NCT06582498

Brief Summary

The rate of cancer survivorship is increasing, posing the need to create high quality survivorship care plans. Traditionally, follow-up of cancer survivors has focused on detection of cancer recurrence or new cancers, but often it does not fully address behavioural and psychosocial elements which could improve quality of life (QoL) and potentially decrease recurrence risk. There is a current lack of short, validated screeners to assess diet, lifestyle and other behaviours that might influence QoL and prognosis in cancer survivors. The hypothesis of this project is that the creation of a screener with the capacity to rapidly, validly and effectively assess nutritional factors, lifestyle, sleep quality and psychosocial distress in cancer survivors could be useful to identify individuals who may need further care and support. The aim is to create a valid and rapid tool (Life S-Can) to evaluate a total of seven domains (body composition, physical activity, diet, alcohol intake, smoking, sleeping behaviour and psychosocial distress) in cancer survivors for its use in a clinical setting to improve survivorship care and QoL. The project is divided into three phases and will be carried out in one year at the University Hospital Son Espases (HUSE) (Palma, Spain). The objective of Phase I is to design the screener, which will be administered to a small convenience sample to determine comprehension, clarity and usefulness. In Phase II, Life S-Can will be validated in cancer survivors (n=100) at HUSE and a pilot intervention will be carried out with the objective to test the feasibility of a larger intervention to effectively implement Life S-Can in clinical settings to improve QoL in cancer survivors. For this, patients will be recruited by the Oncology Department and will be invited to attend the Clinical Trials Unit for an exhaustive assessment. A research dietitian will administer Life S-Can and will then collect data using validated questionnaires and objective measurements to compare to the data obtained with the Life S-Can screener. Participants will then be randomly allocated to either the Low Intensity Intervention Group (LIIG) or Active Intervention Group (AIG). LIIG patients will receive standard care and advice given to cancer survivors, and AIG patients will receive personalised feedback (by means of individual and group sessions) in order to improve their body composition, physical activity, diet, alcohol intake, and psychosocial elements based on their answers, by trained professionals. Patients of both groups will also answer both Life S-Can and validated questionnaires at baseline and after three months. Outcome measurements will be indicators of feasibility (completion of questionnaires), acceptability (by patients, health professionals), behavioural changes (diet, physical activity, psychosocial distress) and QoL. Finally, Phase III consists of a qualitative study conducted in cancer patients and health professionals to obtain data to design an implementation study. Cancer survivors care should be multifactorial; however, often, due to time constraints and clinical burden, health professionals might not assess certain aspects relevant for cancer survivors' QoL, such as nutritional status, diet, physical and mental health adequately. Life S-Can will enable clinicians, health practitioners, charities and other stakeholders work with cancer survivors early-on and refer them to adequate health and mental care teams and resources.

Trial Health

55
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
120

participants targeted

Target at P50-P75 for not_applicable

Timeline
Completed

Started Sep 2024

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
enrolling by invitation

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

August 29, 2024

Completed
3 days until next milestone

Study Start

First participant enrolled

September 1, 2024

Completed
2 days until next milestone

First Posted

Study publicly available on registry

September 3, 2024

Completed
7 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 1, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

April 1, 2025

Completed
Last Updated

September 3, 2024

Status Verified

August 1, 2024

Enrollment Period

7 months

First QC Date

August 29, 2024

Last Update Submit

August 30, 2024

Conditions

Keywords

Cancer survivorshipScreenerDietPhysical activityPsychosocial distress

Outcome Measures

Primary Outcomes (2)

  • Feasibility in modifying Life S-Can score

    The outcome will be measured through the administration of Life S-Can and a quality of life questionnaire

    3 months

  • Efficacy in improving overall quality of life

    The outcome will be measured through the administration of Life S-Can and a quality of life questionnaire

    3 months

Secondary Outcomes (3)

  • Changes in body composition

    3 months

  • Changes in physical activity levels

    3 months

  • Change in diet

    3 months

Other Outcomes (3)

  • Screener validation

    3 months

  • Reproducibility of the Life S-can screener

    10 days

  • Qualitative study

    The qualitative study will be carried out after the pilot intervention study and the validation of the screener have concluded. It is expected to take approximately 2 months to carry out.

Study Arms (2)

Active intervention

EXPERIMENTAL

Consists of participants (50% of the total recruited) which will receive the Active Intervention.

