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Measuring Eastern Family Care

2010· letter· en· W1500458564 on OpenAlexafffundabout
Teresa Chiu, Günther Eysenbach

Bibliographic record

VenueJournal of the American Geriatrics Society · 2010
Typeletter
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsUniversity of TorontoUniversity Health Network
FundersCanadian Institutes of Health Research
KeywordsMedicinePopulationScale (ratio)Thematic analysisFamily caregiversNonprobability samplingGerontologyQualitative researchFamily medicineSociologySocial scienceEnvironmental health

Abstract

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To the Editor: Caring for aged parents has remained an unquestionable virtue in Chinese and other East Asian societies.1,2 In contrast, elder care is a shared responsibility of older adults themselves, the family, and society in Euro-American societies.1 Because of cultural differences, beliefs valued by Chinese caregivers are found missing in translated caregiver scales.3 Therefore, a culturally sensitive instrument for the Eastern population was developed to evaluate a new online intervention for Chinese-Canadian family caregivers.4 This letter reports on the development of this new scale: the Eastern Family Care (EFC). The EFC scale was developed in two substudies. The methods of the main study have been reported elsewhere.4 Ethics approvals were obtained from the study sites. Study 1 used in-depth interviews to generate EFC items. Participants were selected using purposive sampling. The interviews were translated and transcribed verbatim and then coded line by line. Thematic analysis, constant comparisons, and analytical memoing were used to identify salient themes.5 Study 2 tested the 25 items generated from Study 1. First, items in each theme were subjected to a principal component analysis. To minimize unstable solutions because of the small sample size, only scales that were reduced to a singular factor were selected, and items with a loading less than 0.6 were excluded. Next, associations between the EFC and Burden Scale for Family Caregiver (BSFC)6 were assessed. It was hypothesized a priori that EFC would be mildly to moderately correlated with BSFC. All measures were available in English and Chinese. Ten caregivers participated in Study 1 and 20 in Study 2. A typical caregiver was female, in her 50s, had college or university education, had immigrated 10 to 20 years earlier, and had provided care for more than 20 hours a week. Four salient themes were identified, which described the caregiving experience of the participants. Embracing traditional family values: Taking care of their parents was more than a responsibility; it was a way of life. One caregiver said, “It is a few thousand years of Confucian thinking. … The younger ones should take care of the elderly. But in Western education, there is nothing like this.” Not knowing enough: Caregivers felt that they did not know enough about dementia and did not provide good enough care. A caregiver said, “For example, she had hallucinations, about Hong Kong's stuff. She saw many people in the house, many kids. [I wondered] ‘Why was it like this?’” Trying hard to stay calm. A caregiver said, “[We have learned that] our family, family members, parents, and so on, … [should] get along harmoniously.” Therefore, having conflicts with their parents was the caregivers' greatest emotional struggle. They tried hard to avoid reacting emotionally but felt frustrated because it was not easy to stay calm. Not knowing whom to ask: When caregivers needed help, they were not sure where to get help, whom to ask, and whether they were doing the right thing or not. For instance, a caregiver said, “The bath tub … should have a hand rail. … Do I go and get someone to install it?” Factor analysis resulted in four constructs of the EFC: the Caregiving Belief Scale (CBS), the Caregiver Competence Scale (CCS), the Caregiving Interaction Scale (CIS), and the Support Resources Scale (SRS) (Table 1). Alphas ranged from 0.760 to 0.885, and the variances explained ranged from 60.5% to 75.4%. Correlation analysis showed each scale contributing to a unique dimension of the EFC. The CCS was moderately correlated with CIS (correlation coefficient (r)=0.665, P=.004) and SRS (r=0.535, P=.03), whereas the CIS and SRS were not correlated with one another. The CBS was not correlated with the CCS, CIS, or SRS. The BSFC was correlated with the SRS (r=−0.622, P=.006) but not with the CBS, CIS, or CCS. The results supported the hypothesis that the construct of the EFC contained caregiving quality that is missing in Western caregiving measures. This study supports the need for a measure of family care for the Eastern culture. The EFC consisted of four distinct caregiving constructs: belief, competence, interaction, and resources. Of the four constructs, only the SRS was correlated with the BSFC, although the sample size was small, and the sample was restricted to caregivers enrolled in the online intervention. The preliminary findings confirm the need for the continuous development of the EFC as a potential tool for understanding the unique needs of caregivers who value traditional beliefs of the Eastern culture. Special thanks go to Dr. Rhonda Cockerill and Dr. Mark Chignell for their guidance to the first author when completing this study as part of her PhD thesis. We thank the family caregivers who participated in the study. Conflict of Interest: The editor in chief has reviewed the conflict of interest checklist provided by the authors and has determined that the authors have no financial or any other kind of personal conflicts with this paper. This study was supported in part by the Alzheimer Society of Canada, Toronto, Ontario, and by a fellowship award from the Canadian Institutes of Health Research, Ottawa, Ontario (Dr. Chiu). Author Contributions: T. Chiu: Study concept and design, acquisition of subjects and data, analysis and interpretation of data, and preparation of manuscript. G. Eysenbach: study concept and design, analysis and interpretation of data, and preparation of manuscript. Sponsor's Role: The funders had no role in the design and conduct of the study, collection, analysis, and interpretation of the data; or preparation, review, or approval of the manuscript.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.033
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0100.002

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 head0.020
GPT teacher head0.262
Teacher spread0.242 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2010
Admission routes3
Has abstractyes

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