General Data Collection and Sampling Design Considerations for Integrated Regional Ecological Assessments

Author(s):  
Patrick S. Bourgeron ◽  
Hope C. Humphries ◽  
Mark E. Jensen
Author(s):  
Rhodri Saunders ◽  
Rafael Torrejon Torres ◽  
Maximilian Blüher

IntroductionReal-world evidence (RWE) is a useful supplement to a product's evidence base especially for medical devices, which are often unsuitable for randomized controlled trials. Generally, RWE is analyzed retrospectively (for example, healthcare records), which lack granularity for health-economic analysis. Prospective collection of RWE in hospitals can promote device-specific endpoint assessment. The advent of the General Data Protection Regulation (GDPR) requires a privacy-by-design approach. This work describes a workflow for a GDPR-compliant device-specific RWE collection as part of quality improvement initiatives (QII).MethodsA literature review identifies relevant clinical and quality markers as endpoints to the investigated technology. A panel of experts grade these endpoints on their clinical significance, privacy sensitivity, analytic value, and feasibility for collection. Endpoints meeting a predefined cut-off are considered quality markers for the QII. Finally, an RWE data collection app is designed to collect the quality markers using either longitudinal, pseudonymized data or single time-point anonymized data to ensure data protection by design.ResultsUsing this approach relevant clinical markers were identified in a GDPR-compliant manner. The data collection app design ensured that patient data were protected, while maintaining minimum requirements on patient information and consent. The pilot QII collected data on over 5,000 procedures, which represents the largest single data set available for the tested technology. Due to its prospective nature this programme was the first to collect patient outcomes in sufficient quantity for analysis, while previous studies only recorded adverse events.ConclusionsGDPR and RWE can co-exist in harmony. A design approach, which has data protection in mind from the start can combine high quality RWE collection of efficacy and safety data with maximum patient privacy.


Nutrients ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2331
Author(s):  
Enza Speranza ◽  
Lidia Santarpia ◽  
Maurizio Marra ◽  
Emilia De Filippo ◽  
Olivia Di Vincenzo ◽  
...  

Background: This study aimed to evaluate several socio-demographic and long-term clinical outcomes in a cohort of women living with a restrictive eating disorder. Methods: Patients were asked to fill in a general data collection form aiming to investigate their current conditions and to attend the outpatient unit for a 10-year follow-up clinical and laboratory evaluation. Results: Forty-four patients completed the follow-up general data collection form and 20 agreed to attend the outpatient unit for the 10 year-follow-up evaluation. In total, 52% of patients were single, 55% had achieved a university degree, and 55% had steady employment. After 10 years, there was a clear improvement in biochemical markers, but cholesterol levels were still slightly high. The prevalence of osteopenia in the whole sample was 70% when measured on the lumbar column and 20% on the total body, while osteoporosis was found in 10% of patients and only on the lumbar column. Conclusion: According to the collected data, women with a history of restrictive eating disorders appear to re-adapt well to social life by obtaining the level of their unaffected peers in terms of education and employment.


2017 ◽  
Vol 2017 (1) ◽  
pp. 2017213
Author(s):  
Isaac Oshima ◽  
Seth Paine ◽  
Judd Muskat

The California Department of Fish and Wildlife, Office of Spill Prevention and Response (OSPR) since its inception in 1991 has been collecting SCAT (Shoreline Cleanup Assessment Technique) data. OSPR, collects SCAT data based upon the SCAT forms developed by the National Oceanic and Atmospheric Administration (NOAA). Processing SCAT paper forms is a time consuming process which includes manual transcription which can be prone to error. Beginning in 2009, OSPR began using an electronic data collection application from EPDS called, Pocket SCAT®. OSPR had scheduled exercises and our last maintenance and upgrade purchase was in 2011. Despite this, when the Refugio Spill occurred on May 19th 2015; because of ongoing issues with Pocket SCAT® and equipment, the decision was made to revert back to using paper forms. SCAT data collection and processing, once again was a time consuming process and error prone. OSPR's experience with SCAT paper forms, Pocket SCAT®, Refugio and other spills, and its recent in-house development and completion of an iOS Wildlife Recovery app culminated into the decision to create its own iOS SCAT app called, “SCATalogue”. This poster presents SCATalogue's current status, features, design considerations, inherent technology limitations and their mitigations, and envisioned future revisions. Presented herein, also a diagram of SCATalogue's place in the greater SCAT workflow such as the backend database, integration with the Common Operational Picture (COP), and other applications and technologies used to facilitate integration.


1989 ◽  
Vol 19 (8) ◽  
pp. 973-980 ◽  
Author(s):  
Andrew F. Howard

Comprehensive sampling design including determination of the distribution, number of observations and specification of desired levels of precision is typically ignored in time studies of yarding operations. A computer-based data collection, processing, and analysis system was developed for time studies that permits improved sampling design. Data collection programs were written for continuous timing of yarding operations and downloaded on to hand-held computers equipped with real-time clocks. After each shift of observation, the time study data are uploaded to a portable microcomputer. The data are then processed through a series of programs that provide error checking, cataloging, and formatting in preparation for analysis. Data from three cable yarding operations were used in a study to assess the potential for sequential design and to determine precision levels obtainable from short-duration time studies. Confidence intervals were computed cumulatively and used to assess whether additional observation of a specific machine on a particular site was justified. The data collection, processing, and real-time analysis system shows promise as a technique for improving sampling design of time studies for timber harvesting operations through sequential analysis of the data.


2006 ◽  
Vol 46 (4) ◽  
pp. 339-364 ◽  
Author(s):  
P. S. Spanoudakis ◽  
N. C. Tsourveloudis ◽  
K. P. Valavanis

2015 ◽  
Vol 79 (2) ◽  
pp. 420-442 ◽  
Author(s):  
A. Amaya ◽  
F. Leclere ◽  
K. Carris ◽  
Y. Liao

1978 ◽  
Vol 15 (3) ◽  
pp. 317-337 ◽  
Author(s):  
Yoram Wind

The author reviews the current status and recent advances in segmentation research, covering segmentation problem definition, research design considerations, data collection approaches, data analysis procedures, and data interpretation and implementation. Areas for future research are identified.


Author(s):  
Siti Mukhoyyaroh ◽  
Syaiful Jazil

<p>BAHASA INDONESIA:</p><p>Masalah yang diteliti dalam tulisan ini adalah: 1) Bagaimanakah penerapan model pembelajaran kooperatif tipe TPS (<em>Think</em> <em>Pair</em> <em>Share</em>) pada mata pelajaran Fiqih kelas VII MTs Al-Irsyadiyah Dermolemahbang Sarirejo Lamongan; 2) Bagaimanakah pemahaman siswa pada mata pelajaran Fiqih kelas VII MTs Al-Irsyadiyah Dermolemahbang Sarirejo Lamongan; 3) Bagaimanakah pengaruh model pembelajaran kooperatif tipe TPS (<em>Think</em> <em>Pair</em> <em>Share</em>) terhadap pemahaman siswa pada mata pelajaran Fiqih kelas VII MTs Al-Irsyadiyah Dermolemahbang Sarirejo Lamongan. Teknik pengumpulan data yang digunakan dalam penelitian ini meliputi: 1) Observasi untuk memperoleh data tentang penerapan model pembelajaran kooperatif tipe TPS (<em>Think</em> <em>Pair</em> <em>Share</em>); 2) Angket untuk memperoleh data tentang penerapan model pembelajaran kooperatif tipe TPS (<em>Think</em> <em>Pair</em> <em>Share</em>) dan pemahaman siswa terhadap mata pelajaran Fiqih; 3) Interview dan dokumentasi digunakan untuk memperoleh data gambaran umum objek penelitian. Analisis yang digunakan adalah: 1) prosentase dan 2) product moment. Hasil penelitian menunjukkan bahwa: 1) Penerapan model pembelajaran kooperatif tipe TPS (<em>Think</em> <em>Pair</em> <em>Share</em>) adalah baik, hal ini dibuktikan dengan hasil angket yang menunjukkan nilai sebesar 80,2%; 2) Pemahaman siswa terhadap mata pelajaran Fiqih tergolong baik. Hal ini dibuktikan dengan hasil angket yang menunjukkan nilai sebesar 69,9%; 3) Pengaruh model pembelajaran kooperatif tipe TPS (<em>Think</em> <em>Pair</em> <em>Share</em>) terhadap pemahaman siswa pada mata pelajaran Fiqih kelas VII MTs Al-Irsyadiyah Dermolemahbang Sarirejo Lamongan, berdasarkan hasil analisis diperoleh r<sub>xy</sub>= 0,208 dengan jumlah responden 41 sedangkan r<sub>tabel</sub> pada taraf signifikansi 5% adalah 0,316 dan taraf signifikansi 1% adalah 0,408. Jadi r<sub>xy</sub> lebih kecil daripada r<sub>tabel</sub> yang berarti hipotesa alternatif (Ha) ditolak dan hipotesis nol (Ho) diterima atau disetujui. Sedangkan jika dikonsultasikan dengan tabel interpretasi nilai “r”  dimana nilai r<sub>xy </sub>berada diantara 0,20–0,40 yang berarti korelasinya rendah.</p><p> </p><p>ENGLISH:</p><p>This paper examined some issues: 1) How is the application of cooperative learning model type TPS on Fiqh lesson; 2) How is the students’ understanding; 3) How is the effect of TPS in students’ understanding. Data collection techniques used in this paper include: 1) Observation to obtain data on the use of TPS; 2) Questionnaire to obtain data on the application of TPS and students’ understanding of Fiqh; 3) Interview and documentation was done to gain general data of the research’s object. The analyses used were: percentage and product moment. The result showed that: 1) the use of TPS was good; 2) Students’ understanding of Fiqh lesson was also good; 3) The effect of cooperative learning model type TPS in students’ understanding of Fiqh lesson, based on the result of the analysis was rxy = 0.208 with 41 respondents, while r table in the significant standard of 5% and 1% are 0.316 and 0.408. Therefore, rxy is smaller than r table which means the alternative hypothesis (Ha) is ignored and zero hypothesis (Ho) is accepted.</p>


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