The Impact of IT-Enabled and Team Relational Coordination on Patient Satisfaction

Abstract The 2009 American Recovery and Reinvestment Act has earmarked 27 billion dollars to promote the adoption of Health Information Technologies (HIT) in the US, and to gain access to these funds, providers must document “Meaningful Use” during the care process. While individual HIT use according to lean measures, including meaningful use, is prevalent in the IS literature, few studies have incorporated rich measures to account for the task, the technology, and the user in a team context. This dissertation conceptualizes Team Deep Structure Use of Computerized Provider Order Entry (CPOE) as an IT- enabled coordination mechanism, and Relational Coordination as the inherent ability of clinical teams to coordinate care spontaneously using informal, relationship based mechanisms. IT-enabled and Relational Coordination mechanisms are each evaluated across five maximally different patient conditions to simultaneously examine their impact on our outcome measure, Patient Satisfaction with the clinical care team. The extant literature has established a deep understanding of IT adoption shortly after implementation, yet the literature is silent on the antecedents of IT use according to rich measures well after the shake down phase, a period in which the majority of organizations operate. We incorporate the Adaptive Structuration Theory (AST) constructs of Faithfulness of Appropriation, and Consensus on Appropriation as the focal antecedents of Deep Structure Use of the clinical system by team members. To our knowledge, no prior research has linked these two AST constructs to clinical outcomes through the incorporation of a rich use mediator such as Deep Structure Use of a Health IT. To test our model, we relied on survey responses from 555 physicians, nurses and mid-levels which had cared for 261 patients across five patient conditions, ranging from vaginal birth, to organ transplant, as well as pneumonia, knee/hip replacement and cardiovascular surgery. Our results confirm that the Adaptive Structuration constructs of Faithfulness of Appropriation and Consensus on Appropriation, generate positive and statistically significant path coefficients predicting Team Deep Structure Use of CPOE. We also report differential effects on Patient Satisfaction with the care team resulting from technology use. Results range from a significant positive path coefficient (.285) associated with higher Team Deep Structure Use on combined Pneumonia and Organ Transplant teams, to a significant negative path coefficient (-.174) on cardiovascular surgery teams. As expected, Pneumonia, Organ Transplant and Cardiovascular Surgery teams all reported positive effects on Patient Satisfaction with the care team as a result of higher Relational Coordination scores. For teams caring for patient conditions consistently associated with a shorter length of stay, including vaginal birth and knee/hip replacement, higher reported use of IT- enabled, or Relational Coordination mechanisms, did not result in a significant increase in Patient Satisfaction. This dissertation contributes to the growing Health IT literature, and has practical implications for clinicians, hospital administrators and Health IT professionals. This dissertation is the first to operationalize a rich measure of use of an HIT by clinical teams, and to simultaneously measure the impact of IT enabled and Relational Coordination mechanisms on Patient Satisfaction. Secondly, through the introduction of Adaptive Structuration constructs, our model establishes a methodology for predicting rich, nuanced use in teams well after the initial shake down phase associated with recent HIT implementation. Through the juxtaposition of the impact of IT-enabled and Relational Coordination mechanisms across patient conditions, practitioners can design interventions and adjust the level of resources applied to process improvement accordingly

Reducing medication errors for adults in hospital settings

Adulto; Errores de medicación; FarmacéuticosAdult; Medication errors; PharmacistsAdult; Errors de medicació; FarmacèuticsBackground: Medication errors are preventable events that may cause or lead to inappropriate medication use or patient harm while the medication is in the control of the healthcare professional or patient. Medication errors in hospitalised adults may cause harm, additional costs, and even death. Objectives: To determine the effectiveness of interventions to reduce medication errors in adults in hospital settings

Preconceived Physician Attitude Toward Computerized Physician Order Entry (CPOE): Implications for Successful Implementation

There has been a societal and legislative push to implement computerized physician order entry (CPOE) systems throughout hospitals nationally in recent years due in large part to the public\u27s awareness of an inordinate number of patient deaths due to medication errors in hospital settings. This mortality, and untold morbidity, became even more unacceptable when published findings suggested the majority of these 100,000 deaths each year could be avoided through the use of CPOE systems. Yet acceptance has been slow and only a fraction of the hospitals have implemented this technology due to large start up costs, enormous technological requirements, and prior well-published failures of such attempts largely due to physicians\u27 lack of acceptance. A total of71 participants were surveyed whose daily responsibility involved the ordering of medications, to determine what attitudes they had concerning CPOE systems. This was done at a facility scheduled to implement such a system over the next year. The data showed evidence supporting many of the current implementation strategies, while suggesting modification of others. Based on these findings, recommendations are made for future implementations with the hope of gaining enhanced physician acceptance and adoption, facilitating a more successful implementation of CPOE systems

Reducing medication errors for adults in hospital settings

Background: Medication errors are preventable events that may cause or lead to inappropriate medication use or patient harm while the medication is in the control of the healthcare professional or patient. Medication errors in hospitalised adults may cause harm, additional costs, and even death. Objectives: To determine the effectiveness of interventions to reduce medication errors in adults in hospital settings. Search methods: We searched CENTRAL, MEDLINE, Embase, five other databases and two trials registers on 16 January 2020. Selection criteria: We included randomised controlled trials (RCTs) and interrupted time series (ITS) studies investigating interventions aimed at reducing medication errors in hospitalised adults, compared with usual care or other interventions. Outcome measures included adverse drug events (ADEs), potential ADEs, preventable ADEs, medication errors, mortality, morbidity, length of stay, quality of life and identified/solved discrepancies. We included any hospital setting, such as inpatient care units, outpatient care settings, and accident and emergency departments. Data collection and analysis: We followed the standard methodological procedures expected by Cochrane and the Effective Practice and Organisation of Care (EPOC) Group. Where necessary, we extracted and reanalysed ITS study data using piecewise linear regression, corrected for autocorrelation and seasonality, where possible. Main results: We included 65 studies: 51 RCTs and 14 ITS studies, involving 110,875 participants. About half of trials gave rise to 'some concerns' for risk of bias during the randomisation process and one-third lacked blinding of outcome assessment. Most ITS studies presented low risk of bias. Most studies came from high-income countries or high-resource settings. Medication reconciliation –the process of comparing a patient's medication orders to the medications that the patient has been taking– was the most common type of intervention studied. Electronic prescribing systems, barcoding for correct administering of medications, organisational changes, feedback on medication errors, education of professionals and improved medication dispensing systems were other interventions studied. Medication reconciliation. Low-certainty evidence suggests that medication reconciliation (MR) versus no-MR may reduce medication errors (odds ratio [OR] 0.55, 95% confidence interval (CI) 0.17 to 1.74; 3 studies; n=379). Compared to no-MR, MR probably reduces ADEs (OR 0.38, 95%CI 0.18 to 0.80; 3 studies, n=1336; moderate-certainty evidence), but has little to no effect on length of stay (mean difference (MD) -0.30 days, 95%CI -1.93 to 1.33 days; 3 studies, n=527) and quality of life (MD -1.51, 95%CI -10.04 to 7.02; 1 study, n=131). Low-certainty evidence suggests that, compared to MR by other professionals, MR by pharmacists may reduce medication errors (OR 0.21, 95%CI 0.09 to 0.48; 8 studies, n=2648) and may increase ADEs (OR 1.34, 95%CI 0.73 to 2.44; 3 studies, n=2873). Compared to MR by other professionals, MR by pharmacists may have little to no effect on length of stay (MD -0.25, 95%CI -1.05 to 0.56; 6 studies, 3983). Moderate-certainty evidence shows that this intervention probably has little to no effect on mortality during hospitalisation (risk ratio (RR) 0.99, 95%CI 0.57 to 1.7; 2 studies, n=1000), and on readmissions at one month (RR 0.93, 95%CI 0.76 to 1.14; 2 studies, n=997); and low-certainty evidence suggests that the intervention may have little to no effect on quality of life (MD 0.00, 95%CI -14.09 to 14.09; 1 study, n=724). Low-certainty evidence suggests that database-assisted MR conducted by pharmacists, versus unassisted MR conducted by pharmacists, may reduce potential ADEs (OR 0.26, 95%CI 0.10 to 0.64; 2 studies, n=3326), and may have no effect on length of stay (MD 1.00, 95%CI -0.17 to 2.17; 1 study, n=311). Low-certainty evidence suggests that MR performed by trained pharmacist technicians, versus pharmacists, may have little to no difference on length of stay (MD -0.30, 95%CI -2.12 to 1.52; 1 study, n=183). However, the CI is compatible with important beneficial and detrimental effects. Low-certainty evidence suggests that MR before admission may increase the identification of discrepancies compared with MR after admission (MD 1.27, 95%CI 0.46 to 2.08; 1 study, n=307). However, the CI is compatible with important beneficial and detrimental effects. Moderate-certainty evidence shows that multimodal interventions probably increase discrepancy resolutions compared to usual care (RR 2.14, 95%CI 1.81 to 2.53; 1 study, n=487). Computerised physician order entry (CPOE)/clinical decision support systems (CDSS). Moderate-certainty evidence shows that CPOE/CDSS probably reduce medication errors compared to paper-based systems (OR 0.74, 95%CI 0.31 to 1.79; 2 studies, n=88). Moderate-certainty evidence shows that, compared with standard CPOE/CDSS, improved CPOE/CDSS probably reduce medication errors (OR 0.85, 95%CI 0.74 to 0.97; 2 studies, n=630). Low-certainty evidence suggests that prioritised alerts provided by CPOE/CDSS may prevent ADEs compared to non-prioritised (inconsequential) alerts (MD 1.98, 95%CI 1.65 to 2.31; 1 study; participant numbers unavailable). Barcode identification of participants/medications. Low-certainty evidence suggests that barcoding may reduce medication errors (OR 0.69, 95%CI 0.59 to 0.79; 2 studies, n=50,545). Reduced working hours. Low-certainty evidence suggests that reduced working hours may reduce serious medication errors (RR 0.83, 95%CI 0.63 to 1.09; 1 study, n=634). However, the CI is compatible with important beneficial and detrimental effects. Feedback on prescribing errors. Low-certainty evidence suggests that feedback on prescribing errors may reduce medication errors (OR 0.47, 95%CI 0.33 to 0.67; 4 studies, n=384). Dispensing system. Low-certainty evidence suggests that dispensing systems in surgical wards may reduce medication errors (OR 0.61, 95%CI 0.47 to 0.79; 2 studies, n=1775). Authors' conclusions: Low- to moderate-certainty evidence suggests that, compared to usual care, medication reconciliation, CPOE/CDSS, barcoding, feedback and dispensing systems in surgical wards may reduce medication errors and ADEs. However, the results are imprecise for some outcomes related to medication reconciliation and CPOE/CDSS. The evidence for other interventions is very uncertain. Powered and methodologically sound studies are needed to address the identified evidence gaps. Innovative, synergistic strategies –including those that involve patients– should also be evaluated.Fil: Ciapponi, Agustín. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; ArgentinaFil: Fernandez Nievas, Simon E. No especifíca;Fil: Seijo, Mariana. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Inmunología, Genética y Metabolismo. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Inmunología, Genética y Metabolismo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; ArgentinaFil: Rodriguez, Maria Belén. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; ArgentinaFil: Vietto, Valeria. Instituto Universidad Escuela de Medicina del Hospital Italiano; ArgentinaFil: García Perdomo, Herney A.. Universidad del Valle; ColombiaFil: Virgilio, Sacha. No especifíca;Fil: Fajreldines, Ana V.. Universidad Austral; ArgentinaFil: Tost, Josep. No especifíca;Fil: Rose, Christopher J.. No especifíca;Fil: Garcia Elorrio, Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; Argentin

Comparison of the effectiveness of traditional nursing medication administration with the Color Coding Kids system in a sample of undergraduate nursing students

