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Dive into the research topics where Maria Faurholt-Jepsen is active.

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Featured researches published by Maria Faurholt-Jepsen.


human factors in computing systems | 2013

Designing mobile health technology for bipolar disorder: a field trial of the monarca system

Jakob E. Bardram; Mads Frost; Károly Szántó; Maria Faurholt-Jepsen; Maj Vinberg; Lars Vedel Kessing

An increasing number of pervasive healthcare systems are being designed, that allow people to monitor and get feedback on their health and wellness. To address the challenges of self-management of mental illnesses, we have developed the MONARCA system - a personal monitoring system for bipolar patients. We conducted a 14 week field trial in which 12 patients used the system, and we report findings focusing on their experiences. The results were positive; compared to using paper-based forms, the adherence to self-assessment improved; the system was considered very easy to use; and the perceived usefulness of the system was high. Based on this study, the paper discusses three HCI questions related to the design of personal health technologies; how to design for disease awareness and self-treatment, how to ensure adherence to personal health technologies, and the roles of different types of technology platforms.


PLOS ONE | 2011

Diabetes Is a Risk Factor for Pulmonary Tuberculosis: A Case-Control Study from Mwanza, Tanzania

Daniel Faurholt-Jepsen; Nyagosya Range; George PrayGod; Kidola Jeremiah; Maria Faurholt-Jepsen; Martine G. Aabye; John Changalucha; Dirk L. Christensen; Christian B. Pipper; Henrik Krarup; Daniel R. Witte; Åse Bengård Andersen; Henrik Friis

Background Diabetes and TB are associated, and diabetes is increasingly common in low-income countries where tuberculosis (TB) is highly endemic. However, the role of diabetes for TB has not been assessed in populations where HIV is prevalent. Methods A case-control study was conducted in an urban population in Tanzania among culture-confirmed pulmonary TB patients and non-TB neighbourhood controls. Participants were tested for diabetes according to WHO guidelines and serum concentrations of acute phase reactants were measured. The association between diabetes and TB, and the role of HIV as an effect modifier, were examined using logistic regression. Since blood glucose levels increase during the acute phase response, we adjusted for elevated serum acute phase reactants. Results Among 803 cases and 350 controls the mean (SD) age was 34.8 (11.9) and 33.8 (12.0) years, and the prevalence of diabetes was 16.7% (95% CI: 14.2; 19.4) and 9.4% (6.6; 13.0), respectively. Diabetes was associated with TB (OR 2.2, 95% CI: 1.5; 3.4, p<0.001). However, the association depended on HIV status (interaction, p = 0.01) due to a stronger association among HIV uninfected (OR 4.2, 95% CI: 1.5; 11.6, p = 0.01) compared to HIV infected (OR 0.1, 95% CI: 0.01; 1.8, p = 0.13) after adjusting for age, sex, demographic factors and elevated serum acute phase reactants. Conclusion Diabetes is a risk factor for TB in HIV uninfected, whereas the association in HIV infected patients needs further study. The increasing diabetes prevalence may be a threat to TB control.


BMJ Open | 2013

Daily electronic self-monitoring of subjective and objective symptoms in bipolar disorder--the MONARCA trial protocol (MONitoring, treAtment and pRediCtion of bipolAr disorder episodes): a randomised controlled single-blind trial.

Maria Faurholt-Jepsen; Maj Vinberg; Ellen Margrethe Christensen; Mads Frost; Jakob E. Bardram; Lars Vedel Kessing

