Dataset Information

Developing Mobile Clinical Decision Support for Nursing Home Staff Assessment of Urinary Tract Infection using Goal-Directed Design.

ABSTRACT:

Background

Unique characteristics of nursing homes (NHs) contribute to high rates of inappropriate antibiotic use for asymptomatic bacteriuria (ASB), a benign condition. A mobile clinical decision support system (CDSS) may support NH staff in differentiating urinary tract infections (UTI) from ASB and reducing antibiotic days.

Objectives

We used Goal-Directed Design to: 1) Characterize information needs for UTI identification and management in NHs; 2) Develop UTI Decide, a mobile CDSS prototype informed by personas and scenarios of use constructed from Aim 1 findings; 3) Evaluate the UTI Decide prototype with NH staff.

Methods

Focus groups were conducted with providers and nurses in NHs in Denver, Colorado (n= 24). Qualitative descriptive analysis was applied to focus group transcripts to identify information needs and themes related to mobile clinical decision support for UTI identification and management. Personas representing typical end users were developed; typical clinical context scenarios were constructed using information needs as goals. Usability testing was performed using cognitive walk-throughs and a think-aloud protocol.

Results

Four information needs were identified including guidance regarding resident assessment; communication with providers; care planning; and urine culture interpretation. Design of a web-based application incorporating a published decision support algorithm for evidence-based UTI diagnoses proceeded with a focus on nursing information needs during resident assessment and communication with providers. Certified nursing assistant (CNA) and registered nurse (RN) personas were constructed in 4 context scenarios with associated key path scenarios. After field testing, a high fidelity prototype of UTI Decide was completed and evaluated by potential end users. Design recommendations and content recommendations were elicited.

Conclusions

Goal-Directed Design informed the development of a mobile CDSS supporting participant-identified information needs for UTI assessment and communication in NHs. Future work will include iterative deployment and evaluation of UTI Decide in NHs to decrease inappropriate use of antibiotics for suspected UTI.

SUBMITTER: Jones W

PROVIDER: S-EPMC6241758 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Developing Mobile Clinical Decision Support for Nursing Home Staff Assessment of Urinary Tract Infection using Goal-Directed Design.

Jones Wallace W Drake Cynthia C Mack David D Reeder Blaine B Trautner Barbara B Wald Heidi H

Applied clinical informatics 20170620 2

<h4>Background</h4>Unique characteristics of nursing homes (NHs) contribute to high rates of inappropriate antibiotic use for asymptomatic bacteriuria (ASB), a benign condition. A mobile clinical decision support system (CDSS) may support NH staff in differentiating urinary tract infections (UTI) from ASB and reducing antibiotic days.<h4>Objectives</h4>We used Goal-Directed Design to: 1) Characterize information needs for UTI identification and management in NHs; 2) Develop UTI Decide, a mobile ...[more]

PMID: 28636060

Similar Datasets

Project description:ObjectiveTo determine which nursing home (NH) resident characteristics were most important to clinicians' decision to prescribe antibiotics for a suspected urinary tract infection (UTI), including both evidence-based and non-evidence-based characteristics.DesignWeb-based discrete choice experiment with 19 clinical scenarios. For each scenario, clinicians were asked whether they would prescribe an antibiotic for a suspected UTI.SettingOnline survey.ParticipantsConvenience sample of 876 NH physicians and advanced practice providers who practiced primary care for NH residents in the United States.MethodsEach scenario varied information about 10 resident characteristics regarding urinalysis results, resident temperature, lower urinary tract symptoms, physical examination, antibiotic request, mental status, UTI risk, functional status, goals of care, and resident type. We derived importance scores for the characteristics and odds ratios (ORs) for specific information related to each characteristic from a multinomial logistic regression.ResultsApproximately half of the participants were male (56%) with a mean age of 49 years. Resident characteristics differed in their importance (ie, part-worth utility) when deciding whether to prescribe for a suspected UTI: urinalysis results (32%), body temperature (17%), lower urinary tract symptoms (17%), physical examination (15%), antibiotic request (7%), mental status (4%), UTI risk (4%), functional status (3%), goals of care (2%), and resident type (1%). Information about "positive leukocyte esterase, positive nitrates" was associated with highest odds of prescribing [OR 19.6, 95% confidence interval (CI) 16.9, 22.7], followed by "positive leukocyte esterase, negative nitrates" (OR 6.7, 95% CI 5.8, 7.6), and "painful or difficult urination" (OR 4.8, 95% CI 4.2, 5.5).Conclusions and implicationsAlthough guidelines focus on lower urinary tract symptoms, body temperature, and physical examination for diagnosing a UTI requiring antibiotics, these characteristics were considered less important than urinalysis results, which have inconsistent clinical utility in NH residents. Point-of-care clinical decision support offers an evidence-based prescribing process.

