Paper-based Guidelines Research Articles

Are serious games seriously good at preparing students for clinical practice?: A randomized controlled trial

Purpose Serious games (SGs) have great potential for pediatric medical education. This study evaluated the efficacy of a SG in improving learner satisfaction, knowledge, and behavior. Materials and methods This was an investigator-blinded randomized controlled trial (RCT) comparing a SG against two controls: (i) adaptive tutorial (AT), and (ii) low-stimulus control (LSC). SG is a highly immersive role-playing game in a virtual hospital. AT delivers interactive web-based lessons. LSC is paper-based clinical practice guidelines. Metropolitan senior medical students at UNSW were eligible. A total of 154 enrolled and were block randomized to one intervention. Participants had access to one intervention for 8 weeks which taught pediatric acute asthma and seizure assessment and management. Satisfaction was assessed with Likert-scale responses to 5 statements and 2 free-text comments. Knowledge was assessed with 10 multiple-choice questions (MCQs). Clinical behavior was assessed during a 30-point simulated clinical management scenario (CMS). Primary analysis was performed on a modified intention-to-treat basis and compared: (1) SG vs. AT; and (2) SG vs. LSC. Results A total of 118 participants were included in the primary analysis (modified intention-to-treat model). No significant differences in MCQ results between the SG and control groups. SG group outperformed the LSC group in the CMS, with a moderate effect (score out of 30: 20.8 (3.2) vs. 18.7 (3.2), respectively, d = 0.65 (0.2–1.1), p = 0.005). No statistically significant difference between SG and AT groups in the CMS (score: 20.8 (3.2) vs. 19.8 (3.1), respectively, d = 0.31 (–0.1 to 0.8), p = 0.18). A sensitivity analysis (per-protocol model) was performed with similar outcomes. Conclusions This is the first investigator-blinded RCT assessing the efficacy of a highly immersive SG on learner attitudes, knowledge acquisition, and performance in simulated pediatric clinical scenarios. The SG demonstrated improved translation of knowledge to a simulated clinical environment, particularly compared to LSC. SGs show promise in pediatric medical education.

Development and evaluation of a mobile-based asthma clinical decision support system to enhance evidence-based patient management in primary care

BackgroundDespite tremendous efforts, satisfactory adherence to asthma care guidelines has remained an unmet need worldwide. There is a growing body of evidence that applying informatics-based solutions such as clinical decision support systems (CDSS) could enhance guideline adherence. The main objectives of our research include proposing a framework for translating evidence into a guideline-based CDSS and developing an asthma-specific CDSS based on the proposed framework. MethodsThe stepwise framework for those who want to implement guideline-based CDSS in form of a simple-to-use application was described in this research. Nested decision tree modeling was performed in an iterative process to model patient-related decisions under expert consultation. Six expert panel members were asked to evaluate the application based on actual patient data, once based on paper-based guidelines, and once based on the expert system to calculate the accuracy of our CDSS. In the usability evaluation phase, evaluators completed tasks based on the think-aloud protocol to find usability problems. Then, to determine the level of usability a standard SUS questionnaire was applied. ResultsIn total, 28 clinical decision trees (CDTs) and more than 220 rules were necessary to cover the whole guideline. Moreover, 336 knowledge statements were extracted from the GINA guideline. After modification with feedback from seven experts, our application was developed on the Android Platform. For asthma diagnosis, CDSS had a sensitivity, specificity, and accuracy of 100%, 86.71%, and 93.33%, respectively. The think-aloud usability evaluation revealed that the total problems (n = 32) were classified deductively into layout problems (43.8%), terminology problems (9.4%), data entry problems (18.8%), and comprehensiveness problems (28.1%). The overall usability score level was 90.22(±9.487), while learnability and usability scores were 4.43 and 4.52 out of 5, respectively. ConclusionThe ginasthma mobile-based CDSS can provide healthcare providers with an automated individualized action plan by combining patient data with embedded knowledge from the GINA guidelines with high accuracy.

