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Yackel HD, Halpenny B, Abrahm JL, Ligibel J, Enzinger A, Lobach DF, Cooley ME. A qualitative analysis of algorithm-based decision support usability testing for symptom management across the trajectory of cancer care: one size does not fit all. BMC Med Inform Decis Mak 2024; 24:63. [PMID: 38443870 PMCID: PMC10913367 DOI: 10.1186/s12911-024-02466-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 02/22/2024] [Indexed: 03/07/2024] Open
Abstract
BACKGROUND Adults with cancer experience symptoms that change across the disease trajectory. Due to the distress and cost associated with uncontrolled symptoms, improving symptom management is an important component of quality cancer care. Clinical decision support (CDS) is a promising strategy to integrate clinical practice guideline (CPG)-based symptom management recommendations at the point of care. METHODS The objectives of this project were to develop and evaluate the usability of two symptom management algorithms (constipation and fatigue) across the trajectory of cancer care in patients with active disease treated in comprehensive or community cancer care settings to surveillance of cancer survivors in primary care practices. A modified ADAPTE process was used to develop algorithms based on national CPGs. Usability testing involved semi-structured interviews with clinicians from varied care settings, including comprehensive and community cancer centers, and primary care. The transcripts were analyzed with MAXQDA using Braun and Clarke's thematic analysis method. A cross tabs analysis was also performed to assess the prevalence of themes and subthemes by cancer care setting. RESULTS A total of 17 clinicians (physicians, nurse practitioners, and physician assistants) were interviewed for usability testing. Three main themes emerged: (1) Algorithms as useful, (2) Symptom management differences, and (3) Different target end-users. The cross-tabs analysis demonstrated differences among care trajectories and settings that originated in the Symptom management differences theme. The sub-themes of "Differences between diseases" and "Differences between care trajectories" originated from participants working in a comprehensive cancer center, which tends to be disease-specific locations for patients on active treatment. Meanwhile, participants from primary care identified the sub-theme of "Differences in settings," indicating that symptom management strategies are care setting specific. CONCLUSIONS While CDS can help promote evidence-based symptom management, systems providing care recommendations need to be specifically developed to fit patient characteristics and clinical context. Findings suggest that one set of algorithms will not be applicable throughout the entire cancer trajectory. Unique CDS for symptom management will be needed for patients who are cancer survivors being followed in primary care settings.
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Affiliation(s)
| | - Barbara Halpenny
- Dana-Farber Cancer Institute, 450 Brookline Ave, LW-508, 02215, Boston, MA, USA
| | - Janet L Abrahm
- Dana-Farber Cancer Institute, 450 Brookline Ave, LW-508, 02215, Boston, MA, USA
| | - Jennifer Ligibel
- Dana-Farber Cancer Institute, 450 Brookline Ave, LW-508, 02215, Boston, MA, USA
| | - Andrea Enzinger
- Dana-Farber Cancer Institute, 450 Brookline Ave, LW-508, 02215, Boston, MA, USA
| | - David F Lobach
- Elimu Informatics, 1709 Julian Court, 94530, El Cerrito, CA, USA
| | - Mary E Cooley
- Dana-Farber Cancer Institute, 450 Brookline Ave, LW-508, 02215, Boston, MA, USA.
