Skip to main content
Top
Published in: BMC Medical Research Methodology 1/2022

Open Access 01-12-2022 | Research

Study retention and attrition in a longitudinal cohort study including patient-reported outcomes, fieldwork and biobank samples: results of the Netherlands quality of life and Biomedical cohort study (NET-QUBIC) among 739 head and neck cancer patients and 262 informal caregivers

Authors: Femke Jansen, Ruud H. Brakenhoff, Rob J. Baatenburg de Jong, Johannes A. Langendijk, C. René Leemans, Robert P. Takes, Chris H. J. Terhaard, Jan H. Smit, Irma M. Verdonck-de Leeuw

Published in: BMC Medical Research Methodology | Issue 1/2022

Login to get access

Abstract

Background

Longitudinal observational cohort studies in cancer patients are important to move research and clinical practice forward. Continued study participation (study retention) is of importance to maintain the statistical power of research and facilitate representativeness of study findings. This study aimed to investigate study retention and attrition (drop-out) and its associated sociodemographic and clinical factors among head and neck cancer (HNC) patients and informal caregivers included in the Netherlands Quality of Life and Biomedical Cohort Study (NET-QUBIC).

Methods

NET-QUBIC is a longitudinal cohort study among 739 HNC patients and 262 informal caregivers with collection of patient-reported outcome measures (PROMs), fieldwork data (interview, objective tests and medical examination) and biobank materials. Study retention and attrition was described from baseline (before treatment) up to 2-years follow-up (after treatment). Sociodemographic and clinical characteristics associated with retention in NET-QUBIC components at baseline (PROMs, fieldwork and biobank samples) and retention in general (participation in at least one component) were investigated using Chi-square, Fisher exact or independent t-tests (p< 0.05).

Results

Study retention at 2-years follow-up was 80% among patients alive (66% among all patients) and 70% among caregivers of patients who were alive and participating (52% among all caregivers). Attrition was most often caused by mortality, and logistic, physical, or psychological-related reasons. Tumor stage I/II, better physical performance and better (lower) comorbidity score were associated with participation in the PROMs component among patients. No factors associated with participation in the fieldwork component (patients), overall sample collection (patients and caregivers) or PROMs component (caregivers) were identified. A better performance and comorbidity score (among patients) and higher age (among caregivers) were associated with study retention at 2-years follow-up.