Introduction Electronic self-monitoring of affective symptoms using cell phones is suggested as a practical and inexpensive way to monitor illness activity and identify early signs of affective symptoms. It has never been tested in a randomised clinical trial whether electronic self-monitoring improves outcomes in bipolar disorder. We are conducting a trial testing the effect of using a Smartphone for self-monitoring in bipolar disorder. Methods We developed the MONARCA application for Android-based Smartphones, allowing patients suffering from bipolar disorder to do daily self-monitoring—including an interactive feedback loop between patients and clinicians through a web-based interface. The effect of the application was tested in a parallel-group, single-blind randomised controlled trial so far including 78 patients suffering from bipolar disorder in the age group 18–60 years who were given the use of a Smartphone with the MONARCA application (intervention group) or to the use of a cell phone without the application (placebo group) during a 6-month study period. The study was carried out from September 2011. The outcomes were changes in affective symptoms (primary), social functioning, perceived stress, self-rated depressive and manic symptoms, quality of life, adherence to medication, stress and cognitive functioning (secondary and tertiary). Analysis Recruitment is ongoing. Ethics Ethical permission has been obtained. Dissemination Positive, neutral and negative findings of the study will be published. Registration details The trial is approved by the Regional Ethics Committee in The Capital Region of Denmark (H-2-2011-056) and The Danish Data Protection Agency (2013-41-1710). The trial is registered at ClinicalTrials.gov as NCT01446406.


European Respiratory Journal | 2010

Potential of interferon-γ-inducible protein 10 in improving tuberculosis diagnosis in HIV-infected patients

Martine Grosos Aabye; Morten Ruhwald; George PrayGod; Kidola Jeremiah; Maria Faurholt-Jepsen; Daniel Faurholt-Jepsen; Nyagosya Range; Henrik Friis; John Changalucha; Aase Bengaard Andersen; Pernille Ravn

To the Editors: In patients latently infected with Mycobacterium tuberculosis , immunosuppression significantly augments the risk of progression to active tuberculosis (TB) and TB is still one of the most frequent opportunistic infections worldwide. Prevention of TB in HIV-positive patients using the tuberculin skin testing (TST) followed by targeted preventive treatment is an effective strategy, but has thus far shown limited clinical success, in part due to the lack of a reliable test for latent TB infection (LTBI) 1. Interferon (IFN)-γ release assays (IGRAs) have shown great potential in the improvement of LTBI diagnosis, but the tests perform suboptimally in immunocompromised populations. We and others have previously shown that HIV-positive patients have high rates of indeterminate QuantiFERON®-TB Gold In-Tube test (QFT-IT) results and that this, at least in part, is due to low CD4 T-cell count 2–4. We and others have also shown that IFN-γ-inducible protein 10 (IP-10/CXCL-10) is an alternative biomarker may improve immunodiagnosis of M. tuberculosis infection. IP-10 is induced specifically and in large quantities upon in vitro stimulation of whole blood with M. tuberculosis -specific antigens. We have developed an IP-10 based test 5 and shown that the IP-10 test performs comparably to the QFT-IT in adult patients with intact immune function 6. We compared the sensitivity of an IP-10 based test with the QFT-IT for diagnosing M. tuberculosis infection in HIV-negative and HIV-positive patients with culture-confirmed active pulmonary tuberculosis (PTB). 300 patients newly diagnosed with PTB were recruited prospectively through the National Tuberculosis and Leprosy Programme (Mwanza, Tanzania). Blood was drawn for IGRA and HIV testing, and CD4 cell counts. Sputum was collected for microscopy and M. tuberculosis culture. Patients >15 yrs of age with a positive sputum culture result were enrolled. All HIV-positive patients were newly diagnosed in the study …


ubiquitous computing | 2013

Supporting disease insight through data analysis: refinements of the monarca self-assessment system

Mads Frost; Afsaneh Doryab; Maria Faurholt-Jepsen; Lars Vedel Kessing; Jakob E. Bardram

There is a growing interest in personal health technologies that sample behavioral data from a patient and visualize this data back to the patient for increased health awareness. However, a core challenge for patients is often to understand the connection between specific behaviors and health, i.e. to go beyond health awareness to disease insight. This paper presents MONARCA 2.0, which records subjective and objective data from patients suffering from bipolar disorder, processes this, and informs both the patient and clinicians on the importance of the different data items according to the patients mood. The goal is to provide patients with a increased insight into the parameters influencing the nature of their disease. The paper describes the user-centered design and the technical implementation of the system, as well as findings from an initial field deployment.


Bipolar Disorders | 2015

Smartphone Data as an Electronic Biomarker of Illness Activity in Bipolar Disorder

Maria Faurholt-Jepsen; Maj Vinberg; Mads Frost; Ellen Margrethe Christensen; Jakob E. Bardram; Lars Vedel Kessing

Objective methods are lacking for continuous monitoring of illness activity in bipolar disorder. Smartphones offer unique opportunities for continuous monitoring and automatic collection of real‐time data. The objectives of the paper were to test the hypotheses that (i) daily electronic self‐monitored data and (ii) automatically generated objective data collected using smartphones correlate with clinical ratings of depressive and manic symptoms in patients with bipolar disorder.


Tropical Medicine & International Health | 2013

Diabetes is a strong predictor of mortality during tuberculosis treatment: a prospective cohort study among tuberculosis patients from Mwanza, Tanzania

Daniel Faurholt-Jepsen; Nyagosya Range; George PrayGod; Kidola Jeremiah; Maria Faurholt-Jepsen; Martine G. Aabye; John Changalucha; Dirk L. Christensen; Harleen M. S. Grewal; Torben Martinussen; Henrik Krarup; Daniel R. Witte; Aase Bengaard Andersen; Henrik Friis

Strong evidence suggests diabetes may be associated with tuberculosis (TB) and could influence TB treatment outcomes. We assessed the role of diabetes on sputum culture conversion and mortality among patients undergoing TB treatment.


Journal of Affective Disorders | 2012

Differences in psychomotor activity in patients suffering from unipolar and bipolar affective disorder in the remitted or mild/moderate depressive state.

Maria Faurholt-Jepsen; Soren Brage; Maj Vinberg; Ellen Margrethe Christensen; Ulla Knorr; Hans Mørch Jensen; Lars Vedel Kessing

BACKGROUND Abnormalities in psychomotor activity are a central and essential feature of affective disorder. Studies measuring differences in psychomotor activity between unipolar and bipolar disorder show divergent results and none have used a combined heart rate and movement monitor for measuring activity during free-living conditions. OBJECTIVE To compare objectively measured psychomotor activity in patients with unipolar and bipolar disorder in a remitted or mild/moderate depressive state. Further, both groups were compared to a healthy control group. METHODS A cross-sectional study of outpatients suffering from unipolar (n=20) and bipolar (n=18) disorder and healthy controls (n=31), aged 18-60 years. For three consecutive days a combined acceleration (m/s(2)) and heart rate (beats per minute) monitoring was used in conjunction with a step test to estimate activity energy expenditure (J/min/kg) as measures of psychomotor activity and physical fitness. RESULTS Overall score on Hamilton-17 items ranged between 0 and 22. Patients had higher sleeping heart rate (p<0.001), lower fitness (p=0.02), lower acceleration (p=0.004), and lower activity energy expenditure (p=0.004) compared to controls. Comparing unipolar and bipolar patients and adjusting for differences in Hamilton-17 revealed lower acceleration (p=0.01) and activity energy expenditure in bipolar patients (p=0.02); the difference was most prominent in the morning. CONCLUSIONS Electronic monitoring of psychomotor activity may be a promising additional tool in the distinction between unipolar and bipolar affective disorder when patients present in a remitted or depressive state.


Psychological Medicine | 2015

Daily electronic self-monitoring in bipolar disorder using smartphones - the MONARCA I trial: a randomized, placebo-controlled, single-blind, parallel group trial.

Maria Faurholt-Jepsen; Mads Frost; Christian Ritz; Ellen Margrethe Christensen; Anne Sophie Jacoby; Rie Lambæk Mikkelsen; Ulla Knorr; Jakob E. Bardram; Maj Vinberg; Lars Vedel Kessing

BACKGROUND The number of studies on electronic self-monitoring in affective disorder and other psychiatric disorders is increasing and indicates high patient acceptance and adherence. Nevertheless, the effect of electronic self-monitoring in patients with bipolar disorder has never been investigated in a randomized controlled trial (RCT). The objective of this trial was to investigate in a RCT whether the use of daily electronic self-monitoring using smartphones reduces depressive and manic symptoms in patients with bipolar disorder. METHOD A total of 78 patients with bipolar disorder according to ICD-10 criteria, aged 18-60 years, and with 17-item Hamilton Depression Rating Scale (HAMD-17) and Young Mania Rating Scale (YMRS) scores ≤17 were randomized to the use of a smartphone for daily self-monitoring including a clinical feedback loop (the intervention group) or to the use of a smartphone for normal communicative purposes (the control group) for 6 months. The primary outcomes were differences in depressive and manic symptoms measured using HAMD-17 and YMRS, respectively, between the intervention and control groups. RESULTS Intention-to-treat analyses using linear mixed models showed no significant effects of daily self-monitoring using smartphones on depressive as well as manic symptoms. There was a tendency towards more sustained depressive symptoms in the intervention group (B = 2.02, 95% confidence interval -0.13 to 4.17, p = 0.066). Sub-group analysis among patients without mixed symptoms and patients with presence of depressive and manic symptoms showed significantly more depressive symptoms and fewer manic symptoms during the trial period in the intervention group. CONCLUSIONS These results highlight that electronic self-monitoring, although intuitive and appealing, needs critical consideration and further clarification before it is implemented as a clinical tool.


Transactions of The Royal Society of Tropical Medicine and Hygiene | 2011

Weight, body composition and handgrip strength among pulmonary tuberculosis patients: a matched cross-sectional study in Mwanza, Tanzania.

George PrayGod; Nyagosya Range; Daniel Faurholt-Jepsen; Kidola Jeremiah; Maria Faurholt-Jepsen; Martine G. Aabye; Lotte Jensen; Andreas Vestergaard Jensen; Harleen M. S. Grewal; Pascal Magnussen; John Changalucha; Aase Bengaard Andersen; Henrik Friis

This study aimed to estimate deficits in weight, arm fat area (AFA), arm muscle area (AMA) and handgrip strength among smear-positive pulmonary TB (PTB+) patients starting treatment. We conducted a cross-sectional study among PTB+ patients and age- and sex-matched neighborhood controls. HIV status, anthropometric measurements and handgrip strength were determined. Deficits in weight, AFA, AMA and handgrip strength associated with PTB+ and HIV were estimated using multiple regression analysis. We recruited 355 pairs of PTB+ patients and controls. PTB+ was associated with deficits of 10.0kg (95% CI 7.3; 12.7) in weight and 6.8kg (95% CI 5.2; 8.3) in handgrip strength among females and 9.1kg (95% CI 7.3; 10.9) in weight and 6.8kg (95% CI 5.2; 8.4) in handgrip strength among males. In both sexes, PTB+ was associated with deficits in AFA and AMA. Among females, HIV was associated with deficits in AMA and handgrip strength, but the deficit in handgrip strength was larger among PTB+ patients (3.2kg 95% CI 1.3; 5.2) than controls (-1.6kg 95% CI -4.8; 1.5) (interaction, P=0.009). These findings suggest that deficits in weight and handgrip strength among patients starting TB treatment are severe. Thus, nutritional support may be necessary to ensure reversal of the deficits, and may improve treatment outcomes.

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Lars Vedel Kessing

Copenhagen University Hospital

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Henrik Friis

University of Copenhagen

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Jakob E. Bardram

Technical University of Denmark

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Mads Frost

IT University of Copenhagen

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Maj Vinberg

University of Copenhagen

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