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2
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Han CJ, Rosko AE, Spakowicz DJ, Hammer MJ, Von Ah D. Associations of frailty with symptoms, and HRQOL in older cancer survivors after cancer treatments: a systematic review and meta-analyses. Qual Life Res 2024; 33:583-598. [PMID: 37897643 DOI: 10.1007/s11136-023-03537-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/03/2023] [Indexed: 10/30/2023]
Abstract
PURPOSE Frailty in older adult cancer survivors after cancer treatments is associated with various health outcomes. However, there is less agreement on how frailty affects symptoms and health-related quality of life (HRQOL). This systematic review and meta-analysis aimed to evaluate the current literature on frailty, symptoms, and HRQOL, as well as the associations of frailty with these factors in older adult cancer survivors with chemotherapy. METHODS A review was conducted on peer-reviewed publications from 2008 to 2023, using seven electronic databases. Meta-analyses were performed using random effects models to determine pooled effect estimates for frailty prevalence, symptom severity, and HRQOL scores. RESULTS A total of 26 studies involving older cancer survivors were included in the analysis. Most of these studies were conducted in Western countries and focused on White survivors, particularly those with breast cancer. The mean pooled prevalence of frailty was 43.5%. Among frail survivors, the most common symptoms reported after cancer treatments were pain (36.4%), neuropathy (34.1%), and fatigue (21.3%). Frailty was associated with higher pooled mean symptom severity (B = 1.23, p = 0.046) and lower functional HRQOL (B = - 0.31, p = 0.051, with marginal significance) after cancer treatments. CONCLUSION Frail older cancer survivors are at high risk of adverse symptoms and poor HRQOL after cancer treatment. Further research on screening for frailty is needed to prevent older adults from developing worse symptoms burden and maintain HRQOL. It is also essential to understand the mechanisms of the associations between frailty, symptoms and HRQOL in this population.
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Affiliation(s)
- Claire J Han
- Center for Healthy Aging, Self-Management and Complex Care, College of Nursing Columbus, The Ohio State University, Office 377, Newton Hall, 1585 Neil Avenue, Columbus, OH, 43210, USA.
- Cancer Survivorship and Control Survivorship, Ohio State University-James: Cancer Treatment and Research Center, Columbus, OH, USA.
| | - Ashley E Rosko
- Division of Hematology, The Ohio State University-James: Cancer Treatment and Research Center, Columbus, OH, USA
| | - Daniel J Spakowicz
- Division of Medical Oncology, Pelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Marilyn J Hammer
- Dana-Farber Cancer Institute, and Member of the Faculty, Medical Oncology Harvard Medical School, Boston, MA, USA
| | - Diane Von Ah
- Center for Healthy Aging, Self-Management and Complex Care, College of Nursing Columbus, The Ohio State University, Office 377, Newton Hall, 1585 Neil Avenue, Columbus, OH, 43210, USA
- Cancer Survivorship and Control Survivorship, Ohio State University-James: Cancer Treatment and Research Center, Columbus, OH, USA
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Al Qadire M, Aljezawi M, Al Omari O, Alatoum AM, Khalaf A. Identifying Symptom Clusters in Cancer Patients Receiving Chemotherapy using Symptom Occurrence and Distress Dimensions. Clin Nurs Res 2023; 32:185-196. [PMID: 35658723 DOI: 10.1177/10547738221100349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The current study explored symptom clusters in a heterogenous sample that includes all age groups, and all types of cancer being treated with chemotherapy. A cross-sectional survey design was used. The sample comprise 393 cancer patients with a mean age of 52.1 years (SD 13.9). The most prevalent symptoms were tiredness (78.9%), lack of energy (71.8%), and irritability (66.9%) and the most distressing symptom was lack of appetite. Four clusters of the symptom experience: chemotherapy-related, psychological, fatigue and pain, and gastrointestinal symptoms, regardless of the dimension used, were identified. The content and number of symptoms within each cluster using the distress dimension were slightly different from the occurrence dimension. The findings call for an early comprehensive assessment and treatment of symptoms for patients undergoing chemotherapy. Also, healthcare providers especially nurses need to thoroughly assess and manage these symptoms to ease patients' experience, enhance their compliance and improve their quality of life.
