Evidence map›Paper›PMID 32597999›Full record

ArticleJournal of gerontological nursing2020

Technology for Healthy Independent Living: Creating a Tailored In-Home Sensor System for Older Adults and Family Caregivers.

Erin L Robinson, Geunhye Park, Kari Lane, Marjorie Skubic, Marilyn Rantz

Registry-linked trialAbstract read
In one paragraph

Article in Journal of gerontological nursing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05379504 (Reducing COVID-19 Related Disability in Rural Community-Dwelling Older Adults Using Smart Technology), which is not on this map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–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.

NCT05379504 nacompletednot on this mapstarted 2022, after this paper: background citation

Reducing COVID-19 Related Disability in Rural Community-Dwelling Older Adults Using Smart Technology

TypeinterventionalSponsorUniversity of Missouri-ColumbiaRan2022 to 2024Enrolled58ConditionsQuality of Life, Disabilities MultipleArmsStandard Health Education, Self Management
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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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

5 authors.

Erin L Robinson
Geunhye Park
Kari Lane
Marjorie Skubic
Marilyn Rantz

Funding

Customized Health Alerts and Consumer-Centered Interfaces Using In-Home and Wearable SensorsR01NR016423 · NINR · UNIVERSITY OF MISSOURI-COLUMBIA · PI SKUBIC, MARJORIE · 2018 to 2021
$2.4M
NINR NIH HHS R01 NR016423
6 · The paper itself

Abstract

Sensing technologies hold enormous potential for early detection of health changes that can dramatically affect the aging experience. In previous work, we developed a health alert system that captures and analyzes in-home sensor data. The purpose of this research was to collect input from older adults and family members on how the health information generated can best be adapted, such that older adults and family members can better self-manage their health. Five 90-minute focus groups were conducted with 23 older adults (mean age = 80 years; 87% female) and five family members (mean age = 64; 100% female). Participants were asked open-ended questions about the sensor technology and methods for interacting with their health information. Participants provided feedback regarding tailoring the technology, such as delegating access to family and health care providers, receiving health messages and alerts, interpreting health messages, and graphic display options. Participants also noted concerns and future likelihood of technology adoption. [Journal of Gerontological Nursing, 46(7), 35-40.].

Indexed as

Attitude to ComputersCaregiversRemote Sensing TechnologyTechnologyAgedAged, 80 and overFemaleFocus GroupsHome Care ServicesHumansIndependent LivingMaleMiddle Aged

Identifiers

PMID32597999
PMCPMC7577641

What OpenQuestion holds

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Registered trials

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.