Digital Care Chains in Health Care - a Study of Care Consumption, Care Quality, Work Environment and Well-being
- Conditions
- DepressionDepression, BipolarDepressive Disorder, MajorDepression RecurrentDepressive Disorder
- Interventions
- Other: Digital healthcare platform
- Registration Number
- NCT05211466
- Lead Sponsor
- Region Gävleborg
- Brief Summary
Digital healthcare has developed rapidly to meet demands for accessible healthcare, streamline care and meet future challenges with increasing healthcare needs and reduced labour force in Sweden. Developers and stakeholders in Sweden want to exchange the praxis of phone triage to digital or semi-digital triaging tools, to relieve staff's workload and utilize better resource use that would benefit all patient groups. However, previous studies have showed demographic differences in utilization rate and an increase of simpler care matters when digital healthcare options are offered. Also, little is known of medical accuracy of digital triage tools and of the work environment in digital healthcare. More research is needed on this, as well as on care consumption, care quality and of patients' experiences of digital healthcare. The overall aim of the research project is to study a new digital healthcare platform being introduced in 2021/2022 in the County of Gävleborg, Sweden. The studies will focus on care consumption, healthcare outcomes, care quality and patient safety as well as explore the digital work environment in the digital healthcare platform. Data will be collected before and after the introduction of the digital healthcare platform, using register data and questionnaires. The data from the two time periods will be analyzed with descriptive and inference statistics, to explore if the digital healthcare platform has brought differences on group levels in care consumption, healthcare outcomes, care quality and patient safety as well as in work environment aspects such as the staffs' well-being.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 1200
Not provided
Not provided
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description Depressive disorder, bipolar Digital healthcare platform Patients with bipolar depression admitted into round-the-clock care, before and after the introduction of a digital healthcare platform. Depressive disorder, recurring Digital healthcare platform Patients with recurring depression admitted into round-the-clock care, before and after the introduction of a digital healthcare platform. Depressive disorder, major Digital healthcare platform Patients with major depression admitted into round-the-clock care, before and after the introduction of a digital healthcare platform. Digital care staff Digital healthcare platform Staff working most of their time (20% or more) with the digital healthcare platform.
- Primary Outcome Measures
Name Time Method Staff-reported well-being in digital healthcare compared to traditional healthcare work. Measures will be made approximately in December 2023. Questions on well-being will be asked through a survey. The survey contains questions from the following questionnaires: Safety, Communication, Operational Reliability, and Engagement (SCORE) Copenhagen Psychosocial Questionnaire (COPSOQ) Surveys on Patient Safety Culture™ Hospital Survey (SOPS®) and Staff Satisfaction with Care (SSC).
Comparisons will be made between time and groups. SCORE: Values between 1-5. Higher scores mean a better outcome in factors on patient safety, working climate and personal growth, with some items reversed. Higher scores mean a worse outcome in factors on workload, burnout and stress.
COPSOQ: Values between 1-5. Higher scores mean a better outcome in factors on stress and emotional demands, but a worse outcome in factors on workplace community and involvement, with one item reversed.
SOPS Hospital Survey: Values between 1-5. Higher scores mean a worse outcome. SSC: Values between 1-7. Higher scores mean a better outcome.Healthcare search patterns for depressed patients before the digital healthcare platform has been introduced. January 2019 - December 2019 Search patterns will be examined through reviews of computerized medical records (CMR) from inpatients who have received care for severe depression during a given time period before the introduction of the digital healthcare platform (DHP).Three subgroups will be studied: recurring, bipolar, and major depression. CMR will be examined retroactively for a six-month period prior to admission to inpatient care. Approximately 250 individuals' CMR will be examined and categorized in groups based on type of depression, gender, age and municipality and if possible; civil and employment status and birth country. Analysis will be made of how, when and why the patient contacted healthcare. Data will be analyzed in whole groups as well as differences between depression subgroups and demographic groups over time, and interaction time and group. Based on several secondary outcome measures, descriptive and inference statistics will be studied using statistics such as ANCOVA.
Outcome of healthcare contacts for depressed patients before the digital healthcare platform has been introduced. January 2019 - December 2019 Outcomes will be examined by reviewing CMR from inpatients who have received care for severe depression before the introduction of the DHP. Three subgroups will be studied: recurring, bipolar, and major depression.The subgroups have different acuity and outcomes should differ. CMR will be examined retroactively for a six-month period prior to inpatient admission.The CMR will be categorized into groups based on type of depression and demographic factors. Analysis will be made of several outcomes, such as triage outcome, diagnostic screenings and time to treatment. After 2 years, measurement will be made of time to follow-up in outpatient care, readmissions within a month, and possible suicides. Data will be analyzed in whole groups as well as differences between depression subgroups and demographic groups over time, and interaction time and group. Descriptive and inference statistics will be studied using statistics such as ANCOVA.
