Symptom cluster research

Conceptual, design, measurement, and analysis issues

Andrea M. Barsevick, Kyra Whitmer, Lillian Nail, Susan L. Beck, William N. Dudley

    Research output: Contribution to journalArticle

    182 Citations (Scopus)

    Abstract

    Cancer patients may experience multiple concurrent symptoms caused by the cancer, cancer treatment, or their combination. The complex relationships between and among symptoms, as well as the clinical antecedents and consequences, have not been well described. This paper examines the literature on cancer symptom clusters focusing on the conceptualization, design, measurement, and analytic issues. The investigation of symptom clustering is in an early stage of testing empirically whether the characteristics defined in the conceptual definition can be observed in cancer patients. Decisions related to study design include sample selection, the timing of symptom measures, and the characteristics of symptom interventions. For self-report symptom measures, decisions include symptom dimensions to evaluate, methods of scaling symptoms, and the time frame of responses. Analytic decisions may focus on the application of factor analysis, cluster analysis, and path models. Studying the complex symptoms of oncology patients will yield increased understanding of the patterns of association, interaction, and synergy of symptoms that produce specific clinical outcomes. It will also provide a scientific basis and new directions for clinical assessment and intervention.

    Original languageEnglish (US)
    Pages (from-to)85-95
    Number of pages11
    JournalJournal of Pain and Symptom Management
    Volume31
    Issue number1
    DOIs
    StatePublished - Jan 2006

    Fingerprint

    Research Design
    Neoplasms
    Cluster Analysis
    Self Report
    Statistical Factor Analysis
    Therapeutics

    Keywords

    • Quality of life
    • Symptom clusters
    • Symptom management
    • Symptoms

    ASJC Scopus subject areas

    • Anesthesiology and Pain Medicine
    • Clinical Neurology
    • Neurology
    • Nursing(all)

    Cite this

    Symptom cluster research : Conceptual, design, measurement, and analysis issues. / Barsevick, Andrea M.; Whitmer, Kyra; Nail, Lillian; Beck, Susan L.; Dudley, William N.

    In: Journal of Pain and Symptom Management, Vol. 31, No. 1, 01.2006, p. 85-95.

    Research output: Contribution to journalArticle

    Barsevick, Andrea M. ; Whitmer, Kyra ; Nail, Lillian ; Beck, Susan L. ; Dudley, William N. / Symptom cluster research : Conceptual, design, measurement, and analysis issues. In: Journal of Pain and Symptom Management. 2006 ; Vol. 31, No. 1. pp. 85-95.
    @article{9a935b0412c54ad2bd7ba1a0a462d174,
    title = "Symptom cluster research: Conceptual, design, measurement, and analysis issues",
    abstract = "Cancer patients may experience multiple concurrent symptoms caused by the cancer, cancer treatment, or their combination. The complex relationships between and among symptoms, as well as the clinical antecedents and consequences, have not been well described. This paper examines the literature on cancer symptom clusters focusing on the conceptualization, design, measurement, and analytic issues. The investigation of symptom clustering is in an early stage of testing empirically whether the characteristics defined in the conceptual definition can be observed in cancer patients. Decisions related to study design include sample selection, the timing of symptom measures, and the characteristics of symptom interventions. For self-report symptom measures, decisions include symptom dimensions to evaluate, methods of scaling symptoms, and the time frame of responses. Analytic decisions may focus on the application of factor analysis, cluster analysis, and path models. Studying the complex symptoms of oncology patients will yield increased understanding of the patterns of association, interaction, and synergy of symptoms that produce specific clinical outcomes. It will also provide a scientific basis and new directions for clinical assessment and intervention.",
    keywords = "Quality of life, Symptom clusters, Symptom management, Symptoms",
    author = "Barsevick, {Andrea M.} and Kyra Whitmer and Lillian Nail and Beck, {Susan L.} and Dudley, {William N.}",
    year = "2006",
    month = "1",
    doi = "10.1016/j.jpainsymman.2005.05.015",
    language = "English (US)",
    volume = "31",
    pages = "85--95",
    journal = "Journal of Pain and Symptom Management",
    issn = "0885-3924",
    publisher = "Elsevier Inc.",
    number = "1",

    }

    TY - JOUR

    T1 - Symptom cluster research

    T2 - Conceptual, design, measurement, and analysis issues

    AU - Barsevick, Andrea M.

    AU - Whitmer, Kyra

    AU - Nail, Lillian

    AU - Beck, Susan L.

    AU - Dudley, William N.

    PY - 2006/1

    Y1 - 2006/1

    N2 - Cancer patients may experience multiple concurrent symptoms caused by the cancer, cancer treatment, or their combination. The complex relationships between and among symptoms, as well as the clinical antecedents and consequences, have not been well described. This paper examines the literature on cancer symptom clusters focusing on the conceptualization, design, measurement, and analytic issues. The investigation of symptom clustering is in an early stage of testing empirically whether the characteristics defined in the conceptual definition can be observed in cancer patients. Decisions related to study design include sample selection, the timing of symptom measures, and the characteristics of symptom interventions. For self-report symptom measures, decisions include symptom dimensions to evaluate, methods of scaling symptoms, and the time frame of responses. Analytic decisions may focus on the application of factor analysis, cluster analysis, and path models. Studying the complex symptoms of oncology patients will yield increased understanding of the patterns of association, interaction, and synergy of symptoms that produce specific clinical outcomes. It will also provide a scientific basis and new directions for clinical assessment and intervention.

    AB - Cancer patients may experience multiple concurrent symptoms caused by the cancer, cancer treatment, or their combination. The complex relationships between and among symptoms, as well as the clinical antecedents and consequences, have not been well described. This paper examines the literature on cancer symptom clusters focusing on the conceptualization, design, measurement, and analytic issues. The investigation of symptom clustering is in an early stage of testing empirically whether the characteristics defined in the conceptual definition can be observed in cancer patients. Decisions related to study design include sample selection, the timing of symptom measures, and the characteristics of symptom interventions. For self-report symptom measures, decisions include symptom dimensions to evaluate, methods of scaling symptoms, and the time frame of responses. Analytic decisions may focus on the application of factor analysis, cluster analysis, and path models. Studying the complex symptoms of oncology patients will yield increased understanding of the patterns of association, interaction, and synergy of symptoms that produce specific clinical outcomes. It will also provide a scientific basis and new directions for clinical assessment and intervention.

    KW - Quality of life

    KW - Symptom clusters

    KW - Symptom management

    KW - Symptoms

    UR - http://www.scopus.com/inward/record.url?scp=31344433686&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=31344433686&partnerID=8YFLogxK

    U2 - 10.1016/j.jpainsymman.2005.05.015

    DO - 10.1016/j.jpainsymman.2005.05.015

    M3 - Article

    VL - 31

    SP - 85

    EP - 95

    JO - Journal of Pain and Symptom Management

    JF - Journal of Pain and Symptom Management

    SN - 0885-3924

    IS - 1

    ER -