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Affiliation(s)
- Mohammad Al Qadire
- Sultan Qaboos University, Muscat, Sultanate of Oman.,Al Al-Bayt University, Mafraq, Jordan
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4
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Oppegaard K, Shin J, Harris CS, Schimmel A, Paul SM, Cooper BA, Levine JD, Conley YP, Hammer M, Dunn L, Kober KM, Miaskowski C. Higher stress and symptom severity are associated with worse depressive symptom profiles in patients receiving chemotherapy. Eur J Oncol Nurs 2022; 58:102031. [PMID: 35397404 PMCID: PMC10788966 DOI: 10.1016/j.ejon.2021.102031] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 09/02/2021] [Indexed: 11/30/2022]
Abstract
PURPOSE In a sample of oncology patients, identify subgroups of patients with distinct depressive symptom profiles and evaluate for differences in demographic and clinical characteristics, levels of stress and resilience, and the severity of common co-occurring symptoms. METHODS Patients (n = 1327) had a diagnosis of breast, gastrointestinal, gynecological, or lung cancer; had received chemotherapy within the preceding four weeks; and were scheduled to receive at least two additional cycles of chemotherapy. Demographic and clinical characteristics, stress, resilience, and co-occurring symptoms were evaluated at enrollment. Depressive symptoms were evaluated using the Center for Epidemiological Studies-Depression (CES-D) scale a total of six times over two cycles of chemotherapy. Latent profile analysis (LPA) was used to identify subgroups of patients (i.e., latent classes) with distinct depressive symptom profiles using the six CES-D scores. RESULTS Based on the findings from the LPA, 47.3% of the patients were classified as "None"; 33.6% as "Subsyndromal"; 13.8% as "Moderate"; and 5.3% as "High". Compared to None class, patients in the Subsyndromal, Moderate, and High classes had a lower functional status, a higher comorbidity burden, and a self-reported diagnosis of depression or back pain. Those patients with higher levels of depressive symptoms reported higher levels of stress, lower levels of resilience, and increased severity of co-occurring symptoms. CONCLUSIONS Inter-individual variability in depressive symptoms was associated with demographic and clinical characteristics, multiple types of stress and levels of resilience, as well as with the increased severity of multiple co-occurring symptoms. The risk factors associated with worse depressive symptom profiles can assist clinicians to identify high risk patients and initiate more timely supportive care interventions.
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Affiliation(s)
- Kate Oppegaard
- School of Nursing, University of California, San Francisco, CA, USA
| | - Joosun Shin
- School of Nursing, University of California, San Francisco, CA, USA
| | - Carolyn S Harris
- School of Nursing, University of California, San Francisco, CA, USA
| | | | - Steven M Paul
- School of Nursing, University of California, San Francisco, CA, USA
| | - Bruce A Cooper
- School of Nursing, University of California, San Francisco, CA, USA
| | - Jon D Levine
- School of Medicine, University of California, San Francisco, CA, USA
| | - Yvette P Conley
- School of Nursing, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Laura Dunn
- School of Medicine, Stanford University, Stanford, CA, USA
| | - Kord M Kober
- School of Nursing, University of California, San Francisco, CA, USA
| | - Christine Miaskowski
- School of Nursing, University of California, San Francisco, CA, USA; School of Medicine, University of California, San Francisco, CA, USA.
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Galunas L. The Impact of a Nurse-Led Exercise Activity for Cancer-Related Fatigue in Patients With Leukemia. Clin J Oncol Nurs 2022; 26:257-260. [PMID: 35604732 DOI: 10.1188/22.cjon.257-260] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Many patients with leukemia experience cancer-related fatigue (CRF). However, when patients are admitted for treatment with chemotherapy, clinicians often overlook CRF and interventions that can help to manage it. The purpose of this four-week intervention was to determine whether a nurse-led exercise activity would reduce CRF and increase physical activity compared to current practice. The results suggest that nurse-led exercise programs can immediately decrease CRF and increase activity in admitted patients with leukemia receiving chemotherapy. Including patients in nurse-led exercise activities can support active participation in their own care during and after hospitalization.
