The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Initial Assessment of a New Instrument to Measure Quality of Life at the End of Life
Abstract
PURPOSE: We conducted this study to pilot a new multidimensional instrument to assess the quality of life at the end of life. METHODS: Items were derived from focus groups and a national survey identifying attributes of the quality of dying. Fifty-four items measured on a five-point Likert scale covered six domains. We administered the instrument to equal numbers of Veteran's Administration (VA) and university medical center outpatients with advanced serious illness. We assessed psychometric properties using factor analysis. RESULTS: Two hundred patients completed the instrument (response rate, 85%). Diagnoses included cancer (64%), congenital heart failure (CHF) (19.5%), end-stage renal disease (ESRD) (10%) and chronic obstructive pulmonary disease (COPD) (6.5%). Seventy-four percent were male, 64% were caucasian, and 34% African American. Item reduction and factor analysis yielded a final instrument with 24 items in 5 distinct domains (overall Cronbach a = 0.83). The first factor (6 items; a = 0.84) measured a sense of completion, particularly through contributions to others. The second factor (7 items; alpha = 0.77) measured relations with the health care system. The third factor (6 items; alpha = 0.77) measured preparation. The fourth factor (4 items; alpha = 0.77) measured symptom severity, and the final factor (2 items; alpha = 0.60) measured affective social support. CONCLUSIONS: We have developed a new instrument to measure the quality of life at the end of life that assesses empirically derived domains that are of demonstrated importance to dying patients, is acceptable to a seriously ill population, and exhibits excellent psychometric properties. Some items related to completion and preparation represent particularly new contributions to quality-of-life measurement.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The functional assessment of cancer therapy scale: development and validation of the general measure
Cella, D. F., Tulsky, D. S., Gray, G., Sarafian, B., Linn, E., Bonomi, A., Silberman, M., Yellen, S. B., Winicour, P., & Brannon, J. (1993) · Journal of Clinical Oncology · doi:10.1200/jco.1993.11.3.570 · Cited by 6,020
Relation of sample size to the stability of component patterns.
Guadagnoli, E., & Velicer, W. F. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.2.265 · Cited by 2,880
Quality End-of-Life Care: Patients' Perspectives
Singer, P. A., Martin, D. K., & Kelner, M. (1999) · JAMA · doi:10.1001/jama.281.2.163 · Cited by 1,287
Abbreviated instrument to measure hope: development and psychometric evaluation
Herth, K. (1992) · Journal of Advanced Nursing · doi:10.1111/j.1365-2648.1992.tb01843.x · Cited by 1,109
Cited by
Groenvold, M., Petersen, M. A., Aaronson, N. K., Arraras, J. I., Blazeby, J. M., Bottomley, A., Fayers, P. M., de Graeff, A., Hammerlid, E., Kaasa, S., et al. (2006) · European Journal of Cancer · doi:10.1016/j.ejca.2005.06.022 · Cited by 678
Rodin, G., Lo, C., Rydall, A., Shnall, J., Malfitano, C., Chiu, A., Panday, T., Watt, S., An, E., Nissim, R., et al. (2018) · Journal of Clinical Oncology · doi:10.1200/jco.2017.77.1097 · Cited by 338
Heart failure: the hidden problem of pain
Goebel, J. R., Doering, L. V., Shugarman, L. R., Asch, S. M., Sherbourne, C. D., Lanto, A. B., Evangelista, L. S., Nyamathi, A. M., Maliski, S. L., & Lorenz, K. A. (2009) · Journal of Pain and Symptom Management · doi:10.1016/j.jpainsymman.2009.04.022 · Cited by 92
Metadata
- Authors
- Steinhauser, K. E., Bosworth, H. B., Clipp, E. C., McNeilly, M., Christakis, N. A., Parker, J., & Tulsky, J. A.
- Venue
- Journal of Palliative Medicine
- Publisher
- SAGE Publications
- Published
- 2002-12
- Volume
- 5
- Issue
- 6
- Pages
- 829-841
- ISSN
- 1096-6218 (ISSN-L)
- 1557-7740
- OpenAlex
- W2053125729
- Cited by
- 175
- References
- 4
- FWCI
- 6.00
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Initial Assessment of a New Instrument to Measure Quality of Life at the End of Life. https://app.cochat.ai/papers/10.1089/10966210260499014
- The paper
- Steinhauser, K. E., Bosworth, H. B., Clipp, E. C., McNeilly, M., Christakis, N. A., Parker, J., & Tulsky, J. A. (2002). Initial Assessment of a New Instrument to Measure Quality of Life at the End of Life. Journal of Palliative Medicine. https://doi.org/10.1089/10966210260499014
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.