Health worker perspectives of Smart Triage, a digital triaging platform for quality improvement at a referral hospital in Uganda: a qualitative analysis

BackgroundEffective triage at hospitals can improve outcomes for children globally by helping identify and prioritize care for those most at-risk of death. Paper-based pediatric triage guidelines have been developed to support frontline health workers in low-resource settings, but these guidelines can be challenging to implement. Smart Triage is a digital triaging platform for quality improvement (QI) that aims to address this challenge. Smart Triage represents a major cultural and behavioural shift in terms of managing patients at health facilities in low-and middle-income countries. The purpose of this study is to understand user perspectives on the usability, feasibility, and acceptability of Smart Triage to inform ongoing and future implementation.MethodsThis was a descriptive qualitative study comprising of face-to-face interviews with health workers (n = 15) at a regional referral hospital in Eastern Uganda, conducted as a sub-study of a larger clinical trial to evaluate Smart Triage (NCT04304235). Thematic analysis was used to assess the usability, feasibility, and acceptability of the platform, focusing on its use in stratifying and prioritizing patients according to their risk and informing QI initiatives implemented by health workers.ResultsWith appropriate training and experience, health workers found most features of Smart Triage usable and feasible to implement, and reported the platform was acceptable due to its positive impact on reducing the time to treatment for emergency pediatric cases and its use in informing QI initiatives within the pediatric ward. Several factors that reduced the feasibility and acceptability were identified, including high staff turnover, a lack of medical supplies at the hospital, and challenges with staff attitudes.ConclusionHealth workers can use the Smart Triage digital triaging platform to identify and prioritize care for severely ill children and improve quality of care at health facilities in low-resource settings. Future innovation is needed to address identified feasibility and acceptability challenges; however, this platform could potentially address some of the challenges to implementing current paper-based systems.

Implementing Virtual Reality technology for safety training in the precast/ prestressed concrete industry

Thousands of people work in the precast/pre-stressed concrete industry every day. Due to the design of the precast/prestressed concrete product itself and the processes required for its production, employees are occasionally exposed to hazards. The industry recognizes this and devotes a significant amount of time and investment to mitigate these hazards and protect employees from harm. It is essential for employees to go through appropriate safety training before starting work in the plant. Practical safety training should be cost-effective, and performance guaranteed, and traditional training procedures include paper-based safety guidelines, lectures, videos, and on-site training. Virtual Reality (VR) provides an innovative approach for safety training as it could offer situational training with negligible risk and at a low cost. In this paper, a VR training module is developed to deliver safety training in a cost-effective yet repeatable manner, aiming to reduce common plant injuries. The module is developed using Unity3D and Visual Studio joint platforms and can be interfaced with using the Oculus Rift/Oculus S. The module addresses three major safety concerns in the plant: personal protective equipment (PPE), the tensioning of strand (the stressing process), and suspended loads. Efficacy and effectiveness analyses were conducted to evaluate the performance of the proposed VR module. The efficacy analysis was based on simulation sickness, user experience, and system usability. This analysis showed that the developed VR module is a user-friendly simulator with minimal simulation sickness. More than 50% of the participants reported no indications of simulation sickness. In addition, an effectiveness analysis was performed based upon a comparative study of this VR training method and the traditional video-based training method. This analysis indicated that VR training is more engaged and provides a better understanding of safety protocols and real-life experience of the precast/prestressed concrete plant.

Impact of a mobile-based (mHealth) tool to support community health nurses in early identification of depression and suicide risk in Pacific Island Countries.

To convert screening tools for depression and suicide risk into algorithmic decision support on smartphones for use by community health nurses (CHNs), and to evaluate the efficiency, effectiveness, and usability of the mHealth tool in providing mental health (MH) care. Two scenarios of depression and suicide risk were developed and presented to 48 nurses using paper-based and mobile-based guidelines under laboratory (nonclinical) conditions. Participants read through the case scenarios to provide summaries, diagnoses, and management recommendations. Audiotapes were transcribed and analyzed for accuracy in scoring guidelines, therapy decisions, and time for tasks completion. The validated System Usability Scale (SUS) was used to measure mobile app usability. Using mHealth-based guidelines, nurses took significantly less time to complete their tasks, and generated no errors of addition, as compared to paper-based guidelines. Although coding errors were noted when using the mHealth app, it did not influence treatment recommendations. The system usability scores for both guidelines were over 84%. Usable mHealth technology can support task-sharing for CHNs in Fiji, for the efficient and accurate screening of patients for depression and suicide risks in a nonclinical setting. Studies on clinical implementation of the mHealth tool are needed and planned.