The problem of medication errors in hospitals and the vulnerability of pediatric patients to adverse drug events (ADE) was investigated and well substantiated. The estimated additional cost of inpatient care for ADE’s in the hospital setting alone was conservatively estimated at an annual rate per incident of 400,000 preventable events each incurring an extra cost of approximately $5,857. The purpose of the researcher was to compare the effectiveness of traditional nursing medication administration with the Color Coding Kids (CCK) system (developed by Broselow and Luten for standardizing dosages) to reduce pediatric medication errors. A simulated pediatric rapid response scenario was used in a randomized clinical study to measure the effects of the CCK system to the traditional method of treatment using last semester nursing students. Safe medication administration, workflow turnaround time and hand-off communication were variables studied. A multivariate analysis of variance was used to reveal a significant difference between the groups on safe medication administration. No significant difference between the groups on time and communication was found. The researcher provides substantial evidence that the CCK system of medication administration is a promising technological breakthrough in the prevention of pediatric medication errors

Exploring How Healthcare Information Technology Use Impacts the Quality of Care: A Process Perspective

Although the impacts of healthcare information technology (HIT) on care quality are widely studied, existing research presents mixed findings and little is known about its underlying mechanism. In this ongoing study, an insight is given from a process perspective. Based on the theory of swift and even flow (TSEF), we investigate how HIT use impacts the quality of care by affecting continuity of care and how such impacts depend on patient demand level. By using digital trace data from cerebrovascular disease inpatients from a hospital in China, we measure continuity of care and conduct an empirical test through econometric models. Our findings show that HIT will improve continuity of care, and then improve quality of care. And this effect is more pronounced at a high patient demand level. This study integrates and extends the literature, and provides guidance for managers to improve care and deliver the value of HIT efficiently

Association of Electronic Health Records with Methicillin-Resistant Staphylococcus aureus Infection in a National Sample

This study examined the relationship between advanced electronic health record (EHR) use in hospitals and rates of Methicillin-resistant Staphylococcus aureus (MRSA) infection in an inpatient setting. National Inpatient Sample (NIS) and Health Information Management Systems Society (HIMSS) Annual Survey are combined in the retrospective, cross-sectional analysis. A twenty percent simple random sample of the combined 2009 NIS and HIMSS datasets included a total of 1,032,905 patient cases of MRSA in 550 hospitals. Results of the propensity-adjusted logistic regression model revealed a statistically significant association between advanced EHR and MRSA, with patient cases from an advanced EHR being less likely to report a MRSA diagnosis code

체계적 문헌고찰과 메타분석을 통한 전산처방자동화시스템과 관련된 처방오류 평가 연구

학위논문 (석사) -- 서울대학교 대학원 : 약학대학 약학과, 2020. 8. 김은경.Computerized Physician Order Entry (CPOE) systems and Clinical Decision Support Systems (CDSS) have been proven to contribute to improve patients safety and quality of care; however, the adoption of computerization introduced a new type of error, called system-related or technology-induced errors. A comprehensive evaluation regarding the prevalence of CPOE-related errors (CRE) is lacking. The aim of this study was to describe the prevalence of CRE evaluated by pharmacists and to evaluate the association between the introduction of CPOE and prescribing errors. A systematic review and meta-analysis were conducted of studies retrieved from the MEDLINE, Embase, Cochrane, and Scopus up to March 2020. All studies reporting the rate of prescribing errors related to CPOE were included. The prevalence of CRE among overall prescribing errors occurred in the hospitals was estimated using pooled prevalence estimate with a 95% confidence interval (CI) and relative risk (RR) was calculated for the subgroup analysis. A total of 14 studies were identified and included in the systematic review and meta-analysis. In the meta-analysis of 13 data of estimate, the overall pooled prevalence of CRE across studies were 32.36% (95% CI 22.87 – 42.62). Among the 6 types of error identified throughout the studies: omission, wrong drug, wrong dose, wrong route/form, wrong time, and monitoring error, the main type of error related to CPOE were wrong dose (47.28%, 95% CI 38.38-56.26), followed by wrong drug (14.45%, 95% CI 7.96-22.40). The subgroup analysis revealed that the risk of error was not significantly reduced with CPOE (RR 0.842, 95% CI 0.559 – 1.268), except omission which was significantly reduced after the implementation of CPOE (RR 0.484, 95% CI 0.282 – 0.831). Our study findings support that system-related errors were a major reason for CPOE not delivering a significant reduction in the overall rate of clinical errors. A considerable risk for prescribing errors still exists, which healthcare professionals should be aware that CPOE could also lead to a new type of medication errors. In order to reduce the prescribing error related to CPOE, the system should be continually examined and users should receive periodic and multidisciplinary training on the use of CPOE and CDSS.처방자동화시스템(Computerized Physician Order Entry, CPOE)과 임상의사결정지원시스템(Clinical Decision Support System)의 활성화로 전체적인 처방오류의 비율은 감소하였지만, CPOE와 같은 새로운 시스템으로 인하여 새로운 오류가 출현되었다. 본 연구는 원내 CPOE와 관련된 약물 처방오류 중 약사가 평가한 처방오류의 발생률과 CPOE 도입 전후 오류유형의 변화를 파악하고자 선행연구들을 대상으로 체계적 문헌고찰과 메타분석을 수행하였다. PubMed, EMBASE, Cochrane Register of Controlled Trials, Scopus에서 2020년 3월까지 검색되는 문헌 중 CPOE 도입 후 발생한 처방오류에 해당하는 문헌을 추출하였고 선정 및 제외기준에 따라 총 14개의 최종 문헌을 선정하였다. 처방오류의 합동 발생률 수치와 CPOE 도입 전과 후 유형 별 처방오류 발생의 상대 위험도 및 95% 신뢰 구간은 랜덤 효과 모델을 적용하여 제시하였다. CPOE 도입 후 전체 처방오류 중 CPOE로 인한 처방오류의 발생률 추정치 범위는 12.78%에서 58.54% 사이였고 랜덤 효과 모델에서 계산된 합동 발생률은 32.36%였다 (95% 신뢰 구간 22.87-42.62). National Coordinating Council for Medication Error Reporting and Prevention 분류체계에 기반하여 문헌에서 추출 가능한 처방오류의 유형을 처방 누락오류, 약물 오류, 용량오류, 제형 및 투여경로 오류, 투여 시간 오류, 약물 모니터링과 같이 총 6개 유형으로 분류하였을 때, 용량오류가 47.28% (95% 신뢰 구간 38.38-56.26)로 가장 높았고 그 다음은 약물 오류가 14.45% (95% 신뢰 구간 7.96-22.40)으로 높았다. CPOE 도입 전과 후의 처방오류 유형별 발생을 비교하기 위하여 하위그룹 메타 분석을 하였을 때, CPOE 도입 후 전체적인 처방오류의 발생률은 CPOE 도입 전에 비해 통계적으로 유의하게 증가하지 않았으나 (Relative risk, RR 0.842, 95% 신뢰 구간 0.559-1.168), 6개 처방오류 유형 중 메타분석이 가능한 5개 오류 유형 중 (처방 누락오류, 약물 오류, 용량오류, 제형 및 투여경로 오류, 약물 모니터링) 처방 누락오류만 CPOE 도입 후 유의하게 줄어들었다 (RR 0.484, 95% 신뢰 구간 0.282-0.831). 체계적 문헌고찰 및 메타분석을 통해 새로운 기술인 CPOE 도입 후 CPOE와 관련된 처방오류가 전체 처방오류 중 1/3의 빈도로 발생하는 것으로 파악되었다. 처방오류의 유형 중 처방 누락오류, 약물 오류, 용량오류, 제형 및 투여경로 오류, 약물 모니터링의 오류의 발생 비율은 CPOE 도입 전과 후에 유의한 변화를 보이지 않았으나, 처방 누락의 비율은 CPOE 도입 후에 낮아진 것으로 나타났다. 약물처방의 전자화와 처방 지원 시스템과 같은 새로운 기술의 도입으로 단순 실수로 인한 처방오류는 방지되었으나 다양한 처방오류가 지속해서 발생함으로 환자의 안전을 위한 시스템 사용자의 지속적인 교육과 시스템의 기술적 개선으로 처방오류의 예방, 감지, 및 모니터링의 노력이 필요하다.1. Introduction 1 2. Methods 3 3. Results 8 4. Discussion 25 5. Conclusion 31 References 32 Appendix 40 요약 (국문초록) 48Maste

Patient Safety and Quality: An Evidence-Based Handbook for Nurses

Compiles peer-reviewed research and literature reviews on issues regarding patient safety and quality of care, ranging from evidence-based practice, patient-centered care, and nurses' working conditions to critical opportunities and tools for improvement