Clinical decision support systems in nursing: synthesis of the science for evidence-based practice

Healthcare information management and operational cost performance: empirical evidence

Healthcare knowledge management systems can mitigate hospitals' operational inefficiency. As a healthcare information technology, the electronic health record (EHR) receives much attention from medical institutions due to its considerable impact on operational cost performance. This paper focuses on EHR systems to address operational inefficiency by which patients pay more for health care services, and many U.S. hospitals are filing for bankruptcy. From the theoretical perspective of the practice-based view, this paper introduces a path to implement EHR systems for improving cost performance. The empirical investigation is archival data of 200 hospitals collected from the U.S. healthcare agencies. Findings contribute to prior work by hypothesizing moderating and mediating roles in EHR systems implementation. This paper introduces absorptive capacity and monitoring mechanisms as enablers of implementing EHR systems. The results showed that hospital monitoring strengthens the relationship between absorptive capacity and electronic health record systems implementation, which results in better operational cost performance. Theoretically, this study supports the long-term potential benefits of EHR adoption, and its findings are consistent with optimizing efficiency through data standardization and interoperability. From a practical perspective, this study supports hospitals' investments in evolving healthcare information technology systems through the development of a knowledge-based system employing EHR, particularly when hospitals are merging or need a financial strategic plan to control expenses.

Clinical Decision Support Systems for Palliative Care Management: A Scoping Review

CONTEXT

With the expansion of palliative care services in clinical settings, clinical decision support systems (CDSSs) have become increasingly crucial for assisting bedside nurses and other clinicians in improving the quality of care to patients with life-limiting health conditions.

OBJECTIVES

To characterize palliative care CDSSs and explore end-users' actions taken, adherence recommendations, and clinical decision time.

METHODS

The CINAHL, Embase, and PubMed databases were searched from inception to September 2022. The review was developed following the preferred reporting items for systematic reviews and meta-analyses extension for scoping reviews guidelines. Qualified studies were described in tables and assessed the level of evidence.

RESULTS

A total of 284 abstracts were screened, and 12 studies comprised the final sample. The CDSSs selected focused on identifying patients who could benefit from palliative care based on their health status, making referrals to palliative care services, and managing medications and symptom control. Despite the variability of palliative CDSSs, all studies reported that CDSSs assisted clinicians in becoming more informed about palliative care options leading to better decisions and improved patient outcomes. Seven studies explored the impact of CDSSs on end-user adherence. Three studies revealed high adherence to recommendations while four had low adherence. Lack of feature customization and trust in guideline-based in the initial stages of feasibility and usability testing were evident, limiting the usefulness for nurses and other clinicians.

CONCLUSION

This study demonstrated that implementing palliative care CDSSs can assist nurses and other clinicians in improving the quality of care for palliative patients. The studies' different methodological approaches and variations in palliative CDSSs made it challenging to compare and validate the applicability under which CDSSs are effective. Further research utilizing rigorous methods to evaluate the impact of clinical decision support features and guideline-based actions on clinicians' adherence and efficiency is recommended.

Effects of computerised clinical decision support systems (CDSS) on nursing and allied health professional performance and patient outcomes: a systematic review of experimental and observational studies

OBJECTIVE

Computerised clinical decision support systems (CDSS) are an increasingly important part of nurse and allied health professional (AHP) roles in delivering healthcare. The impact of these technologies on these health professionals' performance and patient outcomes has not been systematically reviewed. We aimed to conduct a systematic review to investigate this.

MATERIALS AND METHODS

The following bibliographic databases and grey literature sources were searched by an experienced Information Professional for published and unpublished research from inception to February 2021 without language restrictions: MEDLINE (Ovid), Embase Classic+Embase (Ovid), PsycINFO (Ovid), HMIC (Ovid), AMED (Allied and Complementary Medicine) (Ovid), CINAHL (EBSCO), Cochrane Central Register of Controlled Trials (Wiley), Cochrane Database of Systematic Reviews (Wiley), Social Sciences Citation Index Expanded (Clarivate), ProQuest Dissertations & Theses Abstracts & Index, ProQuest ASSIA (Applied Social Science Index and Abstract), Clinical Trials.gov, WHO International Clinical Trials Registry (ICTRP), Health Services Research Projects in Progress (HSRProj), OpenClinical(www.OpenClinical.org), OpenGrey (www.opengrey.eu), Health.IT.gov, Agency for Healthcare Research and Quality (www.ahrq.gov). Any comparative research studies comparing CDSS with usual care were eligible for inclusion.

