Evidence map›Paper›PMID 34109878›Full record

ArticleJournal of primary care & community health

How GPs can Recognize Persistent Frequent Attenders at Finnish Primary Health Care Using Electronic Patient Records.

Anne Santalahti, Sinikka Luutonen, Tero Vahlberg, Hans Moen, Sanna Salanterä, Päivi Rautava

Abstract read
In one paragraph

Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Anne SantalahtiTurku City Healthcare Center, Turku, Finland.ORCID 0000-0002-1411-2295
Sinikka LuutonenUniversity of Turku and Turku University Hospital, Turku, Varsinais-Suomi, Finland.
Tero VahlbergUniversity of Turku, Turku, Finland.
Hans MoenUniversity of Turku, Turku, Finland.
Sanna SalanteräUniversity of Turku and Turku University Hospital, Turku, Varsinais-Suomi, Finland.
Päivi RautavaUniversity of Turku and Turku University Hospital, Turku, Varsinais-Suomi, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe proportion of patients who are frequent attenders (FAs) varies from few percent to almost 30% of all patients. A small group of patients continued to visit GPs year after year. In previous studies, it has been reported that over 15% of all 1-year FAs were persistent frequent attenders (pFAs).

objectivesThis study aimed to identify typical features of pFAs from the textual content in their medical entries, which could help GPs to recognize pFAs easily and facilitated treatment.Methods: A retrospective register study was done, using 10 years of electronic patient records. The data were collected from Finnish primary health care centers and used to analyze chronic symptoms and diagnoses of pFAs and to calculate the inverse document frequency weight (IDF) of words used in the patient records. IDF was used to determine which words, if any, are typical for pFAs. The study group consisted of the 5-year pFAs and control group of 1-year FAs. The main background variables were age, gender, occupation, smoking habits, use of alcohol, and BMI.

resultsOut of 4392 frequent attenders, 6.6% were pFAs for 3 years and 1.1% were pFAs for 5 years. Of the pFAs, 65% were female and 35% were male. The study group had significantly more depressive episodes (

conclusionA typical pFA seems to be a woman, aged about 55 years with depressive episodes, asthma or COPD, and lower back pain. Physicians describe pFAs with ordinary words in patient records. It was not possible to differentiate pFAs from 1-year FAs in this way.

Indexed as

Electronic Health RecordsPrimary Health CareAgedFemaleFinlandHumansMaleRetrospective Studiesdescribing persistent frequent attenderselectronic patient entrypersistent frequent attenderpractice managementprimary care

Identifiers

PMID34109878
PMCPMC8202266

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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.