An interventional study of Smartphone app enabling self-registration of physical and mental health in Advanced Unspecific Symptom and Cancer of Unknown Primary Site, sponsored by University of Skövde. Not yet recruiting at 1 site in Sweden. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-10-27.
Sponsored by University of Skövde · Not applicable, Interventional, and Diagnostic
This study evaluates whether self-registration of health data through a smartphone application can benefit patients undergoing diagnostic evaluation for severe unspecific symptoms (AOS) or cancer of unknown primary (CUP) at the Diagnostic Center of Skaraborg Hospital, Sweden. Approximately 200 to 600 patients will be randomized to either an intervention arm, in which they receive a smartphone application for daily self-registration of physical and mental health, secure communication with care providers, and scheduled health-promoting tasks, or a reference arm receiving care as usual. A secondary retrospective cohort of patients admitted to the Diagnostic Center after December 2021 will be included for comparison. The primary outcome is the perceived benefit of the application to the diagnostic procedure, as judged by care staff. Secondary outcomes include patient empowerment, time to diagnosis, and the ability of artificial intelligence and machine learning methods to stratify patients by severity of underlying disease. Participants will be followed for up to three months, corresponding to the duration of the standard diagnostic work-up. The study is mainly observational; all diagnostic procedures are conducted as part of care as usual.
Scientific aim. The aim of the study is to investigate whether self-registration of questionnaire data may benefit patients undergoing diagnostic evaluation for serious and non-specific symptoms, and patients presenting with radiological evidence of a possible malignancy. The study further aims to establish relations between questionnaire data, physical biomarkers, and clinical outcomes in order to improve the diagnostic work-up for this patient group.
Background. Each year, approximately 100 to 200 patients are referred to the Diagnostic Center (DC) at Skaraborg Hospital for examination according to two standardized care pathways (SVF) in Sweden: severe unspecific symptoms (AOS) and cancer of unknown primary (CUP). These patients undergo extensive and resource-intensive diagnostic testing and prolonged investigations. The time required to complete all diagnostic procedures is an additional burden for patients, beyond the symptoms that prompted the referral. Previous research has demonstrated that questionnaire data collected through a smartphone application can support monitoring of health status in patients with alcohol use disorder, where artificial intelligence methods were used to predict patient stability. The present study applies a similar approach, using the Previct Mind application running on the patients' own smartphones, to capture data at home during the initial phase of the diagnostic procedure.
Study design. The study comprises two cohorts. The primary cohort consists of prospectively included patients referred to the DC for diagnostic work-up according to the AOS or CUP care pathways. Participants in the primary cohort are randomized at the first visit to the DC, using consecutively numbered sealed envelopes, to either an intervention arm or a reference arm. Both arms receive care as usual. Participants in the intervention arm receive access to a smartphone application allowing (a) daily self-registration of physical and mental health, (b) assignment of health-promoting tasks by the care provider, (c) secure message-based communication between the patient and the care provider, and (d) a diary function for health-related notes. Simple daily tasks are provided through the application to participants with a low activity level. The reference arm receives care as usual without the application. The secondary cohort consists of retrospective data (biomarker values, diagnostic procedures, diagnosis codes) from patients admitted to the DC after December 2021, and is included to strengthen statistical power for the evaluation of stratification analyses.
Outcomes. The primary outcome is the perceived benefit of the application to the diagnostic procedure, as judged by care staff. Secondary outcomes are: (1) patient empowerment, assessed by questionnaire; (2) time to diagnosis, assessed from medical record data and compared between the intervention arm, the reference arm, and the retrospective cohort; and (3) the ability of artificial intelligence and machine learning methods to stratify patients into groups based on underlying disease severity, using medical history, biomarker panel results, and self-reported physical and mental health. Adverse events associated with data collection and use of the application are recorded as a safety outcome.
Sample size. The primary cohort will comprise at least 200 and at most 600 eligible individuals, with half assigned to the intervention arm. The retrospective cohort will comprise as many patients as can be recruited, with a target of at least 50.
Duration. Each participant in the primary cohort participates for up to three months during the diagnostic procedure at the DC, unless participation is terminated prematurely.
Data management. Data are collected through the Previct Mind system, medical records at Skaraborg Hospital, and questionnaires administered at study visits. The University of Skövde is responsible for compliance with the EU General Data Protection Regulation (GDPR).
Statement of compliance. The study will be conducted in accordance with the ethical principles originating in the Declaration of Helsinki and applicable regional and national regulations. The final study plan, including the final version of the informed consent form, must be approved by an Institutional Ethics Committee before enrollment of any subject.