RESULTS

A total of 36 106 non-duplicate records were identified. Of 35 included studies: 28 were randomised trials, three controlled-before-and-after studies, three interrupted-time-series and one non-randomised trial. There were ~1318 health professionals and ~67 595 patient participants in the studies. Most studies focused on nurse decision-makers (71%) or paramedics (5.7%). CDSS as a standalone Personal Computer/LAPTOP-technology was a feature of 88.7% of the studies; only 8.6% of the studies involved 'smart' mobile/handheld-technology.

DISCUSSION

CDSS impacted 38% of the outcome measures used positively. Care processes were better in 47% of the measures adopted; examples included, nurses' adherence to hand disinfection guidance, insulin dosing, on-time blood sampling and documenting care. Patient care outcomes in 40.7% of indicators were better; examples included, lower numbers of falls and pressure ulcers, better glycaemic control, screening of malnutrition and obesity and triaging appropriateness.

CONCLUSION

CDSS may have a positive impact on selected aspects of nurses' and AHPs' performance and care outcomes. However, comparative research is generally low quality, with a wide range of heterogeneous outcomes. After more than 13 years of synthesised research into CDSS in healthcare professions other than medicine, the need for better quality evaluative research remains as pressing.

Clinical Decision Support Systems for Pressure Ulcer Management: Systematic Review

BACKGROUND

The clinical decision-making process in pressure ulcer management is complex, and its quality depends on both the nurse's experience and the availability of scientific knowledge. This process should follow evidence-based practices incorporating health information technologies to assist health care professionals, such as the use of clinical decision support systems. These systems, in addition to increasing the quality of care provided, can reduce errors and costs in health care. However, the widespread use of clinical decision support systems still has limited evidence, indicating the need to identify and evaluate its effects on nursing clinical practice.

OBJECTIVE

The goal of the review was to identify the effects of nurses using clinical decision support systems on clinical decision making for pressure ulcer management.

METHODS

The systematic review was conducted in accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) recommendations. The search was conducted in April 2019 on 5 electronic databases: MEDLINE, SCOPUS, Web of Science, Cochrane, and CINAHL, without publication date or study design restrictions. Articles that addressed the use of computerized clinical decision support systems in pressure ulcer care applied in clinical practice were included. The reference lists of eligible articles were searched manually. The Mixed Methods Appraisal Tool was used to assess the methodological quality of the studies.

RESULTS

The search strategy resulted in 998 articles, 16 of which were included. The year of publication ranged from 1995 to 2017, with 45% of studies conducted in the United States. Most addressed the use of clinical decision support systems by nurses in pressure ulcers prevention in inpatient units. All studies described knowledge-based systems that assessed the effects on clinical decision making, clinical effects secondary to clinical decision support system use, or factors that influenced the use or intention to use clinical decision support systems by health professionals and the success of their implementation in nursing practice.

CONCLUSIONS

The evidence in the available literature about the effects of clinical decision support systems (used by nurses) on decision making for pressure ulcer prevention and treatment is still insufficient. No significant effects were found on nurses' knowledge following the integration of clinical decision support systems into the workflow, with assessments made for a brief period of up to 6 months. Clinical effects, such as outcomes in the incidence and prevalence of pressure ulcers, remain limited in the studies, and most found clinically but nonstatistically significant results in decreasing pressure ulcers. It is necessary to carry out studies that prioritize better adoption and interaction of nurses with clinical decision support systems, as well as studies with a representative sample of health care professionals, randomized study designs, and application of assessment instruments appropriate to the professional and institutional profile. In addition, long-term follow-up is necessary to assess the effects of clinical decision support systems that can demonstrate a more real, measurable, and significant effect on clinical decision making.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42019127663; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=127663.

Electronic Health Records and Use of Clinical Decision Support

In 2009, the Health Information Technology for Economic and Clinical Health (HITECH) Act was signed into law. Along with this initiative came the push for meaningful use of the electronic health record. Clinicians, information technology professionals, and informaticists must partner to create evidence-based clinical decision support models to guide patient care using tools such as structured computerized physician order entry, order sets, templates, alerts, and reminders. Clinical decision support should be used to improve the quality of patient care and compliance with regulatory standards, while inherently following a provider's workflow.