Behavioral: Active intervention

Low-intensity intervention

ACTIVE COMPARATOR

Consists of participants (50% of the total recruited) which will receive the Low Intensity Intervention.

Behavioral: Low-intensity intervention

Interventions

This group will receive a pamphlet with diet and lifestyle recommendations for cancer survivors at randomization (2nd visit). Furthermore, they will be offered 3 individual sessions with health professionals (oncological dietitian, sports therapist, and oncological psychologist) and 3 group sessions with the same professionals. The duration of the individual visits is expected to be 45-60 minutes approximately, and group sessions will be planned for 1.5h duration approximately.

Active intervention

This group will receive a pamphlet with diet and lifestyle recommendations for cancer survivor at randomization (2nd visit). These recommendations are all based on information from the World Cancer Research Fund, the American Institute for Cancer Research, and the American Cancer Society.

Low-intensity intervention

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Adults ≥ 18 years old; men \& women; able to read and understand Spanish; prior diagnosis of cancer (stages I to III); have completed all systemic treatment (surgery, chemotherapy, radiation therapy) at least ≥3 months prior to the study start date; be currently considered cancer free; able to attend visits at HUSE.

You may not qualify if:

  • Ongoing cancer or cancer treatment; have a debilitating medical or psychiatric illness; presenting a disorder that compromises comprehension (e.g., dementia); pregnancy/breastfeeding.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Fundació Instituto de Investigación Sanitaria de las Islas Baleares (IDISBA)

Palma de Mallorca, Balearic Islands, 07120, Spain

Location

Related Publications (15)

  • Miller KD, Nogueira L, Devasia T, Mariotto AB, Yabroff KR, Jemal A, Kramer J, Siegel RL. Cancer treatment and survivorship statistics, 2022. CA Cancer J Clin. 2022 Sep;72(5):409-436. doi: 10.3322/caac.21731. Epub 2022 Jun 23.

    PMID: 35736631BACKGROUND
  • Parry C, Kent EE, Mariotto AB, Alfano CM, Rowland JH. Cancer survivors: a booming population. Cancer Epidemiol Biomarkers Prev. 2011 Oct;20(10):1996-2005. doi: 10.1158/1055-9965.EPI-11-0729.

    PMID: 21980007BACKGROUND
  • Jefford M, Howell D, Li Q, Lisy K, Maher J, Alfano CM, Rynderman M, Emery J. Improved models of care for cancer survivors. Lancet. 2022 Apr 16;399(10334):1551-1560. doi: 10.1016/S0140-6736(22)00306-3.

    PMID: 35430022BACKGROUND
  • de Rooij BH, Park ER, Perez GK, Rabin J, Quain KM, Dizon DS, Post KE, Chinn GM, McDonough AL, Jimenez RB, van de Poll-Franse LV, Peppercorn J. Cluster Analysis Demonstrates the Need to Individualize Care for Cancer Survivors. Oncologist. 2018 Dec;23(12):1474-1481. doi: 10.1634/theoncologist.2017-0558. Epub 2018 May 8.

    PMID: 29739897BACKGROUND
  • Dai S, Mo Y, Wang Y, Xiang B, Liao Q, Zhou M, Li X, Li Y, Xiong W, Li G, Guo C, Zeng Z. Chronic Stress Promotes Cancer Development. Front Oncol. 2020 Aug 19;10:1492. doi: 10.3389/fonc.2020.01492. eCollection 2020.

    PMID: 32974180BACKGROUND
  • Divani A, Heidari ME, Ghavampour N, Parouhan A, Ahmadi S, Narimani Charan O, Shahsavari H. Effect of cancer treatment on sleep quality in cancer patients: A systematic review and meta-analysis of Pittsburgh Sleep Quality Index. Support Care Cancer. 2022 Jun;30(6):4687-4697. doi: 10.1007/s00520-021-06767-9. Epub 2022 Jan 26.

    PMID: 35079904BACKGROUND
  • Alanazi MT, Alanazi NT, Alfadeel MA, Bugis BA. Sleep deprivation and quality of life among uterine cancer survivors: systematic review. Support Care Cancer. 2022 Mar;30(3):2891-2900. doi: 10.1007/s00520-021-06589-9. Epub 2021 Sep 30.

    PMID: 34595604BACKGROUND
  • Mitchell AJ, Ferguson DW, Gill J, Paul J, Symonds P. Depression and anxiety in long-term cancer survivors compared with spouses and healthy controls: a systematic review and meta-analysis. Lancet Oncol. 2013 Jul;14(8):721-32. doi: 10.1016/S1470-2045(13)70244-4. Epub 2013 Jun 5.

