CClinicalTrials.gg
RecruitingNCT06615349Updated Jul 10, 2025

DigiPall; a Trial of Digital Patient Reported Outcome and Biomarker Monitoring in Palliative Care

An interventional study of DigiPall in Terminal Illness and Terminal Cancer, sponsored by David Blum. Recruiting at 1 site in Switzerland. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2025-07-10.

Sponsored by David Blum · Not applicable, Interventional, and Supportive care

From the registry’s dates

  • Started Jun 2025; still recruiting 1 year 3 months later.
Phase
Not applicable
Study type
Interventional
Enrollment
382
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study summary

The aim of this study is to test if a system consisting of a wearable device measuring heartbeats and steps, together with daily communication with a chatbot on the smartphone asking the patients about their symptoms and giving tips, can reduce unplanned hospital readmissions and improve well-being in advanced cancer and severely ill patients.

Read the detailed description

The aim of this study is to test the effect of a remote symptom and digital biomarker monitoring system on unplanned hospital readmissions, quality of life and sense of security in advanced cancer patients and patients with severe illnesses in palliative care.

Patients with cancer or other life-threatening illnesses are often burdened with pain and other distressing symptoms. Palliative care is an approach to prevent and relief suffering by means of early identification, assessment and treatment of these symptoms with the overall aim to improve quality of life of patients.

Palliative care wards are established in larger hospitals in Switzerland and provide short-term acute treatment of patients with incurable diseases. More than half of the patients are discharged home. However, unplanned rehospitalisations and emergency visits unfortunately occur frequently. Unplanned rehospitalisations are burdensome for the patient and caregiver and they are associated with higher costs. Up to 50% of unplanned rehospitalisations or hospital readmissions are deemed avoidable.

An unplanned hospital readmission within a specified time frame is an often applied quality benchmark in health care. When patients are discharged from specific palliative care wards, a good interprofessional outpatient or home care service has been most effective. However, close monitoring through home care teams is time consuming, costly, hindered by long distances and home care teams are not available everywhere. Furthermore, in many European countries primary care practices are rarified and reimbursement of home visits are insufficient. Therefore, new and innovative approaches for monitoring of this patient group are needed, especially in view of a growing number of patients and a decreasing number of care givers.

In the digital era self tracking is becoming more fashionable and daily screen-time is increasing. Concerning symptoms and well-being, patients monitoring themselves is the best option, because only they can adequately determine how they feel. Performance status and its deterioration can be remotely assessed by wearables. Mobile health technology is an easy and feasible way to monitor activity and health status.

This randomized controlled study aims to compare two groups of palliative patients, both receiving standard treatment with the intervention group additionally receiving the monitoring system. In the DigiPall intervention group, biomarker data is continuously gathered by a wearable device and questions about their subjective health status will be answered by the patients through chat. Based on their answers, automated feedback is provided. This feedback will not include any new prescriptions or suggest anything that was not already discussed with the treating physician, rather it will be reminding the patient of options in accordance to the existing treatment plan. There is strong evidence pointing to patients failing to implement the suggested treatment plan after discharge being a key factor in avoidable rehospitalisations. Therefore, the goal of the intervention is to strengthen the patient's self-management ability and sense of security, resulting in a better outcome in addition to reducing health care cost.

This approach has been well received in the feasibility study and the current study design has been developed with input by the patients themselves. During the study a patient group for advice will be consulted periodically.

02

Conditions studied

  • Terminal Illness
  • Terminal Cancer

Keywords

  • Palliative Care
  • chatbot
  • wearable
  • PROMs
  • rehospitalisation
  • mobile health
03

In context

Lead sponsor

David Blum is the lead sponsor of 2 studies on the registry; 2 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Inclusion criteria

  • Patients with established diagnosis of a metastatic cancer/severe illness with limited life expectancy receiving palliative care services
  • Estimated life expectancy \<24 months (physician's guess)/ >3 months
  • Karnofsky Index ≥ 50% / ECOG≤ 2
  • Aged >18 years
  • Owns and uses a smartphone
  • Give written informed consent

Exclusion criteria

Exclusion Criteria:

  • Patients under curative treatment
  • Relevant cognitive impairment
05

Study design

Phase
Not applicable
Primary purpose
Supportive care
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Outcomes assessor)
Enrollment
382 participants (estimated)

Study arms

  • Experimental
    DigiPall

    Patients receive standard of care + DigiPall intervention

    Behavioral: DigiPall

  • No intervention
    control

    Patients receive standard of care

Interventions

  • BehavioralDigiPall

    DigiPall is an intervention combining a sensor-equipped wearable with a chatbot communicating via WhatsApp on the patient's smartphone. Patients will be asked two questions daily for their subjective rating through WhatsApp on their smartphone, worded slightly differently depending on the measured values for steps, heart rate and compliance as well as the patient's answer the day before.

06

What researchers measure

Primary outcomes

  1. rate of unplanned rehospitalisations and emergency visits

    measure will be derived from hospital reports as well as statements by the patient on a weekly basis

    Time frame: 84 days

Secondary outcomes

  1. Quality of Life in palliative cancer care patients (EORTC QLQ-C15-PAL)

    14 items scored from 1-4, higher score indicates worse outcome 1 item scored from 1-7, higher score indicates better outcome

    Time frame: 91 days

  2. Sense of Security in Care - Patient Edition (SEC-P)

    16 items scored from 1-6, higher score indicates better outcome

    Time frame: 91 days

  3. survival

    overall survival

    Time frame: 365 days

07

Study locations

1 of 1 sites recruiting
  • University Hospital Zurich
    Zurich, Canton of Zurich 8091, Switzerland
    • David Blum, MD PhD · Contact · david.blum@usz.ch · 0041442553742
    • Manuel Amann, MS · Principal investigator
    Recruiting
08

References and documents

Publications

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  • Gerhardt G, Yemane A, Hickman P, Oelschlaeger A, Rollins E, Brennan N. Medicare readmission rates showed meaningful decline in 2012. Medicare Medicaid Res Rev. 2013 May 28;3(2):mmrr.003.02.b01. doi: 10.5600/mmrr.003.02.b01. eCollection 2013. PubMed 24753966 ↗
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  • Witt D, Kellogg R, Snyder M, Dunn J. Windows Into Human Health Through Wearables Data Analytics. Curr Opin Biomed Eng. 2019 Mar;9:28-46. doi: 10.1016/j.cobme.2019.01.001. Epub 2019 Jan 28. PubMed 31832566 ↗
  • Urrea B, Misra S, Plante TB, Kelli HM, Misra S, Blaha MJ, Martin SS. Mobile Health Initiatives to Improve Outcomes in Primary Prevention of Cardiovascular Disease. Curr Treat Options Cardiovasc Med. 2015 Dec;17(12):59. doi: 10.1007/s11936-015-0417-7. PubMed 26474892 ↗
  • Mendoza M, Han M, Meyring-Wosten A, Wilund K, Kotanko P. It's a non-dialysis day... Do you know how your patient is doing? A case for research into interdialytic activity. Blood Purif. 2015;39(1-3):74-83. doi: 10.1159/000369430. Epub 2015 Jan 20. PubMed 25662096 ↗
  • Strohrmann C, Labruyere R, Gerber CN, van Hedel HJ, Arnrich B, Troster G. Monitoring motor capacity changes of children during rehabilitation using body-worn sensors. J Neuroeng Rehabil. 2013 Jul 30;10:83. doi: 10.1186/1743-0003-10-83. PubMed 23899401 ↗
  • Seiter J, Derungs A, Schuster-Amft C, Amft O, Troster G. Daily life activity routine discovery in hemiparetic rehabilitation patients using topic models. Methods Inf Med. 2015;54(3):248-55. doi: 10.3414/ME14-01-0082. Epub 2015 Feb 6. PubMed 25658903 ↗
  • Muaremi A, Arnrich B, Troster G. Towards Measuring Stress with Smartphones and Wearable Devices During Workday and Sleep. Bionanoscience. 2013;3(2):172-183. doi: 10.1007/s12668-013-0089-2. PubMed 25530929 ↗
  • Bennett AV, Jensen RE, Basch E. Electronic patient-reported outcome systems in oncology clinical practice. CA Cancer J Clin. 2012 Sep-Oct;62(5):337-47. doi: 10.3322/caac.21150. Epub 2012 Jul 18. PubMed 22811342 ↗
  • Brunelli C, Kaasa S, Knudsen AK, Hjermstad MJ, Pigni A, Caraceni A. Comparisons of patient and physician assessment of pain-related domains in cancer pain classification: results from a large international multicenter study. J Pain. 2014 Jan;15(1):59-67. doi: 10.1016/j.jpain.2013.09.011. Epub 2013 Oct 2. PubMed 24373570 ↗
  • Lundstrom S. Is it reliable to use cellular phones for symptom assessment in palliative care? Report on a study in patients with advanced cancer. J Palliat Med. 2009 Dec;12(12):1087. doi: 10.1089/jpm.2009.0207. No abstract available. PubMed 19995287 ↗
  • Basch E, Deal AM, Dueck AC, Scher HI, Kris MG, Hudis C, Schrag D. Overall Survival Results of a Trial Assessing Patient-Reported Outcomes for Symptom Monitoring During Routine Cancer Treatment. JAMA. 2017 Jul 11;318(2):197-198. doi: 10.1001/jama.2017.7156. PubMed 28586821 ↗
  • Ferriolli E, Skipworth RJ, Hendry P, Scott A, Stensteth J, Dahele M, Wall L, Greig C, Fallon M, Strasser F, Preston T, Fearon KC. Physical activity monitoring: a responsive and meaningful patient-centered outcome for surgery, chemotherapy, or radiotherapy? J Pain Symptom Manage. 2012 Jun;43(6):1025-35. doi: 10.1016/j.jpainsymman.2011.06.013. Epub 2012 Jan 24. PubMed 22269181 ↗
  • Kaasa S, Loge JH, Fayers P, Caraceni A, Strasser F, Hjermstad MJ, Higginson I, Radbruch L, Haugen DF. Symptom assessment in palliative care: a need for international collaboration. J Clin Oncol. 2008 Aug 10;26(23):3867-73. doi: 10.1200/JCO.2007.15.8881. PubMed 18688054 ↗
  • Abernethy AP, Currow DC. Patient self-reporting in palliative care using information technology: Yes, there is hope! Palliat Med. 2011 Oct;25(7):673-4. doi: 10.1177/0269216311422760. No abstract available. PubMed 21987664 ↗
  • Cox A, Illsley M, Knibb W, Lucas C, O'Driscoll M, Potter C, Flowerday A, Faithfull S. The acceptability of e-technology to monitor and assess patient symptoms following palliative radiotherapy for lung cancer. Palliat Med. 2011 Oct;25(7):675-81. doi: 10.1177/0269216311399489. Epub 2011 Apr 7. PubMed 21474620 ↗
  • Skipworth RJ, Stene GB, Dahele M, Hendry PO, Small AC, Blum D, Kaasa S, Trottenberg P, Radbruch L, Strasser F, Preston T, Fearon KC, Helbostad JL; European Palliative Care Research Collaborative (EPCRC). Patient-focused endpoints in advanced cancer: criterion-based validation of accelerometer-based activity monitoring. Clin Nutr. 2011 Dec;30(6):812-21. doi: 10.1016/j.clnu.2011.05.010. Epub 2011 Jul 5. PubMed 21733604 ↗
