Cited by 73Antibiotic Use and ResistanceElectronic Health Records SystemsMobile Health and mHealth Applications

Participatory eHealth development to support nurses in antimicrobial stewardship

Open access
Wentzel, Jobke, van Velsen, Lex, van Limburg, Maarten, de Jong, Nienke, Karreman, Joyce, Hendrix, Ron, van Gemert-Pijnen, Julia Julia Elisabeth Wilhelmina Co·2014·BMC Medical Informatics and Decision Making

Abstract

BACKGROUND: Antimicrobial resistance poses a threat to patient safety worldwide. To stop antimicrobial resistance, Antimicrobial Stewardship Programs (ASPs; programs for optimizing antimicrobial use), need to be implemented. Within these programs, nurses are important actors, as they put antimicrobial treatment into effect. To optimally support nurses in ASPs, they should have access to information that supports them in their preparation, administration and monitoring tasks. In addition, it should help them to detect possible risks or adverse events associated with antimicrobial therapy. In this formative study, we investigate how nurses' can be supported in ASPs by means of an eHealth intervention that targets their information needs. METHODS: We applied a participatory development approach that involves iterative cycles in which health care workers, mostly nurses, participate. Focus groups, observations, prototype evaluations (via a card sort task and a scenario-based information searching task) and interviews are done with stakeholders (nurses, managers, pharmacist, and microbiologist) on two pulmonary wards of a 1000-bed teaching hospital. RESULTS: To perform the complex antimicrobial-related tasks well, nurses need to consult various information sources on a myriad of occasions. In addition, the current information infrastructure is unsupportive of ASP-related tasks, mainly because information is not structured to match nurse tasks, is hard to find, out of date, and insufficiently supportive of awareness. Based our findings, we created a concept for a nurse information application. We attuned the application's functionality, content, and structure to nurse work practice and tasks. CONCLUSIONS: By applying a participatory development approach, we showed that task support is a basic need for nurses. Participatory development proved useful regarding several aspects. First, it allows for combining bottom-up needs (nurses') and top-down legislations (medical protocols). Second, it enabled us to fragmentise and analyse tasks and to reduce and translate extensive information into task-oriented content. Third, this facilitated a tailored application to support awareness and enhance patient safety. Finally, the involvement of stakeholders created commitment and ownership, and helped to weigh needs from multiple perspectives.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/1472-6947-14-45

Cites

23 of 23 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Multiple authors in the included studies stated that ideally, multiple methods should be combined to paint a full picture of a prototype's usability.

    “Second, authors stated that ideally, multiple methods should be combined to paint a full picture of a prototype’s usability”
  • To paint a complete picture of prospective end users' requirements for the eHealth technology, card sorting should be combined with other methods such as interviews or focus groups.

    “Third, to paint a complete picture of prospective end users’ requirements for the eHealth technology, card sorting should be combined with other methods such as interviews or focus groups”
  • Multiple authors indicated that card sorting is a fast, efficient, and cheap method to gain insight into the structure of a to-be-developed eHealth technology, especially when conducted on the web.

    “Multiple authors indicated that card sorting is a fast, efficient, and cheap method to gain insight into the structure of a to-be-developed eHealth technology, especially when conducted on the web”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Wentzel, J., van Velsen, L., van Limburg, M., de Jong, N., Karreman, J., Hendrix, R., & van Gemert-Pijnen, J. J. E. W. C.
Affiliations
  • University of Twente (NL)
  • University Medical Center Groningen (NL)
Corresponding author
Wentzel, Jobke
Venue
BMC Medical Informatics and Decision Making
Published
2014-06-05
Volume
14
Issue
1
Pages
45-45
ISSN
1472-6947 (ISSN-L)
OpenAlex
W2128748796
Cited by
73
References
23
Citations by year
2026: 1 · 2025: 1 · 2024: 3 · 2023: 8 · 2022: 8 · 2021: 6 · 2020: 10 · 2019: 6 · 2018: 3 · 2017: 7 · 2016: 8 · 2015: 7 · 2014: 5
FWCI
7.52
Type
journal article
Language
en
Open access
Locations
  • BMC Medical Informatics and Decision Making (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion, cc-by)
  • University of Twente Research Information (publishedVersion, cc-by)
  • University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, cc-by)
  • University of Twente Research Information (submittedVersion, cc-by)
Topics
  • Life Sciences › Immunology and Microbiology › Applied Microbiology and Biotechnology › Antibiotic Use and Resistance
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords
antimicrobial stewardship, nurses, digital health interventions, participatory development, antimicrobial resistance, information needs, task support, patient safety, information infrastructure, clinical protocols, stakeholder engagement
MeSH terms
Adult, Anti-Infective Agents, Humans, Health Knowledge, Attitudes, Practice, Nursing, Program Development, Focus Groups, Telemedicine, Practice Guidelines as Topic

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review