Evidence map›Paper›PMID 28423935›Full record

ArticleAmerican journal of Alzheimer's disease and other dementias2017

Supporting Simple Activity Engagement in Persons With Moderate to Severe Alzheimer's Disease Through a Technology-Aided Program.

Giulio E Lancioni, Nirbhay N Singh, Mark F O'Reilly, Jeff Sigafoos, Fiora D'Amico, Katia Pinto, Claudia Chiapparino

Abstract read
In one paragraph

Article in American journal of Alzheimer's disease and other dementias, 2017. 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. Article
  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

7 authors.

Giulio E Lancioni1 Department of Neuroscience and Sense Organs, University of Bari, Bari, Italy.
Nirbhay N Singh2 Medical College of Georgia, Augusta University, Augusta, GA, USA.
Mark F O'Reilly3 Department of Special Education, University of Texas at Austin, Austin, TX, USA.
Jeff Sigafoos4 School of Education, Victoria University of Wellington, Wellington, New Zealand.
Fiora D'Amico5 S. Raffaele Medical Care Centers, Bari, Italy.
Katia Pinto6 Alzheimer Center, Bisceglie, Italy.
Claudia Chiapparino7 Alzheimer Family Services, Bari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThese 2 studies assessed a technology-aided program to support mild physical exercise or simple occupational activity in participants with moderate to severe Alzheimer's disease.

methodsStudy 1 included 11 participants who were to perform a leg-raising response. Study 2 included 10 participants who were to sort objects into different containers. The program ensured that they received positive stimulation contingent on the responses and reminders/prompts after periods of nonresponding. Each study was carried out according to a nonconcurrent multiple baseline design across participants.

resultsThe program was successful in supporting mild physical exercise and activity with objects in the 2 groups of participants, respectively. The participants also showed signs of positive involvement (eg, smiles and verbalizations) during the sessions. Moreover, staff personnel rated the program and its impact positively.

conclusionThe program may be considered a practical resource for supporting positive engagement in persons with moderate to severe Alzheimer's disease.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseExercise TherapyFemaleHumansMaleOccupational TherapySeverity of Illness IndexTherapy, Computer-AssistedTreatment OutcomeactivityAlzheimer’s diseasecontingent stimulationreminderstechnology

Identifiers

PMID28423935
PMCPMC10852665

What OpenQuestion holds

Textmetadata
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Registered trials

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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.