Outcome of healthcare contacts for depressed patients after the digital healthcare platform has been introduced. September 2022 - August 2023 Outcomes will be examined by reviewing CMR from inpatients who have received care for severe depression after the introduction of the DHP. The same subgroups will be studied as in description for Outcome 2. CMR will be examined retroactively for a six-month period prior to inpatient admission using the same categorizations as in Outcome 2, but this time the DHP will be an additional option for patients to contact healthcare. After 2 years, measurements will be made of time to follow-up in outpatient care, readmissions within a month, and possible suicides. Data will be analyzed in whole groups as well as differences between depression subgroups and demographic groups over time, and interaction time and group. Descriptive and inference statistics will be studied using statistics such as ANCOVA. Additional analysis will be made of the quantity of these diagnoses in outpatient and inpatient care in each measurement period, compared to each other and to the population.
Healthcare search patterns for depressed patients after the digital healthcare platform has been introduced. September 2022 - August 2023 Search patterns will be examined through reviews of CMR from inpatients who have received care for severe depression during a given time period after the introduction of the DHP. Three subgroups will be studied: recurring, bipolar, and major depression. CMR will be examined retroactively for a six-month period prior to admission to inpatient care. Approximately 250 patients' CMR will be examined. The same categorizations and analysis will be made as in Outcome 1, but in this measurement period, the DHP will be an additional option for the patients to contact healthcare. Data will be analyzed in whole groups as well as differences between depression subgroups and demographic groups over time, and interaction time and group. Based on several secondary outcome measures, descriptive and inference statistics will be studied using statistics such as ANCOVA.
Staff-reported work environment in digital healthcare compared to traditional healthcare work. Measures will be made approximately in December 2023. Questions on work environment will be asked through a survey. The survey contains questions from the following questionnaires: Safety, Communication, Operational Reliability, and Engagement (SCORE) Copenhagen Psychosocial Questionnaire (COPSOQ) Surveys on Patient Safety Culture™ Hospital Survey (SOPS®) and Staff Satisfaction with Care (SSC). Comparisons will be made between time and groups.
SCORE: Values between 1-5. Higher scores mean a better outcome in factors on patient safety, working climate and personal growth with some items reversed. Higher scores mean a worse outcome in factors on workload, burnout and stress.
COPSOQ: Values between 1-5. Higher scores mean a better outcome in factors on stress and emotional demands, but a worse outcome in factors on workplace community and involvement with one item reversed.
SOPS Hospital Survey: Values between 1-5. Higher scores mean a worse outcome. SSC: Values between 1-7. Higher scores mean a better outcome.Staff-reported quality of care given through a digital platform compared to traditional healthcare. Baseline measure during January - April 2022. Questions on quality of care will be asked through a survey. The survey contains questions from the following questionnaires: Safety, Communication, Operational Reliability, and Engagement (SCORE) Copenhagen Psychosocial Questionnaire (COPSOQ) Surveys on Patient Safety Culture™ Hospital Survey (SOPS®) and Staff Satisfaction with Care (SSC).
SCORE: Values between 1-5. Higher scores mean a better outcome in factors on patient safety, working climate and personal growth, with some items reversed. Higher scores mean a worse outcome in factors on workload, burnout and stress.
COPSOQ: Values between 1-5. Higher scores mean a better outcome in factors on stress and emotional demands, but a worse outcome in factors on workplace community and involvement, with one item reversed.
SOPS Hospital Survey: Values between 1-5. Higher scores mean a worse outcome. SSC: Values between 1-7. Higher scores mean a better outcome.Staff-reported quality of care given through a digital platform compared to traditional health care. Measures will be made approximately in December 2023. Questions on quality of care will be asked through a survey. The survey contains questions from the following questionnaires: Safety, Communication, Operational Reliability, and Engagement (SCORE) Copenhagen Psychosocial Questionnaire (COPSOQ) Surveys on Patient Safety Culture™ Hospital Survey (SOPS®) and Staff Satisfaction with Care (SSC).
