing electronic patient-reported data. METHODS Study personnel were invited via e-mail to participate in semistructured phone interviews, which were audio-recorded and qualitatively analyzed. RESULTS Twenty-four study personnel from the 10 sites were interviewed; three themes emerged. The first was that successful patient-reported electronic data capture shifted work toward patients and toward study personnel at the beginning of the study. One interviewee explained, “I mean it kind of lost all advantages…by being extremely laborious.” Study personnel described how they ensured electronic devices were charged, wireless internet access was up and running, and login codes were available. The second theme was related to the first and dealt with data filtering. Study personnel described high involvement in data gathering; for example, one interviewee described, “I answered on the iPad, whatever they said. They didn't even want to use it at all.” A third theme dealt with advantages of electronic data entry, such as prompt data availability at study completion. Surprisingly, some remarks described how electronic devices brought people together, “Some of the patients, you know, it just gave them a chance to kinda talk about, you know, what was going on.” CONCLUSION High rates of capture of patient-reported electronic data were viewed favorably but occurred in exchange for increased effort from patients and study personnel and in exchange for data that were not always patient-reported in the strictest sense.

scholarly journals Cost-effectiveness of a stepwise intervention to promote adherence to cervical cancer screening

2019 ◽  
Vol 30 (3) ◽  
pp. 543-552
Author(s):  
João Firmino-Machado ◽  
Djøra I Soeteman ◽  
Nuno Lunet
Keyword(s):  
Cervical Cancer ◽  
Cost Effectiveness ◽  
Cancer Screening ◽  
Cervical Cancer Screening ◽  
Cost Effective ◽  
Effective Strategy ◽  
Face To Face ◽  
Provider Perspectives ◽  
Phone Calls ◽  
The Cost

Abstract Background Cervical cancer screening is effective in reducing mortality, but adherence is generally low. We aimed to investigate the cost-effectiveness of a stepwise intervention to promote adherence to cervical cancer screening in Portugal. Methods We developed a decision tree model to compare the cost-effectiveness of four competing interventions to increase adherence to cervical cancer screening: (i) a written letter (standard-of-care); (ii) automated short message service text messages (SMS)/phone calls/reminders; (iii) automated SMS/phone calls/reminders + manual phone calls; (iv) automated SMS/phone calls/reminders + manual phone calls + face-to-face interviews. The main outcome measure was cost per quality-adjusted life year (QALY) measured over a 5-year time horizon. Costs were calculated from the societal and provider perspectives. Results From the societal perspective, the optimal strategy was automated SMS/phone calls/reminders, below a threshold of €8171 per QALY; above this and below €180 878 per QALY, the most cost-effective strategy was automated SMS/phone calls/reminders + manual phone calls and above this value automated SMS/phone calls/reminders + manual phone calls + face-to-face interviews. From the provider perspective, the ranking of the three strategies in terms of cost-effectiveness was the same, for thresholds of €2756 and €175 463 per QALY, respectively. Conclusions Assuming a willingness-to-pay threshold of one time the national gross domestic product (€22 398/QALY), automated SMS/phone calls/reminders + manual phone calls is a cost-effective strategy to promote adherence to cervical cancer screening, both from the societal and provider perspectives.

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