Background: Recent research has shown beneficial results for music-based interventions (MBIs) for persons living with Alzheimer’s disease and related dementias (AD/ADRD), but reports often lack sufficient detail about the MBI methodology, which reduces replicability. A detailed checklist for best practices in how to report MBIs was created in 2011 by Robb and colleagues to remedy the lack of detail in MBI descriptions. The implementation of the checklist specifically in AD/ADRD research has not been established. Given the complexity of music and the variety of uses for research and health, specific MBI descriptions are necessary for rigorous replication and validation of study results. Objective: This systematic mapping review utilized the “Checklist for Reporting Music-Based Interventions” to evaluate the current state of MBI descriptive specificity in AD/ADRD research. Methods: Research articles testing MBIs and reviews of MBI efficacy published between January 2015 and August 2023 were scored using the checklist and the results were summarized. Results: Forty-eight studies were screened, and reporting was inconsistent across the 11 checklist criteria. Ten out of 48 studies fully reported more than 5 of the 11 criteria. Only one of the 11 scoring criteria was at least partially reported across 47 of 48 studies. Conclusions: Thorough reporting of intervention detail for MBIs remains limited in AD/ADRD MBI research. This impedes study validation, replication, and slows the progress of research and potential application of music in practice. Greater implementation of the reporting guidelines provided by Robb and colleagues would move the field of MBI research for AD/ADRD forward more quickly and efficiently. 

Inconsistent Music-Based Intervention Reporting in Dementia Studies: A Systematic Mapping Review

The objective of this research was to determine if a personalized music intervention reduced the frequency of agitated behaviors as measured by structured observations of nursing home (NH) residents with dementia.The design was a parallel, cluster-randomized, controlled trial.The setting was 54 NH (27 intervention, 27 control) from four geographically-diverse, multifacility NH corporations.The participants were 976 NH residents (483 intervention, 493 control) with Alzheimer's disease or related dementias (66% with moderate to severe symptoms); average age 80.3 years (SD: 12.3) and 25.1% were Black.The intervention was individuals' preferred music delivered via a personalized music device.The measurement tool was the Agitated Behavior Mapping Instrument, which captures the frequency of 13 agitated behaviors and five mood states during 3-minute observations.The results show that no verbally agitated behaviors were reported in a higher proportion of observations among residents in NHs randomized to receive the intervention compared to similar residents in NHs randomized to usual care (marginal interaction effect (MIE): 0.061, 95% CI: 0.028-0.061). Residents in NHs randomized to receive the intervention were also more likely to be observed experiencing pleasure compared to residents in usual care NHs (MIE: 0.038; 95% CI: 0.008-0.073)). There was no significant effect of the intervention on physically agitated behaviors, anger, fear, alertness, or sadness.The conclusions are that personalized music may be effective at reducing verbally-agitated behaviors. Using structured observations to measure behaviors may avoid biases of staff-reported measures. 

Using structured observations to evaluate the effects of a personalized music intervention on agitated behaviors and mood in nursing home residents with dementia: results from an embedded, pragmatic randomized controlled trial

Personalization of Reminiscence Therapies in the Nursing Home Setting: Lessons From an Embedded Pragmatic Trial of a Music Intervention.

As part of an Age-Friendly Health System, the geriatric 5Ms framework focuses on five areas that impact quality care for older adults: Medication, Mentation, Mobility, what Matters most, and Multi-complexity.1–3 In itself, What Matters Most is an important concept for providers to better understand older adult goals. This patient-centric topic has been examined in a number of populations and locales, including the emergency department and acute care settings.6–8 However, to our knowledge, there is a lack of information on what matters most to older adults in the postacute or skilled nursing facility setting. Postacute care refers to care provided to patients recently discharged from the hospital, and can take place in settings such as skilled nursing facilities, nursing homes, and rehabilitation centers. Skilled nursing facility care has experienced a number of regulatory changes and guidelines which may or may not reflect what matters most to patients. We sought to characterize what matters most to older adult patients in the postacute setting.

What matters most to older adults in skilled nursing facilities

Demência é uma síndrome que envolve variados sintomas cognitivos e comportamentais, os quais impactam diretamente na qualidade de vida do afetado. A maioria dos tratamentos disponíveis são individuais e fora do padrão econômico geral. Desse modo, a terapia musical se mostra promissora por seu caráter não farmacológico acessível e possibilidade de execução em grandes grupos, o que evidência a relevância desse estudo.

Aplicabilidade da musicoterapia em pacientes com demência: uma revisão integrativa da literatura

In pragmatic trials, on-site partners, rather than researchers, lead intervention delivery, which may result in implementation variation. There is a need to quantitatively measure this variation. Applying the Framework for Implementation Fidelity (FIF), we develop an approach for measuring variability in site-level implementation fidelity. This approach is then applied to measure site-level fidelity in a cluster-randomized pragmatic trial of Music & MemorySM (M&M), a personalized music intervention targeting agitated behaviors in residents living with dementia, in US nursing homes (NHs).Intervention NHs (N = 27) implemented M&M using a standardized manual, utilizing provided staff trainings and iPods for participating residents. Quantitative implementation data, including iPod metadata (i.e., song title, duration, number of plays), were collected during baseline, 4-month, and 8-month site visits. Three researchers developed four FIF adherence dimension scores. For Details of Content, we independently reviewed the implementation manual and reached consensus on six core M&M components. Coverage was the total number of residents exposed to the music at each NH. Frequency was the percent of participating residents in each NH exposed to M&M at least weekly. Duration was the median minutes of music received per resident day exposed. Data elements were scaled and summed to generate dimension-level NH scores, which were then summed to create a Composite adherence score. NHs were grouped by tercile (low-, medium-, high-fidelity).The 27 NHs differed in size, resident composition, and publicly reported quality rating. The Composite score demonstrated significant variation across NHs, ranging from 4.0 to 12.0 [8.0, standard deviation (SD) 2.1]. Scaled dimension scores were significantly correlated with the Composite score. However, dimension scores were not highly correlated with each other; for example, the correlation of the Details of Content score with Coverage was τb = 0.11 (p = 0.59) and with Duration was τb = - 0.05 (p = 0.78). The Composite score correlated with CMS quality star rating and presence of an Alzheimer's unit, suggesting face validity.Guided by the FIF, we developed and used an approach to quantitatively measure overall site-level fidelity in a multi-site pragmatic trial. Future pragmatic trials, particularly in the long-term care environment, may benefit from this approach.Clinicaltrials.gov NCT03821844. Registered on 30 January 2019, https://clinicaltrials.gov/ct2/show/NCT03821844 . 

/pdf/measuring-implementation-fidelity-in-a-cluster-randomized-1ass4mpu.pdf

Measuring implementation fidelity in a cluster-randomized pragmatic trial: development and use of a quantitative multi-component approach

in acute care: an interview study with older people living with frailty. BMC Geriatr. 2022;22(1):156. 6. Col NF, Otero D, Lindman BR, et al. What matters most to patients with severe aortic stenosis when choosing treatment? Framing the conversation for shared decision making. PLoS One. 2022;17(8):e0270209. 7. Vonnes C, Parrish L, El-Rady R, Patterson D, Mason TM. “What matters most” to older adults with cancer: advance care planning. J Hosp Palliat Nurs. 2022;24(4):240-246. 8. Gettel CJ, Venkatesh AK, Dowd H, et al. A qualitative study of “what matters” to older adults in the emergency department. West J Emerg Med. 2022;23(4):579-588. 9. Skilled Nursing Facility (SNF) Definition. Centers for Medicare and Medicaid Services. Accessed September 28, 2022. https:// www.cms.gov/glossary?term=skilled+nursing+facility&items_ per_page=10&viewmode=grid. 10. Skilled Nursing Facility (SNF) Quality Reporting Program Measures and Technical Information. Centers for Medicare and Medicaid Services. Accessed September 28, 2022. Available at https://www.cms.gov/medicare/quality-initiatives-patientassessment-instruments/nursinghomequalityinits/skilled-nursingfacility-quality-reporting-program/snf-quality-reporting-programmeasures-and-technical-information.

Training independent observers to identify behavioral symptoms in nursing home residents with dementia using the agitated behavior mapping instrument

Pragmatic Trial of Personalized Music for Agitation and Antipsychotic Use in Nursing Home Residents With Dementia

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Esme E. Zediker

Author Tools

Chat about Author

Papers

Measuring implementation fidelity in a cluster-randomized pragmatic trial: development and use of a quantitative multi-component approach

Training independent observers to identify behavioral symptoms in nursing home residents with dementia using the agitated behavior mapping instrument

Pragmatic Trial of Personalized Music for Agitation and Antipsychotic Use in Nursing Home Residents With Dementia