Decision Support Tools: Realizing the Potential to Improve Quality of Care

Comparing a Data Entry Tool to Provider Insights Alone for Assessment of COVID-19 Hospitalization Risk: Pilot Matched Cohort Comparison Study

BACKGROUND

In March 2020, the World Health Organization declared COVID-19 a global pandemic, necessitating an understanding of factors influencing severe disease outcomes. High COVID-19 hospitalization rates underscore the need for robust risk prediction tools to determine estimated risk for future hospitalization for outpatients with COVID-19. We introduced the "COVID-19 Risk Tier Assessment Tool" (CRTAT), designed to enhance clinical decision-making for outpatients.

OBJECTIVE

We investigated whether CRTAT offers more accurate risk tier assignments (RTAs) than medical provider insights alone.

METHODS

We assessed COVID-19-positive patients enrolled at Emory Healthcare's Virtual Outpatient Management Clinic (VOMC)-a telemedicine monitoring program, from May 27 through August 24, 2020-who were not hospitalized at the time of enrollment. The primary analysis included patients from this program, who were later hospitalized due to COVID-19. We retroactively formed an age-, gender-, and risk factor-matched group of nonhospitalized patients for comparison. Data extracted from clinical notes were entered into CRTAT. We used descriptive statistics to compare RTAs reported by algorithm-trained health care providers and those produced by CRTAT.

RESULTS

Our patients were primarily younger than 60 years (67% hospitalized and 71% nonhospitalized). Moderate risk factors were prevalent (hospitalized group: 1 among 11, 52% patients; 2 among 2, 10% patients; and ≥3 among 4, 19% patients; nonhospitalized group: 1 among 11, 52% patients, 2 among 5, 24% patients, and ≥3 among 4, 19% patients). High risk factors were prevalent in approximately 45% (n=19) of the sample (hospitalized group: 11, 52% patients; nonhospitalized: 8, 38% patients). Approximately 83% (n=35) of the sample reported nonspecific symptoms, and the symptoms were generally mild (hospitalized: 12, 57% patients; nonhospitalized: 14, 67% patients). Most patient visits were seen within the first 1-6 days of their illness (n=19, 45%) with symptoms reported as stable over this period (hospitalized: 7, 70% patients; nonhospitalized: 3, 33% patients). Of 42 matched patients (hospitalized: n=21; nonhospitalized: n=21), 26 had identical RTAs and 16 had discrepancies between VOMC providers and CRTAT. Elements that led to different RTAs were as follows: (1) the provider "missed" comorbidity (n=6), (2) the provider noted comorbidity but undercoded risk (n=10), and (3) the provider miscoded symptom severity and course (n=7).

CONCLUSIONS

CRTAT, a point-of-care data entry tool, more accurately categorized patients into risk tiers (particularly those hospitalized), underscored by its ability to identify critical factors in patient history and clinical status. Clinical decision-making regarding patient management, resource allocation, and treatment plans could be enhanced by using similar risk assessment data entry tools for other disease states, such as influenza and community-acquired pneumonia. The COVID-19 pandemic has accelerated the adoption of telemedicine, enabling remote patient tools such as CRTAT. Future research should explore the long-term impact of outpatient clinical risk assessment tools and their contribution to better patient care.

Assessment of the scope, completeness, and consistency of various drug information resources related to COVID-19 medications in pregnancy and lactation

BACKGROUND

Drug use in pregnancy and lactation is challenging. It becomes more challenging in pregnant and lactating women with certain critical clinical conditions such as COVID-19, because of inconsistent drug safety data. Therefore, we aimed to evaluate the various drug information resources for the scope, completeness, and consistency of the information related to COVID-19 medications in pregnancy and lactation.

METHODS

Data related to COVID-19 medications from various drug information resources such as text references, subscription databases, and free online tools were used for the comparison. The congregated data were analyzed for scope, completeness, and consistency.

RESULTS

Scope scores were highest for Portable Electronic Physician Information Database (PEPID), Up-to-date, and drugs.com compared to other resources. The overall completeness scores were higher for Micromedex and drugs.com (p < 0.05 compared to all other resources). The inter-reliability analysis for overall components by Fleiss kappa among all the resources was found to be 'slight' (k < 0.20, p < 0.0001). The information related to the older drugs in most of the resources, provides in-depth details on various components such as pregnancy safety, clinical data related to lactation, the effect of the drug distribution into breast milk, reproductive potential/infertility risk and the pregnancy category/recommendations. However, the information related to these components for newer drugs was superficial and incomplete, with insufficient data and inconclusive evidence, which is a statistically significant observation. The strength of observer agreement for the various COVID-19 medications ranged from poor to fair and moderate for the various recommendation categories studied.

CONCLUSION

This study reports discrepancies in the information related to pregnancy, lactation, drug level, reproductive risk, and pregnancy recommendations among the resources directing to refer to more than one resource for information about the safe and quality use of medications in this special population.The present study also emphasizes the need for development of comprehensive, evidence-based, and precise information guide that can promote safe and effective drug use in this special population.

A Scoping Review of Deep Learning in Cancer Nursing Combined with Augmented Reality: the Era of Intelligent Nursing is Coming

Artificial intelligence has been developing greatly in the field of medicine. As a new research hotspot of artificial intelligence, deep learning (DL) has been widely applied in the fields of cancer risk assessment, symptom recognition, and cancer detection. Therefore, nursing care issues in terms of consuming time and energy, lower accuracy, and lower efficiency can be solved with applying DL in caring cancer patients. In addition, augmented reality (AR) has great navigation potential through combining computer-generated virtual elements with the real world. Thus, DL ​+ ​AR may facilitate patients with cancer to possess a brand-new model of nursing care that is more intelligent, mobile, and adapted to the information age, compared to traditional nursing. With the advent of the era of intelligent nursing, future nursing models can not only learn from the DL ​+ ​AR model to meet the needs of patients with cancer but also reduce nursing workload, save healthcare resources, and improve work efficiency, the quality of nursing care, as well as the quality of life for cancer patients.

Clinical decision support malfunctions related to medication routes: a case series

Objective

To identify common medication route-related causes of clinical decision support (CDS) malfunctions and best practices for avoiding them.

Materials and Methods

Case series of medication route-related CDS malfunctions from diverse healthcare provider organizations.

Results

Nine cases were identified and described, including both false-positive and false-negative alert scenarios. A common cause was the inclusion of nonsystemically available medication routes in value sets (eg, eye drops, ear drops, or topical preparations) when only systemically available routes were appropriate.

Discussion

These value set errors are common, occur across healthcare provider organizations and electronic health record (EHR) systems, affect many different types of medications, and can impact the accuracy of CDS interventions. New knowledge management tools and processes for auditing existing value sets and supporting the creation of new value sets can mitigate many of these issues. Furthermore, value set issues can adversely affect other aspects of the EHR, such as quality reporting and population health management.

Conclusion

Value set issues related to medication routes are widespread and can lead to CDS malfunctions. Organizations should make appropriate investments in knowledge management tools and strategies, such as those outlined in our recommendations.

Leveraging the timing and frequency of patient decision aids in longitudinal shared decision-making: A narrative review and applied model

Introduction

Shared decision‐making (SDM) is intended to increase patient‐centredness of medical decision‐making for patients with acute and chronic conditions. Concurrently, patient decision aids (PtDAs) can supplement SDM by providing information to guide communication between patients and healthcare providers. Because of the prevalence of chronic conditions, where decisions may be extended or recurring, we sought to explore how effectively these tools have been leveraged in this context.

Methods

We conducted a narrative review of the literature on both SDM and PtDAs, searching PubMed and Boston University's library database search tool for English‐language articles published from January 2005 until March 2021. Additional search terms focused on temporality. Drawing from our findings, we developed a combined framework to highlight areas for future research using the discussion of end‐of‐life decisions as an exemplar to illustrate its relevance to chronic care contexts.

Results

After screening 57 articles, we identified 25 articles that fulfilled the inclusion criteria on SDM, PtDA use and temporality for chronic care. The literature on SDM highlighted time outside of the medical visit and opportunity to include outside decision partners as important elements of the process. PtDAs were commonly evaluated for process‐related and proximal outcomes, but less often for distal outcomes. Early evidence points to the value of comparative outcome evaluation based on the timing of PtDA distribution.

Conclusion

Our review of the literature on SDM and PtDAs reveals less attention to the timing of PtDAs relative to that of SDM. We highlight the need for further study of timing in PtDA use to improve longitudinal SDM for chronic care. The model that we propose in our discussion provides a starting point for future research on PtDA efficacy.

Patient or Public Contribution

Five patient consultants provided input and feedback on the development and utility of our model.

Psychometric evaluation of the Decision Support Tool for Functional Independence in community-dwelling older people

Background

The aging population is increasingly faced with daily life limitations, threatening their Functional Independence (FI). These limitations extend different life domains and require a broad range of community-care professionals to be addressed. The Decision Support Tool for Functional Independence (DST-FI) facilitates community-care professionals in providing uncontradictory recommendations regarding the maintenance of FI in community-dwelling older people. The current study aims to determine the validity and reliability of the DST-FI.

Methods

Sixty community-care professionals completed a twofold assessment. To assess construct validity, participants were asked to assign predefined recommendations to fifty cases of older people to maintain their level of FI. Hypotheses were tested regarding the expected recommendations per case. Content validity was assessed by questions on relevance, comprehensiveness, and comprehensibility of the current set of recommendations. Twelve participants repeated the assessment after two weeks to enable both within- and between rater reliability properties, expressed by an Intraclass Correlation Coefficient.

Results

Seven out of eight predefined hypotheses confirmed expectations, indicating high construct validity. As the recommendations were indicated 'relevant' and 'complete', content validity was high as well. Agreement between raters was poor to moderate while agreement within raters was moderate to excellent, resulting in moderate overall reliability.

CONCLUSION

The DST-FI suggests high validity and moderate reliability properties when used in a population of community-dwelling older people. The tool could facilitate community-care professionals in their task to preserve FI in older people. Future research should focus on psychometric properties like feasibility, acceptability, and developing and piloting strategies for implementation in community-care.

A Decision Support Tool for Allogeneic Hematopoietic Stem Cell Transplantation for Children With Sickle Cell Disease: Acceptability and Usability Study

Background

Individuals living with sickle cell disease (SCD) may benefit from a variety of disease-modifying therapies, including hydroxyurea, voxelotor, crizanlizumab, L-glutamine, and chronic blood transfusions. However, allogeneic hematopoietic stem cell transplantation (HCT) remains the only nonexperimental treatment with curative intent. As HCT outcomes can be influenced by the complex interaction of several risk factors, HCT can be a difficult decision for health care providers to make for their patients with SCD.

Objective

The aim of this study is to determine the acceptability and usability of a prototype decision support tool for health care providers in decision-making about HCT for SCD, together with patients and their families.

Methods

On the basis of published transplant registry data, we developed the Sickle Options Decision Support Tool for Children, which provides health care providers with personalized transplant survival and risk estimates for their patients to help them make informed decisions regarding their patients’ management of SCD. To evaluate the tool for its acceptability and usability, we conducted beta tests of the tool and surveys with physicians using the Ottawa Decision Support Framework and mobile health app usability questionnaire, respectively.

Results

According to the mobile health app usability questionnaire survey findings, the overall usability of the tool was high (mean 6.15, SD 0.79; range 4.2-7). According to the Ottawa Decision Support Framework survey findings, acceptability of the presentation of information on the decision support tool was also high (mean 2.94, SD 0.63; range 2-4), but the acceptability regarding the amount of information was mixed (mean 2.59, SD 0.5; range 2-3). Most participants expressed that they would use the tool in their own patient consults (13/15, 87%) and suggested that the tool would ease the decision-making process regarding HCT (8/9, 89%). The 4 major emergent themes from the qualitative analysis of participant beta tests include user interface, data content, usefulness during a patient consult, and potential for a patient-focused decision aid. Most participants supported the idea of a patient-focused decision aid but recommended that it should include more background on HCT and a simplification of medical terminology.

Conclusions

We report the development, acceptability, and usability of a prototype decision support tool app to provide individualized risk and survival estimates to patients interested in HCT in a patient consultation setting. We propose to finalize the tool by validating predictive analytics using a large data set of patients with SCD who have undergone HCT. Such a tool may be useful in promoting physician-patient collaboration in making shared decisions regarding HCT for SCD. Further incorporation of patient-specific measures, including the HCT comorbidity index and the quality of life after transplant, may improve the applicability of the decision support tool in a health care setting.

Strategies for improving guideline adherence of anticoagulants for patients with atrial fibrillation in primary healthcare: A systematic review

BACKGROUND

Clinical guidelines on atrial fibrillation management help optimize the use of oral anticoagulants. However, guideline non-adherence is common, particularly in the primary care setting. The primary aim of this systematic review was to identify effective strategies for improving adherence to guideline-directed thromboprophylaxis to patients with atrial fibrillation in the primary care setting.

METHODS

A search was conducted on 6 electronic databases (Medline, Embase, ScienceDirect, Scopus, the Cumulative Indexing of Nursing and Allied Health Literature, and Web of Science) supplemented by a Google advanced search. Studies aimed at improving oral thromboprophylaxis guideline adherence in patients with atrial fibrillation, in the primary care setting, were included in the study.

RESULTS

A total of 33 studies were included in this review. Nine studies employed electronic decision support (EDS), of which 4 reported modest improvements in guideline adherence. Five of 6 studies that utilized local guidelines as quality improvement measures reported improvement in guideline adherence. All 5 studies that employed coordinated care and the use of specialist support and 4 of the 5 studies that involved pharmacist-led interventions reported improvements in guideline adherence. Interventions based mainly on feedback from audits were less effective.

CONCLUSIONS

Multifaceted interventions, especially those incorporating coordinated care and specialist support, pharmacists, or local adaptations to and implementation of national and/or international guidelines appear to be more consistently effective in improving guideline adherence in the primary care setting than interventions based mainly on EDS and feedback from audits.

Promoting Judicious Primary Care Referral of Patients with Chest Pain to Cardiology: A Quality Improvement Initiative

OBJECTIVE

To decrease referrals to cardiology of patients ages 7 to 21 years with low-probability cardiac pathology who presented to primary care with chest pain by 50% within 24 months.

STUDY DESIGN

A multidisciplinary team designed and implemented an initiative consisting of 1) a decision support tool (DST), 2) educational sessions, 3) routine feedback to improve use of referral criteria, and 4) patient family education. Four pediatric practices, comprising 34 pediatricians and 7 nurse practitioners, were included in this study. We tracked progress via statistical process control charts.

RESULTS

A total of 421 patients ages 7 to 21 years presented with chest pain to their pediatrician. The utilization of the DST increased from baseline of 16% to 68%. Concurrently, the percentage of low-probability cardiology referrals in pediatric patients ages 7 to 21 years who presented with chest pain decreased from 17% to 5% after our interventions. At a median follow-up time of 0.9 years (interquartile range, 0.3-1.6 years), no patient had a life-threatening cardiac event.

CONCLUSION

Our health care improvement initiative to reduce low-probability cardiology referrals for children presenting to primary care practices with chest pain was feasible, effective, and safe.

Enhancing Family-Centered Care in Cardiothoracic Surgery

The psychological impact of critical illness is far reaching, affecting patients and their loved ones. Family members face a multitude of stressors, ranging from concerns about death or permanent disability to stress over health care costs and lost wages. Patients are at risk for developing post-intensive care syndrome. Professional groups and patient safety organizations have crafted family-centered care (FCC) models that support hospitalized patients and their families. There is a paucity of data on use of FCC in cardiothoracic intensive care units. This article discusses FCC models and why they are beneficial to the needs of families of postoperative cardiothoracic surgery patients.

Operational Aspects of a Clinical Decision Support Program

Clinical decision support tools that involve improving test utilization should be jointly overseen by a laboratory stewardship committee and the hospital informatics team. The roles of these groups vary by institution and may overlap. This is a team effort and collaboration is a must. The effectiveness of these efforts in an institution depends on the receptiveness of leadership and providers, as well as the effectiveness of the associated committees. Examples of the challenges and successes of laboratory stewardship interventions that have been operationalized at the Cleveland Clinic that use clinical decision support tools, as well as associated literature, are reviewed.

Sources and Impact of Work-Related Stress Among HIV/AIDS Health Care Providers in Guangxi, China: A Qualitative Research

Work-related stress can negatively impact health care providers' (HCPs) ability to provide care. We examined the sources of work-related stress experienced by HCPs who provided medical care for people living with HIV/AIDS and the impact of the stress on HCPs' well-being and work performance. We conducted in-depth interviews with 46 HIV/AIDS HCPs in Guangxi, China. The interviews were audio-recorded, transcribed, and imported into NVivo V.11 for data management and data analysis using a thematic approach. We found that the key sources of stress at work included general work-related sources and HIV/AIDS-related sources. All stress was seen to have a substantial impact on the HCPs' individual well-being, family and social life, and quality of care they provided. We recommended that government and health care facilities should take measures to improve institutional culture and professional development for HIV/AIDS HCPs. More professional training schemes should be provided to strengthen HCPs' competence, improve universal protection from occupational exposure, and reduce the stigma toward HIV/AIDS patients and their care providers.

Two's company, is three a crowd? Ethical cognition in decision making and the role of industry third parties in pediatric diabetes care

Families of children with diabetes increasingly obtain health information from a variety of sources. Doctor-patient relationships have accordingly become more fluid and dynamic with input from other parties. These outside parties include representatives from the diabetes health care industry-industry third parties (ITPs). This review is an exploration of the ethical principles and cognitive processes involved when doctors and patients negotiate around health care practices and the role of ITPs in that dialogue. Ethical principles of conflicts of interest, beneficence (act in the best interests of the patient), non-maleficence (act so as to do no harm) and justice (act so as to allocate resources fairly or justly) are relevant considerations. Reflexive and analytic thinking and various cognitive biases also play a significant part in clinical decision making. A complex case example is analyzed to highlight a process of ethical cognition in decision making to ensure high-value care and optimal patient outcomes.