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A Smartphone App for Engaging Patients With Catheter-Associated Urinary Tract Infections: Protocol for an Interrupted Time-Series Analysis

BACKGROUND: Catheter-associated urinary tract infections (CAUTIs) are the main cause of health care–associated infections, and they increase the disease burden, antibiotic usage, and hospital stay. Inappropriate placement and unnecessarily prolonged usage of a catheter lead to an elevated and preven...

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Autores principales: Bentvelsen, Robbert Gerard, Veldkamp, Karin Ellen, Chavannes, Niels H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086777/
https://www.ncbi.nlm.nih.gov/pubmed/33755026
http://dx.doi.org/10.2196/28314
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author Bentvelsen, Robbert Gerard
Veldkamp, Karin Ellen
Chavannes, Niels H
author_facet Bentvelsen, Robbert Gerard
Veldkamp, Karin Ellen
Chavannes, Niels H
author_sort Bentvelsen, Robbert Gerard
collection PubMed
description BACKGROUND: Catheter-associated urinary tract infections (CAUTIs) are the main cause of health care–associated infections, and they increase the disease burden, antibiotic usage, and hospital stay. Inappropriate placement and unnecessarily prolonged usage of a catheter lead to an elevated and preventable risk of infection. The smartphone app Participatient has been developed to involve hospitalized patients in communication and decision-making related to catheter use and to control unnecessary (long-term) catheter use to prevent CAUTIs. Sustained behavioral changes for infection prevention can be promoted by empowering patients through Participatient. OBJECTIVE: The primary aim of our multicenter prospective interrupted time-series analysis is to reduce inappropriate catheter usage by 15%. We will evaluate the efficacy of Participatient in this quality improvement study in clinical wards. Our secondary endpoints are to reduce CAUTIs and to increase patient satisfaction, involvement, and trust with health care services. METHODS: We will conduct a multicenter interrupted time-series analysis—a strong study design when randomization is not feasible—consisting of a pre- and postintervention point-prevalence survey distributed among participating wards to investigate the efficacy of Participatient in reducing the inappropriate usage of catheters. After customizing Participatient to the wards’ requirements, it will be implemented with a catheter indication checklist among clinical wards in 4 large hospitals in the Netherlands. We will collect clinical data every 2 weeks for 6 months in the pre- and postintervention periods. Simultaneously, we will assess the impact of Participatient on patient satisfaction with health care services and providers and the patients’ perceived involvement in health care through questionnaires, and the barriers and facilitators of eHealth implementation through interviews with health care workers. RESULTS: To reduce the inappropriate use of approximately 40% of catheters (currently in use) by 15%, we aim to collect 9-12 data points from 70-100 patients per survey date per hospital. Thereafter, we will conduct an interrupted time-series analysis and present the difference between the unadjusted and adjusted rate ratios with a corresponding 95% CI. Differences will be considered significant when P<.05. CONCLUSIONS: Our protocol may help reduce the inappropriate use of catheters and subsequent CAUTIs. By sharing reliable information and daily checklists with hospitalized patients via an app, we aim to provide them a tool to be involved in health care–related decision-making and to increase the quality of care. TRIAL REGISTRATION: Netherlands Trial Register NL7178; https://www.trialregister.nl/trial/7178 INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/28314
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spelling pubmed-80867772021-05-07 A Smartphone App for Engaging Patients With Catheter-Associated Urinary Tract Infections: Protocol for an Interrupted Time-Series Analysis Bentvelsen, Robbert Gerard Veldkamp, Karin Ellen Chavannes, Niels H JMIR Res Protoc Protocol BACKGROUND: Catheter-associated urinary tract infections (CAUTIs) are the main cause of health care–associated infections, and they increase the disease burden, antibiotic usage, and hospital stay. Inappropriate placement and unnecessarily prolonged usage of a catheter lead to an elevated and preventable risk of infection. The smartphone app Participatient has been developed to involve hospitalized patients in communication and decision-making related to catheter use and to control unnecessary (long-term) catheter use to prevent CAUTIs. Sustained behavioral changes for infection prevention can be promoted by empowering patients through Participatient. OBJECTIVE: The primary aim of our multicenter prospective interrupted time-series analysis is to reduce inappropriate catheter usage by 15%. We will evaluate the efficacy of Participatient in this quality improvement study in clinical wards. Our secondary endpoints are to reduce CAUTIs and to increase patient satisfaction, involvement, and trust with health care services. METHODS: We will conduct a multicenter interrupted time-series analysis—a strong study design when randomization is not feasible—consisting of a pre- and postintervention point-prevalence survey distributed among participating wards to investigate the efficacy of Participatient in reducing the inappropriate usage of catheters. After customizing Participatient to the wards’ requirements, it will be implemented with a catheter indication checklist among clinical wards in 4 large hospitals in the Netherlands. We will collect clinical data every 2 weeks for 6 months in the pre- and postintervention periods. Simultaneously, we will assess the impact of Participatient on patient satisfaction with health care services and providers and the patients’ perceived involvement in health care through questionnaires, and the barriers and facilitators of eHealth implementation through interviews with health care workers. RESULTS: To reduce the inappropriate use of approximately 40% of catheters (currently in use) by 15%, we aim to collect 9-12 data points from 70-100 patients per survey date per hospital. Thereafter, we will conduct an interrupted time-series analysis and present the difference between the unadjusted and adjusted rate ratios with a corresponding 95% CI. Differences will be considered significant when P<.05. CONCLUSIONS: Our protocol may help reduce the inappropriate use of catheters and subsequent CAUTIs. By sharing reliable information and daily checklists with hospitalized patients via an app, we aim to provide them a tool to be involved in health care–related decision-making and to increase the quality of care. TRIAL REGISTRATION: Netherlands Trial Register NL7178; https://www.trialregister.nl/trial/7178 INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/28314 JMIR Publications 2021-03-23 /pmc/articles/PMC8086777/ /pubmed/33755026 http://dx.doi.org/10.2196/28314 Text en ©Robbert Gerard Bentvelsen, Karin Ellen Veldkamp, Niels H Chavannes. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 23.03.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included.
spellingShingle Protocol
Bentvelsen, Robbert Gerard
Veldkamp, Karin Ellen
Chavannes, Niels H
A Smartphone App for Engaging Patients With Catheter-Associated Urinary Tract Infections: Protocol for an Interrupted Time-Series Analysis
title A Smartphone App for Engaging Patients With Catheter-Associated Urinary Tract Infections: Protocol for an Interrupted Time-Series Analysis
title_full A Smartphone App for Engaging Patients With Catheter-Associated Urinary Tract Infections: Protocol for an Interrupted Time-Series Analysis
title_fullStr A Smartphone App for Engaging Patients With Catheter-Associated Urinary Tract Infections: Protocol for an Interrupted Time-Series Analysis
title_full_unstemmed A Smartphone App for Engaging Patients With Catheter-Associated Urinary Tract Infections: Protocol for an Interrupted Time-Series Analysis
title_short A Smartphone App for Engaging Patients With Catheter-Associated Urinary Tract Infections: Protocol for an Interrupted Time-Series Analysis
title_sort smartphone app for engaging patients with catheter-associated urinary tract infections: protocol for an interrupted time-series analysis
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086777/
https://www.ncbi.nlm.nih.gov/pubmed/33755026
http://dx.doi.org/10.2196/28314
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