Acceptability of Clinical Decision Support Interface Prototypes for a Nursing Electronic Health Record to Facilitate Supportive Care Outcomes

PURPOSE

To determine the acceptability, usefulness, and ease of use for four nursing clinical decision support interface prototypes.

METHODS

In a simulated hospital environment, 60 registered nurses (48 female; mean age = 33.7 ± 10.8; mean years of experience = 8.1 ± 9.7) participated in a randomized study with four study groups. Measures included acceptability, usefulness, and ease of use scales.

FINDINGS

Mean scores were high for acceptability, usefulness, and the ease of use for all four groups. Inexperienced participants (<1 year) reported higher perceived ease of use (p = .05) and perceived usefulness (p = .01) than those with experience of 1 year or more.

CONCLUSIONS

Participants completed the protocol and reported that all four interfaces, including the control (HANDS), were acceptable, easy to use, and useful.

IMPLICATIONS FOR NURSING KNOWLEDGE

Further study is warranted before clinical implementation within the electronic health record.

Informatics Solutions for Application of Decision-Making Skills

Critical care nurses practice in a challenging environment that requires responses to patients with complex, often unstable health conditions. The electronic health record, access to clinical data, and Clinical Decision Support Systems informed by data from clinical databases are informatics tools designed to work together to facilitate decision-making in nursing practice. The complex decision-making environment of critical care requires informatics tools that support nursing practice through integration of current evidence with clinical data. Recommendations include continuing efforts toward the development of clinical decision support tools based on patient data that include predictive models to support increased patient safety.

Home health nurse decision-making regarding visit intensity planning for newly admitted patients: a qualitative descriptive study

Despite patients referred to home health having diverse and complex needs, it is unknown how nurses develop personalized visit plans. In this qualitative descriptive study, we interviewed 26 nurses from three agencies about their decision-making process to determine visit intensity and analyzed data using directed content analysis. Following a multifactorial assessment of the patient, nurses relied on their experience and their agency's protocols to develop the personalized visit plan. They revised the plan based on changes in the patient's clinical condition, engagement, and caregiver availability. Findings suggest strategies to improve visit planning and positively influence outcomes of home health patients.

Perception of Belgian nurses about evidence-based clinical practice implementation: a focus group study

BACKGROUND/OBJECTIVES

Despite recommendations to integrate evidence-based practice into nursing care, evidence-based nursing (EBN) implementation is generally lacking. Strategies for developing an EBN implementation plan require an evaluation of nurses' needs and expectations. The aim of this study was to evaluate how Belgian nurses perceive EBN.

METHODS

Descriptive qualitative data were obtained via focus groups. Fifty-six nurses took part in the study and were assigned to one of seven focus groups based on their work setting and the local language.

RESULTS

The main results revealed little familiarity with the EBN concept. There were a number of reported barriers to integrating EBN into practice: lack of time; lack of skills needed to find, process, and apply information; lack of support from management; and lack of recognition of the nursing profession.

CONCLUSION

Participants identified four strategies for facilitating EBN development: specific staff dedicated to supporting EBN implementation; an interactive web-based platform to help nurses find, select, and interpret relevant scientific sources; an electronic tool to help nurses in clinical decision-making based on patients' clinical data; and a change in clinical culture to include EBN in decision-making processes.

Advancing beyond the system: telemedicine nurses' clinical reasoning using a computerised decision support system for patients with COPD - an ethnographic study

Background

Telemedicine is changing traditional nursing care, and entails nurses performing advanced and complex care within a new clinical environment, and monitoring patients at a distance. Telemedicine practice requires complex disease management, advocating that the nurses’ reasoning and decision-making processes are supported. Computerised decision support systems are being used increasingly to assist reasoning and decision-making in different situations. However, little research has focused on the clinical reasoning of nurses using a computerised decision support system in a telemedicine setting. Therefore, the objective of the study is to explore the process of telemedicine nurses’ clinical reasoning when using a computerised decision support system for the management of patients with chronic obstructive pulmonary disease. The factors influencing the reasoning and decision-making processes were investigated.

Methods

In this ethnographic study, a combination of data collection methods, including participatory observations, the think-aloud technique, and a focus group interview was employed. Collected data were analysed using qualitative content analysis.

Results

When telemedicine nurses used a computerised decision support system for the management of patients with complex, unstable chronic obstructive pulmonary disease, two categories emerged: “the process of telemedicine nurses’ reasoning to assess health change” and “the influence of the telemedicine setting on nurses’ reasoning and decision-making processes”. An overall theme, termed “advancing beyond the system”, represented the connection between the reasoning processes and the telemedicine work and setting, where being familiar with the patient functioned as a foundation for the nurses’ clinical reasoning process.

Conclusion

In the telemedicine setting, when supported by a computerised decision support system, nurses’ reasoning was enabled by the continuous flow of digital clinical data, regular video-mediated contact and shared decision-making with the patient. These factors fostered an in-depth knowledge of the patients and acted as a foundation for the nurses’ reasoning process. Nurses’ reasoning frequently advanced beyond the computerised decision support system recommendations. Future studies are warranted to develop more accurate algorithms, increase system maturity, and improve the integration of the digital clinical information with clinical experiences, to support telemedicine nurses’ reasoning process.

The Relationship of Genetics, Nursing Practice, and Informatics Tools in 6-Mercaptopurine Dosing in Pediatric Oncology [Formula: see text]

An antileukemic agent prescribed for pediatric oncology patients during the maintenance phase of therapy for acute lymphoblastic leukemia, 6-mercaptopurine (6-MP), is highly influenced by genetic variations in the thiopurine S-methyltransferase enzyme. As such, 6-MP must be dosed so that patients with 1 or 2 inactive thiopurine S-methyltransferase alleles will not incur an increased risk for myelosuppression or other toxicities. Informatics tools such as clinical decision support systems are useful for the application of this and similar pharmacogenetics information to the realm of nursing and clinical practice for safe and effective patient care. This article will discuss pharmacogenetics and the associated use of 6-MP; present implications for nursing practice; identify informatics tools such as clinical decision support systems, which can greatly enhance the care of patients whose treatment is based on critical genetic information; and examine the relationship of genetics, nursing practice, and informatics for 6-MP dosing in pediatric oncology.

Impact of Information and Communication Technologies on Nursing Care: Results of an Overview of Systematic Reviews

Background

Information and communication technologies (ICTs) are becoming an impetus for quality health care delivery by nurses. The use of ICTs by nurses can impact their practice, modifying the ways in which they plan, provide, document, and review clinical care.

Objective

An overview of systematic reviews was conducted to develop a broad picture of the dimensions and indicators of nursing care that have the potential to be influenced by the use of ICTs.

Methods

Quantitative, mixed-method, and qualitative reviews that aimed to evaluate the influence of four eHealth domains (eg, management, computerized decision support systems [CDSSs], communication, and information systems) on nursing care were included. We used the nursing care performance framework (NCPF) as an extraction grid and analytical tool. This model illustrates how the interplay between nursing resources and the nursing services can produce changes in patient conditions. The primary outcomes included nurses’ practice environment, nursing processes, professional satisfaction, and nursing-sensitive outcomes. The secondary outcomes included satisfaction or dissatisfaction with ICTs according to nurses’ and patients’ perspectives. Reviews published in English, French, or Spanish from January 1, 1995 to January 15, 2015, were considered.

Results

A total of 5515 titles or abstracts were assessed for eligibility and full-text papers of 72 articles were retrieved for detailed evaluation. It was found that 22 reviews published between 2002 and 2015 met the eligibility criteria. Many nursing care themes (ie, indicators) were influenced by the use of ICTs, including time management; time spent on patient care; documentation time; information quality and access; quality of documentation; knowledge updating and utilization; nurse autonomy; intra and interprofessional collaboration; nurses’ competencies and skills; nurse-patient relationship; assessment, care planning, and evaluation; teaching of patients and families; communication and care coordination; perspectives of the quality of care provided; nurses and patients satisfaction or dissatisfaction with ICTs; patient comfort and quality of life related to care; empowerment; and functional status.

Conclusions

The findings led to the identification of 19 indicators related to nursing care that are impacted by the use of ICTs. To the best of our knowledge, this was the first attempt to apply NCPF in the ICTs’ context. This broad representation could be kept in mind when it will be the time to plan and to implement emerging ICTs in health care settings.

Trial Registration

PROSPERO International Prospective Register of Systematic Reviews: CRD42014014762; http://www.crd.york.ac.uk/PROSPERO/display_record.asp?ID=CRD42014014762 (Archived by WebCite at http://www.webcitation.org/6pIhMLBZh)

Integrative review of clinical decision support for registered nurses in acute care settings

Objective

To report on the state of the science of clinical decision support (CDS) for hospital bedside nurses.

Materials and Methods

We performed an integrative review of qualitative and quantitative peer-reviewed original research studies using a structured search of PubMed, Embase, Cumulative Index to Nursing and Applied Health Literature (CINAHL), Scopus, Web of Science, and IEEE Xplore (Institute of Electrical and Electronics Engineers Xplore Digital Library). We included articles that reported on CDS targeting bedside nurses and excluded in stages based on rules for titles, abstracts, and full articles. We extracted research design and methods, CDS purpose, electronic health record integration, usability, and process and patient outcomes.

Results

Our search yielded 3157 articles. After removing duplicates and applying exclusion rules, 28 articles met the inclusion criteria. The majority of studies were single-site, descriptive or qualitative (43%) or quasi-experimental (36%). There was only 1 randomized controlled trial. The purpose of most CDS was to support diagnostic decision-making (36%), guideline adherence (32%), medication management (29%), and situational awareness (25%). All the studies that included process outcomes (7) and usability outcomes (4) and also had analytic procedures to detect changes in outcomes demonstrated statistically significant improvements. Three of 4 studies that included patient outcomes and also had analytic procedures to detect change showed statistically significant improvements. No negative effects of CDS were found on process, usability, or patient outcomes.

Discussion and Conclusions

Clinical support systems targeting bedside nurses have positive effects on outcomes and hold promise for improving care quality; however, this research is lagging behind studies of CDS targeting medical decision-making in both volume and level of evidence.

Analysis of Nursing Clinical Decision Support Requests and Strategic Plan in a Large Academic Health System

OBJECTIVES

To understand requests for nursing Clinical Decision Support (CDS) interventions at a large integrated health system undergoing vendor-based EHR implementation. In addition, to establish a process to guide both short-term implementation and long-term strategic goals to meet nursing CDS needs.

MATERIALS AND METHODS

We conducted an environmental scan to understand current state of nursing CDS over three months. The environmental scan consisted of a literature review and an analysis of CDS requests received from across our health system. We identified existing high priority CDS and paper-based tools used in nursing practice at our health system that guide decision-making.

RESULTS

A total of 46 nursing CDS requests were received. Fifty-six percent (n=26) were specific to a clinical specialty; 22 percent (n=10) were focused on facilitating clinical consults in the inpatient setting. "Risk Assessments/Risk Reduction/Promotion of Healthy Habits" (n=23) was the most requested High Priority Category received for nursing CDS. A continuum of types of nursing CDS needs emerged using the Data-Information-Knowledge-Wisdom Conceptual Framework: 1) facilitating data capture, 2) meeting information needs, 3) guiding knowledge-based decision making, and 4) exposing analytics for wisdom-based clinical interpretation by the nurse.

CONCLUSION

Identifying and prioritizing paper-based tools that can be modified into electronic CDS is a challenge. CDS strategy is an evolving process that relies on close collaboration and engagement with clinical sites for short-term implementation and should be incorporated into a long-term strategic plan that can be optimized and achieved overtime. The Data-Information-Knowledge-Wisdom Conceptual Framework in conjunction with the High Priority Categories established may be a useful tool to guide a strategic approach for meeting short-term nursing CDS needs and aligning with the organizational strategic plan.

Effects of computer reminders on complications of peripheral venous catheters and nurses' adherence to a guideline in paediatric care--a cluster randomised study

BACKGROUND

Reminder systems in electronic patient records (EPR) have proven to affect both health care professionals' behaviour and patient outcomes. The aim of this cluster randomised trial was to investigate the effects of implementing a clinical practice guideline (CPG) for peripheral venous catheters (PVCs) in paediatric care in the format of reminders integrated in the EPRs, on PVC-related complications, and on registered nurses' (RNs') self-reported adherence to the guideline. An additional aim was to study the relationship between contextual factors and the outcomes of the intervention.

METHODS

The study involved 12 inpatient units at a paediatric university hospital. The reminders included choice of PVC, hygiene, maintenance, and daily inspection of PVC site. Primary outcome was documented signs and symptoms of PVC-related complications at removal, retrieved from the EPR. Secondary outcome was RNs' adherence to a PVC guideline, collected through a questionnaire that also included RNs' perceived work context, as measured by the Alberta Context Tool. Units were allocated into two strata, based on occurrence of PVCs. A blinded simple draw of lots from each stratum randomised six units to the control and intervention groups, respectively. Units were not blinded. The intervention group included 626 PVCs at baseline and 618 post-intervention and the control group 724 PVCs at baseline and 674 post-intervention. RNs included at baseline were 212 (65.4 %) and 208 (71.5 %) post-intervention.

RESULTS

No significant effect was found for the computer reminders on PVC-related complications nor on RNs' adherence to the guideline recommendations. The complication rate at baseline and post-intervention was 40.6 % (95 % confidence interval (CI) 36.7-44.5) and 41.9 % (95 % CI 38.0-45.8), for the intervention group and 40.3 % (95 % CI 36.8-44.0) and 46.9 % (95 % CI 43.1-50.7) for the control. In general, RNs' self-rated work context varied from moderately low to moderately high, indicating that conditions for a successful implementation to occur were less optimal.

CONCLUSIONS

The reminders might have benefitted from being accompanied by a tailored intervention that targeted specific barriers, such as the low frequency of recorded reasons for removal, the low adherence to daily inspection of PVC sites, and the lack of regular feedback to the RNs.

TRIAL REGISTRATION

Current Controlled Trials ISRCTN44819426.

Development and Implementation of the Clinical Decision Support System for Patients With Cancer and Nurses' Experiences Regarding the System

PURPOSE

The purpose of this study was to develop and implement the clinical decision support system (CDSS) for oncology nurses in the care of patients with cancer and to explore the nurses' experiences about the system.

METHODS

The study was conducted using a mixed-methods research design with 14 nurses working at a gynecological oncology clinic at a university hospital in Turkey.

FINDINGS

The nurses stated that they did not experience any problems during the implementation of the CDSS, and its usage facilitated the assessment of patients' needs and care management.

CONCLUSIONS

The results indicated that the CDSS supported the nurses' decision-making process about patients' needs and preparation of individual care plans.

PRACTICE IMPLICATIONS

The CDSS should be developed and implemented by the nurses working with patients with cancer. AMAÇ: Amaç kanser hastalarının bakımına yönelik klinik karar destek sistemi oluşturmak, uygulamak (KKDS) ve sistemi kullanan hemşirelerin deneyimlerini incelemektir. YÖNTEM: Çalışma kalitatif ve kantitatif araştırma yöntemleri kullanılarak Türkiyede'ki bir üniversite hastanesinin jinekolojik onkoloji servisinde çalışan 14 hemşire ile yürütülmüştür.

BULGULAR

Hemşireler KKDS'ni kullanırken herhangi bir sorun yaşamadıklarını ve sistemin hasta gereksinimlerini değerlendirmeyi ve bakım yönetimini kolaylaştırdığını belirtmişlerdir. SONUÇ: Bulgular hastanın gereksinimlerine karar verme sürecinde ve bireysel bakım planları hazırlamada KKDS'nin hemşireleri desteklediğini göstermektedir. HEMŞIRELIK UYGULAMALARI IÇIN ÖNERILER: Kanserli hastaların bakımına yönelik KKDS geliştirilebilir ve hemşireler tarafından klinikte kullanılabilir.

Considerations for a successful clinical decision support system

Clinical decision support systems have the potential to improve patient care in a multitude of ways. Clinical decision support systems can aid in the reduction of medical errors and reduction in adverse drug events, ensure comprehensive treatment of patient illnesses and conditions, encourage the adherence to guidelines, shorten patient length of stay, and decrease expenses over time. A clinical decision support system is one of the key components for reaching compliance for Meaningful Use. In this article, the advantages, potential drawbacks, and clinical decision support system adoption barriers are discussed, followed by an in-depth review of the characteristics that make a clinical decision support system successful. The legal and ethical issues that come with the implementation of a clinical decision support system within an organization and the future expectations of clinical decision support system are reviewed.

Factors of accepting pain management decision support systems by nurse anesthetists

BACKGROUND

Pain management is a critical but complex issue for the relief of acute pain, particularly for postoperative pain and severe pain in cancer patients. It also plays important roles in promoting quality of care. The introduction of pain management decision support systems (PM-DSS) is considered a potential solution for addressing the complex problems encountered in pain management. This study aims to investigate factors affecting acceptance of PM-DSS from a nurse anesthetist perspective.

METHODS

A questionnaire survey was conducted to collect data from nurse anesthetists in a case hospital. A total of 113 questionnaires were distributed, and 101 complete copies were returned, indicating a valid response rate of 89.3%. Collected data were analyzed by structure equation modeling using the partial least square tool.

RESULTS

The results show that perceived information quality (γ=.451, p<.001), computer self-efficacy (γ=.315, p<.01), and organizational structure (γ=.210, p<.05), both significantly impact nurse anesthetists' perceived usefulness of PM-DSS. Information quality (γ=.267, p<.05) significantly impacts nurse anesthetists' perceptions of PM-DSS ease of use. Furthermore, both perceived ease of use (β=.436, p<.001, R(2)=.487) and perceived usefulness (β=.443, p<.001, R(2)=.646) significantly affected nurse anesthetists' PM-DSS acceptance (R2=.640). Thus, the critical role of information quality in the development of clinical decision support system is demonstrated.

CONCLUSIONS

The findings of this study enable hospital managers to understand the important considerations for nurse anesthetists in accepting PM-DSS, particularly for the issues related to the improvement of information quality, perceived usefulness and perceived ease of use of the system. In addition, the results also provide useful suggestions for designers and implementers of PM-DSS in improving system development.

An evaluation of the usability of a computerized decision support system for nursing homes

BACKGROUND

Computerized decision support systems (CDSSs) have the potential to significantly improve the quality of nursing care of older people by enhancing the decision making of nursing personnel. Despite this potential, health care organizations have been slow to incorporate CDSSs into nursing home practices.

OBJECTIVE

This study describes facilitators and barriers that impact the ability of nursing personnel to effectively use a clinical CDSS for planning and treating pressure ulcers (PUs) and malnutrition and for following the suggested risk assessment guidelines for the care of nursing home residents.

METHODS

We employed a qualitative descriptive design using varied methods, including structured group interviews, cognitive walkthrough observations and a graphical user interface (GUI) usability evaluation. Group interviews were conducted with 25 nursing personnel from four nursing homes in southern Norway. Five nursing personnel participated in cognitive walkthrough observations and the GUI usability evaluation. Text transcripts were analyzed using qualitative content analysis.

RESULTS

Group interview participants reported that ease of use, usefulness and a supportive work environment were key facilitators of CDSS use. The barriers identified were lack of training, resistance to using computers and limited integration of the CDSS with the facility's electronic health record (EHR) system. Key findings from the usability evaluation also identified the difficulty of using the CDSS within the EHR and the poorly designed GUI integration as barriers.

CONCLUSION

Overall, we found disconnect between two types of nursing personnel. Those who were comfortable with computer technology reported positive feedback about the CDSS, while others expressed resistance to using the CDSS for various reasons. This study revealed that organizations must invest more resources in educating nursing personnel on the seriousness of PUs and poor nutrition in the elderly, providing specialized CDSS training and ensuring that nursing personnel have time in the workday to use the CDSS.

Effects of a computerized decision support system on pressure ulcers and malnutrition in nursing homes for the elderly

BACKGROUND

Computerized decision support systems (CDSSs) have been shown to help health care professionals to avoid errors and improve clinical practice and efficiency in health care. Little is known about its influence on nursing practice and outcomes for residents in nursing homes.

AIM

The aim of this study was to evaluate the effects on the risk for and prevalence of pressure ulcers (PUs) and malnutrition of implementing a CDSS to improve prevention and care of PUs and also to improve nutrition in the elderly in nursing homes.

DESIGN SETTING AND PARTICIPANTS

The study used a quasi-experimental design with two intervention groups and one control group. A convenience sample of residents from 46 units in 15 nursing homes in rural areas in Norway was included. A total of 491 residents participated at baseline in 2007 and 480 residents at follow-up in 2009.

METHODS

The intervention included educational sessions in prevention of PUs and malnutrition for registered nurses (RNs) and nursing aides (NAs) in the two intervention groups. In addition, one intervention group (intervention group 1) had a CDSS integrated into the electronic healthcare record (EHR) based on two research-based risk assessment instruments: the Risk Assessment Pressure Scale (RAPS) for PU risk screening and the Mini Nutritional Assessment (MNA(®)) scale for screening nutritional status. In each participating nursing home trained RNs and NAs examined all residents who consented to participate on the RAPS and the MNA(®) scale. This examination included a skin assessment and details about PUs were collected.

RESULTS

The proportion of malnourished residents decreased significantly in intervention group 1 between the two data collection periods (2007 and 2009). No other significant effects of the CDSS on resident outcomes based on the RAPS and MNA(®) scores were found.

CONCLUSION

CDSSs used by RNs and NAs in nursing homes are still largely unexplored. A CDSS can be incorporated into the EHR to increase the meaningful use of these computerized systems in nursing home care. The effects of CDSS on healthcare provider workflow, clinical decision making and communication about preventive measures in nursing home practice still need further exploration. Based on results from our study, recommendations would be to increase both sample size and the number of RNs and NAs who participate in CDSS education programs.

Electronic Medical Records, Nurse Staffing, and Nurse-Sensitive Patient Outcomes: Evidence From the National Database of Nursing Quality Indicators

Electronic medical records (EMR) have the potential to improve nursing care in the hospital setting. This study estimated the association of EMR implementation with nurse staffing levels, skill mix, contract/agency percent, and nurse-sensitive patient outcomes in U.S. hospitals. Data on nurse staffing and patient outcomes came from the 2004-2008 National Database of Nursing Quality Indicators. Data on EMR implementation came from the 2004-2008 HIMSS Analytics Database. The authors conducted a longitudinal analysis of an unbalanced panel of 3,048 medical/surgical units in 509 short-term, general acute care hospitals. EMR implementation was associated with lower total nurse hours per patient day, higher Registered Nurse percent and contract/agency percent, and higher adverse patient events in the short term. EMR may create a skill bias toward higher-skilled nurses. As more advanced EMR systems diffuse into practice, managers and policy makers should consider potential negative associations of EMR implementation with patient safety.

Electronic medical records, nurse staffing, and nurse-sensitive patient outcomes: evidence from California hospitals, 1998-2007

OBJECTIVE

To estimate the effects of electronic medical records (EMR) implementation on medical-surgical acute unit costs, length of stay, nurse staffing levels, nursing skill mix, nurse cost per hour, and nurse-sensitive patient outcomes.

DATA SOURCES

Data on EMR implementation came from the 1998-2007 HIMSS Analytics Databases. Data on nurse staffing and patient outcomes came from the 1998-2007 Annual Financial Disclosure Reports and Patient Discharge Databases of the California Office of Statewide Health Planning and Development (OSHPD).

METHODS

Longitudinal analysis of an unbalanced panel of 326 short-term, general acute care hospitals in California. Marginal effects estimated using fixed effects (within-hospital) OLS regression.

PRINCIPAL FINDINGS

EMR implementation was associated with 6-10 percent higher cost per discharge in medical-surgical acute units. EMR stage 2 increased registered nurse hours per patient day by 15-26 percent and reduced licensed vocational nurse cost per hour by 2-4 percent. EMR stage 3 was associated with 3-4 percent lower rates of in-hospital mortality for conditions.

CONCLUSIONS

Our results suggest that advanced EMR applications may increase hospital costs and nurse staffing levels, as well as increase complications and decrease mortality for some conditions. Contrary to expectation, we found no support for the proposition that EMR reduced length of stay or decreased the demand for nurses.

Implementation of the enteral nutrition practice recommendations

In developing the evidence-based Enteral Nutrition Practice Recommendations, the American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.) formed a task force to address the many aspects of safety in the delivery and provision of enteral nutrition support. This recently published document provides healthcare professionals with recommendations that are derived from evidence-based practice. The development and use of clinical practice guidelines (CPGs) is a recent, significant contribution for the dissemination of evidence-based medicine. This involves the review of scientific literature along with clinical skill and knowledge to generate specific recommendations assisting healthcare providers and patients with decisions regarding appropriate healthcare. A primary opportunity to improve patient outcomes will come from the effective delivery of existing therapies rather than from the new development of treatment modalities. Compliance with CPGs is challenging because it depends on a variety of factors. Both general and specific strategies have been devised with the expansion of the new discipline of implementation science. The high degree of evidence now available in medicine gives clinicians more opportunity to improve patient outcomes and quality of care. It remains for clinicians to evaluate their institutional mission and goals, and to investigate those CPGs appropriate to improve patient care in that setting.