National Healthcare Quality and Disparities Report
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Topics
- Adverse Events (1)
- Burnout (1)
- Cardiovascular Conditions (1)
- Caregiving (4)
- Care Management (1)
- Children/Adolescents (5)
- Clinical Decision Support (CDS) (2)
- Clinician-Patient Communication (1)
- Communication (2)
- Consumer Assessment of Healthcare Providers and Systems (CAHPS) (1)
- Decision Making (1)
- Disparities (1)
- Electronic Health Records (EHRs) (16)
- Emergency Department (3)
- Falls (1)
- Healthcare-Associated Infections (HAIs) (2)
- Healthcare Cost and Utilization Project (HCUP) (1)
- Healthcare Delivery (4)
- Health Information Exchange (HIE) (3)
- (-) Health Information Technology (HIT) (38)
- Health Systems (2)
- Hospital Discharge (1)
- Hospitalization (1)
- Hospital Readmissions (3)
- (-) Hospitals (38)
- Implementation (1)
- Injuries and Wounds (1)
- Inpatient Care (2)
- Intensive Care Unit (ICU) (2)
- Low-Income (1)
- Medication (1)
- Medication: Safety (1)
- Newborns/Infants (1)
- Patient-Centered Healthcare (2)
- Patient and Family Engagement (7)
- Patient Experience (3)
- Patient Safety (7)
- Public Health (1)
- Quality Improvement (4)
- Quality Indicators (QIs) (1)
- Quality Measures (1)
- Quality of Care (7)
- Racial and Ethnic Minorities (1)
- Respiratory Conditions (1)
- Risk (3)
- Sepsis (2)
- Simulation (1)
- Stroke (2)
- Surgery (1)
- Telehealth (4)
- Transitions of Care (2)
- Trauma (1)
- Urban Health (1)
- Web-Based (1)
AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 25 of 38 Research Studies DisplayedLuo B, McLoone M, Rasooly IR
Analysis: protocol for a new method to measure physiologic monitor alarm responsiveness.
A team of researchers including biomedical engineers, human factors engineers, information technology specialists, nurses, physicians, facilitators from a hospital’s simulation center, clinical informaticians, and hospital administrative leadership worked with three units at a pediatric hospital to design and conduct simulations on newly implemented monitoring technology that will be used for patient critical alarms. The system was tested using a simulation with existing hospital technology to transmit an unambiguously critical alarm that appeared to originate from an actual patient to the nurse’s mobile device, with discreet observers measuring responses.
AHRQ-funded; HS026620.
Citation: Luo B, McLoone M, Rasooly IR .
Analysis: protocol for a new method to measure physiologic monitor alarm responsiveness.
Biomed Instrum Technol 2020 Nov/Dec;54(6):389-96. doi: 10.2345/0899-8205-54.6.389..
Keywords: Children/Adolescents, Hospitals, Simulation, Quality Improvement, Quality of Care, Patient Safety, Health Information Technology (HIT)
Brady PW, Schondelmeyer AC, Landrigan CP
Validity of continuous pulse oximetry orders for identification of actual monitoring status in bronchiolitis.
Investigators used direct bedside observation to determine continuous pulse oximetry monitor use in infants with bronchiolitis and then assessed if an active continuous monitoring order was present in the electronic health record. They found that most monitored infants did not have an active monitoring order. The positive predictive value of a monitoring order was 77%, and the negative predictive value was 69%. They recommended that teams intending to measure continuous pulse oximetry use understand the limitations of using electronic health record orders as a stand-alone measure.
AHRQ-funded; HS023827; HS026763.
Citation: Brady PW, Schondelmeyer AC, Landrigan CP .
Validity of continuous pulse oximetry orders for identification of actual monitoring status in bronchiolitis.
J Hosp Med 2020 Nov;15(11):665-68. doi: 10.12788/jhm.3443..
Keywords: Newborns/Infants, Electronic Health Records (EHRs), Health Information Technology (HIT), Hospitals
Boggs KM, Teferi MM, Espinola JA
Consolidating emergency department-specific data to enable linkage with large administrative datasets.
