PRimary carE digital Support ToOl in mental health (PRESTO): Design, development and study protocols

BACKGROUND

About 30-50% of Primary Care (PC) users in Spain suffer mental health problems, mostly mild to moderate anxious and depressive symptoms, which account for 2% of Spain's total Gross domestic product and 50% of the costs associated to all mental disorders. Mobile health tools have demonstrated to cost-effectively reduce anxious and depressive symptoms while machine learning (ML) techniques have shown to accurately detect severe cases. The main aim of this project is to develop a comprehensive ML digital support platform (PRESTO) to cost-effectively screen, assess, triage, and provide personalized treatments for anxious and depressive symptoms in PC.

METHODS

The project will be carried out in 3 complementary phases: First, a ML predictive severity model will be built based on all the cases referred to the PC mental health support programme during the last 5 years in Catalonia. Simultaneously, a smartphone app to monitor and deliver psychological interventions for anxiety and depressive symptoms will be developed and tested in a clinical trial. Finally, the ML models and the app will be integrated in a comprehensive decision-support platform (PRESTO) which will triage and assign to each patient a specific intervention based on individual personal and clinical characteristics. The effectiveness of PRESTO to reduce waiting times in receiving mental healthcare will be tested in a stepped-wedge cluster randomized controlled trial in 5 PC centres.

DISCUSSION

PRESTO will offer timely and personalized cost-effective mental health treatment to people with mild to moderate anxious and depressive symptoms. This will result in a reduction of the burden of mental health problems in PC and on society as a whole.

TRIAL REGISTRATION

The project and their clinical trials were registered in Clinical Trials.gov: NCT04559360 (September 2020).

Vickybot, a chatbot for anxiety-depressive symptoms and work-related burnout in primary care and healthcare professionals: development, feasibility, and potential effectiveness studies

BACKGROUND

A significant proportion of people attending Primary Care (PC) have anxiety-depressive symptoms and work-related burnout compounded by a lack of resources to meet their needs. The COVID-19 pandemic has exacerbated this problem and digital tools have been proposed as a solution.

OBJECTIVE

We present the development, feasibility, and potential effectiveness studies of Vickybot, a chatbot aimed at screening, monitoring, and reducing anxiety-depressive symptoms and work-related burnout in PC patients and healthcare workers.

METHODS

User-centered development strategies were adopted. Main functions included self-assessments, psychological modules, and emergency alerts. Healthy controls (HCs) tested Vickybot for reliability. (1) Simulation: HCs used Vickybot for 2 weeks to simulate different clinical situations. (2) Feasibility and effectiveness study: People consulting PC or healthcare workers with mental health problems were offered to use Vickybot for one month. Self-assessments for anxiety (GAD-7) and depression (PHQ-9) symptoms, and work-related burnout (based on the Maslach Burnout Inventory) were administered at baseline and every two weeks. Feasibility was determined from both subjective and objective user-engagement Indicators (UEIs). Potential effectiveness was measured using paired t-tests or the Wilcoxon signed-rank test for the change in self-assessment scores.

RESULTS

40 HCs tested Vickybot simultaneously, and data was transmitted and registered reliably. (1) Simulation: 17 HCs (73% female; mean age=36.5±9.7) received 98.8% of the expected modules according to each simulation. Suicidal alerts were correctly received. (2) Feasibility and potential effectiveness study: 34 patients (15 from PC and 19 healthcare workers; 77% female; mean age=35.3±10.1) completed the first self-assessments, with 34 (100%) presenting anxiety symptoms, 32 (94%) depressive symptoms, and 22 (64.7%) work-related burnout. Nine (26.5%) patients completed the second self-assessments after two weeks of use. No significant differences were found between the scores of the first and second self-assessments for anxiety [t(8) = 1.000, P = .34] or depressive [t(8) = .40, P = .70] symptoms. However, work-related burnout scores were moderately reduced (Z = -2.07, P = 0.038, r = .32). There was a non-significant trend towards higher reduction in anxiety-depressive symptoms and work-related burnout with greater use of the chatbot. Three patients (8.8%) activated the suicide alert, and the research team intervened promptly with successful outcomes. Vickybot showed high subjective-UEIs, but low objective-UEIs (completion, adherence, compliance, and engagement). Feasibility was moderate.