Comparisons will be made between time and groups. SCORE: Values between 1-5. Higher scores mean a better outcome in factors on patient safety, working climate and personal growth, with some items reversed. Higher scores mean a worse outcome in factors on workload, burnout and stress.
COPSOQ: Values between 1-5. Higher scores mean a better outcome in factors on stress and emotional demands, but a worse outcome in factors on workplace community and involvement, with one item reversed.
SOPS Hospital Survey: Values between 1-5. Higher scores mean a worse outcome. SSC: Values between 1-7. Higher scores mean a better outcome.
- Secondary Outcome Measures
Name Time Method Somatic healthcare search patterns for depressed patients before the digital healthcare platform has been introduced. January 2019 - December 2019 Patients with depression often contact healthcare months before the actual depression is being discovered, for physical ailments or sleep disorders. Through reviews of computerized medical records (CMR) from inpatients who have received care for severe depression during a given time period before the introduction of the digital healthcare platform (DHP) search patterns will be analyzed and categorized according to what somatic ailment the patient contacted healthcare for. CMR will be analyzed in a six months time period before admission to inpatient care. Data will be analyzed in whole groups as well as differences between depression subgroups and demographic groups over time, and interaction time and group. Based on several secondary outcome measures, descriptive and inference statistics will be studied using statistics such as ANCOVA.
Somatic healthcare search patterns for depressed patients after the digital healthcare platform has been introduced. September 2022 - August 2023 Patients with depression often contact healthcare months before the actual depression is being discovered, for physical ailments or sleep disorders. Through reviews of computerized medical records (CMR) from inpatients who have received care for severe depression during a given time period after the introduction of the digital healthcare platform (DHP) search patterns will be analyzed and categorized according to what somatic ailment the patient contacted healthcare for. CMR will be analyzed in a six months time period before admission to inpatient care. Data will be analyzed in whole groups as well as differences between depression subgroups and demographic groups over time, and interaction time and group. Based on several secondary outcome measures, descriptive and inference statistics will be studied using statistics such as ANCOVA.
Suicide attempts before admission to inpatient care, before the introduction of the digital healthcare platform. January 2019 - December 2019 Through reviews of computerized medical records (CMR) from inpatients who have received care for severe depression during a given time period before the introduction of the digital healthcare platform (DHP) the number of suicide attempts before admission to inpatient care, will be counted and analyzed. CMR will be analyzed in a six months time period before admission to inpatient care. Data will be analyzed in whole groups as well as differences between depression subgroups and demographic groups over time, and interaction time and group. Based on several secondary outcome measures, descriptive and inference statistics will be studied using statistics such as ANCOVA.
Suicide attempts before admission to inpatient care, after the introduction of the digital healthcare platform. September 2022 - August 2023 Through reviews of computerized medical records (CMR) from inpatients who have received care for severe depression during a given time period after the introduction of the digital healthcare platform (DHP) the number of suicide attempts before admission to inpatient care, will be counted and analyzed. CMR will be analyzed in a six months time period before admission to inpatient care. Data will be analyzed in whole groups as well as differences between depression subgroups and demographic groups over time, and interaction time and group. Based on several secondary outcome measures, descriptive and inference statistics will be studied using statistics such as ANCOVA.
Type of admission to inpatient care, after the introduction of the digital healthcare platform. January 2019 - December 2019 Admission to inpatient care can be made voluntarily or involuntarily. Through reviews of computerized medical records (CMR) from inpatients who have received care for severe depression during a given time period before the introduction of the digital healthcare platform (DHP) the number of patients receiving care voluntarily and involuntarily, will be counted respectively and analyzed. Data will be analyzed in whole groups as well as differences between depression subgroups and demographic groups over time, and interaction time and group. Based on several secondary outcome measures, descriptive and inference statistics will be studied using statistics such as ANCOVA.
Type of admission to inpatient care, before the introduction of the digital healthcare platform. September 2022 - August 2023 Admission to inpatient care can be made voluntarily or involuntarily. Through reviews of computerized medical records (CMR) from inpatients who have received care for severe depression during a given time period after the introduction of the digital healthcare platform (DHP) the number of patients receiving care voluntarily and involuntarily, will be counted respectively and analyzed. Data will be analyzed in whole groups as well as differences between depression subgroups and demographic groups over time, and interaction time and group. Based on several secondary outcome measures, descriptive and inference statistics will be studied using statistics such as ANCOVA.
Trial Locations
- Locations (1)
County of Gavleborg
🇸🇪Gävle, Gävleborg, Sweden