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| ID | Type | Description | Link |
|---|---|---|---|
| STHB.01.01-IP.01-0005/23 | Other Grant/Funding Number | Interreg South Baltic 2021-2027 programme |
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| Name | Class |
|---|---|
| University Clinical Centre, Gdansk | OTHER |
| University Medicine Greifswald | OTHER |
| University Medical Center Rostock | OTHER |
| Zealand University Hospital |
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Introduction:
The number of diagnosed cancers is systematically increasing every year. Cancer patients need to undergo regular blood tests to monitor safety and eligibility for treatment. In case of poor blood results, the chemotherapy session must be omitted. For patients living far from the center, this means unnecessary travel with involvement of helpers, additional costs, increased potential of hospital acquired infections, and frustration associated with missed opportunity for treatment.
Aims:
The primary aim of this study is to gain knowledge about successful implementation of remote, home monitoring of complete blood count to cancer patients during and after systemic treatment for cancer. The secondary aim of the AMBeR collective study protocol is to pilot new technology, gain more context around future investigations and verify costs and changes in patient treatment pathways.
Methodology:
The investigators will test implementation of home blood monitoring in three South Baltic Countries (DK, PL, GER). Each site will participate in the implementation study with study group á n=33 (total n=165) and control group n=20 (total n=100). The duration of the study is planned for 4 cycles of chemotherapy for each patient and a 3-month follow up period. The first cycle of learning and training at the Outpatient Daily Clinic, then the remaining 3 cycles of blood monitoring at home. The average cycle length is 21-30 days, number of measurements will be determined individually depending on the diagnosis. At a baseline, after 4 cycles of chemotherapy (12-16 weeks) and after a 3-month follow-up period, parallel studies will be carried out in both the study and control groups, using mixed methods the investigators will assess outcomes of reach, effectiveness, adoption, implementation and maintenance (RE-AIM).
Expected benefits:
Implementation of the AMBeR study should reduce the amount of unnecessary and nontherapeutic hospital visits and improve manageability and independence of the patients. The investigators believe that the decrease in the number of hospital visits will diminish the risk of infection for vulnerable individuals, as well as save costs for patients and hospitals. These factors will also translate into better logistics of chemotherapy units, decreased carbon-dioxide trail, and improved quality of life and patient empowerment.
Introduction:
The incidence of cancer is expected to increase by 30% over the next 20 years, mainly due to the increase in the elderly population. This will lead to a dramatic increase in the number of cancer patients in the future. Cancer patients need to undergo regular blood tests to monitor safety and eligibility for treatment. In case of poor blood results, the chemotherapy session must be omitted or modified. For patients living far from the center, this means unnecessary travel with involvement of helpers, additional costs, increased potential of hospital acquired infections, and frustration associated with missed opportunity for treatment. Digitizing cancer care can increase patients' active involvement in their own treatment, improve quality of life and reduce inequalities in access to health care. Therefore, there is a strong need to develop and implement new ways of making cancer diagnostics and treatments available to patients in their own homes.
Objective The primary aim of this study is to gain knowledge about successful implementation of remote, home monitoring of complete blood count to cancer patients during systemic treatment for cancer. The secondary aim of the AMBeR collective study protocol is to pilot new technology, gain more context around future investigations and verify costs and changes in patient treatment pathways.
Methods
Trial design This study is a multinational multisite implementation research study to pilot test implementation of home blood monitoring in 3 South Baltic countries (PL, DK, GER).
Study setting and organization The current study is part of the Interreg South Baltic Program-funded project "AMBeR" (Advanced Modelling of Baltic cancer e-caRe). A total of seven partners from five countries are involved and are working on five different WP's. The following 5 of the 7 project partners are involved in the study (WP3): 1) Zealand University Hospital Næstved, Denmark (ZUH); 2) University Medical Center Rostock, Germany (UMC Rostock); 3) University Medical Center Greifswald, Germany (UMC Greifswald); 4) University Clinical Center Gdańsk, Poland (UCC Gdańsk); 5) Pomeranian Medical University Szczecin, Poland (PMU).
Intervention The aim of this study is to evaluate the feasibility and validity of home monitoring of blood parameters during systemic treatment of cancer patients using the HemoScreen device in the patient's home. Participants will be oncology patients undergoing outpatient chemotherapy in Oncology and Hematology Departments in 5 different centers in the South Baltic region.