Project description:ObjectivesUrinary tract infection (UTI) is common in home care but not easily captured with standard assessment. This study aimed to examine the value of nursing notes in detecting UTI signs and symptoms in home care.DesignThe study developed a natural language processing (NLP) algorithm to automatically identify UTI-related information in nursing notes.Setting and participantsHome care visit notes (n = 1,149,586) and care coordination notes (n = 1,461,171) for 89,459 patients treated in the largest nonprofit home care agency in the United States during 2014.MeasuresWe generated 6 categories of UTI-related information from literature and used the Unified Medical Language System (UMLS) to identify a preliminary list of terms. The NLP algorithm was tested on a gold standard set of 300 clinical notes annotated by clinical experts. We used structured Outcome and Assessment Information Set data to extract the frequency of UTI-related emergency department (ED) visits or hospitalizations and explored time-patterns in documentation of UTI-related information.ResultsThe NLP system achieved very good overall performance (F measure = 0.9, 95% CI: 0.87-0.93) based on the test results obtained by using the notes for patients admitted to the ED or hospital due to UTI. UTI-related information was significantly more prevalent (P < .01 for all the tests) in home care episodes with UTI-related ED admission or hospitalization vs the general patient population; 81% of home care episodes with UTI-related hospitalization or ED admission had at least 1 category of UTI-related information vs 21.6% among episodes without UTI-related hospitalization or ED admission. Frequency of UTI-related information documentation increased in advance of UTI-related hospitalization or ED admission, peaking within a few days before the event.Conclusions and implicationsInformation in nursing notes is often overlooked by stakeholders and not integrated into predictive modeling for decision-making support, but our findings highlight their value in early risk identification and care guidance. Health care administrators should consider using NLP to extract clinical data from nursing notes to improve early detection and treatment, which may lead to quality improvement and cost reduction.

Project description:BACKGROUND:Urinary tract infection (UTI) is the most common reason for antibiotic prescription in nursing homes. Overprescription causes antibiotic-related harms in those who are treated and others residing within the nursing home. The diagnostic process in nursing homes is complicated with both challenging issues related to the elderly population and the nursing home setting. A physician rarely visits a nursing home for suspected UTI. Consequently, the knowledge of UTI and communication skills of staff influence the diagnosis. OBJECTIVE:The objective of this study is to describe a cluster randomized controlled trial with a tailored complex intervention for improving the knowledge of UTI and communication skills of nursing home staff in order to decrease the number of antibiotic prescriptions for UTI in nursing home residents, without changing hospitalization and mortality. METHODS:The study describes an open-label cluster randomized controlled trial with two parallel groups and a 1:1 allocation ratio. Twenty-two eligible nursing homes are sampled from the Capital Region of Denmark, corresponding to 1274 nursing home residents. The intervention group receives a dialogue tool, and all nursing home staff attend a workshop on UTI. The main outcomes of the study are the antibiotic prescription rate for UTI, all-cause hospitalization, all-cause mortality, and suspected UTI during the trial period. RESULTS:The trial ended in April 2019. Data have been collected and are being analyzed. We expect the results of the trial to be published in a peer-reviewed journal in the fall of 2020. CONCLUSIONS:The greatest strengths of this study are the randomized design, tailored development of the intervention, and access to medical records. The potential limitations are the hierarchy in the prescription process, Hawthorne effect, and biased access to data on signs and symptoms through a UTI diary. The results of this trial could offer a strategy to overcome some of the challenges of increased antibiotic resistance and could have implications in terms of how to handle cases of suspected UTI. TRIAL REGISTRATION:ClinicalTrials.gov NCT03715062; https://clinicaltrials.gov/ct2/show/NCT03715062. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID):DERR1-10.2196/17710.