CONCLUSIONS

The chatbot was useful in screening for the presence and severity of anxiety and depressive symptoms, and detecting suicidal risk. Potential effectiveness was shown in reducing work-related burnout, but not anxiety or depressive symptoms. Subjective perceptions of use contrasted with low objective-use metrics. Our results are promising but suggest the need to adapt and enhance the smartphone-based solution in order to improve engagement. Consensus on how to report UEIs and validate digital solutions, especially for chatbots, are required.

CLINICALTRIAL

Antidepressants overuse in primary care: Prescription trends between 2010 and 2019 in Catalonia

INTRODUCTION

There has been an increase in the prescription of antidepressants (AD) in primary care (PC). However, it is unclear whether this was explained by a rise in diagnoses with an indication for AD. We investigated the changes in frequency and the variables associated with AD prescription in Catalonia, Spain.

METHODS

We retrieved AD prescription, sociodemographic, and health-related data using individual electronic health records from a population-representative sample (N=947.698) attending PC between 2010 and 2019. Prescription of AD was calculated using DHD (Defined Daily Doses per 1000 inhabitants/day). We compared cumulative changes in DHD with cumulative changes in diagnoses with an indication for AD during the study period. We used Poisson regression to examine sociodemographic and health-related variables associated with AD prescription.

RESULTS

Both AD prescription and mental health diagnoses with an indication for AD gradually increased. At the end of the study period, DHD of AD prescriptions and mental health diagnoses with an indication for AD reached cumulative increases of 404% and 49% respectively. Female sex (incidence rate ratio (IRR)=2.83), older age (IRR=25.43), and lower socio-economic status (IRR=1.35) were significantly associated with increased risk of being prescribed an AD.

CONCLUSIONS

Our results from a large and representative cohort of patients confirm a steady increase of AD prescriptions that is not explained by a parallel increase in mental health diagnoses with an indication for AD. A trend on AD off-label and over-prescriptions in the PC system in Catalonia can be inferred from this dissociation.

Prognostic factors in Spanish COVID-19 patients: A case series from Barcelona

Background

In addition to the lack of COVID-19 diagnostic tests for the whole Spanish population, the current strategy is to identify the disease early to limit contagion in the community.

Aim

To determine clinical factors of a poor prognosis in patients with COVID-19 infection.

Design and setting

Descriptive, observational, retrospective study in three primary healthcare centres with an assigned population of 100,000.

Method

Examination of the medical records of patients with COVID-19 infections confirmed by polymerase chain reaction. Logistic multivariate regression models adjusted for age and sex were constructed to analyse independent predictive factors associated with death, ICU admission and hospitalization.

Results

We included 322 patients (mean age 56.7 years, 50% female, 115 (35.7%) aged ≥ 65 years): 123 (38.2) were health workers (doctors, nurses, auxiliaries). Predictors of ICU admission or death were greater age (OR = 1.05; 95%CI = 1.03 to 1.07), male sex (OR = 2.94; 95%CI = 1.55 to 5.82), autoimmune disease (OR = 2.82; 95%CI = 1.00 to 7.84), bilateral pulmonary infiltrates (OR = 2.86; 95%CI = 1.41 to 6.13), elevated lactate-dehydrogenase (OR = 2.85; 95%CI = 1.28 to 6.90), elevated D-dimer (OR = 2.85; 95%CI = 1.22 to 6.98) and elevated C-reactive protein (OR = 2.38; 95%CI = 1.22 to 4.68). Myalgia or arthralgia (OR = 0.31; 95%CI = 0.12 to 0.70) was protective factor against ICU admission and death. Predictors of hospitalization were chills (OR = 5.66; 95%CI = 1.68 to 23.49), fever (OR = 3.33; 95%CI = 1.89 to 5.96), dyspnoea (OR = 2.92; 95%CI = 1.62 to 5.42), depression (OR = 6.06; 95%CI = 1.54 to 40.42), lymphopenia (OR = 3.48; 95%CI = 1.67 to 7.40) and elevated C-reactive protein (OR = 3.27; 95%CI = 1.59 to 7.18). Anosmia (OR = 0.42; 95%CI = 0.19 to 0.90) was the only significant protective factor for hospitalization after adjusting for age and sex.

Conclusion

Determining the clinical, biological and radiological characteristics of patients with suspected COVID-19 infection will be key to early treatment and isolation and the tracing of contacts.

