Conectar
We aimed to determine the feasibility of quality indicators (QIs) for prehospital advanced airway management (PAAM) from a provider point of view.
The study is a survey based feasibility assessment following field testing of QIs for PAAM.
The study was performed in two physician staffed emergency medical services in Switzerland.
42 of the 44 emergency physicians who completed at least one case report form (CRF) dedicated to the collection of the QIs on PAAM between 1 January 2019 and 31 December 2021 participated in the study.
The data required to calculate the 17 QIs was systematically collected through a dedicated electronic CRF.
Primary outcomes were provider-related feasibility criteria: relevance and acceptance of the QIs, as well as reliability of the data collection. Secondary outcomes were effort to collect specific data and to complete the CRF.
Over the study period, 470 CRFs were completed, with a median of 11 per physician (IQR 4–17; range 1–48). The median time to complete the CRF was 7 min (IQR 3–16) and was considered reasonable by 95% of the physicians. Overall, 75% of the physicians assessed the set of QIs to be relevant, and 74% accepted that the set of QIs assessed the quality of PAAM. The reliability of data collection was rated as good or excellent for each of the 17 QIs, with the lowest rated for the following 3 QIs: duration of preoxygenation, duration of laryngoscopy and occurrence of desaturation during laryngoscopy.
Collection of QIs on PAAM appears feasible. Electronic medical records and technological solutions facilitating automatic collection of vital parameters and timing during the procedure could improve the reliability of data collection for some QIs. Studies in other services are needed to determine the external validity of our results.
by Richard Gebler, Martin Lehmann, Maik Löwe, Mirko Gruhl, Markus Wolfien, Miriam Goldammer, Franziska Bathelt, Jens Karschau, Andreas Hasselberg, Veronika Bierbaum, Toni Lange, Katja Polotzek, Hanns-Christoph Held, Michael Albrecht, Jochen Schmitt, Martin Sedlmayr
BackgroundThe COVID-19 pandemic revealed a need for better collaboration among research, care, and management in Germany as well as globally. Initially, there was a high demand for broad data collection across Germany, but as the pandemic evolved, localized data became increasingly necessary. Customized dashboards and tools were rapidly developed to provide timely and accurate information. In Saxony, the DISPENSE project was created to predict short-term hospital bed capacity demands, and while it was successful, continuous adjustments and the initial monolithic system architecture of the application made it difficult to customize and scale.
MethodsTo analyze the current state of the DISPENSE tool, we conducted an in-depth analysis of the data processing steps and identified data flows underlying users’ metrics and dashboards. We also conducted a workshop to understand the different views and constraints of specific user groups, and brought together and clustered the information according to content-related service areas to determine functionality-related service groups. Based on this analysis, we developed a concept for the system architecture, modularized the main services by assigning specialized applications and integrated them into the existing system, allowing for self-service reporting and evaluation of the expert groups’ needs.
ResultsWe analyzed the applications’ dataflow and identified specific user groups. The functionalities of the monolithic application were divided into specific service groups for data processing, data storage, predictions, content visualization, and user management. After composition and implementation, we evaluated the new system architecture against the initial requirements by enabling self-service reporting to the users.
DiscussionBy modularizing the monolithic application and creating a more flexible system, the challenges of rapidly changing requirements, growing need for information, and high administrative efforts were addressed.
ConclusionWe demonstrated an improved adaptation towards the needs of various user groups, increased efficiency, and reduced burden on administrators, while also enabling self-service functionalities and specialization of single applications on individual service groups.
To investigate the decisional needs in Denmark of people with kidney failure, relatives, and health professionals when planning end-of-life care.
A qualitative interview study.
Individual semi-structured interviews were carried out with people with kidney failure, relatives and health professionals from November 2021 to June 2022. Malterud's systematic text condensation was used to analyse transcripts.
A total of 13 patients, 10 relatives, and 12 health professionals were interviewed. Overall, four concepts were agreed on: (1) Talking about end of life is difficult, (2) Patients and relatives need more knowledge and information, (3) Health professionals need more tools and training, and (4) Experiencing busyness as a barrier to conversations about end of life.
People with kidney failure, relatives, and health professionals shared certain decisional needs while also having some different decisional needs about end-of-life care. To meet these various needs, end-of-life conversations should be systematic and organized according to the patients' needs and wishes.
Non-systematic end-of-life care decision-making processes limit patients' involvement. Patients and relatives need more knowledge about end-of-life care, and health professionals need more competences and time to discuss decisional needs. A shared decision-making intervention for people with kidney failure when making end-of-life care decisions will be developed.