Project description:ImportanceEmpirical antibiotic prescribing in nursing homes (NHs) is often suboptimal. The potential for antibiograms to improve empirical antibiotic decision-making in NHs remains poorly understood.ObjectiveTo determine whether providing NH clinicians with a urinary antibiogram improves empirical antibiotic treatment of urinary tract infections (UTIs).Design, setting, and participantsThis was a survey study using clinical vignettes. Participants were recruited via convenience sampling of professional organization listservs of NH clinicians practicing in the US from December 2021 through April 2022. Data were analyzed from July 2022 to June 2023.InterventionsRespondents were randomized to complete vignettes using a traditional antibiogram (TA), a weighted-incidence syndromic combination antibiogram (WISCA), or no tool. Participants randomized to antibiogram groups were asked to use the antibiogram to empirically prescribe an antibiotic. Participants randomized to the no tool group functioned as controls.Main outcomes and measuresEmpirical antibiotic selections were characterized as microbiologically (1) active and (2) optimal according to route of administration and spectrum of activity.ResultsOf 317 responses, 298 (95%) were included in the analysis. Duplicate responses (15 participants), location outside the US (2 participants), and uninterpretable responses (2 participants) were excluded. Most respondents were physicians (217 respondents [73%]) and had over 10 years of NH practice experience (155 respondents [52%]). A mixed-effects logistic model found that use of the TA (odds ratio [OR], 1.41; 95% CI, 1.19-1.68; P < .001) and WISCA (OR, 1.54; 95% CI, 1.30-1.84; P < .001) were statistically superior to no tool when choosing an active empirical antibiotic. A similarly constructed model found that use of the TA (OR, 1.94; 95% CI, 1.42-2.66; P < .001) and WISCA (OR, 1.7; 95% CI, 1.24-2.33; P = .003) were statistically superior to no tool when selecting an optimal empirical antibiotic. Although there were differences between tools within specific vignettes, when compared across all vignettes, the TA and WISCA performed similarly for active (OR, 1.09; 95% CI, 0.92-1.30; P = .59) and optimal (OR, 0.87; 95% CI, 0.64-1.20; P = .69) antibiotics.Conclusions and relevanceProviding NH clinicians with a urinary antibiogram was associated with selection of active and optimal antibiotics when empirically treating UTIs under simulated conditions. Although the antibiogram format was not associated with decision-making in aggregate, context-specific effects may have been present, supporting further study of syndromic antibiograms in clinical practice.

Project description:BackgroundResilience has been studied as an effective concept in nursing that acts as a protective factor which aids in overcoming difficult situations and related mental problems. With the recent increase in demand for nursing homes, nursing home nursing staff are facing a variety of stresses and psychological burdens. Improving resilience has been suggested as one way to deal with the difficulties, such as stress, exhaustion, and burnout, that nursing home nursing staff are experiencing. In order to provide successful education aimed at improving such resilience, it is very important to understand how to perceive experience from the learner's point of view.AimThe study's aim is to identify the ways that nursing home nursing staff build resilience.MethodThis study used phenomenography, a methodology for exploring the relationship between subject and phenomenon. From January 15, 2022 to February 20, 2022, data collection was undertaken at three nursing homes located in the Republic of Korea. The data was collected through semi-structured interviews with 20 nursing staff members in NHs and a data analysis that strictly followed the 7-step analysis process of phenomenography.ResultsEight categories were derived. The eight categories were then divided into two groups of four representing perception and strategy. Perception included four categories: 'grasping the situation', 'thinking about one's responsibility for the resident and personal values', 'considering one's strength' and 'thinking of an improved self'. Strategy included four categories: 'evaluation of oneself and one's environment', 'taking care of oneself', 'finding concrete ways to manage the problem' and 'self-development for growth'. Perception had three levels of awareness, valuing and assuring, while strategy had three levels of identifying, introspecting and concretizing.ConclusionThis study provides insight into how individual nursing staff build resilience, a complex and subjective concept. It provides a foundation for future resilience education of nursing home nursing staff and suggests future educational intervention development directions.

Dataset Information

Developing Mobile Clinical Decision Support for Nursing Home Staff Assessment of Urinary Tract Infection using Goal-Directed Design.

Background

Objectives

Methods

Results

Conclusions

Publications

Developing Mobile Clinical Decision Support for Nursing Home Staff Assessment of Urinary Tract Infection using Goal-Directed Design.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets