ArticleNursing outlook
A clinical classification framework for identifying persons with high social and medical needs: The COMPLEXedex-SDH.
Article in Nursing outlook. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed, 8 citations in OpenAlex.
- Questioning the Foundations of Research Methodologies in Nursing: A Reflection Based on Problematology.Nursing philosophy : an international journal for healthcare professionals · 2026Article
- Multivariable regression modelling of structural, intermediary and demographic determinants of health literacy: evidence from unaccompanied migrants and statelessness-prone individuals in Ghana.Journal of health, population, and nutrition · 2026Article
- Healthcare utilization and cost analysis by social determinants of health: a prospective cohort study in Catalonia, Spain.BMC health services research · 2026Article
- Evaluating Treatment Burden in Patients with Complex Needs Receiving a Transition of Care Intervention: A Rapid Qualitative Analysis.Clinical nursing research · 2026Article
- Balancing fidelity and flexibility: a case study presentation of an augmented dynamic adaptation process for socio-technical innovations in healthcare.Frontiers in health services · 2026Article
- Area Deprivation and Patient Complexity Predict Low-Value Healthcare Utilization in Persons With Heart Failure.Nursing researchArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
backgroundFirst-generation algorithms resulted in high-cost features as a representation of need but unintentionally introduced systemic bias based on prior ability to access care. Improved precision health approaches are needed to reduce bias and improve health equity. PURPOSE: To integrate nursing expertise into a clinical definition of high-need cases and develop a clinical classification algorithm for implementing nursing interventions.
methodsTwo-phase retrospective, descriptive cohort study using 2019 data to build the algorithm (n = 19,20,848) and 2021 data to test it in adults ≥18 years old (n = 15,99,176). DISCUSSION: The COMPLEXedex-SDH algorithm identified the following populations: cross-cohort needs (10.9%); high-need persons (cross-cohort needs and other social determinants) (17.7%); suboptimal health care utilization for persons with medical complexity (13.8%); high need persons with suboptimal health care utilization (6.2%).
conclusionThe COMPLEXedex-SDH enables the identification of high-need cases and value-based utilization into actionable cohorts to prioritize outreach calls to improve health equity and outcomes.
Indexed as
Identifiers
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.