The investigators plan to enroll 33 patients from each center in the study group and 20 patients in the control group. Patients in the control group will undergo standard chemotherapy treatment and blood monitoring in general laboratory at the Outpatient Daily Clinic.
Patients from the study group will be instructed in the use of the HemoScreen device by trained staff and will complete self-tests throughout their first cycle of chemotherapy at the Outpatient Daily Clinic (average cycle duration 21-30 days, number of measurements determined individually depending on the diagnosis). Patients will then be given HemoScreen to use at home and will be tested immediately or up to 48 hours before their scheduled outpatient visit for chemotherapy. The results obtained will be sent to the coordinator via the IT system at least 24 hours before the planned administration of chemotherapy to determine contraindications to treatment.
If the results do not qualify for chemotherapy, depending on the center, a decision will be made to arrive to the Outpatient Daily Clinic to verify the test or to postpone the visit and issue recommendations. Each time a patient arrives at the Outpatient Day Clinic for chemotherapy, a standard venous blood test will be performed in the general laboratory. Any decision on the final administration of chemotherapy will be based on the blood count obtained from the general laboratory, not from the HemoScreen device. All trial procedures are done in addition to standard care.
The duration of the study was planned for 4 cycles of chemotherapy for each patient and a 3-month follow-up period. The first cycle of learning and training at the Outpatient Daily Clinic, then the remaining 3 cycles of blood monitoring at home. At a baseline, after 4 cycles of chemotherapy (12-16 weeks) and after a 3-month follow-up period, parallel studies will be carried out in both the study and control groups, using questionnaires (PROM's) assessing a health status and quality of life to evaluate the impact of an intervention.
Implementation
Following workshop 1, pre-study identification of expected barriers and facilitators for patients to engage in remote blood monitoring at home will be carried out in 4 steps:
Assessing RQ1: Patient's and HCP's perspectives on determinants
In the final phase of the pilot study, the investigators will examine the perspectives of patients and HCPs on important determinants of engagement in remote home blood monitoring using the Group Concept Mapping technique. The process will follow 5 pre-described steps and all activity will be online utilizing the software Groupwisdom:
Quantitative outcomes The investigators will use the RE-AIM framework (REF) for a systematic quantification of outcomes. A range of different outcomes, measurement methods and data sources will be used.
Data collection and management A REDCap database will be created for all study outcomes and relevant data to be collected and safely stored.
Participant and Non-participant questionnaires To obtain information about eligible patients who refuse participation in remote home blood monitoring, the investigators will invite patients to complete a short survey containing information about their characteristics, reasons for refusal, and barriers to participation. Patients who accept participation will receive a larger questionnaire reporting further on Patient Reported Outcome Measures (PROMs) and Patient Reported Experience Measures (PREMs). PROMs and PREMs will be collected using validated questionnaires. Additionally, the investigators want to examine the implementation process. To this end, a survey will be conducted at the end of the study to examine participants' and medical professionals' experiences of implementation.
Effectiveness evaluation At the baseline, after 16 weeks of treatment and 3 months of follow-up, a survey will be conducted regarding patients' perceptions of their care experience, including quality of life (PROM's - EORTC QLQ C30; EQ-5D 5L) and acceptability (Theoretical framework of Acceptability). Adherence to home blood testing and adverse events will be recorded throughout the study. At the same time, the investigators will analyze the number of unnecessary and non-therapeutic hospital visits that could potentially be avoided. Finally, health economic data will be collected to assess the economic value of the project and conduct cost-benefit analysis.
Harms and drop-outs Remote blood monitoring may be associated with adverse events and the ongoing and systematic registration of harm, drop-out and reasons for drop-out. This information will be recorded in the database on a day-to-day basis.
Economic/resource evaluation Based on the collected process data, the investigators will conduct an economic analysis assessing the time, resources and costs used for remote home monitoring. Additionally, the investigators would like to evaluate the price of the device with disposable materials, maintenance costs, time and amount of money necessary for training. Thanks to the above calculations, the investigators will try to estimate the cost-effectiveness of the change and the effective use of resources to perform blood test at home.
Sample size in pilot trials First, sample size of the pilot trial was estimated based on considerations to ensure sufficient accumulation of experience at each site to draw upon in the development of eMOC, supported by the literature on sample size recommendations for pilot and feasibility trials.