    PMID: 23759376BACKGROUND
  • Mehnert-Theuerkauf A, Hufeld JM, Esser P, Goerling U, Hermann M, Zimmermann T, Reuter H, Ernst J. Prevalence of mental disorders, psychosocial distress, and perceived need for psychosocial support in cancer patients and their relatives stratified by biopsychosocial factors: rationale, study design, and methods of a prospective multi-center observational cohort study (LUPE study). Front Psychol. 2023 Apr 20;14:1125545. doi: 10.3389/fpsyg.2023.1125545. eCollection 2023.

    PMID: 37151329BACKGROUND
  • McDonough AL, Lei Y, Kwak AH, Haggett DE, Jimenez RB, Johnston KT, Moy B, Spring LM, Peppercorn J. Implementation of a Brief Screening Tool to Identify Needs of Breast Cancer Survivors. Clin Breast Cancer. 2021 Feb;21(1):e88-e95. doi: 10.1016/j.clbc.2020.07.006. Epub 2020 Jul 15.

    PMID: 32807644BACKGROUND
  • Lu SC, Porter I, Valderas JM, Harrison CJ, Sidey-Gibbons C. Effectiveness of routine provision of feedback from patient-reported outcome measurements for cancer care improvement: a systematic review and meta-analysis. J Patient Rep Outcomes. 2023 Jun 5;7(1):54. doi: 10.1186/s41687-023-00578-8.

    PMID: 37277575BACKGROUND
  • Basu A, Bhattacharya S, Miller K. A pilot study of a low-intensity health education intervention on activity and quality-of-life measures for cancer survivors. Journal of Clinical Oncology 34, no. 3_suppl (2016) 221-221.

    BACKGROUND
  • Cruz Bermudez, HF; Moreno Collazos, JE; Angarita Fonseca, A. Medición de la calidad de vida por el cuestionario QLQ-C30 en sujetos con diversos tipos de cáncer de la ciudad de Bucaramanga-Colombia. Enferm glob 2013 vol.12 nº30.

    BACKGROUND
  • Anthoine E, Moret L, Regnault A, Sebille V, Hardouin JB. Sample size used to validate a scale: a review of publications on newly-developed patient reported outcomes measures. Health Qual Life Outcomes. 2014 Dec 9;12:176. doi: 10.1186/s12955-014-0176-2.

    PMID: 25492701BACKGROUND
  • Chaplin A, Wordsworth J, Prohens L, Obrador-Hevia A, Guillot M, Ricci-Cabello I, Sese A, Romaguera D. Validation and pilot feasibility study of a novel screener to assess diet, lifestyle and mental health in people living with and beyond cancer: Study protocols. PLoS One. 2025 Jun 5;20(6):e0323671. doi: 10.1371/journal.pone.0323671. eCollection 2025.

Related Links

MeSH Terms

Conditions

Motor Activity

Condition Hierarchy (Ancestors)

Behavior

Study Officials

  • Alice Chaplin, PhD

    CIBER (Consorcio Investigación Biomédica en Red); IdISBa (Fundació Instituto de Investigación Sanitaria de las Islas Baleares)

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Purpose
SUPPORTIVE CARE
Intervention Model
PARALLEL
Model Details: A random allocation system will be applied to participants, which will be allocated to the Low Intensity Intervention Group (LIIG) or the Active Intervention Group (AIG). Both groups will attend a first, baseline visit offered to all participants with a trained dietitian, who will administer the Life S-Can questionnaire and a series of validated questionnaires. The LIIG will receive the standard care and recommendations already provided by the Oncology Department of the hospital and a set of recommendations for cancer prevention offered by the WCRF, the AICR and the ACS. The AIG will receive the same recommendations as the LIIG and will be offered to see an oncological dietitian (diet domain), a physical activity health professional (physical activity) and/or a psychologist (psychosocial distress) for two visits (one individual, one group session). All participants will attend a final visit after 3 months to collect data on feasibility, acceptability and efficacy of the intervention.
Sponsor Type
OTHER GOV
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

August 29, 2024

First Posted

September 3, 2024

Study Start

September 1, 2024

Primary Completion

April 1, 2025

Study Completion

April 1, 2025

Last Updated

September 3, 2024

Record last verified: 2024-08

Data Sharing

IPD Sharing
Will not share

Locations