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Hovaguimian F, Martin E, Reinacher M, Rasi M, Schmidt AJ, Bernasconi E, El Amari EB, Braun DL, Calmy A, Darling K, Christinet V, Depmeier C, Hauser C, Läuchli S, Notter J, Stoeckle M, Surial B, Vernazza P, Bruggmann P, Tarr P, Haerry D, Bize R, Low N, Lehner A, Böni J, Kouyos RD, Fehr JS, Hampel B. Participation, retention and uptake in a multicentre pre-exposure prophylaxis cohort using online, smartphone-compatible data collection. HIV Med 2021; 23:146-158. [PMID: 34605153 PMCID: PMC9292805 DOI: 10.1111/hiv.13175] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 08/24/2021] [Accepted: 09/07/2021] [Indexed: 11/28/2022]
Abstract
Objectives The aim of the study was to assess the feasibility of a national pre‐exposure prophylaxis (PrEP) programme using smartphone‐compatible data collection. Methods This was a multicentre cohort study (NCT03893188) enrolling individuals interested in PrEP in Switzerland. All centres participate in the SwissPrEPared programme, which uses smartphone‐compatible data collection. Feasibility was assessed after centres had enrolled at least one participant. Participants were HIV‐negative individuals presenting for PrEP counselling. Outcomes were participation (number enrolled/number eligible), enrolment rates (number enrolled per month), retention at first follow‐up (number with first follow‐up/number enrolled), and uptake (proportion attending first visit as scheduled). Participant characteristics were compared between those retained after baseline assessment and those who dropped out. Results Between April 2019 and January 2020, 987 individuals were assessed for eligibility, of whom 969 were enrolled (participation: 98.2%). The median enrolment rate was 86 per month [interquartile range (IQR) 52–137]. Retention at first follow‐up and uptake were both 80.7% (782/969 and 532/659, respectively). At enrolment, the median age was 40 (IQR 33–47) years, 95% were men who have sex with men, 47% had a university degree, and 75.5% were already taking PrEP. Most reported multiple casual partners (89.2%), previous sexually transmitted infections (74%) and sexualized drug use (73.1%). At baseline, 25.5% tested positive for either syphilis, gonorrhoea or chlamydia. Participants who dropped out were at lower risk of HIV infection than those retained after baseline assessment. Conclusions In a national PrEP programme using smartphone‐compatible data collection, participation, retention and uptake were high. Participants retained after baseline assessment were at considerable risk of HIV infection. Younger, less educated individuals were underrepresented in the SwissPrEPared cohort.
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Affiliation(s)
- F Hovaguimian
- Department of Public and Global Health, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.,Division of Infectious Diseases and Hospital Epidemiology, University Hospital of Zurich, Zurich, Switzerland
| | - E Martin
- Department of Public and Global Health, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - M Reinacher
- Department of Public and Global Health, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - M Rasi
- Department of Public and Global Health, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - A J Schmidt
- Division of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital St. Gallen, St. Gallen, Switzerland.,Sigma Research, London School of Hygiene and Tropical Medicine, London, UK
| | - E Bernasconi
- Division of Infectious Diseases, Regional Hospital Lugano, Lugano, Switzerland
| | - E B El Amari
- Infectious Diseases and Internal Medicine Private Practice, Geneva, Switzerland
| | - D L Braun
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital of Zurich, Zurich, Switzerland
| | - A Calmy
- Laboratory of Virology and Division of Infectious Diseases, Geneva University Hospital, Geneva, Switzerland
| | - K Darling
- Infectious Diseases Service, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | | | - C Depmeier
- Private practice Kalkbreite, Zurich, Switzerland
| | - C Hauser
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - S Läuchli
- Dermatologic Centre Zurich, Zurich, Switzerland
| | - J Notter
- Division of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - M Stoeckle
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - B Surial
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - P Vernazza
- Division of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - P Bruggmann
- Arud Centre for Addiction Medicine, Zurich, Switzerland
| | - P Tarr
- Kantonsspital Baselland, University of Basel, Basel, Switzerland
| | - D Haerry
- Positive Council, Zurich, Switzerland
| | - R Bize
- Department of Epidemiology and Health Systems, Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - N Low
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - A Lehner
- Swiss AIDS Federation, Zurich, Switzerland
| | - J Böni
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - R D Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - J S Fehr
- Department of Public and Global Health, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.,Division of Infectious Diseases and Hospital Epidemiology, University Hospital of Zurich, Zurich, Switzerland
| | - B Hampel
- Department of Public and Global Health, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.,Division of Infectious Diseases and Hospital Epidemiology, University Hospital of Zurich, Zurich, Switzerland.,Checkpoint Zurich, Zurich, Switzerland
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Birklein F, Depmeier C, Rolke R, Hansen C, Rautenstrauss B, Prawitt D, Magerl W. A family-based investigation of cold pain tolerance. Pain 2008; 138:111-118. [PMID: 18194840 DOI: 10.1016/j.pain.2007.11.012] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2007] [Revised: 11/10/2007] [Accepted: 11/19/2007] [Indexed: 10/22/2022]
Abstract
In the present study the question was addressed whether sensitivity to experimental pain stimuli differs between families, which are previously characterized by the degree of cold tolerance (very insensitive or very sensitive) of one family member. A total of 232 healthy medical students were screened for cold pain tolerance employing a cold pressor test. Subsequently 50 of them were investigated in detail under laboratory conditions. The water temperature was 1 degrees C, the maximum time in water 3 min, cold pain was rated on a 101 step numerical rating scale every 10s. Two of the most cold pain sensitive (shortest time in ice water) and insensitive (lowest ratings) students were selected and as many as possible of their family members were recruited. In all of them cold pressor test, pinprick pain threshold, pressure pain threshold, skin temperature, hospital anxiety and depression scale and COMT val158met polymorphism (with the exception of three individuals) were assessed. Analysis (ANOVA) revealed that the cold pressor results of the students predicted the mean ratings (p<0.04) and the time in ice water (p<0.03) of their own families. Furthermore, pinprick pain threshold (p<0.002) and to a lesser extent pressure pain thresholds (p<0.03) were significantly related to cold pain tolerance. The other variables, including the COMT polymorphism, were not related to cold pain tolerance in our study. In conclusion our results suggest that cold pain tolerance may be at least partially inherited. Genetic or environmental factors might explain family clustering of cold pain sensitivity.
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Affiliation(s)
- F Birklein
- Department of Neurology, Johannes Gutenberg - University Mainz, Langenbeckstr. 1, 55131 Mainz, Germany Institute of Physiology, Johannes Gutenberg - University Mainz, Germany Department of Pediatrics, Johannes Gutenberg - University Mainz, Germany Department of Human Genetics, Friedrich-Alexander-University, Erlangen and MGZ, Munic, Germany
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