ArticleNursing inquiry2020
A dimensional analysis of inner strength in people ageing with serious illness.
Article in Nursing inquiry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Inner Strength-A Systematic Review of Qualitative Empirical Studies.Scandinavian journal of caring sciences · 2025Pooled it
- "I'm his brain": A qualitative study of care partners supporting the inner strength of persons living with mild cognitive impairment.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- The mediating effect of positive coping in the association between inner strength and demoralization in lung cancer chemotherapy patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Top Ten Tips Palliative Care Clinicians Should Know About Attending to the Existential Experience.Journal of palliative medicine · 2024Article
- The Listening Guide: Illustrating an underused voice-centred methodology to foreground underrepresented research populations.Journal of advanced nursing · 2024Article
- Clinician distress in seriously ill patient care: A dimensional analysis.Nursing ethics · 2022Article
- Article
- Experiences of inner strength in persons newly diagnosed with mild cognitive impairment: A qualitative study.Geriatric nursing (New York, N.Y.)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Nursing models of care show promise in addressing the needs of older adults facing serious illness through supporting inner strength. However, previous conceptual and theoretical models of inner strength are limited. This concept analysis used dimensional analysis methods to explore inner strength in people ageing with serious illness to address limitations by defining a pragmatic, data-driven model. This study analyzed published literature of adults with serious illness that describes inner strength. Thirty articles were selected after review. The result was an explanatory matrix that describes inner strength from the perspective of where have I been, where am I going? within the context of being a person who is living and dies and you have a serious illness. The conditions spotlighting by actors around me and taking stock of others and ideas lead to processes of looking in/looking out and seeing me as I'm seen. The final consequence of this process is meeting me. This updated concept analysis of inner strength improves upon previous models by providing a clinically relevant situation-specific model of inner strength for people with serious illness. Implications for nursing scholarship and practice are described including exploration of person-centered care, relational practice, and health communication.
Indexed as
Identifiers
What OpenQuestion holds
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.