Evidence map›Paper›PMID 40425254›Full record

ArticleBMJ open2025

Developing a data-informed care planning improvement intervention in long-term care in Nova Scotia: protocol for an advisory-led interpretive qualitative study.

Michael Kalu, Nazanin Nasiri, Andrea Iaboni, Parisa Ghanouni, John Hirdes, Steve Iduye, Elaine Moody, Kathleen Norman, Samuel Searle, Olga Theou and 4 more

Abstract read
In one paragraph

Article in BMJ open, 2025. 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. Review
  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

14 authors.

Michael KaluYork University, Toronto, Ontario, Canada mkalu@yorku.ca.ORCID http://orcid.org/0000-0003-2070-2213
Nazanin NasiriDalhousie University, Halifax, Nova Scotia, Canada.
Andrea IaboniUniversity Health Network, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0003-4268-6832
Parisa GhanouniDalhousie University, Halifax, Nova Scotia, Canada.
John HirdesHealth Studies and Gerontology, University of Waterloo, Waterloo, Ontario, Canada.ORCID http://orcid.org/0000-0001-9619-6543
Steve IduyeRankin School of Nursing, St Francis Xavier University, Antigonish, Nova Scotia, Canada.
Elaine MoodySchool of Nursing, Dalhousie University, Halifax, Nova Scotia, Canada.
Kathleen NormanShannex Inc, Halifax, Nova Scotia, Canada.
Samuel SearleDepartment of Geriatric Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.
Olga TheouDalhousie University, Halifax, Nova Scotia, Canada.
Luke TurcotteDepartment of Health Sciences, Brock University, St Catharines, Ontario, Canada.
Linda VerlindenMaritime SPOR Support Unit Halifax, Halifax, Nova Scotia, Canada.
Lori E WeeksSchool of Nursing, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID http://orcid.org/0000-0001-5334-3320
Caitlin McArthurSchool of Physiotherapy, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID http://orcid.org/0000-0001-9985-2796

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe quality of care provided in long-term care (LTC) homes has been a concern for many years, and the COVID-19 pandemic has further raised awareness of this issue. Care planning helps identify and prioritise areas to improve LTC residents' health. Data are routinely collected to support care planning, for example, the interRAI LTC facilities instrument and real-time location systems. However, the best way to use these data to inform care planning and decision-making while including residents and family members remains elusive. This study aims to develop a METHODS AND ANALYSIS: An advisory committee of residents, family members and LTC staff will provide study oversight of this ETHICS AND DISSEMINATION: This study has been approved by the Dalhousie University Health Sciences Research Ethics Board. Informed consent will be obtained from all participants or their substitute decision-makers before they take part in interviews, focus group discussions and care observations. Data will be de-identified, and privacy and confidentiality will be maintained through secure storage and handling of both electronic and physical documents. Study findings will be shared with participants through lay summaries and infographics after the second interview and observation, as well as at the conclusion of the study. Results will also be disseminated to researchers, healthcare professionals and LTC providers across Canada via presentations at local, national and international conferences, publications in open-access journals and through print and video materials tailored to the audience.

Indexed as

COVID-19Long-Term CareNursing HomesPatient Care PlanningQuality ImprovementAdvisory CommitteesHumansNova ScotiaQualitative ResearchResearch DesignSARS-CoV-2AgedHealth LiteracyREHABILITATION MEDICINE

Identifiers

PMID40425254
PMCPMC12107560

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.