Effects of health information technology on patient outcomes: a systematic review

[Patient safety hazards resulting from information technology usage in outpatient oncology infusion centers: A prospective analysis of information management]

OBJECTIVES

Thorough management of patient information is crucial in cancer care in order to avoid errors. Clinicians need complete, up-to-date information to be able to develop an adequate mental model of the patient's situation. The aim of the present study was to identify patient safety hazards coming with the use of health information technology (HIT): patient safety hazards in three outpatient oncology infusion centers were assessed and priority topics identified. Additionally, the number of information sources clinicians have to use in order to get an idea of the patient's situation was systematically assessed. Interviews and observations were conducted with one nurse and one doctor of each ambulatory infusion center.

PRINCIPAL RESULTS

Information management-related patient safety hazards were omnipresent in daily care: eleven topics were identified from 125 assessed patient safety hazards. Three of them were particularly relevant to the clinicians' development of an adequate mental model about the patient: patient-related information was not stored in one place but often fragmented in different HIT systems; despite the introduction of HIT, paper documentation remained in place for certain information, making access difficult and increasing the number of relevant sources; the lack of usability of the HIT systems made it difficult to retrieve patient information in a timely manner. Clinicians needed to use between 5 and 11 sources of information to get a more complete picture of a patient's situation.

MAJOR CONCLUSIONS

Overall, it has been shown that the design of the HIT systems is not sufficiently adapted to the work processes and does not support clinicians in being fully informed about a patient. The topics identified point to future system design and areas for improvement. In this process, it is very important to align the real work requirements with the design of the HIT and to evaluate and monitor the actual implementation and use of HIT.

Current challenges in health information technology-related patient safety

We identify and describe nine key, short-term, challenges to help healthcare organizations, health information technology developers, researchers, policymakers, and funders focus their efforts on health information technology-related patient safety. Categorized according to the stage of the health information technology lifecycle where they appear, these challenges relate to (1) developing models, methods, and tools to enable risk assessment; (2) developing standard user interface design features and functions; (3) ensuring the safety of software in an interfaced, network-enabled clinical environment; (4) implementing a method for unambiguous patient identification (1-4 Design and Development stage); (5) developing and implementing decision support which improves safety; (6) identifying practices to safely manage information technology system transitions (5 and 6 Implementation and Use stage); (7) developing real-time methods to enable automated surveillance and monitoring of system performance and safety; (8) establishing the cultural and legal framework/safe harbor to allow sharing information about hazards and adverse events; and (9) developing models and methods for consumers/patients to improve health information technology safety (7-9 Monitoring, Evaluation, and Optimization stage). These challenges represent key "to-do's" that must be completed before we can expect to have safe, reliable, and efficient health information technology-based systems required to care for patients.

Clinical Decision Support Systems for Drug Allergy Checking: Systematic Review

BACKGROUND

Worldwide, the burden of allergies-in particular, drug allergies-is growing. In the process of prescribing, dispensing, or administering a drug, a medication error may occur and can have adverse consequences; for example, a drug may be given to a patient with a documented allergy to that particular drug. Computerized physician order entry (CPOE) systems with built-in clinical decision support systems (CDSS) have the potential to prevent such medication errors and adverse events.

OBJECTIVE

The aim of this review is to provide a comprehensive overview regarding all aspects of CDSS for drug allergy, including documenting, coding, rule bases, alerts and alert fatigue, and outcome evaluation.

METHODS

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed as much as possible and searches were conducted in 5 databases using CPOE, CDSS, alerts, and allergic or allergy as keywords. Bias could not be evaluated according to PRISMA guidelines due to the heterogeneity of study types included in the review.