101 studies on the registry are indexed under Neoplasms, Unknown Primary; 19 are open to participants now.
This study's planned enrollment of 200 is above the median of 52 across 63 interventional studies indexed under Neoplasms, Unknown Primary.
Browse Neoplasms, Unknown Primary studies →University of Skövde is the lead sponsor of 5 studies on the registry; 2 are open to participants now.
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Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.
Exclusion Criteria:
Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.
You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.
Informed consent
Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.
You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Participants in the experimental arm receive access to a smartphone application allowing (a) daily self-registration of physical and mental health, (b) assignment of health-promoting tasks by the care provider, (c) secure message-based communication between the patient and the care provider, and (d) a diary function for health-related notes. Self-registered data is shared with the care provider. Beyond the smartphone application, care as usual is provided.
Other: Smartphone app enabling self-registration of physical and mental health
Reference group, where care as usual is provided.
The intervention comprises a smartphone app enabling self-registration of physical and mental health. By responding to a brief questionnaire every day, the perceived physical and mental health will be recorded and shared with care provider.
Also known as: Previct
Perceived benefit of app-supported self-registration to the diagnostic procedure, as assessed by care staff questionnaire
For each patient in the intervention arm, the treating physician completes a study-specific questionnaire at the conclusion of the diagnostic work-up. The primary reported value is the care staff rating of the extent to which the patient's access to the Previct Mind application influenced decisions made within the diagnostic procedure, on a 5-point ordinal scale where 1 indicates no influence and 5 indicates great influence. Higher scores indicate greater perceived benefit to the diagnostic procedure.
Time frame: Upon conclusion of the diagnostic work-up (up to 12 weeks after enrollment)
Patient-rated engagement and empowerment, as assessed by study-specific patient questionnaires
All study subjects (intervention and reference arms) complete a study-specific questionnaire at the conclusion of the diagnostic work-up, rating (a) their engagement in the care received at the Diagnostic Center on a 5-point scale where 1 indicates little engagement and 5 indicates great engagement, and (b) their preference for more or less engagement, on a 5-point scale where 1 indicates a desire for much less engagement and 5 for much more engagement. Higher scores indicate greater perceived engagement and empowerment. Scores are compared between the intervention and reference arms.
Time frame: Upon conclusion of the diagnostic work-up (up to 12 weeks after enrollment)
Time from enrollment to concluded diagnosis
Time from enrollment to the concluded diagnosis determined within care as usual, extracted from medical records, compared between the intervention arm, the reference arm, and the retrospective cohort.
Time frame: From enrollment to concluded diagnosis (up to 12 weeks after enrollment)
Accuracy of an artificial intelligence or machine learning model in classifying underlying disease severity
An artificial intelligence or machine learning model will be trained on collected data (medical history, biomarker panel results, and self-reported physical and mental health) to classify study subjects as having (1) serious disease warranting referral to the Diagnostic Center, or (2) mild disease not warranting referral. Performance is reported as Area Under the Curve (AUC) of a Receiver-Operator Characteristics (ROC) graph.
Time frame: Through study completion, assessed once after all participants have completed the diagnostic work-up.
Incidence and severity of adverse events associated with data collection and use of the smartphone application
Incidence and severity of adverse events associated with data collection and use of the application, including determination of causality. Severity is graded on a 5-point scale ranging from mild (asymptomatic or mild symptoms; clinical or diagnostic observations only; intervention not indicated) to death related to the adverse event. Per the protocol, adverse events attributable to this study are anticipated to be mainly limited to privacy infringement, as all medical procedures are conducted as part of care as usual. Incidence and severity of adverse events will be reported in a table.
Time frame: From enrollment to completion of the diagnostic work-up (up to 12 weeks after enrollment)
Plan to share: No — Individual participant data will not be made available to researchers outside the primary research group. The study cohort comprises a limited number of patients (at most 600 prospectively included subjects plus a retrospective cohort) investigated at a single diagnostic center in Sweden, for conditions including rare and severe diagnoses such as cancer of unknown primary. In a dataset of this size, the combination of diagnosis codes, biomarker values, demographic variables, and calendar time carries a substantial risk of re-identification of individual participants, which cannot be adequately mitigated through de-identification alone. Sharing is further constrained by obligations under the EU General Data Protection Regulation regarding personal data originating from Swedish health records, and by agreements with the commercial developer of the study application. Aggregated results will be made available through publication.
No publications or documents are linked to this record.
Start is estimated for Dec 2026; primary completion for Nov 2029, 35 months later.
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From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗
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