The meaning of preparedness for informal caregivers of older adults: A concept analysis
Bibliographic record
Abstract
AIM: To examine the concept of preparedness over time in research with informal caregivers of older adults. DESIGN: Concept analysis. METHODS: Rodgers' evolutionary method of concept analysis was used to guide this theoretical paper due to the dynamic nature of preparedness, which is influenced by both context and time. Using Rodgers' inductive approach, concept elements were derived from a content analysis of included studies. In the final step, to generate hypotheses and implications regarding the concept, the conceptual structure of preparedness of informal caregivers of older adults was connected to a theoretical problem in the nursing discipline using the Caregiving Stress Process Framework. DATA SOURCES: Four databases (EBSCO CINAHL, Ovid MEDLINE, Ovid PsycINFO and Scopus) were searched in November 2022 and updated in September 2023. No date limits were set for searching, as the intent was to analyse possible variations of the concept over time. RESULTS: The attributes of preparedness include self-confidence, having knowledge, skills and abilities to perform daily tasks, handling emotions and developed over time. These attributes can be compared with the stressors outlined in the Caregiving Stress Process Framework (i.e., the moment the caregiver identifies some 'stressor'; something that prevents them from feeling confident in their preparedness). CONCLUSION: The concept of preparedness of informal caregivers of older adults is defined as caregiver's self-confidence about their current competence related to the knowledge, skills and abilities to perform daily tasks, and to handle emotions over time. To link the concept to a theoretical perspective, we propose adaptations to a well-known theory, the Caregiving Stress Process Framework. Future research on caregiving preparedness needs to avoid circular definitions and work with the attributes of preparedness to support caregivers. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: This paper contributes to the development of interventions that focus on the health and preparedness of informal caregivers of older adults. Clarifying the concept of preparedness helps nurses to support caregivers since it is then known which aspects are included in the preparedness of caregivers (e.g., daily tasks and handling emotions). A more fulsome understanding of preparedness supports us to see beyond stressors of caregiving. IMPACT: This study addresses informal caregivers of older adults' preparedness to provide care. We synthesized existing definitions that have been used in research with this population to propose a robust conceptualization of the concept of preparedness, which contributes to better understanding of how preparedness can be supported. REPORTING METHOD: We were unable to locate a reporting method related to this kind of work (concept analysis). PATIENT OR PUBLIC CONTRIBUTION: Not applicable as no new data generated.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.027 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.007 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.007 | 0.011 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".