Evidence map›Paper›PMID 37213782›Full record

ArticlePEC innovation2022

One for all or all for one? An integrative review of research on frequent callers.

S Skogevall, E Kaminsky, J Håkansson, I K Holmström

Abstract read
In one paragraph

Article in PEC innovation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. Article
  3. Frequent users of the ambulance service in a Swedish region: a retrospective cohort study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

S SkogevallSchool of Health, Care and Social Welfare, Mälardalen University, Västerås, Sweden.
E KaminskyDepartment of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden.
J HåkanssonDepartment of Psychology, Stockholm University, Stockholm, Sweden.
I K HolmströmSchool of Health, Care and Social Welfare, Mälardalen University, Västerås, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Telephone health services is an increasing and integral part of health care in several countries. Callers who call repeatedly, in the current study "frequent callers" are present in all kinds of healthcare services, often constitute a considerable proportion of the total amount of calls and are complicated to help. The aim was to provide a comprehensive overview of research on frequent callers at a variety of telephone health services. Methods: An integrative literature review. Literature was searched for the period 2011-2020 in CINAHL Plus, MEDLINE, APA PsycArticles, APA PsycInfo, and PubMed, and resulted in the inclusion of 20 articles. Results: Studies on frequent callers (FCs) were found in the context of emergency medical services, telephone helplines, primary healthcare, and specialist medicine clinics. Frequent calling was associated with psychiatric comorbidity, and the reasons for calling were often multifaceted. Conclusion: The strategies suggested for handling calls involved an individual approach, which could be enabled through multidisciplinary work. Innovation: The main findings indicate a need for a systematic approach and guidelines to enable optimal help for FCs. Cooperation among healthcare instances seems to contribute to a more individual care for FCs.

Indexed as

Frequent callerIntegrative reviewRepeated callerTelephone health services

Identifiers

PMID37213782
PMCPMC10194234

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.