Evidence map›Paper›PMID 36915076›Full record

ArticleBMC health services research2023

Intervention-related, contextual and personal factors affecting the implementation of an evidence-based digital system for prevention and treatment of malnutrition in elderly institutionalized patients: a qualitative study.

Cecilie Varsi, Lene Frost Andersen, Gunhild Tellebon Koksvik, Frida Severinsen, Mari Mohn Paulsen

Open access · goldFull text read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
3.7field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Implementation science in care for older adults across healthcare settings: a scoping review.Archives of public health = Archives belges de sante publique · 2026
    Pooled it
  2. Participation in the digital transformation of healthcare: a review of qualitative studies.International journal of health care quality assurance · 2024
    Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

5 authors at 2 institutions in 1 country.

Cecilie VarsiFaculty of Health and Social Sciences, University of South-Eastern Norway, box 4, Borre, 3199, Norway.
Lene Frost AndersenDepartment of Nutrition, Institute of Basic Medical Sciences, University of Oslo, box 1110, Blindern, Oslo, 0317, Norway.
Gunhild Tellebon KoksvikDepartment of Nutrition, Institute of Basic Medical Sciences, University of Oslo, box 1110, Blindern, Oslo, 0317, Norway.
Frida SeverinsenDepartment of Nutrition, Institute of Basic Medical Sciences, University of Oslo, box 1110, Blindern, Oslo, 0317, Norway.
Mari Mohn PaulsenDepartment of Nutrition, Institute of Basic Medical Sciences, University of Oslo, box 1110, Blindern, Oslo, 0317, Norway. m.m.paulsen@medisin.uio.no.
University of Oslo · NOUniversity of South-Eastern Norway · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalnutrition in elderly institutionalized patients is a significant challenge associated with adverse health outcomes. The 'MyFood' decision support system was designed to prevent and treat malnutrition and has previously been studied in a hospital setting. The aim of this study was to explore the experiences of nursing staff regarding the implementation of MyFood in settings treating elderly patients.

methodsThe study was conducted in two settings treating elderly patients in Norway. Nursing staff received training in how to follow-up patients with MyFood. Qualitative interviews were conducted with 12 nursing staff. The Consolidated Framework for Implementation Research (CFIR) was used to guide the data collection and the thematic data analysis.

resultsThe implementation of a digital decision support system to prevent and treat malnutrition into settings treating elderly patients was found to be affected by intervention-related, contextual, and personal factors. Although nursing staff experienced several advantages, the leadership engagement was low and hampered the implementation.

conclusionNursing staff experienced several advantages with implementing a digital decision support system for the prevention and treatment of malnutrition in institutionalized elderly patients, including quality improvements and time savings. The results indicate that the leadership engagement was weak and that some nursing staff experienced low self-efficacy in digital competence. Future improvements include increasing the level of training, using MyFood throughout the patient course and involving the patient's next-of-kin.

trial registrationThe study was acknowledged by The Norwegian Centre for Research Data (NSD), ref. number 135175.

Indexed as

FrailtyMalnutritionAgedData CollectionHospitalsHumansQualitative ResearchDecision support systemeHealthElderly patientMalnutritionThe Consolidated Framework for implementation research

Identifiers

PMID36915076
PMCPMC10012554
OpenAlexW4324055034

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read3
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.