Mobile application-based guidelines to enhance patient care and provider education in trauma and acute care surgery

IntroductionProviding up-to-date, universally accessible care guidelines and education within a quaternary care center is challenging. At our institution, trauma and acute care surgery guidelines have historically been published using a...

How Can Decision Support Tools Help Reduce Nitrate and Pesticide Pollution from Agriculture? A Literature Review and Practical Insights from the EU FAIRWAY Project

The FAIRWAY project reviewed approaches for protecting drinking water from nitrate and pesticide pollution. A comprehensive assessment of decision support tools (DSTs) used by farmers, advisors, water managers and policy makers across the European Union as an aid to meeting CAP objectives and targets was undertaken, encompassing paper-based guidelines, farm-level and catchment level software, and complex research models. More than 150 DSTs were identified, with 36 ranked for further investigation based on how widely they were used and/or their potential relevance to the FAIRWAY case studies. Of those, most were farm management tools promoting smart nutrient/pesticide use, with only three explicitly considering the impact of mitigation methods on water quality. Following demonstration and evaluation, 12 DSTs were selected for practical testing at nine diverse case study sites, based on their pertinence to local challenges and scales of interest. Barriers to DST exchange between member states were identified and information was collected about user requirements and attitudes. Key obstacles to exchange include differences in legislation, advisory frameworks, country-specific data and calibration requirements, geo-climate and issues around language. Notably, DSTs from different countries using the same input data sometimes delivered very different results. Whilst many countries have developed DSTs to address similar problems, all case study participants were able to draw inspiration from elsewhere. The support and advice provided by skilled advisors was highly valued, empowering end users to most effectively use DST outputs.

Effects of a computerised guideline support tool on child healthcare professionals\u2019 response to suspicions of child abuse and neglect: a community-based intervention trial

BackgroundHealthcare professionals’ adherence to guidelines on child protection is not self-evident. This study assessed the effects of a computerised support tool on child healthcare professionals’ adherence to the seven recommended guideline activities, and on time spent seeking information presented in this guideline.MethodsA community-based intervention trial design was applied, comparing access to a paper-based guideline (control) with access to a paper-based guideline supplemented with a computerised guideline support tool (intervention). A total of 168 child healthcare doctors and nurses working in one large Dutch organisation were allocated to an intervention or control group. Outcomes were professionals’ performance of seven recommended guideline activities and the amount of time spent seeking information presented in the guideline. Professionals’ adherence was measured using two methods: health record analysis and a self-report questionnaire. The questionnaire was also used to collect data on the amount of time spent seeking guideline information.ResultsIn total, 152 health records (102 in the intervention group and 50 in the control group) were available for analysis. The tool was registered in 14% of the records in the intervention group. Performance of activities, corrected for intentional non-adherence, was except for one activity, high (range 80–100%); no differences were found between the control and intervention groups. Forty-nine questionnaires (24 in the intervention group and 25 in the control group) were analysed. Sixty-three percent of the questionnaire respondents (15/24) claimed to have used the tool. No differences in guideline adherence were found between the two groups. Respondents in the intervention and control groups spent, on average, 115 and 153 min respectively seeking relevant information presented in the guideline.ConclusionsThe results regarding use of the tool were inconclusive as the outcomes differed per method. In contrast to expectations, performance of guideline activities was high in both groups. The support tool may decrease the amount of time spent on seeking guideline information. However, given the high adherence scores and small number of questionnaire respondents, the outcomes failed to reach statistical significance. Future research should focus on studying the effects of the tool after a longer period of availability.

M-Power Heart Project - a nurse care coordinator led, mHealth enabled intervention to improve the management of hypertension in India: study protocol for a cluster randomized trial

BackgroundThe proportion of patients with controlled hypertension (< 140/90 mmHg) is very low in India. Thus, there is a need to improve blood pressure management among patients with uncontrolled hypertension through innovative strategies directed at health system strengthening.MethodsWe designed an intervention consisting of two important components – an electronic decision support system (EDSS) used by a trained nurse care coordinator (NCC). Based on preliminary data, we hypothesized that this intervention will be able to reduce mean systolic blood pressure by 6.5 mmHg among those with uncontrolled blood pressure in the intervention arm compared to the standard treatment arm (paper-based hypertension treatment guidelines). The study will adopt a cluster randomized trial design with the community health center (CHC) as the unit of randomization. The trial will be conducted in Visakhapatnam district (southern India). A total of 1876 participants aged ≥30 years with high blood pressure – systolic blood pressure (SBP) ≥ 160 mmHg or diastolic blood pressure (DBP) ≥ 90 mmHg will be enrolled from 12 CHCs. The intervention consists of trained NCCs equipped with an evidence-based hypertension treatment algorithm in the form of the EDSS with regular SMSs to patients with hypertension to promote hypertension treatment and blood pressure control for 12 months. The primary outcome will be difference in the mean change of SBP, from baseline to 12 months, between the intervention and the standard treatment arm. The secondary outcomes are the difference in mean change of DBP; difference in the proportion of patients with controlled blood pressure (< 140/90 mmHg); difference in mean change of fasting blood sugar, HbA1C, eGFR, and albumin to creatinine ratio; difference in the proportion of patients visiting the CHC regularly (number of actual visits to the CHC/number of visits suggested by the EDSS > 80%); difference in proportion of patients compliant to anti-hypertensive medication/s; cost-effectiveness of intervention versus enhanced care. All the outcomes will be assessed at 12 months.DiscussionThe study is expected to provide evidence on the effectiveness of NCC-led, EDSS-based hypertension management in India and can likely offer an exemplar for improving cardiovascular disease (CVD) management in India within the resource-constrained public healthcare system.Trial registrationClinicalTrials.gov, ID: NCT03164317). Registered retrospectively on 23 May 2017 (first patient enrolled on 6 April 2017) because the authors did not receive a response to their original registration submission (5 January 2017) to the Clinical Trial Registry – India (CTRI).

Perceptions of a mobile health intervention for Community Case Management in Malawi: Opportunities and challenges for Health Surveillance Assistants in a community setting.

Improved availability of mobile phones in low- and middle-income countries (LMICs) offer an opportunity to improve delivery of Community Case Management (CCM). Despite enthusiasm for introducing mHealth into healthcare across LMICs, end-user attitudes towards mHealth solutions for CCM are limited. We aimed to explore Health Surveillance Assistants' (HSAs) perceptions of the Supporting LIFE electronic CCM Application (SL eCCM App) and their experiences incorporating it as part of their clinical practice. This exploratory qualitative study was part of a mixed methods feasibility study investigating whether children under-5 presenting to village clinics could be followed-up to collect patient outcome data. The convenience sample of 12 HSAs enrolled into the feasibility study participated in semi-structured interviews, which were conducted at village clinics after HSAs had field-tested the SL eCCM App over a 10-day period. Interviews explored HSAs perceptions of the SL eCCM App and their experiences in using the App in addition to paper CCM to assess and treat acutely unwell children. Open coding was used to label emerging concepts, which were iteratively defined and developed into six key themes. HSAs' perceived enhanced clinical decision-making, quality of CCM delivery, and work efficiency as opportunities associated with using the SL eCCM App. HSAs believed the inability to retrieve patient records,, cumbersome duplicate assessments/data entry study procedures, and inconsistencies between the SL eCCM App and paper-based CCM guidelines as challenges to implementation. Adding features to the App, such as, permitting communication between colleagues/supervisors, drug stock-out reporting, and community assessments, were identified as potentially supporting HSAs' many roles in the community. This study identified opportunities and challenges associated with using the SL eCCM App in Malawi. This information can be used to inform future development and evaluation of the SL eCCM App, and similar mHealth solutions for CCM in Malawi and other developing countries.

Stakeholders perspectives on paper-based and electronic clinical decision support systems in Malawi Africa

The objective of this paper is to explore the perceptions of key stakeholders involved and/or affected by existing paper-based decision support guidelines (known as Community Case Management (CCM)) and a proposed digitised mobile clinical decision support system (CDSS) of CCM in rural settings of Malawi, Africa. Data was collected using field notes and semi-structured interviews with 17 key stakeholders (i.e. clinical, technical, development aid support (NGO), government and community health workers both in Malawi, Europe and USA). Stakeholders provide a rich insight into the variety of both perceived benefits and challenges of the existing guidelines and the proposed electronic CDSS. It was found that all stakeholders believe that the CDSS will improve adherence to guidelines and subsequently result in better care for children. It is further envisioned that the time needed for administration with the current paper-based approach could be reduced using electronic, as opposed to manual, collation and sending of records. This paper acts to underpin the rationale and motivation for the development and rollout of an electronic CDSS to support community health workers in their assessment, classification and treatment of young children in rural settings in Malawi, Africa.

Uncovering healthcare practitioners’ information processing using the think-aloud method: From paper-based guideline to clinical decision support system

ObjectiveTo investigate whether the use of the think-aloud method with propositional analysis could be helpful in the design of a Clinical Decision Support System (CDSS) providing guideline recommendations about long-term follow-up of childhood cancer survivors. Materials and methodsThe think-aloud method was used to gain insight into healthcare professionals’ information processing while reviewing a paper-based guideline. A total of 13 healthcare professionals (6 physicians and 7 physician assistants) prepared 2 fictitious patient consults using the paper-based guideline. Propositional analysis was used to analyze verbal protocols of the think-aloud sessions. A prototype CDSS was developed and a usability study was performed, again with the think-aloud method. ResultsThe analysis revealed that the paper-based guideline did not support healthcare practitioners in finding patient-specific recommendations. An information processing model for retrieving recommendations was developed and used as input for the design of a CDSS prototype user interface. Usability analysis of the prototype CDSS showed that the navigational structure of the system fitted well with healthcare practitioners’ daily practices. ConclusionsThe think-aloud method combined with propositional analysis of healthcare practitioners’ verbal utterances while they processed a paper-based guideline was useful in the design of a usable CDSS providing patient-specific guideline recommendations.

DRUGS system enhancing adherence of Chinese surgeons to antibiotic use guidelines during perioperative period.

ObjectiveIrrational use of antimicrobial agents for preventing postoperative SSIs is a common phenomenon in China, which results in more bacterial resistance, higher hospital infection rates, extra costs of antimicrobial agents. The aim of the study is to evaluate the effect of Drug Rational Usage Guidelines System (DRUGS) on the surgeon's prescription behavior of antimicrobial agents.Methods10 common surgical operations which included 1543 cases (where 778 cases using paper-based guidelines and 765 cases using DRUGS) were selected and their demographic and clinical data were collected. The selected operations include thyroid resection, breast mass resection, myomectomy, etc. The evaluation criteria were antibiotic administrative categories, the time of initial dose, duration of administration, length of stay, the costs of antibiotics, SSIs and drug adverse reactions(ADR).ResultsThe antimicrobial agents were mostly administrated within 0.5 h to 2 h before incision, 656 patients (85.75%) were intervened with DRUGS and 256 (32.90%) with paper-based guidelines according to the protocol. For the clean wounds incision, 547 patients (91.62%) were within 24 h of withdrawal antibiotics with using paper-based guidelines versus 91 (14.79%) with using DRUGS. A total of 19 kinds of antibiotics were used in the 1543 cases. The leading three on the list of frequency were piperacillin and sulbactam sodium, cefathiamidine and cefoperazone. While after the intervention, the list of frequency changed to cefazolin, cefathiamidine, cefoperazone. The average hospital stay was (7.00±4.31)d with paper-based guidelines and (2.54±1.57)d with DRUGS, respectively. The average cost of antibiotics was ¥(3481.36±2584.46) with paper-based guidelines and ¥(1693.39±1478.27) with DRUGS, respectively. However, there were no significant differences in the incidence of SSIs and ADR between two groups.ConclusionIn this study, the increased availability of antibiotic guidelines at the time of drug ordering, combined with DRUGS, was associated with an enhanced surgeon adherence to guidelines.

From an expert-driven paper guideline to a user-centred decision support system: A usability comparison study

To assess whether a user-centred prototype clinical decision support system (CDSS) providing patient-specific advice better supports healthcare practitioners in terms of (a) types of usability problems detected and (b) effective and efficient retrieval of childhood cancer survivor's follow-up screening procedures compared to an expert-driven paper-based guideline. A user-centred design (UCD) process was employed to design a prototype CDSS. Usability problems in information retrieval with the paper-based guideline were assessed by think-aloud analysis with 13 participants. Both simple and more complex tasks were applied. The analysis provided input for the UCD process of the prototype. The usability of the prototype CDSS was subsequently evaluated by think-aloud analysis with the same participants. Usability problems of the paper-based guideline and the prototype CDSS were compared by using the classification of usability problems scheme. In addition, efficiency (time to complete task) and effectiveness (completeness of retrieved screening procedures) of information retrieval of participants in the expert-driven paper-based guideline and the user-centred prototype CDSS were compared. Usability problems in both the paper-based guideline and the CDSS prototype were mainly classified as 'incongruent with participants' mental model'. The prototype CDSS reduced this type of problem from 17 to 6 problems. The time to perform simple information retrieval tasks increased by 58 s when using the prototype CDSS, however, it resulted in a 58% improvement in task completeness compared to the paper-based guideline. The time to perform complex scenarios decreased by 3:50 min with the prototype CDSS, with 17% higher completeness compared to the paper-based guideline. Analysis showed that usability problems experienced by healthcare practitioners when using a paper-based guideline could be overcome by implementing the guideline in a user-centred CDSS design. Although different types of usability problems were experienced with the prototype CDSS, they did not inhibit effective and efficient performance of tasks in the system. The usability problem analysis of the paper-based guideline effectively supported comparison of usability problems found in the two information retrieval systems and it supported the UCD of the CDSS.

Development and implementation of clinical guidelines: An artificial intelligence perspective

Clinical practice guidelines in paper format are still the preferred form of delivery of medical knowledge and recommendations to healthcare professionals. Their current support and development process have well identified limitations to which the healthcare community has been continuously searching solutions. Artificial intelligence may create the conditions and provide the tools to address many, if not all, of these limitations.. This paper presents a comprehensive and up to date review of computer-interpretable guideline approaches, namely Arden Syntax, GLIF, PROforma, Asbru, GLARE and SAGE. It also provides an assessment of how well these approaches respond to the challenges posed by paper-based guidelines and addresses topics of Artificial intelligence that could provide a solution to the shortcomings of clinical guidelines. Among the topics addressed by this paper are expert systems, case-based reasoning, medical ontologies and reasoning under uncertainty, with a special focus on methodologies for assessing quality of information when managing incomplete information. Finally, an analysis is made of the fundamental requirements of a guideline model and the importance that standard terminologies and models for clinical data have in the semantic and syntactic interoperability between a guideline execution engine and the software tools used in clinical settings. It is also proposed a line of research that includes the development of an ontology for clinical practice guidelines and a decision model for a guideline-based expert system that manages non-compliance with clinical guidelines and uncertainty.

Architecture and services for formalising and evaluating care actions from computer-interpretable guidelines

Computer-interpretable guidelines (CIGs) can be understood as an alternative to deal with the various limitations of paper-based clinical guidelines and to put forward new possibilities for healthcare improvements. The effort spent in evaluating and adapting recommendations described in CIGs can be reduced if formalisation and modularisation of domain knowledge are employed. The approach presented in this paper considers that the content of CIGs and the adaptation rules are two distinct elements that need to be associated at run-time. In a first step, we propose to formalise the recommendations that are presented to healthcare professionals, named here ‘care actions’, in order to produce the set of elements that need to be adapted. In a second step, we exploit the medical background, defining and applying adaptation rules to generate a personalised treatment plan for the patient. The approach was applied to 21 CIGs to identify the potential and limitations of the implemented prototypes.

Ontology modeling for generation of clinical pathways

Purpose: Increasing costs of health care, fuelled by demand for high quality, cost-effective healthcare has drove hospitals to streamline their patient care delivery systems. One such systematic approach is the adaptation of Clinical Pathways (CP) as a tool to increase the quality of healthcare delivery. However, most organizations still rely on are paper-based pathway guidelines or specifications, which have limitations in process management and as a result can influence patient safety outcomes. In this paper, we present a method for generating clinical pathways based on organizational semiotics by capturing knowledge from syntactic, semantic and pragmatic to social level. Design/methodology/approach: The proposed modeling approach to generation of CPs adopts organizational semiotics and enables the generation of semantically rich representation of CP knowledge. Semantic Analysis Method (SAM) is applied to explicitly represent the semantics of the concepts, their relationships and patterns of behavior in terms of an ontology chart. Norm Analysis Method (NAM) is adopted to identify and formally specify patterns of behavior and rules that govern the actions identified on the ontology chart. Information collected during semantic and norm analysis is integrated to guide the generation of CPs using best practice represented in BPMN thus enabling the automation of CP.