Second, the investigators defined success in the study if patients were able to use the HemoScreen equipment properly at home by following the instructions they received. Failure was defined as when the patients must call the helpline or notice that they are not using the equipment correctly at home. The investigators assumed the expected probability of success at po = 0.90. The investigators decided that if the probability of success is p=0.70 (or less), then the HemoScreen may not be useful in a given context. The null hypothesis of the study is Ho: p = p0, and the investigators wanted to test the alternative hypothesis Ha: p \
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Study group | Oncology patients undergoing home blood monitoring. n=33 per site. | ||
| Control group | Oncology patients undergoing standard blood testing in the general laboratory at the Outpatient Clinic. n=20 per site. |
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| Measure | Description | Time Frame |
|---|---|---|
| Patient's perspectives on determinants assessed by Group Concept Mapping | Following completion or in the final phase of the pilot study, the investigators will examine the perspectives of patients on important determinants of engagement in remote home blood monitoring using the Group Concept Mapping technique. The process will follow 5 pre-described steps and all activity will be online utilizing the software Groupwisdom. The steps are as follows:
The investigators will invite a representative sample of patients for study. | from 4 to 12 weeks of patient participation in the intervention |
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| Measure | Description | Time Frame |
|---|---|---|
| Healthcare proffessionals' perspectives on determinants assessed by Group Concept Mapping | Following completion or in the final phase of the pilot study, the investigators will examine the perspectives of HCPs on important determinants of engagement in remote home blood monitoring using the Group Concept Mapping technique. The process will follow 5 pre-described steps and all activity will be online utilizing the software Groupwisdom. The steps are as follows: 1) Brainstorming 2) Sorting and labelling 3) Rating 4) Generating a cluster rating map 5) Validation of the cluster rating map The investigators will invite all participating intervention delivering HCP´s to the study. |
Inclusion Criteria:
Exclusion Criteria:
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Eligible patients are patients that suffer from cancer, require outpatient chemotherapy, and have sufficient manual skills and good eyesight to independently perform home blood monitoring, and sufficient cognitive skills to operate POCT and transfer data.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Bartłomiej Baumert, MD, PhD, DSc | Contact | +48 91 4250428 | bartlomiej.baumert@pum.edu.pl | |
| Karolina Szmuc, MSc | Contact | +48 91 4250428 | karolina.szmuc@usk1.szczecin.pl |
| Name | Affiliation | Role |
|---|---|---|
| Bogusław Machaliński, MD, PhD, Prof | Department of Hematology and Transplantology, Pomeranian Medical University in Szczecin | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Department of Oncology, Zealand University Hospital | Recruiting | Næstved | Region Sjælland | 4700 | Denmark |
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| Label | URL |
|---|---|
| Homepage for the AMBeR project, of which the AMBeR Home Blood Monitoring is a work package and separately registered study. | View source |
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| OTHER |
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| between 5 patient treatments completed and end of study (on average 1 year) |
| Number of referrals | Number of referred patients | Baseline |
| Recruitment rates | Number of enrolled vs. declined | Baseline |
| Sex of enrolled patients | a) male; b) female | Baseline |
| Sex of decliners | a) male; b) female | Baseline |
| Body height of enrolled patients | Measured in meters | Baseline |
| Body height of decliners | Measured in meters | Baseline |
| Body weight of enrolled patients | Measured in kilograms | Baseline |
| Body weight of decliners | Measured in kilograms | Baseline |
| Cancer disease of enrolled patients | Cancer type, cancer treatment, treatment intent | Baseline |
| Cancer disease of decliners | Cancer type, cancer treatment, treatment intent | Baseline |
| Educational level of enrolled patients according to International Standard Classification of Education | International Standard Classification of Education (ISCED) ISCED 0 = Early childhood education ISCED 1 = Primary Education ISCED 2 = Lower Secondary Education ISCED 3 = Upper Secondary Education ISCED 4 = Post-secondary non-Tertiary Education ISCED 5 = Short-cycle tertiary education ISCED 6 = Bachelors degree or equivalent tertiary education level ISCED 7 = Masters degree or equivalent tertiary education level ISCED 8 = Doctoral degree or equivalent tertiary education level | Baseline |
