ArticleNursing outlook
Implementing common data elements across studies to advance research.
Article in Nursing outlook. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Self-management interventions in systemic sclerosis: A systematic review.Research in nursing & health · 2021Pooled it
- TheWestern journal of nursing research · 2025Trial
- Construction and validation of a patient-centered data governance platform for multimodal dental implant data management.Clinical oral investigations · 2026Article
- Force-based manipulation via wearable focal vibration for pain relief and changes in gait biomechanics in diabetic peripheral neuropathy: a secondary analysis of a pilot trial.Frontiers in pain research (Lausanne, Switzerland) · 2026Article
- Advancing Global Cancer Symptom Science: Insights and Strategies From the Inaugural Cancer Symptom Science Expert Meeting.Oncology nursing forum · 2025Article
- Advancing Global Cancer Symptom Science: Insights and Strategies from the Inaugural Cancer Symptom Science Expert Meeting.Seminars in oncology nursing · 2025Article
- A community-engaged approach to developing common data elements: a case study from the RADx-UP Long COVID common data elements Task Force.JAMIA open · 2025Article
- FAIR foundations of a novel indicator vault for non-communicable diseases in the European Union: feasibility study for effective contextualisation of indicators.Frontiers in digital health · 2025Article
- Creation of Standardized Common Data Elements for Diagnostic Tests in Infectious Disease Studies: Semantic and Syntactic Mapping.Journal of medical Internet research · 2024Article
- Standardizing, harmonizing, and protecting data collection to broaden the impact of COVID-19 research: the rapid acceleration of diagnostics-underserved populations (RADx-UP) initiative.Journal of the American Medical Informatics Association : JAMIA · 2022Review
- A practice-based model to guide nursing science and improve the health and well-being of patients and caregivers.Journal of clinical nursing · 2022Article
- Common Data Elements to Facilitate Sharing and Re-use of Participant-Level Data: Assessment of Psychiatric Comorbidity Across Brain Disorders.Frontiers in psychiatry · 2022Article
- A knowledge base of clinical trial eligibility criteria.Journal of biomedical informatics · 2021Article
- Burnout Among Women Physicians: a Call to Action.Current cardiology reports · 2020Review
- Effect of Age on the Initiation of Biologic Agent Therapy in Patients With Inflammatory Bowel Disease: Korean Common Data Model Cohort Study.JMIR medical informatics · 2020Article
- Common Data Elements for Acute Coronary Syndrome: Analysis Based on the Unified Medical Language System.JMIR medical informatics · 2019Article
- Challenges to the Standardization of Trauma Data Collection in Burn, Traumatic Brain Injury, Spinal Cord Injury, and Other Trauma Populations: A Call for Common Data Elements for Acute and Longitudinal Trauma Databases.Archives of physical medicine and rehabilitation · 2019Article
- Feasibility of Combining Common Data Elements Across Studies to Test a Hypothesis.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2017Article
- The Need for a Definition of Big Data for Nursing Science: A Case Study of Disaster Preparedness.International journal of environmental research and public health · 2016Review
- Recommendations of Common Data Elements to Advance the Science of Self-Management of Chronic Conditions.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Challenges arise in building the knowledge needed for evidence-based practice partially because obtaining clinical research data is expensive and complicated, and many studies have small sample sizes. Combining data from several studies may have the advantage of increasing the impact of the findings or expanding the population to which findings may be generalized. The use of common data elements will allow this combining and, in turn, create big data, which is an important approach that may accelerate knowledge development. This article discusses the philosophy of using common data elements across research studies and illustrates their use by the processes in a developmental center grant funded by the National Institutes of Health. The researchers identified a set of data elements and used them across several pilot studies. Issues that need to be considered in the adoption and implementation of common data elements across pilot studies include theoretical framework, purpose of the common measures, respondent burden, teamwork, managing large data sets, grant writing, and unintended consequences. We describe these challenges and solutions that can be implemented to manage them.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.