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Testing the Usability of a Software for Geospatial and Transport Modeling in Acute Stroke Service Planning.

ABSTRACT: Introduction: Geographic visualizations have been used to understand disease since the nineteenth century. We developed a software that creates simple visualizations which can be used as a decision support tool for pre-hospital acute stroke transportation planning. In this study, we test the usability of this software to improve user experience and assess the interpretability of the visualizations it produces as it relates to planning and optimizing stroke systems of care. Materials and Methods: Healthcare practitioners and administrators working within the acute stroke system in Alberta, Canada were invited to participate. Participants were randomized to either the geographic visualization or 2-D temporospatial diagrams. Using a standardized script participants were asked to complete tasks and interpret the visualizations produced by the software. The computer screen and audio were recorded. Recordings were transcribed verbatim and analyzed using inductive thematic analyses. The number of errors made and time to task completion were also analyzed. Results: Eighteen participants (8 physicians, 5 healthcare administrators, 3 paramedics, and 2 nurses) were enrolled. Mean age was 41.22 years (SD: 10.55) and 8 participants were female. It took users a mean of 1.59 min (SD: 0.71) to complete all 10 tasks for the geographic visualizations and a mean of 1.08 min (SD: 0.33) to complete all 15 tasks for the 2-D temporospatial diagrams. Map users made a median of 2 errors (IQR: 4), 2-D temporospatial diagram users also made a median of 2 errors (IQR: 1.5). All but one map user correctly interpreted all maps, only three of the eight 2-D temporospatial diagram correctly interpreted all diagrams. In the qualitative analysis three common themes were identified: comments on the user interface, comments on the visualization tool(s), and suggestions for improvement. Most study participants mentioned that the software would be useful in their work. Conclusions: Healthcare professional from several different aspects of stroke care see geographic visualizations in transport decision making to be a useful tool. The software demonstrated high usability. However, several suggestions were made to improve user experience as well as additional features which could be developed and become the subject of future studies.

SUBMITTER: Holodinsky JK

PROVIDER: S-EPMC6610475 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Testing the Usability of a Software for Geospatial and Transport Modeling in Acute Stroke Service Planning.

Holodinsky Jessalyn K JK Francis Michael J MJ Goyal Mayank M Hill Michael D MD Kamal Noreen N

Frontiers in neurology 20190627

<b>Introduction:</b> Geographic visualizations have been used to understand disease since the nineteenth century. We developed a software that creates simple visualizations which can be used as a decision support tool for pre-hospital acute stroke transportation planning. In this study, we test the usability of this software to improve user experience and assess the interpretability of the visualizations it produces as it relates to planning and optimizing stroke systems of care. <b>Materials an ...[more]

PMID: 31316459

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Project description:BackgroundSafety planning is a brief intervention that has become an accepted practice in many clinical settings to help prevent suicide. Even though it is quick compared to other approaches, it frequently requires 20 min or more to complete, which can impede adoption. A self-administered, Web-based safety planning application could potentially reduce clinician time, help promote standardization and quality, and provide enhanced ability to share the created plan.ObjectiveThe aim of this study was to design, build, and test the usability of a Web-based, self-administered safety planning application.MethodsWe employed a user-centered software design strategy led by a multidisciplinary team. The application was tested for usability with a target sample of suicidal patients. Detailed observations, structured usability ratings, and Think Aloud procedures were used. Suicidal ideation intensity and perceived ability to cope were assessed pre-post engagement with the Web application.ResultsA total of 30 participants were enrolled. Usability ratings were generally strong, and all patients successfully built a safety plan. However, the completeness of the safety plan varied. The mean number of steps completed was 5.5 (SD 0.9) out of 6, with 90% (27/30) of participants completing at least 5 steps and 67% (20/30) completing all 6 steps. Some safety planning steps were viewed as inapplicable to some individuals. Some confusion in instructions led to modifications to improve understandability of each step. Ratings of suicide intensity after completion of the application were significantly lower than preratings, pre: mean 5.11 (SD 2.9) versus post: mean 4.46 (SD 3.0), t27=2.49, P=.02. Ratings of ability to cope with suicidal thoughts after completion of the application were higher than preratings, with the difference approaching statistical significance, pre: mean 5.93 (SD 2.9), post: mean 6.64 (SD 2.4), t27=-2.03, P=.05.ConclusionsWe have taken the first step toward identifying the components needed to maximize usability of a self-administered, Web-based safety planning application. Results support initial consideration of the application as an adjunct to clinical contact. This allows for the clinician or other personnel to provide clarification, when needed, to help the patient build the plan, and to help review and revise the draft.