| Educational level of decliners according to International Standard Classification of Education | International Standard Classification of Education (ISCED) ISCED 0 = Early childhood education ISCED 1 = Primary Education ISCED 2 = Lower Secondary Education ISCED 3 = Upper Secondary Education ISCED 4 = Post-secondary non-Tertiary Education ISCED 5 = Short-cycle tertiary education ISCED 6 = Bachelors degree or equivalent tertiary education level ISCED 7 = Masters degree or equivalent tertiary education level ISCED 8 = Doctoral degree or equivalent tertiary education level | Baseline |
| Employment status of enrolled patients | a) Full time, b) part time, c) self-employed, d) unemployed seeking work, e) unemployed not seeking work, f) student, g) retired, h) unable to work, i) other | Baseline |
| Employment status of decliners | a) Full time, b) part time, c) self-employed, d) unemployed seeking work, e) unemployed not seeking work, f) student, g) retired, h) unable to work, i) other | Baseline |
| Distance to facility of enrolled patients | Measured in km | Baseline |
| Distance to facility of decliners | Measured in km | Baseline |
| Transport time to facility of enrolled patients | Measured in minutes | Baseline |
| Transport time to facility of decliners | Measured in minutes | Baseline |
| Health technology readiness assessed by Readiness and Enablement Index for Health Technology | The Readiness and Enablement Index for Health Technology (READHY) instrument consists of 13 dimensions with a total of 65 items. All 13 scales reflect the conceptual dimensions and are rated on a Likert-type scale from 1=strongly disagree to 4=strongly agree | Assessed pre-, post-intervention (16 weeks) and after 3 months of follow up |
| European Organization of Research and Treatment in Cancer, core module (C30) | Health Related Quality of Life tool for use in clinical trials in oncology, consisting of 30 questions, from which one can obtain points from 0 to 100. The higher the score, the lower the patient's quality of life. | Assessed pre-, post-intervention (16 weeks) and after 3 months of follow up |
| EuroQol-5 Dimensions-5 Levels | EuroQol-5 Dimensions-5 Levels (EQ-5D 5L) is a standardised measure of health-related quality of life developed by the EuroQol Group to provide a simple, generic questionnaire. For the EQ-5D-5L questionnaire, 3125 health states were defined: from "11111" (no problems at all) to "55555" ("extreme problems" in all five domains) | Assessed pre-, post-intervention (16 weeks) and after 3 months of follow up |
| Attendance rate | Number of home blood tests performed versus number of tests ordered | Assessed post-intervention (16 weeks) |
| Adverse events during home blood testing | Registration of all adverse events throughout the intervention | Assessed post-intervention (16 weeks) |
| Acceptability for patients assessed using the Theoretical Framework of Acceptability Questionnaire | Theoretical Framework of Acceptability (TFA) Questionnaire is used to assess operational problems and failure rates in terms of technology and language. It consists of 8 questions that can be answered on a scale of difficulty in using technology or understanding the language from 1 (min.) to 5 (max.). | Assessed post-intervention (16 weeks) |
| Acceptability for healthcare professionals assessed using the Theoretical Framework of Acceptability Questionnaire | Theoretical Framework of Acceptability (TFA) Questionnaire is used to assess operational problems and failure rates in terms of technology and language. It consists of 8 questions that can be answered on a scale of difficulty in using technology or understanding the language from 1 (min.) to 5 (max.). | Assessed post-intervention (16 weeks) |
| Administrative time consumption per patient | Measured in minutes and number of contact attempts | Assessed post-intervention (16 weeks) |
| Medical time consumption per patient | Measured in minutes | Assessed post-intervention (16 weeks) |
| Clinic and Polyclinic for Internal Medicine C, Hematology and Oncology, Palliative Care Unit, University Medical Center | Recruiting | Greifswald | Mecklenburg-Vorpommern | 17475 | Germany |
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| Department of Medicine, Clinic III, Hematology, Oncology, Palliative Medicine, University Medical Center | Recruiting | Rostock | Mecklenburg-Vorpommern | 18106 | Germany |
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| Department of Oncology and Radiotherapy, University Clinical Center of Gdańsk, | Recruiting | Gdansk | Pomeranian Voivodeship | 80-952 | Poland |
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| Department of Hematology and Transplantology | Recruiting | Szczecin | West Pomeranian Voivodeship | 71-252 | Poland |
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| ID | Term |
|---|---|
| D009369 | Neoplasms |
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