Study Design and Measurement Methods for Data Collection

2021 ◽  
pp. 55-68
Author(s):  
Dana P. Turner
Author(s):  
Seward B. Rutkove ◽  
Kristin Qi ◽  
Kerisa Shelton ◽  
Julie Liss ◽  
Visar Berisha ◽  
...  

Author(s):  
Abrar Alturkistani ◽  
Ching Lam ◽  
Kimberley Foley ◽  
Terese Stenfors ◽  
Elizabeth R Blum ◽  
...  

BACKGROUND Massive open online courses (MOOCs) have the potential to make a broader educational impact because many learners undertake these courses. Despite their reach, there is a lack of knowledge about which methods are used for evaluating these courses. OBJECTIVE The aim of this review was to identify current MOOC evaluation methods to inform future study designs. METHODS We systematically searched the following databases for studies published from January 2008 to October 2018: (1) Scopus, (2) Education Resources Information Center, (3) IEEE (Institute of Electrical and Electronic Engineers) Xplore, (4) PubMed, (5) Web of Science, (6) British Education Index, and (7) Google Scholar search engine. Two reviewers independently screened the abstracts and titles of the studies. Published studies in the English language that evaluated MOOCs were included. The study design of the evaluations, the underlying motivation for the evaluation studies, data collection, and data analysis methods were quantitatively and qualitatively analyzed. The quality of the included studies was appraised using the Cochrane Collaboration Risk of Bias Tool for randomized controlled trials (RCTs) and the National Institutes of Health—National Heart, Lung, and Blood Institute quality assessment tool for cohort observational studies and for before-after (pre-post) studies with no control group. RESULTS The initial search resulted in 3275 studies, and 33 eligible studies were included in this review. In total, 16 studies used a quantitative study design, 11 used a qualitative design, and 6 used a mixed methods study design. In all, 16 studies evaluated learner characteristics and behavior, and 20 studies evaluated learning outcomes and experiences. A total of 12 studies used 1 data source, 11 used 2 data sources, 7 used 3 data sources, 4 used 2 data sources, and 1 used 5 data sources. Overall, 3 studies used more than 3 data sources in their evaluation. In terms of the data analysis methods, quantitative methods were most prominent with descriptive and inferential statistics, which were the top 2 preferred methods. In all, 26 studies with a cross-sectional design had a low-quality assessment, whereas RCTs and quasi-experimental studies received a high-quality assessment. CONCLUSIONS The MOOC evaluation data collection and data analysis methods should be determined carefully on the basis of the aim of the evaluation. The MOOC evaluations are subject to bias, which could be reduced using pre-MOOC measures for comparison or by controlling for confounding variables. Future MOOC evaluations should consider using more diverse data sources and data analysis methods. INTERNATIONAL REGISTERED REPORT RR2-10.2196/12087


2020 ◽  
Author(s):  
Naomi Hillery ◽  
Marva Seifert ◽  
Donald G Catanzaro ◽  
Symone McKinnon ◽  
Rebecca E Colman ◽  
...  

BACKGROUND Extensively drug-resistant tuberculosis (XDR-TB) continues to be a serious threat to global public health, due in part to the lack of accurate and efficient diagnostic devices for XDR-TB. A prospective clinical study in an intended-use cohort was designed to evaluate the Akonni Biosystems XDR-TB TruArray® and Lateral Flow Cell (XDR-LFC), which has the potential to address this gap in TB diagnostics. OBJECTIVE The objective of this publication is to share documentation of the study conceptualization and design that is replicable and of use to the scientific community. METHODS This clinical study was conducted in three phases, the first to observe changes in bacterial load and culture positivity in patient sputa over time and better understand the diversity of prospective clinical samples, the second to prospectively collect clinical samples for sensitivity and specificity testing of the Akonni Biosystems XDR-LFC device, and the third to explore anti-TB drug concentrations in serum over the course of DR-TB treatment. RESULTS The methodology described includes the study design, laboratory sample handling, data collection, and human subjects protection elements of the clinical study to evaluate a potential new XDR-TB diagnostic device. The complex systems implemented facilitated thorough clinical data collection for objective evaluation of the device. This trial is closed to recruitment. Follow-up data collection and analysis are in progress. CONCLUSIONS This publication outlined the methods used in a prospective cohort study to evaluate a device to rapidly detect XDR-TB. The documentation of this clinical study design may be of use to other researchers with similar goals.