Conclusions

Retention rates were high at two years follow-up (i.e. 80% among HNC patients alive and 70% among informal caregivers with an active patient). Nevertheless, some selection was shown in terms of tumor stage, physical performance, comorbidity and age, which might limit representativeness of NET-QUBIC data and samples. To facilitate representativeness of study findings future cohort studies might benefit from oversampling specific subgroups, such as patients with poor clinical outcomes or higher comorbidity and younger caregivers.
Literature
1.
go back to reference Teague S, Youssef GJ, Macdonald JA, Sciberras E, Shatte A, Fuller-Tyszkiewicz M, et al. Retention strategies in longitudinal cohort studies: a systematic review and meta-analysis. BMC Med Res Methodol. 2018;18(1):151.CrossRef Teague S, Youssef GJ, Macdonald JA, Sciberras E, Shatte A, Fuller-Tyszkiewicz M, et al. Retention strategies in longitudinal cohort studies: a systematic review and meta-analysis. BMC Med Res Methodol. 2018;18(1):151.CrossRef
2.
go back to reference Rosenberg AR, Bona K, Wharton CM, Bradford M, Shaffer ML, Wolfe J, et al. Adolescent and young adult patient engagement and participation in survey-based research: a report from the "resilience in adolescents and young adults with Cancer" study. Pediatr Blood Cancer. 2016;63(4):734–6.CrossRef Rosenberg AR, Bona K, Wharton CM, Bradford M, Shaffer ML, Wolfe J, et al. Adolescent and young adult patient engagement and participation in survey-based research: a report from the "resilience in adolescents and young adults with Cancer" study. Pediatr Blood Cancer. 2016;63(4):734–6.CrossRef
3.
go back to reference Heppner PP, Armer JM, Mallinckrodt B. Problem-solving style and adaptation in breast cancer survivors: a prospective analysis. J Cancer Surviv. 2009;3(2):128–36.CrossRef Heppner PP, Armer JM, Mallinckrodt B. Problem-solving style and adaptation in breast cancer survivors: a prospective analysis. J Cancer Surviv. 2009;3(2):128–36.CrossRef
4.
go back to reference Fosså SD, Dahl AA, Myklebust T, Kiserud CE, Nome R, Klepp OH, et al. Risk of positive selection bias in longitudinal surveys among cancer survivors: lessons learnt from the national Norwegian testicular Cancer survivor study. Cancer Epidemiol. 2020;67:101744.CrossRef Fosså SD, Dahl AA, Myklebust T, Kiserud CE, Nome R, Klepp OH, et al. Risk of positive selection bias in longitudinal surveys among cancer survivors: lessons learnt from the national Norwegian testicular Cancer survivor study. Cancer Epidemiol. 2020;67:101744.CrossRef
5.
go back to reference Leuteritz K, Friedrich M, Nowe E, Sender A, Taubenheim S, Stoebel-Richter Y, et al. Recruiting young adult cancer patients: experiences and sample characteristics from a 12-month longitudinal study. Eur J Oncol Nurs. 2018;36:26–31.CrossRef Leuteritz K, Friedrich M, Nowe E, Sender A, Taubenheim S, Stoebel-Richter Y, et al. Recruiting young adult cancer patients: experiences and sample characteristics from a 12-month longitudinal study. Eur J Oncol Nurs. 2018;36:26–31.CrossRef
6.
go back to reference Perez-Cruz PE, Shamieh O, Paiva CE, Kwon JH, Muckaden MA, Bruera E, et al. Factors associated with attrition in a multicenter longitudinal observational study of patients with advanced Cancer. J Pain Symptom Manag. 2018;55(3):938–45.CrossRef Perez-Cruz PE, Shamieh O, Paiva CE, Kwon JH, Muckaden MA, Bruera E, et al. Factors associated with attrition in a multicenter longitudinal observational study of patients with advanced Cancer. J Pain Symptom Manag. 2018;55(3):938–45.CrossRef
7.
go back to reference Ramsey I, de Rooij BH, Mols F, Corsini N, Horevoorts NJE, Eckert M, et al. Cancer survivors who fully participate in the PROFILES registry have better health-related quality of life than those who drop out. J Cancer Surviv. 2019;13(6):829–39.CrossRef Ramsey I, de Rooij BH, Mols F, Corsini N, Horevoorts NJE, Eckert M, et al. Cancer survivors who fully participate in the PROFILES registry have better health-related quality of life than those who drop out. J Cancer Surviv. 2019;13(6):829–39.CrossRef
8.
go back to reference Spiers S, Oral E, Fontham ETH, Peters ES, Mohler JL, Bensen JT, et al. Modelling attrition and nonparticipation in a longitudinal study of prostate cancer. BMC Med Res Methodol. 2018;18(1):60.CrossRef Spiers S, Oral E, Fontham ETH, Peters ES, Mohler JL, Bensen JT, et al. Modelling attrition and nonparticipation in a longitudinal study of prostate cancer. BMC Med Res Methodol. 2018;18(1):60.CrossRef