Personalised care, access, quality and team coordination are the main dimensions of family medicine output

BACKGROUND

Health organisations continually seek good output indicators of family medicine health care provision because they are accountable to society, they need to compare services, and need to evaluate the impact of organisational reforms.

OBJECTIVES

Using the sources of information routinely available in health-service management, we sought to assess the groups of components of primary health care output that best serve to define the outcome of family medicine services.

DESIGN

Cross-sectional descriptive study. SITE: Primary health care in Catalunya.

PARTICIPANTS

213 primary health care teams.

MEASUREMENTS

Information was collected on team structure, user satisfaction, quality-of-professional-life of the health care professionals, and physicians' drug prescription. Confirmatory Factor Analysis was used to assess the number of dimensions that best explained the family medicine outcome.

RESULTS

The model that best fits the structure of the data (AGFI=0.778) is that which consists of three dimensions i.e. (1) the individual accessibility to the services and professional-patient relationship; (2) the coordination within the health care team; (3) the scientific-technical quality of the service. The first two of these dimensions were correlated between themselves, but the third was totally independent of the other two.

CONCLUSIONS

Using sources of information that are routinely employed in primary health care services management, the model enables the measurement of the output of family medicine by considering the dimensions such as inter-personnel relationships, internal coordination of the team and the scientific-technical quality of the service. Despite its simplicity, this measure of the output incorporates the views not only of the users but of the health care professionals, as well.

Impact of economic incentives on quality of professional life and on end-user satisfaction in primary care

BACKGROUND

A new economic incentive scheme based on (i) quality of care objectives for physicians, and (ii) professional development for both physicians and nurses, was introduced in primary care teams.

OBJECTIVE

To assess weather the implementation of these economic incentive schemes has had an impact on the quality of professional life (QPL) of both physicians and nurses and on end-user satisfaction.

METHODS

Before-after study. Participants are 257 primary care teams in Catalonia, Spain, in the period 2002-2003. QPL and end-user satisfaction were used as outcome measures.

RESULTS

QPL was improved in terms of the dimension "perception of support from the management structure" among physicians (4.897 versus 5.220; p<0.001) as well as nurses (5.272 versus 5.638; p<0.001). Further, physicians perceived an increase in the dimension "demands made upon them" (6.124 versus 6.364; p<0.001), differently from the nurses group (5.8191 versus 5.929; p=0.063). Overall, user satisfaction did not vary significantly, although a positive relationship was found between "perception of support from the management structure" and user satisfaction among nurses (beta=0.078, p=0.007), and a negative relationship between "demands made upon them" and user satisfaction in the case of physicians (beta=-0.057, p=0.011).

CONCLUSIONS

Incentives related to quality of care annual targets may increase physicians' perception of burden and it may have a negative impact on consumer satisfaction. Incentives on long-term professional development seem to be related to an increase in professionals' perception of support from the management structure. Among nurses, this increase is related to an improvement of user satisfaction.

Family medicine attributes related to satisfaction, health and costs

OBJECTIVE

To identify, from a systematic review of the literature, the attributes of Family Medicine (FM) that influence the primary health care outcome as measured by users' satisfaction, improvement in patient health and in costs.

DATA SOURCES

Literature search of Medline and the Cochrane library using MeSH terms 'Primary Health' or 'Family Practice' or 'Family Physicians' and 'Outcome Assessment' or 'Process Assessment'. Papers were excluded if they lacked a based on primary data, if no single component of FM was assessed; if indicators of evaluation were not related to health, satisfaction or costs.

RESULTS

A total of 356 articles were initially identified and 19 finally met the inclusion criteria. Study methods were a systematic review of randomized control trials, a double-blind randomized trial, 4 systematic reviews of observational studies, 2 cohort studies and 12 descriptive cross-sectional studies.

CONCLUSIONS

There was evidence of relationships between the attributes of FM and the service outcomes measured by indicators of satisfaction, health and cost. User satisfaction was associated with accessibility, continuity of care, consultation time and the doctor-patient relationship. Improvement in patient's health was related to continuity, consultation time, doctor-patient relationship and the implementation of preventive activities. Coordination of care showed mixed results with health outcomes. Continuity, consultation time, doctor-patient communication and prevention were cost-effective in the primary care setting.