Project description:BACKGROUND:Mental health service managers must take into account multiple factors when making decisions about the best way to deliver care to clients across increasingly larger service areas. This task is made more difficult by the lack of evidence and tools historically available to inform these decisions. In recent decades, the increasing availability of epidemiological and service use data for mental illness has solved the problem of evidence, but there still exists a challenge to make these data easily accessible and understandable for managers. OBJECTIVE:This study aims to develop a simulation modeling tool to allow managers to explore various service configurations in virtual reality, enabling predictions to be made about the cost and quality of care. METHODS:This is a longitudinal, mixed-methods case study, comprising overlapping intervention and evaluation phases. In partnership with senior managers of a mental health program, the researchers will develop a series of simulation models in Arena to address key strategic issues facing the service. Thematic and content analyses of semistructured interviews, meeting observations, and document analysis will be used to evaluate the process of model implementation and the outcomes for both researchers and managers. The study is being conducted in Australia. RESULTS:Data collection has been ongoing since late 2013. To date, 3 prototype simulation models have been developed and presented to senior managers, and 18 evaluation interviews have been conducted. The project is expected to conclude in late 2018. CONCLUSIONS:Findings of this study have the potential to shape decision making in mental health service delivery, by providing key examples of how to integrate patient data using simulation modeling. In addition, the results will provide key insights into how researchers and consultants can effectively implement simulation modeling in real-world health care organizations. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID):RR1-10.2196/11119.

Project description:Introduction: Offering HIV testing services (HTS) within sexual and reproductive health (SRH) services is a priority, especially for women who have a substantial risk. To reach women with HIV who do not know their status and prevent mother-to-child HIV transmission, the World Health Organization (WHO) recommends routinely offering HTS as part of family planning (FP) service delivery in high HIV burden settings. We conducted a landscape analysis to assess HTS uptake and HIV positivity in the context of FP/SRH services. Assessment of Research and Programs: We searched records from PubMed, four gray literature databases, and 13 organization websites, and emailed 24 organizations for data on HTS in FP/SRH services. We also obtained data from International Planned Parenthood Federation (IPPF) affiliates in Eswatini, Kenya, Lesotho, Malawi, Namibia, Uganda, Zambia, and Zimbabwe. Unique programs/studies from records were included if they provided data on, or barriers/facilitators to, offering HTS in FP/SRH. Overall, 2,197 records were screened and 12 unique programs/studies were eligible, including 10 from sub-Saharan Africa. Four reported on co-delivery of SRH services (including FP), with reported HTS uptake between 17 and 94%. Six reported data on HTS in FP services: four among general FP clients; one among couples; and one among female sex workers, adolescent girls, and young women. Two of the six reported HTS uptake >50% (51%, 419/814 Kenya; 63%, 5,930/9,439 Uganda), with positivity rates of 2% and 4.1%, respectively. Uptake was low (8%, 74/969 Kenya) in the one FP program offering pre-exposure prophylaxis. In the IPPF program, seven countries reported HTS uptake in FP services and ranged from 4% in Eswatini to 90% in Lesotho; between 0.6% (Uganda) and 8% (Eswatini) of those tested were HIV positive. Implications: Data on providing HTS in FP/SRH service delivery were sparse and HTS uptake varied widely across programs. Actionable Recommendations: As countries expand HTS in FP/SRH appropriate to epidemiology, they should ensure data are reported and monitored for progress and impact.

Project description:BackgroundDespite evidence of benefit after injury, helicopter emergency medical services (HEMS) overtriage remains high. Scene and transfer overtriage are distinct processes. Our objectives were to identify geographic variation in overtriage and patient-level predictors, and determine if overtriage impacts population-level outcomes.MethodsPatients 16 years or older undergoing scene or interfacility HEMS in the Pennsylvania Trauma Outcomes Study were included. Overtriage was defined as discharge within 24 hours of arrival. Patients were mapped to zip code, and rates of overtriage were calculated. Hot spot analysis identified regions of high and low overtriage. Mixed-effects logistic regression determined patient predictors of overtriage. High and low overtriage regions were compared for population-level injury fatality rates. Analyses were performed for scene and transfer patients separately.ResultsA total of 85,572 patients were included (37.4% transfers). Overtriage was 5.5% among scene and 11.8% among transfer HEMS (p < 0.01). Hot spot analysis demonstrated geographic variation in high and low overtriage for scene and transfer patients. For scene patients, overtriage was associated with distance (odds ratio [OR], 1.03; 95% confidence interval [CI], 1.01-1.06 per 10 miles; p = 0.04), neck injury (OR, 1.27; 95% CI, 1.01-1.60; p = 0.04), and single-system injury (OR, 1.37; 95% CI, 1.15-1.64; p < 0.01). For transfer patients, overtriage was associated with rurality (OR, 1.64; 95% CI, 1.22-2.21; p < 0.01), facial injury (OR, 1.22; 95% CI, 1.03-1.44; p = 0.02), and single-system injury (OR, 1.35; 95% CI, 1.18-2.19; p < 0.01). For scene patients, high overtriage was associated with higher injury fatality rate (coefficient, 1.72; 95% CI, 1.68-1.76; p < 0.01); low overtriage was associated with lower injury fatality rate (coefficient, -0.73; 95% CI, -0.78 to -0.68; p < 0.01). For transfer patients, high overtriage was not associated with injury fatality rate (p = 0.53); low overtriage was associated with lower injury fatality rate (coefficient, -2.87; 95% CI, -4.59 to -1.16; p < 0.01).ConclusionGeographic overtriage rates vary significantly for scene and transfer HEMS, and are associated with population-level outcomes. These findings can help guide targeted performance improvement initiatives to reduce HEMS overtriage.Level of evidenceTherapeutic, level IV.

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Dataset Information

Testing the Usability of a Software for Geospatial and Transport Modeling in Acute Stroke Service Planning.

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Testing the Usability of a Software for Geospatial and Transport Modeling in Acute Stroke Service Planning.

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