9.
go back to reference Ness AR, Waylen A, Hurley K, Jeffreys M, Penfold C, Pring M, et al. Recruitment, response rates and characteristics of 5511 people enrolled in a prospective clinical cohort study: head and neck 5000. Clin Otolaryngol. 2016;41(6):804–9.CrossRef Ness AR, Waylen A, Hurley K, Jeffreys M, Penfold C, Pring M, et al. Recruitment, response rates and characteristics of 5511 people enrolled in a prospective clinical cohort study: head and neck 5000. Clin Otolaryngol. 2016;41(6):804–9.CrossRef
10.
go back to reference Fenix JB, Cherlin EJ, Prigerson HG, Johnson-Hurzeler R, Kasl SV, Bradley EH. Religiousness and major depression among bereaved family caregivers: a 13-month follow-up study. J Palliat Care. 2006;22(4):286–92.CrossRef Fenix JB, Cherlin EJ, Prigerson HG, Johnson-Hurzeler R, Kasl SV, Bradley EH. Religiousness and major depression among bereaved family caregivers: a 13-month follow-up study. J Palliat Care. 2006;22(4):286–92.CrossRef
11.
go back to reference van Nieuwenhuizen AJ, Buffart LM, Smit JH, Brakenhoff RH, Braakhuis BJ, de Bree R, et al. A comprehensive assessment protocol including patient reported outcomes, physical tests, and biological sampling in newly diagnosed patients with head and neck cancer: is it feasible? Support Care Cancer. 2014;22(12):3321–30.CrossRef van Nieuwenhuizen AJ, Buffart LM, Smit JH, Brakenhoff RH, Braakhuis BJ, de Bree R, et al. A comprehensive assessment protocol including patient reported outcomes, physical tests, and biological sampling in newly diagnosed patients with head and neck cancer: is it feasible? Support Care Cancer. 2014;22(12):3321–30.CrossRef
12.
go back to reference Verdonck-de Leeuw IM, Jansen F, Brakenhoff RH, Langendijk JA, Takes R, Terhaard CHJ, et al. Advancing interdisciplinary research in head and neck cancer through a multicenter longitudinal prospective cohort study: the NETherlands QUality of life and BIomedical cohort (NET-QUBIC) data warehouse and biobank. BMC Cancer. 2019;19(1):765.CrossRef Verdonck-de Leeuw IM, Jansen F, Brakenhoff RH, Langendijk JA, Takes R, Terhaard CHJ, et al. Advancing interdisciplinary research in head and neck cancer through a multicenter longitudinal prospective cohort study: the NETherlands QUality of life and BIomedical cohort (NET-QUBIC) data warehouse and biobank. BMC Cancer. 2019;19(1):765.CrossRef
13.
go back to reference Santoso AMM, Jansen F, Lissenberg-Witte BI, Baatenburg de Jong RJ, Langendijk JA, Leemans CR, et al. Sleep quality trajectories from head and neck cancer diagnosis to six months after treatment. Oral Oncol. 2021;115:105211.CrossRef Santoso AMM, Jansen F, Lissenberg-Witte BI, Baatenburg de Jong RJ, Langendijk JA, Leemans CR, et al. Sleep quality trajectories from head and neck cancer diagnosis to six months after treatment. Oral Oncol. 2021;115:105211.CrossRef
14.
go back to reference Santoso AMM, Jansen F, Lissenberg-Witte BI, Baatenburg de Jong RJ, Langendijk JA, Leemans CR, et al. Poor sleep quality among newly diagnosed head and neck cancer patients: prevalence and associated factors. Support Care Cancer. 2021;29(2):1035–45.CrossRef Santoso AMM, Jansen F, Lissenberg-Witte BI, Baatenburg de Jong RJ, Langendijk JA, Leemans CR, et al. Poor sleep quality among newly diagnosed head and neck cancer patients: prevalence and associated factors. Support Care Cancer. 2021;29(2):1035–45.CrossRef
15.
go back to reference Piai V, Prins JB, Verdonck-de Leeuw IM, Leemans CR, Terhaard CHJ, Langendijk JA, et al. Assessment of neurocognitive impairment and speech functioning before head and neck Cancer treatment. JAMA Otolaryngol Head Neck Surg. 2019;145(3):251–7.CrossRef Piai V, Prins JB, Verdonck-de Leeuw IM, Leemans CR, Terhaard CHJ, Langendijk JA, et al. Assessment of neurocognitive impairment and speech functioning before head and neck Cancer treatment. JAMA Otolaryngol Head Neck Surg. 2019;145(3):251–7.CrossRef
16.
go back to reference Mirosevic S, Thewes B, van Herpen C, Kaanders J, Merkx T, Humphris G, et al. Prevalence and clinical and psychological correlates of high fear of cancer recurrence in patients newly diagnosed with head and neck cancer. Head Neck. 2019;41(9):3187–200.CrossRef Mirosevic S, Thewes B, van Herpen C, Kaanders J, Merkx T, Humphris G, et al. Prevalence and clinical and psychological correlates of high fear of cancer recurrence in patients newly diagnosed with head and neck cancer. Head Neck. 2019;41(9):3187–200.CrossRef
17.
