1718192021222320 of 46
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Daily Monitoring of Behavioral and Psychological Symptoms of Dementia in Residential Care: Mixed Methods Pilot Study
Blekinge Institute of Technology, Faculty of Engineering, Department of Health.ORCID iD: 0009-0005-1226-5422
Jonkoping University.
Jonkoping University.
Jonkoping University.
Show others and affiliations
2026 (English)In: JMIR Aging, E-ISSN 2561-7605, Vol. 9, article id e98024Article in journal (Refereed) Published
Abstract [en]

Background: Many clinically relevant aspects of health are expressed through behavior, affect, and interaction, and therefore rely on observation rather than instrumental measurement; yet such information is often documented infrequently in routine care. Dementia, and particularly behavioral and psychological symptoms of dementia (BPSD), is a relevant case because symptoms fluctuate across time and context. Little is known about how structured daily symptom assessment can be integrated into routine dementia care practice.

Objective: This pilot study aimed to investigate whether structured daily observation of BPSD, supported by digital documentation, can be incorporated into everyday residential dementia care.

Methods: A convergent mixed methods design was applied across 4 nursing home units in southern Sweden. Feasibility was operationalized through 4 focus areas (implementation, practicality, acceptability, and integration), with adherence to the registration routine as the primary feasibility outcome. Quantitative data comprised structured registrations collected daily by care staff over 90 days for 8 residents with BPSD, analyzed descriptively, and interpreted using selected NASSS (nonadoption, abandonment, scale-up, spread, and sustainability) framework domains to contextualize variation in symptom patterns, adherence, and registration practices. Semistructured dyadic interviews were analyzed using deductive content analysis guided by the same domains, with integration occurring at the analytical and interpretive stages.

Results: A total of 21,993 item-level registrations were completed: 19,123 NPI-NH (Neuropsychiatric Inventory-Nursing Home version) symptom ratings, recorded across 1623 shift registrations (1 per resident per shift), and 2870 individually selected variables. Overall adherence to the registration routine averaged 75% across shifts but varied considerably between residents (range 33%-90%) and between staff members. Mean time per shift registration decreased from 77.1 seconds in the initial 30-day period to 46.2 seconds in the final 30-day period (P=.008). Symptom prevalence varied widely across NPI domains (7.5% to 38.1% of observation days), and daily symptom counts varied both between and within residents. The routine was experienced as technically straightforward and easy to incorporate into daily work. At the same time, challenges emerged, including time constraints, inconsistent participation, varying levels of interpretive confidence, and difficulties distinguishing among overlapping symptoms. Organizational routines and team stability were central to sustaining staff engagement.

Conclusions: The high number of completed registrations indicates that daily observations can be integrated into daily dementia care. The participants perceived it as meaningful and useful. Feasibility was primarily influenced by organizational and interpretive factors rather than technical constraints. Further research should explore strategies to support shared routines and sustain engagement over time.

Place, publisher, year, edition, pages
JMIR Publications, 2026. Vol. 9, article id e98024
Keywords [en]
behavioral and psychological symptoms of dementia, BPSD, dementia care, digital health, high-frequency observational data, mixed methods research, Neuropsychiatric Inventory, NPI, pilot study, residential care
National Category
Nursing
Identifiers
URN: urn:nbn:se:bth-30394DOI: 10.2196/98024ISI: 001835273200001PubMedID: 42492088OAI: oai:DiVA.org:bth-30394DiVA, id: diva2:2092007
Funder
Forte, Swedish Research Council for Health, Working Life and Welfare, 2021-01792Available from: 2026-08-13 Created: 2026-08-13 Last updated: 2026-08-13Bibliographically approved

Open Access in DiVA

fulltext(1318 kB)12 downloads
File information
File name FULLTEXT01.pdfFile size 1318 kBChecksum SHA-512
8821e26cff353ab36ba50158c77c68c86106798c512a936591298a3b81f301e35e0a24e251e2003ea5329e9f79cec3b6f49562a26bd673253d56df18dad48e04
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMed

Authority records

Malm, Johannes

Search in DiVA

By author/editor
Malm, Johannes
By organisation
Department of Health
In the same journal
JMIR Aging
Nursing

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 465 hits
1718192021222320 of 46
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf