Evidence map›Paper›PMID 38097998›Full record

ReviewBMC primary care2023

Digital solutions for decision support in general practice - a rapid review focused on systems developed for the universal healthcare setting in Denmark.

Anne Clausen, Emilie Rosenfeldt Christensen, Pernille Ravn Jakobsen, Jens Søndergaard, Bo Abrahamsen, Katrine Hass Rubin

Open access · goldAbstract readReview
In one paragraph

Review in BMC primary care, 2023. 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
1.9field-weighted citation impact, top 10% of its field
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, 5 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 3 institutions in 1 country.

Anne Clausen *OPEN - Open Patient Data Explorative Network, Odense University Hospital, Odense, Denmark. anne.clausen@rsyd.dk.
Emilie Rosenfeldt Christensen *OPEN - Open Patient Data Explorative Network, Odense University Hospital, Odense, Denmark.
Pernille Ravn JakobsenThe Research Unit of General Practice, Institute of Public Health, University of Southern Denmark, Odense, Denmark.
Jens SøndergaardThe Research Unit of General Practice, Institute of Public Health, University of Southern Denmark, Odense, Denmark.
Bo AbrahamsenDepartment of Medicine, Holbaek Hospital, Holbaek, Denmark.
Katrine Hass RubinOPEN - Open Patient Data Explorative Network, Odense University Hospital, Odense, Denmark.
University of Southern Denmark · DKOdense University Hospital · DKHolbæk Sygehus · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital health solutions hold the potential for supporting general practitioners in decision-making, and include telemedicine systems, decision support systems, patient apps, wearables, fitness trackers, etc.

aimThis review aimed to identify digital solutions developed for, tested, or implemented in general practice to support the decisions of GPs in disease detection and management, using Denmark as an example country of a universal healthcare setting.

methodsThis study was conducted as a rapid review. The primary search included a database search conducted in Embase and MEDLINE. The supplementary search was conducted in Infomedia and additionally included a snowball search in reference lists and citations of key articles identified in the database search. Titles were screened by two reviewers.

resultsThe review included 15 studies as key articles describing a total of 13 digital solutions for decision support in general practice in Denmark. 1.123 titles were identified through the database search and 240 titles were identified through the supplementary and snowball search.

conclusionsThe review identified 13 digital solutions for decision support in general practice in a Danish healthcare setting aimed at detection and/or management of cancer, COPD, type 2 diabetes, depression, liver disease or multiple lifestyle-related diseases. Implementation aspects should be reported more transparently in future publications to enable applicability of digital solutions as decision support to aid general practitioners in disease detection and management.

Indexed as

Diabetes Mellitus, Type 2General PracticeNeoplasmsDenmarkHumansUniversal Health CareDecision aidDecision supportDigital healthDigital solutionsGeneral practicePrimary care

Identifiers

PMID38097998
PMCPMC10720123
OpenAlexW4389736087

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.