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6
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Cooley ME, Mazzola E, Xiong N, Hong F, Lobach DF, Braun IM, Halpenny B, Rabin MS, Johns E, Finn K, Berry D, McCorkle R, Abrahm JL. Clinical Decision Support for Symptom Management in Lung Cancer Patients: A Group RCT. J Pain Symptom Manage 2022; 63:572-580. [PMID: 34921934 PMCID: PMC9194912 DOI: 10.1016/j.jpainsymman.2021.12.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 11/19/2021] [Accepted: 12/07/2021] [Indexed: 12/21/2022]
Abstract
CONTEXT Clinical guidelines are available to enhance symptom management during cancer treatment but often are not used in the practice setting. Clinical decision support can facilitate the implementation and adherence to clinical guidelines. and improve the quality of cancer care. OBJECTIVES Clinical decision support offers an innovative approach to integrate guideline-based symptom management into oncology care. This study evaluated the effect of clinical decision support-based recommendations on clinical management of symptoms and health-related quality of life (HR-QOL) among outpatients with lung cancer. METHODS Twenty providers and 179 patients were allotted in group randomization to attention control (AC) or Symptom Assessment and Management Intervention (SAMI) arms. SAMI entailed patient-report of symptoms and delivery of recommendations to manage pain, fatigue, dyspnea, depression, and anxiety; AC entailed symptom reporting prior to the visit. Outcomes were collected at baseline, two, four and six-months. Adherence to recommendations was assessed through masked chart review. HR-QOL was measured by the Functional Assessment of Cancer Therapy-Lung questionnaire. Descriptive statistics with linear and logistic regression accounting for the clustering structure of the design and a modified chi-square test were used for analyses. RESULTS Median age of patients was 63 years, 58% female, 88% white, and 32% ≤high school education. Significant differences in clinical management were evident in SAMI vs. AC for all target symptoms that passed threshold. Patients in SAMI were more likely to receive sustained-release opioids for constant pain, adjuvant medications for neuropathic pain, opioids for dyspnea, stimulants for fatigue and mental health referrals for anxiety. However, there were no statistically significant differences in HR-QOL at any time point. CONCLUSION SAMI improved clinical management for all target symptoms but did not improve patient outcomes. A larger study is warranted to evaluate effectiveness.
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Affiliation(s)
- Mary E Cooley
- Research in Nursing and Patient Care (M.E.C, B.H.), Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
| | - Emanuele Mazzola
- Data Sciences (E.M., N.X., F.H.), Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Niya Xiong
- Data Sciences (E.M., N.X., F.H.), Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Fangxin Hong
- Data Sciences (E.M., N.X., F.H.), Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | | | - Ilana M Braun
- Psychosocial Oncology and Palliative Care (I.M.B., J.L.A.), Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Barbara Halpenny
- Research in Nursing and Patient Care (M.E.C, B.H.), Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Michael S Rabin
- Lowe Center for Thoracic Oncology (M.S.R.), Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Ellis Johns
- Family Medicine (E.J.), Virginia Commonwealth University, Richmond, Virginia, USA
| | - Kathleen Finn
- Clinical Research (K.F.), City of Hope, Duarte, California, USA
| | - Donna Berry
- Biobehavioral Nursing and Health Informatics (D.B.), University of Washington, Seattle, Washington, USA
| | - Ruth McCorkle
- School of Nursing (R.M.), Yale University, New Haven, Connecticut, USA
| | - Janet L Abrahm
- Psychosocial Oncology and Palliative Care (I.M.B., J.L.A.), Dana-Farber Cancer Institute, Boston, Massachusetts, USA
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Koleck TA, Topaz M, Tatonetti NP, George M, Miaskowski C, Smaldone A, Bakken S. Characterizing shared and distinct symptom clusters in common chronic conditions through natural language processing of nursing notes. Res Nurs Health 2021; 44:906-919. [PMID: 34637147 PMCID: PMC8641786 DOI: 10.1002/nur.22190] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 09/14/2021] [Accepted: 09/21/2021] [Indexed: 01/08/2023]
Abstract