  • Ng A, Gupta E, Bansal S, Fontillas RC, Amos CE Jr, Williams JL, Dibaj S, Bruera E. Cancer Patients' Perception of Usefulness of Wearable Exercise Trackers. PM R. 2021 Aug;13(8):845-851. doi: 10.1002/pmrj.12475. Epub 2020 Oct 20. PubMed 32844592 ↗
  • Pavic M, Klaas V, Theile G, Kraft J, Troster G, Blum D, Guckenberger M. Mobile Health Technologies for Continuous Monitoring of Cancer Patients in Palliative Care Aiming to Predict Health Status Deterioration: A Feasibility Study. J Palliat Med. 2020 May;23(5):678-685. doi: 10.1089/jpm.2019.0342. Epub 2019 Dec 23. PubMed 31873052 ↗
  • Blum D, Koeberle D, Omlin A, Walker J, Von Moos R, Mingrone W, deWolf-Linder S, Hayoz S, Kaasa S, Strasser F, Ribi K. Feasibility and acceptance of electronic monitoring of symptoms and syndromes using a handheld computer in patients with advanced cancer in daily oncology practice. Support Care Cancer. 2014 Sep;22(9):2425-34. doi: 10.1007/s00520-014-2201-8. Epub 2014 Apr 5. PubMed 24705855 ↗
  • Blum D, Koeberle D, Ribi K, Schmitz SF, Utiger U, Klingbiel D, Strasser F. Electronic monitoring of symptoms and syndromes associated with cancer: methods of a randomized controlled trial SAKK 95/06 E-MOSAIC. BMC Palliat Care. 2012 Sep 24;11:19. doi: 10.1186/1472-684X-11-19. PubMed 23006802 ↗
  • Strasser F, Blum D, von Moos R, Cathomas R, Ribi K, Aebi S, Betticher D, Hayoz S, Klingbiel D, Brauchli P, Haefner M, Mauri S, Kaasa S, Koeberle D; Swiss Group for Clinical Cancer Research (SAKK). The effect of real-time electronic monitoring of patient-reported symptoms and clinical syndromes in outpatient workflow of medical oncologists: E-MOSAIC, a multicenter cluster-randomized phase III study (SAKK 95/06). Ann Oncol. 2016 Feb;27(2):324-32. doi: 10.1093/annonc/mdv576. Epub 2015 Dec 8. PubMed 26646758 ↗
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  • Groenvold M, Petersen MA, Aaronson NK, Arraras JI, Blazeby JM, Bottomley A, Fayers PM, de Graeff A, Hammerlid E, Kaasa S, Sprangers MA, Bjorner JB; EORTC Quality of Life Group. The development of the EORTC QLQ-C15-PAL: a shortened questionnaire for cancer patients in palliative care. Eur J Cancer. 2006 Jan;42(1):55-64. doi: 10.1016/j.ejca.2005.06.022. Epub 2005 Sep 12. PubMed 16162404 ↗
  • Basch E, Deal AM, Kris MG, Scher HI, Hudis CA, Sabbatini P, Rogak L, Bennett AV, Dueck AC, Atkinson TM, Chou JF, Dulko D, Sit L, Barz A, Novotny P, Fruscione M, Sloan JA, Schrag D. Symptom Monitoring With Patient-Reported Outcomes During Routine Cancer Treatment: A Randomized Controlled Trial. J Clin Oncol. 2016 Feb 20;34(6):557-65. doi: 10.1200/JCO.2015.63.0830. Epub 2015 Dec 7. PubMed 26644527 ↗
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  • Bradley EH, Curry L, Horwitz LI, Sipsma H, Thompson JW, Elma M, Walsh MN, Krumholz HM. Contemporary evidence about hospital strategies for reducing 30-day readmissions: a national study. J Am Coll Cardiol. 2012 Aug 14;60(7):607-14. doi: 10.1016/j.jacc.2012.03.067. Epub 2012 Jul 18. PubMed 22818070 ↗
  • Krevers B, Milberg A. The instrument 'sense of security in care--patients' evaluation': its development and presentation. Psychooncology. 2014 Aug;23(8):914-20. doi: 10.1002/pon.3502. Epub 2014 Feb 14. PubMed 24677414 ↗
  • Wallace EM, Cooney MC, Walsh J, Conroy M, Twomey F. Why do palliative care patients present to the emergency department? Avoidable or unavoidable? Am J Hosp Palliat Care. 2013 May;30(3):253-6. doi: 10.1177/1049909112447285. Epub 2012 May 23. PubMed 22628898 ↗

Individual participant data

Plan to share: No

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jul 10, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT06615349
Lead sponsor
David Blum
Collaborators
Zurich University of Applied Sciences
Responsible party
David Blum (Medical Director Palliative Care Center USZ, University of Zurich) — Sponsor-investigator
First posted
Sep 26, 2024
Start date
Jun 11, 2025
Primary completion
Jun 2027 (estimated)
Completion
Sep 2027 (estimated)
Last update
Jul 10, 2025

Study contacts

David Blum, MD PhD
Contact
david.blum@usz.ch
0041432533742
David Blum, MD PhD
principal investigator · University of Zurich

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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