An asthma management system in a pediatric emergency department

IntroductionPediatric asthma exacerbations account for >1.8 million emergency department (ED) visits annually. Asthma guidelines are intended to guide time-dependent treatment decisions that improve clinical outcomes; however, guideline adherence is inadequate. We examined whether an automatic disease detection system increases clinicians’ use of paper-based guidelines and decreases time to a disposition decision. MethodsWe evaluated a computerized asthma detection system that triggered NHLBI-adopted, evidence-based practice to improve care in an urban, tertiary care pediatric ED in a 3-month (7/09–9/09) prospective, randomized controlled trial. A probabilistic system screened all ED patients for acute asthma. For intervention patients, the system generated the asthma protocol at triage for intervention patients to guide early treatment initiation, while clinicians followed standard processes for control patients. The primary outcome measures included time to patient disposition. ResultsThe system identified 1100 patients with asthma exacerbations, of which 704 had a final asthma diagnosis determined by a physician-established reference standard. The positive predictive value for the probabilistic system was 65%. The median time to disposition decision did not differ among the intervention (289min; IQR=(184, 375)) and control group (288min; IQR=(185, 375)) (p=0.21). The hospital admission rate was unchanged between intervention (37%) and control groups (35%) (p=0.545). ED length of stay did not differ among the intervention (331min; IQR=(226, 581)) and control group (331min; IQR=(222, 516)) (p=0.568). ConclusionDespite a high level of support from the ED leadership and staff, a focused education effort, and implementation of an automated disease detection, the use of the paper-based asthma protocol remained low and time to patient disposition did not change.

Individualized guidelines for the management of aggression in dementia – Part 2: appraisal of current guidelines

Individualized guidelines have the potential to offer clinicians assistance in decision-making at the point of consultation to improve health outcomes for patients. This project aims to develop individualized guidelines for the management of aggression in dementia. At an earlier stage, we developed a map of concepts to consider when managing aggression. The purpose of the current study is to appraise paper-based guidelines for their representation of these concepts. Two reviewers used a four-point scale (absent, weak, moderate, strong) to rate the guidelines on their representation of concepts relating to the patient, the aggression and dementia disorder, the treatment, and the guidelines themselves. Consensus was reached on inconsistent scores. Sixteen guidelines published since 2005 were evaluated for their representation of 13 key concepts. Pharmacological and non-pharmacological interventions were strongly represented overall in the guidelines, in conjunction with a consideration of the individual characteristics of the patients and their environment. Recommendations based on the presentation of the aggressive symptoms, goals of treatment, and theory of the cause of the aggression were moderately represented in the guidelines. Recommendations for the principles of restraint use and emergency treatment, as well as a consideration of the personal history of the patient, were poorly represented. Only 6 of 16 guidelines gave details of the expected review. Concepts important to the management of aggression in dementia are missing in the majority of published guidelines on dementia. This limits the ability of these tools to guide clinical practice effectively.

Handling expressiveness and comprehensibility requirements in GLIF3.

Clinical guidelines are aimed at standardizing patient care and improving its quality and cost effectiveness. Guidelines represented in a computer-interpretable (CI) format can be used to provide automatic decision support applied to individual patients during the clinical encounter. The process of creating computer-interpretable guidelines (CIG) re-moves ambiguities contained in paper-based guidelines, thus making the guideline more comprehensible. For these reasons, CIGs may have a larger impact on clinician behavior than paper-based guidelines. Since much effort goes into creating guidelines in a CI format, it is desirable that different institutions and software systems share them. In a guideline representation workshop hosted by the InterMed Collaboratory in March 2000, the need for a standard representation format for sharable CIGs was recognized. As a first step towards achieving this goal, we proposed a set of functional requirements for sharable CIGs. The requirements encompass the entire life cycle of a CIG: development, implementation, use and maintenance. In this paper we discuss requirements that are important during the development stage of a CIG. We have abstracted the requirements into two groups: expressiveness--the ability to ex-press the knowledge content of different types of guidelines--and comprehensibility--the ability to manage complexity, facilitate coherence, and visualize a guideline model to aid in human comprehension. The Guideline Interchange For-mat version 3 (GLIF3) is a language for structured representation of CIGs. It is under development to facilitate sharing CIGs among different institutions and systems. We illustrate how GLIF3 meets the specified development requirements.