Data-driven characterization of symptom clusters in chronic conditions is essential for shared cluster detection and physiological mechanism discovery. This study aims to computationally describe symptom documentation from electronic nursing notes and compare symptom clusters among patients diagnosed with four chronic conditions-chronic obstructive pulmonary disease (COPD), heart failure, type 2 diabetes mellitus, and cancer. Nursing notes (N = 504,395; 133,977 patients) were obtained for the 2016 calendar year from a single medical center. We used NimbleMiner, a natural language processing application, to identify the presence of 56 symptoms. We calculated symptom documentation prevalence by note and patient for the corpus. Then, we visually compared documentation for a subset of patients (N = 22,657) diagnosed with COPD (n = 3339), heart failure (n = 6587), diabetes (n = 12,139), and cancer (n = 7269) and conducted multiple correspondence analysis and hierarchical clustering to discover underlying groups of patients who have similar symptom profiles (i.e., symptom clusters) for each condition. As expected, pain was the most frequently documented symptom. All conditions had a group of patients characterized by no symptoms. Shared clusters included cardiovascular symptoms for heart failure and diabetes; pain and other symptoms for COPD, diabetes, and cancer; and a newly-identified cognitive and neurological symptom cluster for heart failure, diabetes, and cancer. Cancer (gastrointestinal symptoms and fatigue) and COPD (mental health symptoms) each contained a unique cluster. In summary, we report both shared and distinct, as well as established and novel, symptom clusters across chronic conditions. Findings support the use of electronic health record-derived notes and NLP methods to study symptoms and symptom clusters to advance symptom science.
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Affiliation(s)
- Theresa A. Koleck
- School of Nursing, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Maxim Topaz
- School of Nursing, Columbia University, New York, New York
- Data Science Institute, Columbia University, New York, New York
| | - Nicholas P. Tatonetti
- Data Science Institute, Columbia University, New York, New York
- Department of Biomedical Informatics, Columbia University, New York, New York
- Department of Systems Biology, Columbia University, New York, New York
- Department of Medicine, Columbia University, New York, New York
- Institute for Genomic Medicine, Columbia University, New York, New York
| | - Maureen George
- School of Nursing, Columbia University, New York, New York
| | - Christine Miaskowski
- School of Nursing, University of California San Francisco, San Francisco, California
| | - Arlene Smaldone
- School of Nursing, Columbia University, New York, New York
- College of Dental Medicine, Columbia University, New York, New York
| | - Suzanne Bakken
- School of Nursing, Columbia University, New York, New York
- Data Science Institute, Columbia University, New York, New York
- Department of Biomedical Informatics, Columbia University, New York, New York
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Kwekkeboom KL, Wieben A, Stevens J, Tostrud L, Montgomery K. Guideline-Recommended Symptom Management Strategies That Cross Over Two or More Cancer Symptoms. Oncol Nurs Forum 2021; 47:498-511. [PMID: 32830800 DOI: 10.1188/20.onf.498-511] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PROBLEM IDENTIFICATION Patients with cancer experience multiple symptoms, but current practice is driven by guidelines that address single symptoms. Identifying symptom management strategies recommended across two or more symptoms could relieve multiple symptoms and reduce patient burden. LITERATURE SEARCH The Oncology Nursing Society, National Comprehensive Cancer Network, and American Society of Clinical Oncology websites were searched to identify management guidelines for 15 symptoms. DATA EVALUATION The authors extracted symptom management strategies and recommendations. Recommendations were synthesized by symptom across the guidelines, and recommended strategies were compared across symptoms. SYNTHESIS Among 32 guidelines reviewed, a total of 88 symptom management strategies (41 pharmacologic, 47 nonpharmacologic) were recommended across two or more symptoms. IMPLICATIONS FOR PRACTICE Findings support the potential for coordinated selection of symptom management strategies that cross over multiple symptoms in a patient. Investigators should test these symptom management strategies in the context of co-occurring symptoms and develop guidelines that address multiple symptoms.
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Zanville N, Cohen B, Gray TF, Phillips J, Linder L, Starkweather A, Yeager KA, Cooley ME. The Oncology Nursing Society Rapid Review and Research Priorities for Cancer Care in the Context of COVID-19. Oncol Nurs Forum 2021; 48:131-145. [PMID: 33600397 DOI: 10.1188/21.onf.131-145] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVES To identify research priorities addressing COVID-19 that build on the 2019-2022 Oncology Nursing Society (ONS) Research Agenda, in alignment with ONS's mission to promote excellence in oncology nursing and quality cancer care. METHODS & VARIABLES Priority areas were identified using a multistep approach combining rapid review of the literature; consultation with experts/stakeholders; and review of priorities from other funding agencies, public health, and cancer-focused organizations. RESULTS The rapid research response team identified five priority areas for research related to COVID-19. IMPLICATIONS FOR NURSING Oncology nurses are well positioned to address the research priorities and cross-cutting themes identified through this review. The use of innovative methodologic approaches and attention to disparities are necessary to advance cancer care related to COVID-19.
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Lira AL, de Freitas TC, Martins T, Guimarães D, Silva MR, Drumond C, Guimarães RM. Global and Multidimensional Symptom Assessments in Patients Presenting Abdominal Neoplasms. AQUICHAN 2019. [DOI: 10.5294/aqui.2019.19.1.4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Objective: To evaluate symptoms among patients with abdominal cancer and associated factors. Materials and methods: A cross-sectional study with 100 patients. The prevalence of symptoms was evaluated through the Memorial Symptom Assessment Scale (MSAS) and its association with demographic and clinical variables using chi-square and ANOVA tests. Results: The most prevalent symptoms were weight loss (64.0 %), pain (56.0 %), dry mouth (50.0 %), “I do not look more myself” (48.0 %) and lack of energy (45.0 %). There was a significant difference between sex and high-frequency (PHYS-H) (p = 0.001) and low-frequency (PHYS-L) physical symptoms (p = 0.004), and for general scale (TMSAS) (p = 0.002); (p = 0.001), general range (p = 0.027) and borderline significance for the global scale (GDI) (p = 0.051); high-frequency physical symptoms (p = 0.022), low-frequency physical symptoms (p = 0.034) and the overall scale (p = 0.034). There was one major complaint regarding the severity of high-frequency physical symptoms in patients with liver cancer (p = 0.018). Conclusion: Symptoms of physical and psychological aspects in cancer patients were associated with gender, race, marital status and tumor location. There is a need for tools to assess symptoms and enable health professionals to intervene more effectively.
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Affiliation(s)
- Ana Lucia Lira
- Instituto Nacional de Câncer José Alencar Gomes da Silva
| | | | - Thais Martins
- Instituto Nacional de Câncer José Alencar Gomes da Silva
| | | | | | - Camila Drumond
- Instituto Nacional de Câncer José Alencar Gomes da Silva
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Flannery M, Stein KF, Dougherty DW, Mohile S, Guido J, Wells N. Nurse-Delivered Symptom Assessment for Individuals With Advanced Lung Cancer. Oncol Nurs Forum 2018; 45:619-630. [PMID: 30118448 PMCID: PMC6379074 DOI: 10.1188/18.onf.619-630] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVES To assess an intervention derived from self-regulation theory (SRT) to promote well-being for individuals with advanced lung cancer. SAMPLE & SETTING 45 adults with advanced lung cancer who were receiving chemotherapy at an ambulatory cancer center. METHODS & VARIABLES Participants were randomized to the intervention group or usual care control group. Feasibility assessment focused on recruitment, retention, design, methods, and fidelity. Outcome measures of quality of life, symptoms, and distress were collected at four time points. The main research variables were symptoms, quality of life, and distress. RESULTS The participation rate was 79%, and the retention rate was 62%. Participant loss was most often because of progressive disease and occurred early in the study. High fidelity was noted for delivery of the intervention as planned and outcome data collection by telephone. The mean number of interventions delivered was 5.5 of a planned 8. A high level of acceptability was reported for participants completing the intervention. IMPLICATIONS FOR NURSING Although delivering the SRT-derived intervention with fidelity was possible, feasibility findings do not warrant intervention replication in this population.