This empirical qualitative research is reported according to the Consolidated Criteria for Reporting Qualitative Research (COREQ) checklist.
Patients, relatives, and health professionals have been involved throughout the research process as part of the research team and advisory board. The patients are people with kidney failure and the relatives are relatives of a person with kidney failure. For this study, the advisory board has particularly contributed to the validation of the invitation letter for participation, the interview guides and the preparation of the manuscript.
by Isabel Lambrecht, Joanna van Asselt, Derek Headey, Bart Minten, Patrick Meza, Moe Sabai, Thet Su Sun, Hnin Ei Win
For decades, in-person data collection has been the standard modality for nationally and sub-nationally representative socio-economic survey data in low- and middle-income countries. As the COVID-19 pandemic rendered in-person surveys impossible and unethical, the urgent need for rapid monitoring necessitated researchers and statistical agencies to turn to phone surveys. However, apart from pandemic-related factors, a variety of other reasons can render large segments of a population inaccessible for in-person surveys, including political instability, climatic shocks, and remoteness. Such circumstances currently prevail in Myanmar, a country facing civil conflict and political instability since the February 2021 military takeover. Moreover, Myanmar routinely experiences extreme weather events and is characterized by numerous inaccessible and remote regions due to its mountainous geography. We describe a novel approach to sample design and statistical weighting that has been successfully applied in Myanmar to obtain nationally and sub-nationally representative phone survey data. We use quota sampling and entropy weighting to obtain a better geographical distribution compared to recent in-person survey efforts, including reaching respondents in areas of active conflict. Moreover, we minimize biases towards certain household and respondent characteristics that are usually present in phone surveys, for example towards well-educated or wealthy households, or towards men or household heads as respondents. Finally, due to the rapidly changing political and economic situation in Myanmar in 2022, the need for frequent and swift monitoring was critical. We carried out our phone survey over four quarters in 2022, interviewing more than 12,000 respondents in less than three months each survey. A survey of this scale and pace, though generally of much shorter duration than in-person interviews, could only be possible on the phone. Our study proves the feasibility of collecting nationally and sub nationally representative phone survey data using a non-representative sample frame, which is critical for rapid monitoring in any volatile economy.To evaluate the impact of a co-designed intervention to reduce time spent on clinical documentation and increase time for direct patient care.
A pre- and post-test interventional study with multi-method evaluation, reported according to the Transparent Reporting of Evaluations with Nonrandomised Evaluations Designs guidelines.
An intervention to decrease the burden of documentation was co-designed and implemented. Pre- and post-intervention data were collected via time and motion studies and the Burden of Documentation for Nurses and Midwives (BurDoNsaM) survey. Documentation audits were conducted to assess intervention fidelity.
Twenty-six shifts were observed (13 pre-intervention, 13 post-intervention). Although the coronavirus pandemic contributed to decreases in staffing levels by 38% (from 118 to 73 staff), the number of task episodes completed increased post-intervention, across all shift patterns. Documentation took less time to complete post-intervention when assessing time per episode. A mean increase of 201 episodes was observed on morning shifts, 78 on evening shifts and 309 on night shifts. There were small increases for time spent on direct patient care compared to pre-intervention but there was less time per episode. Results from the BurDoNsaM survey indicated that participants felt documentation took less time post-intervention. Documentation audits found completion improved as staff gained familiarity, but deteriorated when staffing levels were reduced.
The intervention was able to reduce time spent completing documentation, increasing the time available for direct patient care.
Completing clinical documentation is part of the daily work of nurses and midwives. Clinical documentation needs to accurately capture key information in a concise and streamlined manner to avoid unnecessary burdens and release time for direct patient care.
This study tested a co-designed intervention to address the burden of clinical documentation for nurses and midwives, The intervention reduced time spent on clinical documentation and increased time for direct patient care, This study could be replicated to reduce the burden of clinical documentation in other settings and benefit clinicians and patients by releasing more time for direct patient care.
The study is reported using the Transparent Reporting of Evaluations with Nonrandomised Evaluations Designs (TREND) guidelines.
The research project and intervention evaluated in this study were co-designed through a clinician-researcher collaboration. A research team that consisted of clinically based nurses and midwives and nurse scientists was formed to address the burden of clinical documentation. As the end-users of clinical documentation, the clinically based nurse and midwife co-investigators were involved in the design, conduct, interpretation of the data, and preparation of the manuscript.
FreshRSS 