ArticleActa bio-medica : Atenei Parmensis2021
Determining chronic pain data elements as a first step towards improving quality of care and research in chronic pain.
Article in Acta bio-medica : Atenei Parmensis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- A scoping review on the characteristics of chronic pain registries.Pain reports · 2026Review
- Telemedicine Solutions for Chronic Pain: Design, Implementation, and Evaluation of a Novel System.Anesthesiology and pain medicine · 2025Article
- Understanding chronic pain in the ubiquitous community: the role of open data.Frontiers in pain research (Lausanne, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChronic pain is a significant clinical problem in the world. There is still no quite effective treatment for this pain due to its complex nature. Timely retrieval of accurate and comprehensive information through organized clinical and epidemiological studies is an essential prerequisite for providing high quality clinical care and more accurate health planning. We aimed to determine minimum set of data needed as a first step in design and development of a chronic pain registry system. MATERIALS AND
methodsThis descriptive-applied study was carried out in three phases; identifying necessary minimum data, preparing a primary minimum dataset, and surveying experts by questionnaire. Result: The literature review revealed that, the primary minimum dataset consisted of 51 elements, which were reduced to 41 after applying the experts' opinion. This dataset covered six areas: demographic information (8 elements), initial pain assessment (12 elements), medical history (8 elements), mental health and well-being (6 elements), diagnostic measures (3 elements), and diagnosis and treatment plan (4 elements).
conclusionDetermining minimum set of chronic pain data will be an effective step towards integrating and improving information management of patients with chronic pain. It will also allow for proper storage and retrieval of information related to these patients.
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Registered trials
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