2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Alifa Dinda Septifani ◽  
Apriningsih Apriningsih

Posyandu was one manifestation of Health Efforts on Community Based (UKBM). Based on data Posyandu Mawar 2 in February 2015 there were a decreased number of mothers’s visit from 81.25% to 62.5%, so the researchers wanted to know about association of the mother’s perception with the utilization of The Posyandu. This research used cross sectional study design using total sampling (80 mothers). Data collection was done by direct interviews based on the questionnaire and analyzed using Chi Square. The result there’s a significant association between mother’ss perception of the distance to the utilization of Posyandu RW 06 Posyandu Mawar 2 Kebagusan South Jakarta and there’s no significant relationship between education, employment and the knowledge and mothers’perceptions about the completeness of facilities, the attitude of cadres and the presence of health workers. Suggestions for Posyandu is to increase  of  mother’confident to visit Posyandu


2019 ◽  
Vol 2 (2) ◽  
pp. 82-89
Author(s):  
Hendrawati Hendrawati

Level of knowledge of women in childbearing age regarding papsmear consider low. An analytic descriptive study design was used to describe the level of knowledge regarding pap smear examination amonng the childbearing age women. Data collection tools was questionnaire in form of check list. The result confirmed that 39 from 75 participant have an excellent level of knowledge, 


2020 ◽  
Vol 245 (13) ◽  
pp. 1155-1162 ◽  
Author(s):  
Sandra H Blumenrath ◽  
Bo Y Lee ◽  
Lucie Low ◽  
Ranjini Prithviraj ◽  
Danilo Tagle

Technological advances with organs-on-chips and induced pluripotent stem cells promise to overcome hurdles associated with developing medical products, especially for rare diseases. Organs-on-chips—bioengineered “microphysiological systems” that mimic human tissue and organ functionality—may overcome clinical trial challenges with real-world patients by offering ways to conduct “clinical trials-on-chips” (CToCs) to inform the design and implementation of rare disease clinical studies in ways not possible with other culture systems. If applied properly, CToCs can substantially impact clinical trial design with regard to anticipated key outcomes, assessment of clinical benefit and risk, safety and tolerability profiles, population stratification, value and efficiency, and scalability. To discuss how tissue chips are best used to move the development of rare disease therapies forward, a working group of experts from industry, academia, and FDA as well as patient representatives addressed questions related to disease setting, test agents for microphysiological systems, study design and feasibility, data collection and use, the benefits and risks associated with this approach, and how to engage stakeholders. While rare diseases with no current therapies were considered the ultimate target, participants cautioned against stepping onto too many unknown territories when using rare disease as initial test beds. Among the disease categories considered ideal for initial CToC tests were well-defined diseases with known clinical outcomes; diseases where tissues on chips can serve as an alternative to risky first-in-human studies, such as in pediatric oncology; and diseases that lend itself to immuno-engineering or genome editing. Participants also considered important challenges, such as hosting the chip technology in-house, the high variability of cell batches and the resulting regulatory concerns, as well as the financial risk associated with the new technology. To make progress in this area and increase confidence with the use of tissue chips, the re-purposing of approved drugs ought to be the very first step. Impact statement Designing and conducting clinical trials are extremely difficult in rare diseases. Adapting tissue chips for rare disease therapy development is pivotal in assuring that treatments are available, especially for severe diseases that are difficult to treat. Thus far, the NCATS-led National Institutes of Health (NIH) Tissue Chip program has focused on deploying the technology towards in vitro tools for safety and efficacy assessments of therapeutics. However, exploring the feasibility and best possible approach to expanding this focus towards the development phase of therapeutics is critical to moving the field of CToCs forward and increasing confidence with the use of tissue chips. The working group of stakeholders and experts convened by NCATS and the Drug Information Association (DIA) addresses important questions related to disease setting, test agents, study design, data collection, benefit/risk, and stakeholder engagement—exploring both current and future best use cases and important prerequisites for progress in this area.


Author(s):  
Chris Wichman ◽  
Lynette M. Smith ◽  
Fang Yu

Abstract Introduction: Rigor and reproducibility are two important cornerstones of medical and scientific advancement. Clinical and translational research (CTR) contains four phases (T1–T4), involving the translation of basic research to humans, then to clinical settings, practice, and the population, with the ultimate goal of improving public health. Here we provide a framework for rigorous and reproducible CTR. Methods: In this paper we define CTR, provide general and phase-specific recommendations for improving quality and reproducibility of CTR with emphases on study design, data collection and management, analyses and reporting. We present and discuss aspects of rigor and reproducibility following published examples of CTR from the literature, including one example that shows the development path of different treatments that address anaplastic lymphoma kinase-positive (ALK+) non-small cell lung cancer (NSCLC). Results: It is particularly important to consider robust and unbiased experimental design and methodology for analysis and interpretation for clinical translation studies to ensure reproducibility before taking the next translational step. There are both commonality and differences along the clinical translation research phases in terms of research focuses and considerations regarding study design, implementation, and data analysis approaches. Conclusions: Sound scientific practices, starting with rigorous study design, transparency, and team efforts can greatly enhance CTR. Investigators from multidisciplinary teams should work along the spectrum of CTR phases, and identify optimal practices for study design, data collection, data analysis, and results reporting to allow timely advances in the relevant field of research.


2015 ◽  
Vol 4 ◽  
pp. 91-97
Author(s):  
Sushil Kumar Shahi

The purpose of this paper is to examine research tool from the analytical exploration of existing literature and views on research tool design. The paper explores and analyzes research tool in relation to research types and philosophical paradigm. Tool is explored from the restricted sense of data collection of any form on the one. On the other, tool is seen in wider range of methods, techniques and strategies of inquiry to move beyond limitation. Study design involves systematic reviews of existing literature on tool design. Secondary data and information are collected from journals, books and publications related to research methodology. Research tool design is identified as both a study design and a procedure of data collections in many forms from diverse fields. Journal of NELTA Surkhet Vol.4 2014: 91-97


2016 ◽  
Vol 16 (4) ◽  
pp. 30-40 ◽  
Author(s):  
Sue Sutton ◽  
Nathalie Baxter ◽  
Kim Grey ◽  
Judy Putt

This paper offers reflections on our experience and learning arising from implementing a study design that used evaluation research to pursue multiple benefits. The Community Safety and Wellbeing Study adopted a mixed methods approach, referred to as a ‘both-ways’ (or two-ways) research model, that addressed decision maker's needs and heard the people's voice. The study design was inspired by a both-ways learning model and attempted to address both needs together. The aim of the study was to involve local people in communities and encourage them to share their views about changes in community safety. Through systematic research it provided a voice for Indigenous Australians affected by the Northern Territory Emergency Response (NTER), often called ‘the intervention’. Regardless of views about the intervention, this paper aims to share the lessons learned from conducting this study. The mixed method approach involved a community based standardised survey and qualitative data collection techniques. The study was undertaken in a representative sample of 17 NTER communities with over 1300 local residents, around five percent of the relevant population. Over 60 Indigenous people were employed in conducting the study; the majority lived in or had strong ties with remote communities in the study and around 10 had significant experience with social research projects. The research had many objectives in addition to providing evidence on outcomes on a multi-faceted and sometimes controversial government policy. Ethically the research had to have benefit for the people and communities involved. In addition, the community had to be able to see there were benefits from the research for them, not just for government. This paper documents how these objectives were achieved in relation to the methodology, content, data collection and reporting aspects of the research, and discusses what worked and what could be done differently in the future.


1997 ◽  
Vol 18 (2) ◽  
pp. 119-124 ◽  
Author(s):  
◽  
M. Leone ◽  
E. Bottacchi ◽  
E. Beghi ◽  
E. Morgando ◽  
...  

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