RESULTS

Of the 3160 articles considered, 60 met the inclusion criteria. A further 9 articles were added based on expert opinion, resulting in a total of 69 articles. An interrater agreement of 90.9% with a reliability Κ=.787 (95% CI 0.686-0.888) was reached. Large heterogeneity across study objectives, study designs, study populations, and reported results was found. Several key findings were identified. Evidence of the usefulness of clinical decision support for drug allergies has been documented. Nevertheless, there are some important problems associated with their use. Accurate and structured documenting of information on drug allergies in electronic health records (EHRs) is difficult, as it is often not clear to healthcare providers how and where to document drug allergies. Besides the underreporting of drug allergies, outdated or inaccurate drug allergy information in EHRs poses an important problem. Research on the use of coding terminologies for documenting drug allergies is sparse. There is no generally accepted standard terminology for structured documentation of allergy information. The final key finding is the consistently reported low specificity of drug allergy alerts. Current systems have high alert override rates of up to 90%, leading to alert fatigue. Important challenges remain for increasing the specificity of drug allergy alerts. We found only one study specifically reporting outcomes related to CDSS for drug allergies. It showed that adverse drug events resulting from overridden drug allergy alerts do not occur frequently.

CONCLUSIONS

Accurate and comprehensive recording of drug allergies is required for good use of CDSS for drug allergy screening. We found considerable variation in the way drug allergy are recorded in EHRs. It remains difficult to reduce drug allergy alert overload while maintaining patient safety as the highest priority. Future research should focus on improving alert specificity, thereby reducing override rates and alert fatigue. Also, the effect on patient outcomes and cost-effectiveness should be evaluated.

Preventable Adverse Drug Events Among Inpatients: A Systematic Review

: media-1vid110.1542/5799876436001PEDS-VA_2018-0805Video Abstract CONTEXT: Patient harm resulting from medication errors drives prevention efforts, yet harm associated with medication errors in children has not been systematically reviewed.

OBJECTIVE

To review the incidence and severity of preventable adverse drug events (pADEs) resulting from medication errors in pediatric inpatient settings.

DATA SOURCES

Data sources included Cumulative Index of Nursing and Allied Health Literature, Medline, Scopus, the Cochrane Library, and Embase.

STUDY SELECTION

Selected studies were published between January 2000 and December 2017, written in the English language, and measured pADEs among pediatric hospital inpatients by chart review or direct observation.

DATA EXTRACTION

Data extracted were medication error and harm definitions, pADE incidence and severity rates, items required for quality assessment, and sample details.

RESULTS

Twenty-two studies were included. For children in general pediatric wards, incidence was at 0 to 17 pADEs per 1000 patient days or 1.3% of medication errors (of any type) compared with 0 to 29 pADEs per 1000 patient days or 1.5% of medication errors in ICUs. Hospital-wide studies contained reports of up to 74 pADEs per 1000 patient days or 2.6% of medication errors. The severity of pADEs was mainly minor.

LIMITATIONS

Limited literature on the severity of pADEs is available. Additional study will better illuminate differences among hospital wards and among those with or without health information technology.

CONCLUSIONS

Medication errors in pediatric settings seldom result in patient harm, and if they do, harm is predominantly of minor severity. Implementing health information technologies was associated with reduced incidence of harm.

Technology Informatics Guiding Education Reform - TIGER

Background: While health informatics recommendations on competencies and education serve as highly desirable corridors for designing curricula and courses, they cannot show how the content should be situated in a specific and local context. Therefore, global and local perspectives need to be reconciled in a common framework.

Objectives: The primary aim of this study is therefore to empirically define and validate a framework of globally accepted core competency areas in health informatics and to enrich this framework with exemplar information derived from local educational settings.

Methods: To this end, (i) a survey was deployed and yielded insights from 43 nursing experts from 21 countries worldwide to measure the relevance of the core competency areas, (ii) a workshop at the International Nursing Informatics Conference (NI2016) held in June 2016 to provide information about the validation and clustering of these areas and (iii) exemplar case studies were compiled to match these findings with the practice. The survey was designed based on a comprehensive compilation of competencies from the international literature in medical and health informatics.

Results: The resulting recommendation framework consists of 24 core competency areas in health informatics defined for five major nursing roles. These areas were clustered in the domains “data, information, knowledge”, “information exchange and information sharing”, “ethical and legal issues”, “systems life cycle management”, “management” and “biostatistics and medical technology”, all of which showed high reliability values. The core competency areas were ranked by relevance and validated by a different group of experts. Exemplar case studies from Brazil, Germany, New Zealand, Taiwan/China, United Kingdom (Scotland) and the United States of America expanded on the competencies described in the core competency areas.

Conclusions: This international recommendation framework for competencies in health informatics directed at nurses provides a grid of knowledge for teachers and learner alike that is instantiated with knowledge about informatics competencies, professional roles, priorities and practical, local experience. It also provides a methodology for developing frameworks for other professions/disciplines. Finally, this framework lays the foundation of cross-country learning in health informatics education for nurses and other health professionals.

Effects of computerized decision support system implementations on patient outcomes in inpatient care: a systematic review

Objectives

To systematically classify the clinical impact of computerized clinical decision support systems (CDSSs) in inpatient care.

Materials and Methods

Medline, Cochrane Trials, and Cochrane Reviews were searched for CDSS studies that assessed patient outcomes in inpatient settings. For each study, 2 physicians independently mapped patient outcome effects to a predefined medical effect score to assess the clinical impact of reported outcome effects. Disagreements were measured by using weighted kappa and solved by consensus. An example set of promising disease entities was generated based on medical effect scores and risk of bias assessment. To summarize technical characteristics of the systems, reported input variables and algorithm types were extracted as well.

Results

Seventy studies were included. Five (7%) reported reduced mortality, 16 (23%) reduced life-threatening events, and 28 (40%) reduced non-life-threatening events, 20 (29%) had no significant impact on patient outcomes, and 1 showed a negative effect (weighted κ: 0.72, P < .001). Six of 24 disease entity settings showed high effect scores with medium or low risk of bias: blood glucose management, blood transfusion management, physiologic deterioration prevention, pressure ulcer prevention, acute kidney injury prevention, and venous thromboembolism prophylaxis. Most of the implemented algorithms (72%) were rule-based. Reported input variables are shared as standardized models on a metadata repository.

Discussion and Conclusion

Most of the included CDSS studies were associated with positive patient outcomes effects but with substantial differences regarding the clinical impact. A subset of 6 disease entities could be filtered in which CDSS should be given special consideration at sites where computer-assisted decision-making is deemed to be underutilized. Registration number on PROSPERO: CRD42016049946.

Supporting the spread of health technology in community services

Health technology has been proposed as a route to financial savings and improved patient safety for many years within the NHS. Nurses have a key role to play in transforming care through such technology but, despite high-level endorsement, implementation of health technology has been uneven across NHS community services. This article looks at three promising applications of health technology in community nursing: mobile access to digital care records; digital imaging; and remote face-to-face consultations. Current evidence for these technologies gives some indication of what is required before health technologies can benefit patients. Rapidly changing health technologies make it difficult for community services to make fully informed decisions when implementing them. There are challenges in predicting the full financial and efficiency impacts, in making robust estimates of costs and workload implications and in anticipating the effects on patient care and staff experience. Despite these problems, there is mounting evidence of the benefits of technological innovations available to community nurses and their patients.

Electronic Fetal Monitoring Documentation: Connecting Points for Quality Care and Communication

Contemporaneous, complete, and objective documentation is the foundation for continuity of patient care and facilitates communication between all levels of healthcare clinicians. The impact of electronic fetal monitoring on obstetric safety has become a high priority, with documentation being essential to evaluating care quality. Over several decades, electronic fetal monitoring documentation has reached a higher level of precision because paper is being replaced with health information technology that incorporates system's features such as checklists, drop-down boxes, and decision analysis. The intent of this article is to provide a synopsis of important concepts regarding electronic fetal monitoring documentation and liability-reduction strategies for perinatal nurses.

Managing the patient safety risks of bottom-up health information technology innovations: Recommendations for healthcare providers

Health information technology (IT) offers exciting opportunities for providing novel services to patients, and for improving the quality and safety of care. Many healthcare professionals are already improving services through the development of numerous bottom-up local health IT innovations. Such innovations from the ground up are to be welcomed, but healthcare providers are struggling to develop processes for managing the risks that come with the introduction of health IT into clinical processes. I argue that too often the main strategy appears to be one of organisational ignorance. This puts patients at risk, and it threatens the successful adoption of health IT. I recommend that healthcare providers focus on strengthening their processes for organisational learning, promoting proactive risk management strategies, and making risk management decisions transparent and explicit.

Problems with health information technology and their effects on care delivery and patient outcomes: a systematic review

Objective

To systematically review studies reporting problems with information technology (IT) in health care and their effects on care delivery and patient outcomes.

Materials and methods

We searched bibliographic databases including Scopus, PubMed, and Science Citation Index Expanded from January 2004 to December 2015 for studies reporting problems with IT and their effects. A framework called the information value chain, which connects technology use to final outcome, was used to assess how IT problems affect user interaction, information receipt, decision-making, care processes, and patient outcomes. The review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement.

Results

Of the 34 studies identified, the majority ( n  = 14, 41%) were analyses of incidents reported from 6 countries. There were 7 descriptive studies, 9 ethnographic studies, and 4 case reports. The types of IT problems were similar to those described in earlier classifications of safety problems associated with health IT. The frequency, scale, and severity of IT problems were not adequately captured within these studies. Use errors and poor user interfaces interfered with the receipt of information and led to errors of commission when making decisions. Clinical errors involving medications were well characterized. Issues with system functionality, including poor user interfaces and fragmented displays, delayed care delivery. Issues with system access, system configuration, and software updates also delayed care. In 18 studies (53%), IT problems were linked to patient harm and death. Near-miss events were reported in 10 studies (29%).

Discussion and conclusion

The research evidence describing problems with health IT remains largely qualitative, and many opportunities remain to systematically study and quantify risks and benefits with regard to patient safety. The information value chain, when used in conjunction with existing classifications for health IT safety problems, can enhance measurement and should facilitate identification of the most significant risks to patient safety.

Are We There Yet? Human Factors Knowledge and Health Information Technology - the Challenges of Implementation and Impact

Objective: To review the developments in human factors (HF) research on the challenges of health information technology (HIT) implementation and impact given the continuing incidence of usability problems and unintended consequences from HIT development and use. Methods: A search of PubMed/Medline and Web of Science® identified HF research published in 2015 and 2016. Electronic health records (EHRs) and patient-centred HIT emerged as significant foci of recent HF research. The authors selected prominent papers highlighting ongoing HF and usability challenges in these areas. This selective rather than systematic review of recent HF research highlights these key challenges and reflects on their implications on the future impact of HF research on HIT. Results: Research provides evidence of continued poor design, implementation, and usability of HIT, as well as technology-induced errors and unintended consequences. The paper highlights support for: (i) strengthening the evidence base on the benefits of HF approaches; (ii) improving knowledge translation in the implementation of HF approaches during HIT design, implementation, and evaluation; (iii) increasing transparency, governance, and enforcement of HF best practices at all stages of the HIT system development life cycle. Discussion and Conclusion: HF and usability approaches are yet to become embedded as integral components of HIT development, implementation, and impact assessment. As HIT becomes ever-more pervasive including with patients as end-users, there is a need to expand our conceptualisation of the problems to be addressed and the suite of tactics and strategies to be used to calibrate our pro-active involvement in its improvement.

Integrating and safeguarding care: The potential role of health information technologies

The increasing burden of chronic diseases is one of the greatest challenges healthcare systems globally are facing. Across the world, compelling demands can be found for a fundamental shift in the organisation of health and social care to meet the needs of chronic patients. Integrated care has gathered momentum to overcome fragmentation of care in order to create care systems which are demand-driven, client-centred and cost-conscious. Health information technology – often referred to as eHealth – is usually considered to be an essential building brick of integrated care. Moreover, health information technology is said to hold potential for improving patient safety in chronic care settings. The current perspective paper explores the role of health information technology in integrating and safeguarding care. We argue that health information technology – which supports integrated care – may create optimal conditions to improve patient safety, but only when well-implemented, state-of-the-art technologies are used.

The experience of physicians in pharmacogenomic clinical decision support within eight German university hospitals

Aim: The aim of this study was to assess the physicians’ attitude, their knowledge and their experience in pharmacogenomic clinical decision support in German hospitals. Materials & methods: We conducted an online survey to address physicians of 13 different medical specialties across eight German university hospitals. In total, 564 returned questionnaires were analyzed. Results: The remaining knowledge gap, the uncertainty of test reimbursement and the physicians’ lack of awareness of existing pharmacogenomic clinical decision support systems (CDSS) are the major barriers for implementing pharmacogenomic CDSS into German hospitals. Furthermore, pharmacogenomic CDSS are most effective in the form of real-time decision support for internists. Conclusion: Physicians in German hospitals require additional education of both genetics and pharmacogenomics. They need to be provided with access to relevant pharmacogenomic CDSS.

Improving Rates of Influenza Vaccination Through Electronic Health Record Portal Messages, Interactive Voice Recognition Calls and Patient-Enabled Electronic Health Record Updates: Protocol for a Randomized Controlled Trial

Background

Clinical decision support (CDS), including computerized reminders for providers and patients, can improve health outcomes. CDS promoting influenza vaccination, delivered directly to patients via an electronic health record (EHR) patient portal and interactive voice recognition (IVR) calls, offers an innovative approach to improving patient care.

Objective

To test the effectiveness of an EHR patient portal and IVR outreach to improve rates of influenza vaccination in a large multispecialty group practice in central Massachusetts.

Methods

We describe a nonblinded, randomized controlled trial of EHR patient portal messages and IVR calls designed to promote influenza vaccination. In our preparatory phase, we conducted qualitative interviews with patients, providers, and staff to inform development of EHR portal messages with embedded questionnaires and IVR call scripts. We also provided practice-wide education on influenza vaccines to all physicians and staff members, including information on existing vaccine-specific EHR CDS. Outreach will target adult patients who remain unvaccinated for more than 2 months after the start of the influenza season. Using computer-generated randomization and a factorial design, we will assign 20,000 patients who are active users of electronic patient portals to one of the 4 study arms: (1) receipt of a portal message promoting influenza vaccines and offering online appointment scheduling; (2) receipt of an IVR call with similar content but without appointment facilitation; (3) both (1) and (2); or (4) neither (1) nor (2) (usual care). We will randomize patients without electronic portals (10,000 patients) to (1) receipt of IVR call or (2) usual care. Both portal messages and IVR calls promote influenza vaccine completion. Our primary outcome is percentage of eligible patients with influenza vaccines administered at our group practice during the 2014-15 influenza season. Both outreach methods also solicit patient self-report on influenza vaccinations completed outside the clinic or on barriers to influenza vaccination. Self-reported data from both outreach modes will be uploaded into the EHR to increase accuracy of existing provider-directed EHR CDS (vaccine alerts).

Results

With our proposed sample size and using a factorial design, power calculations using baseline vaccination rate estimates indicated that 4286 participants per arm would give 80% power to detect a 3% improvement in influenza vaccination rates between groups (α=.05; 2-sided). Intention-to-treat unadjusted chi-square analyses will be performed to assess the impact of portal messages, either alone or in combination with the IVR call, on influenza vaccination rates. The project was funded in January 2014. Patient enrollment for the project described here completed in December 2014. Data analysis is currently under way and first results are expected to be submitted for publication in 2016.

Conclusions

If successful, this study’s intervention may be adapted by other large health care organizations to increase vaccination rates among their eligible patients.

ClinicalTrial

ClinicalTrials.gov NCT02266277; https://clinicaltrials.gov/ct2/show/NCT02266277 (Archived by WebCite at http://www.webcitation.org/6fbLviHLH).