Evidence map›Paper›PMID 33596929›Full record

ArticleBMC health services research2021

CONECT-6: a case-finding tool to identify patients with complex health needs.

Catherine Hudon, Mathieu Bisson, Marie-France Dubois, Yohann Chiu, Maud-Christine Chouinard, Nicole Dubuc, Nicolas Elazhary, Véronique Sabourin, Alain Vanasse

Erratum issuedAbstract read
In one paragraph

Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Patient-Reported Outcome Measures in the Emergency Department: A Scoping Review.Journal of the American College of Emergency Physicians open · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Catherine HudonDepartment of Family Medicine and Emergency Medicine, University of Sherbrooke, 3001 12e Avenue N, Sherbrooke, QC, J1H 5H3, Canada. Catherine.Hudon@usherbrooke.ca.ORCID http://orcid.org/0000-0001-6140-9916
Mathieu BissonDepartment of Family Medicine and Emergency Medicine, University of Sherbrooke, 3001 12e Avenue N, Sherbrooke, QC, J1H 5H3, Canada.
Marie-France DuboisDepartment of Family Medicine and Emergency Medicine, University of Sherbrooke, 3001 12e Avenue N, Sherbrooke, QC, J1H 5H3, Canada.
Yohann ChiuDepartment of Family Medicine and Emergency Medicine, University of Sherbrooke, 3001 12e Avenue N, Sherbrooke, QC, J1H 5H3, Canada.
Maud-Christine ChouinardNursing Faculty, University of Montreal, Pavillon Marguerite-d'Youville, C.P. 6128 succ. Centre-ville, Montréal, QC, H3C 3J7, Canada.
Nicole DubucDepartment of Family Medicine and Emergency Medicine, University of Sherbrooke, 3001 12e Avenue N, Sherbrooke, QC, J1H 5H3, Canada.
Nicolas ElazharyDepartment of Family Medicine and Emergency Medicine, University of Sherbrooke, 3001 12e Avenue N, Sherbrooke, QC, J1H 5H3, Canada.
Véronique SabourinIntegrated University Health and Social Services Centre of Saguenay-Lac-Saint-Jean, 225 rue Saint-Vallier, Chicoutimi, Quebec, G7H 5H6, Canada.
Alain VanasseDepartment of Family Medicine and Emergency Medicine, University of Sherbrooke, 3001 12e Avenue N, Sherbrooke, QC, J1H 5H3, Canada.

Funding

Fonds de Recherche du Québec - Santé 318327
6 · The paper itself

Abstract

backgroundEarly identification of patients with chronic conditions and complex health needs in emergency departments (ED) would enable the provision of services better suited to their needs, such as case management. A case-finding tool would ultimately support ED teams to this end and could reduce the cost of services due to avoidable ED visits and hospitalizations. The aim of this study was to develop and validate a short self-administered case-finding tool in EDs to identify patients with chronic conditions and complex health needs in an adult population.

methodsThis prospective development and initial validation study of a case-finding tool was conducted in four EDs in the province of Quebec (Canada). Adult patients with chronic conditions were approached at their third or more visit to the ED within 12 months to complete a self-administered questionnaire, which included socio-demographics, a comorbidity index, the reference standard INTERMED self-assessment, and 12 questions to develop the case-finding tool. Significant variables in bivariate analysis were included in a multivariate logistic regression analysis and a backward elimination procedure was applied. A receiver operating characteristic (ROC) curve was developed to identify the most appropriate threshold score to identify patients with complex health needs.

resultsTwo hundred ninety patients participated in the study. The multivariate analysis yielded a six-question tool, COmplex NEeds Case-finding Tool - 6 (CONECT-6), which evaluates the following variables: low perceived health; limitations due to pain; unmet needs; high self-perceived complexity; low income; and poor social support. With a threshold of two or more positive answers, the sensitivity was 90% and specificity 66%. The positive and negative predictive values were 49 and 75% respectively.

conclusionsThe case-finding process is the essential characteristic of case management effectiveness. This study presents the first case-finding tool to identify adult patients with chronic conditions and complex health needs in ED.

Indexed as

Emergency Service, HospitalHospitalizationAdultCanadaHumansProspective StudiesQuebecAmbulatory care sensitive conditionCase-finding toolCase managementChronic diseasesComplexityFrequent user

Identifiers

PMID33596929
PMCPMC7891167

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.