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Record W2611395461 · doi:10.1186/s12904-017-0203-2

Keep in Touch (KIT): feasibility of using internet-based communication and information technology in palliative care

2017· article· en· W2611395461 on OpenAlex
Qiaohong Guo, Beverley Cann, Susan McClement, Genevieve Thompson, Harvey Max Chochinov

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBMC Palliative Care · 2017
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of ManitobaCancerCare Manitoba
Fundersnot available
KeywordsPalliative careLaptopThe InternetSocial connectednessNursingInternet privacyPsychologyQualitative propertyHealth careQualitative researchMedicineWorld Wide WebSocial psychologyComputer scienceSociology

Abstract

fetched live from OpenAlex

BACKGROUND: Confinement to an in-patient hospital ward impairs patients' sense of social support and connectedness. Providing the means, through communication technology, for patients to maintain contact with friends and family can potentially improve well-being at the end of life by minimizing social isolation and facilitating social connection. This study aimed to explore the feasibility of introducing internet-based communication and information technologies for in-patients and their families and to describe their experience in using this technology. METHODS: A cross-sectional survey design was used to describe patient and family member experiences in using internet-based communication technology and health care provider views of using such technology in palliative care. Participants included 13 palliative in-patients, 38 family members, and 14 health care providers. An iPad or a laptop computer with password-protected internet access was loaned to each patient and family member for about two weeks or they used their own electronic devices for the duration of the patient's stay. Quantitative and qualitative data were collected from patients, families, and health care providers to discern how patients and families used the technology, its ease of use and its impact. Descriptive statistics and paired sample t-tests were used to analyze quantitative data; qualitative data were analyzed using constant comparative techniques. RESULTS: Palliative patients and family members used the technology to keep in touch with family and friends, entertain themselves, look up information, or accomplish tasks. Most participants found the technology easy to use and reported that it helped them feel better overall, connected to others and calm. The availability of competent, respectful, and caring technical support personnel was highly valued by patients and families. Health care providers identified that computer technology helped patients and families keep others informed about the patient's condition, enabled sharing of important decisions and facilitated access to the outside world. CONCLUSIONS: This study confirmed the feasibility of offering internet-based communication and information technologies on palliative care in-patient units. Patients and families need to be provided appropriate technical support to ensure that the technology is used optimally to help them accomplish their goals.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.801

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.181
GPT teacher head0.448
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it