go back to reference Douma JAJ, Verdonck-de Leeuw IM, Leemans CR, Jansen F, Langendijk JA, Baatenburg de Jong RJ, et al. Demographic, clinical and lifestyle-related correlates of accelerometer assessed physical activity and fitness in newly diagnosed patients with head and neck cancer. Acta oncologica (Stockholm, Sweden). 2020;59(3):342–50.CrossRef Douma JAJ, Verdonck-de Leeuw IM, Leemans CR, Jansen F, Langendijk JA, Baatenburg de Jong RJ, et al. Demographic, clinical and lifestyle-related correlates of accelerometer assessed physical activity and fitness in newly diagnosed patients with head and neck cancer. Acta oncologica (Stockholm, Sweden). 2020;59(3):342–50.CrossRef
18.
go back to reference Douma JAJ, de Beaufort MB, Kampshoff CS, Persoon S, Vermaire JA, Chinapaw MJ, et al. Physical activity in patients with cancer: self-report versus accelerometer assessments. Support Care Cancer. 2020;28(8):3701–9.CrossRef Douma JAJ, de Beaufort MB, Kampshoff CS, Persoon S, Vermaire JA, Chinapaw MJ, et al. Physical activity in patients with cancer: self-report versus accelerometer assessments. Support Care Cancer. 2020;28(8):3701–9.CrossRef
19.
go back to reference Oriani A, Dunleavy L, Sharples P, Perez Algorta G, Preston NJ. Are the MORECare guidelines on reporting of attrition in palliative care research populations appropriate? A systematic review and meta-analysis of randomised controlled trials. BMC palliative care. 2020;19(1):6.CrossRef Oriani A, Dunleavy L, Sharples P, Perez Algorta G, Preston NJ. Are the MORECare guidelines on reporting of attrition in palliative care research populations appropriate? A systematic review and meta-analysis of randomised controlled trials. BMC palliative care. 2020;19(1):6.CrossRef
20.
go back to reference Applebaum AJ, Lichtenthal WG, Pessin HA, Radomski JN, Simay Gökbayrak N, Katz AM, et al. Factors associated with attrition from a randomized controlled trial of meaning-centered group psychotherapy for patients with advanced cancer. Psychooncology. 2012;21(11):1195–204.CrossRef Applebaum AJ, Lichtenthal WG, Pessin HA, Radomski JN, Simay Gökbayrak N, Katz AM, et al. Factors associated with attrition from a randomized controlled trial of meaning-centered group psychotherapy for patients with advanced cancer. Psychooncology. 2012;21(11):1195–204.CrossRef
21.
go back to reference van der Hout A, van Uden-Kraan CF, Holtmaat K, Jansen F, Lissenberg-Witte BI, Nieuwenhuijzen GAP, et al. Role of eHealth application Oncokompas in supporting self-management of symptoms and health-related quality of life in cancer survivors: a randomised, controlled trial recruitment, response rates and characteristics of 5511 people enrolled in a prospective clinical cohort study: head and neck 5000. Lancet Oncol. 2020;21(1):80–94.CrossRef van der Hout A, van Uden-Kraan CF, Holtmaat K, Jansen F, Lissenberg-Witte BI, Nieuwenhuijzen GAP, et al. Role of eHealth application Oncokompas in supporting self-management of symptoms and health-related quality of life in cancer survivors: a randomised, controlled trial recruitment, response rates and characteristics of 5511 people enrolled in a prospective clinical cohort study: head and neck 5000. Lancet Oncol. 2020;21(1):80–94.CrossRef
22.
go back to reference van Uden-Kraan CF, Jansen F, Lissenberg-Witte BI, Eerenstein SEJ, Leemans CR, Verdonck-de Leeuw IM. Health-related and cancer-related internet use by patients treated with total laryngectomy. Support Care Cancer. 2020;28(1):131–40.CrossRef van Uden-Kraan CF, Jansen F, Lissenberg-Witte BI, Eerenstein SEJ, Leemans CR, Verdonck-de Leeuw IM. Health-related and cancer-related internet use by patients treated with total laryngectomy. Support Care Cancer. 2020;28(1):131–40.CrossRef
Metadata
Title
Study retention and attrition in a longitudinal cohort study including patient-reported outcomes, fieldwork and biobank samples: results of the Netherlands quality of life and Biomedical cohort study (NET-QUBIC) among 739 head and neck cancer patients and 262 informal caregivers
Authors
Femke Jansen
Ruud H. Brakenhoff
Rob J. Baatenburg de Jong
Johannes A. Langendijk
C. René Leemans
Robert P. Takes
Chris H. J. Terhaard
Jan H. Smit
Irma M. Verdonck-de Leeuw
Publication date
01-12-2022
Publisher
BioMed Central
Published in
BMC Medical Research Methodology / Issue 1/2022
Electronic ISSN: 1471-2288
DOI
https://doi.org/10.1186/s12874-022-01514-y

Other articles of this Issue 1/2022

BMC Medical Research Methodology 1/2022 Go to the issue