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12
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Midgley AW, Lowe D, Levy AR, Mepani V, Rogers SN. Exercise program design considerations for head and neck cancer survivors. Eur Arch Otorhinolaryngol 2017; 275:169-179. [PMID: 29058083 PMCID: PMC5754417 DOI: 10.1007/s00405-017-4760-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Accepted: 09/26/2017] [Indexed: 01/20/2023]
Abstract
The present study aimed to establish exercise preferences, barriers, and perceived benefits among head and neck cancer survivors, as well as their level of interest in participating in an exercise program. Patients treated for primary squamous cell carcinoma of the head and neck between 2010 and 2014 were identified from the hospital database and sent a postal questionnaire pack to establish exercise preferences, barriers, perceived benefits, current physical activity levels, and quality of life. A postal reminder was sent to non-responders 4 weeks later. The survey comprised 1021 eligible patients of which 437 (43%) responded [74% male, median (interquartile range) age, 66 (60-73) years]. Of the respondents, 30% said 'Yes' they would be interested in participating in an exercise program and 34% said 'Maybe'. The most common exercise preferences were a frequency of three times per week, moderate-intensity, and 15-29 min per bout. The most popular exercise types were walking (68%), flexibility exercises (35%), water activites/swimming (33%), cycling (31%), and weight machines (19%). Home (55%), outdoors (46%) and health club/gym (33%) were the most common preferred choices for where to regularly exercise. Percieved exercise benefits relating to improved physical attributes were commonly cited, whereas potential social and work-related benefits were less well-acknowledged. The most commonly cited exercise barriers were dry mouth or throat (40%), fatigue (37%), shortness of breath (30%), muscle weakness (28%) difficulty swallowing (25%), and shoulder weakness and pain (24%). The present findings inform the design of exercise programs for head and neck cancer survivors.
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Affiliation(s)
- Adrian W Midgley
- Department of Sport & Physical Activity, Edge Hill University, Ormskirk, L39 4QP, UK.
| | - Derek Lowe
- Evidence-Based Practice Research Centre (EPRC), Edge Hill University, Ormskirk, L39 4QP, UK
| | - Andrew R Levy
- Department of Psychology, Edge Hill University, Ormskirk, L39 4QP, UK
| | - Vishal Mepani
- School of Medicine, University of Liverpool, Liverpool, L69 3GE, UK
| | - Simon N Rogers
- Evidence-Based Practice Research Centre (EPRC), Edge Hill University, Ormskirk, L39 4QP, UK.,Consultant Regional Maxillofacial Unit, University Hospital Aintree, Liverpool, L9 1AE, UK
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Carrillo-González GM. Los grupos de síntomas en personas con cáncer: una revisión integrativa. AQUICHAN 2017. [DOI: 10.5294/aqui.2017.17.3.3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Objetivo: explorar el estado actual de desarrollo investigativo del área temática de grupos de síntomas en adultos con cáncer. Método: revisión integrativa de producción científica generada entre 2001 y 2016. Se incluyeron 61 artículos por su aporte en la comprensión del área temática. Resultados: el estudio de los grupos de síntomas en personas con cáncer se consolida como un área temática novedosa, pertinente y necesaria para la investigación y práctica de enfermería en oncología, con tendencias y retos que incluyen: (1) El desarrollo de marcos conceptuales que aporten a la fundamentación, atributos y efectos (2) La determinación de métodos y formas de crearlos y clasificarlos (3) La generación de estudios con poblaciones específicas por tipos de cáncer y tratamiento y la consolidación de intervenciones de enfermería. Conclusiones: los pacientes con cáncer experimentan múltiples síntomas de forma simultánea durante las distintas fases de la enfermedad. Es incipiente el estudio de este fenómeno, los retos para la enfermería se centran en la generación de respuestas que alivien la carga de los grupos de síntomas y mejoren la calidad de vida de estos pacientes. Es necesario validar escalas de carga del síntoma y explorar los grupos de síntomas incluyendo variables clínicas ligadas a los tratamientos oncológicos.
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