This paper looks at the challenges and opportunities presented by consolidating hospital-level data with patient-level data to create better analyses of hospital-based specialties, units, or departments, and patient outcomes. The American Hospital Association (AHA) has hospital-level data, while the Centers for Medicare & Medicaid Services (CMS) has patient-level data which can be used to study emergency departments (EDs). A distinct database discussed in this paper is the Nationwide Emergency Department Inventory (NEDI). However, the NEDI database lists EDs individually while the AHA and CMS databases list EDs individually or by group if they are part of a larger network. A test set using EDs from New England was conducted using individually matched NEDI EDs with corresponding EDs in the AHA and CMS. A “group match” was assigned when more than one NEDI ED was matched to a single AHA or CMS facility ID number. Of the 195 EDs in the test set, 169 (87%) completed the NEDI survey. Of those, 77% EDs were individually listed in AHA and CMS while 39 were part of groups consisting of 2-3 EDs with one facility ID. The grouped EDs had a larger number of annual visits and beds, were more likely to be freestanding and were less likely to be rural. The consolidated dataset with 171 EDS yielded similar results to the 169 responding EDs which provides a more representative sample for studies.
AHRQ-funded; HS024561.
Citation: Boggs KM, Teferi MM, Espinola JA .
Consolidating emergency department-specific data to enable linkage with large administrative datasets.
West J Emerg Med 2020 Oct 27;21(6):141-45. doi: 10.5811/westjem.2020.8.48305..
Keywords: Healthcare Cost and Utilization Project (HCUP), Emergency Department, Hospitals, Health Information Technology (HIT)
Saleh SN, Makam AN, Halm EA,
Can we predict early 7-day readmissions using a standard 30-day hospital readmission risk prediction model?
Despite focus on preventing 30-day readmissions, early readmissions (within 7 days of discharge) may be more preventable than later readmissions (8-30 days). In this study, the investigators assessed how well a previously validated 30-day EHR-based readmission model predicted 7-day readmissions and compared differences in strength of predictors. They suggested that improvements in predicting early 7-day readmissions will likely require new risk factors proximal to day of discharge.
AHRQ-funded; HS022418.
Citation: Saleh SN, Makam AN, Halm EA, .
Can we predict early 7-day readmissions using a standard 30-day hospital readmission risk prediction model?
BMC Med Inform Decis Mak 2020 Sep 15;20(1):227. doi: 10.1186/s12911-020-01248-1..
Keywords: Hospital Readmissions, Hospitals, Risk, Transitions of Care, Electronic Health Records (EHRs), Health Information Technology (HIT)
McAlearney AS, Walker DM, Gaughan A
Helping patients be better patients: a qualitative study of perceptions about inpatient portal use.
This qualitative study looked at perceptions about inpatient portal use and its impact on patient experience and the care process. The authors interviewed 120 patients and 433 care team members across a seven-hospital academic medical center that offers an inpatient portal to hospitalized patients. Care team members felt the inpatient portal helped patients be “better patients” by improving their ability to be informed about their health and enabling them to be more involved in the care process. The care team members suggested portal use could be improved by addressing challenges with tablet administration, use of the patient education feature, and the functionality of the scheduling feature.
AHRQ-funded; HS024379; HS024091.
Citation: McAlearney AS, Walker DM, Gaughan A .
Helping patients be better patients: a qualitative study of perceptions about inpatient portal use.
Telemed J E Health 2020 Sep;26(9):1184-87. doi: 10.1089/tmj.2019.0198..
Keywords: Telehealth, Health Information Technology (HIT), Patient and Family Engagement, Clinician-Patient Communication, Communication, Inpatient Care, Hospitals
Otto L, Wang A, Wheeler K
Comparison of manual and computer assigned injury severity scores.
The study objective was to compare the ISS manually assigned by hospital personnel and those generated by the ICDPIC software for value agreement and predictive power of length of stay (LOS) and mortality. The investigators found that the LOS and mortality predictive power were significantly higher for manually assigned ISS when compared with computer assigned ISS in both PTC and NTDB data sets. They indicated that hospitals should be cautious about transitioning to computer assigned ISS, specifically for patients who are critically injured.
AHRQ-funded; HS024263.
Citation: Otto L, Wang A, Wheeler K .
Comparison of manual and computer assigned injury severity scores.
Inj Prev 2020 Aug;26(4):330-33. doi: 10.1136/injuryprev-2019-043224..
Keywords: Health Information Technology (HIT), Injuries and Wounds, Trauma, Hospitals
Everson J, Rubin JC, Friedman CP
Reconsidering hospital EHR adoption at the dawn of HITECH: implications of the reported 9% adoption of a "basic" EHR.
This study reexamined the results of a prominent 2009 national report that reported 9% of US hospitals had adopted a “basic” electronic health record (EHR) system. That calculation relied on specific treatment of the data. The authors reanalyzed the 2008 American Heart Association Information Technology supplement and complementary sources to get a range of estimates of EHR adoption. By 2008 73% of hospitals had begun the transition to EHR, with the majority having adopted at least 6 of the 10 functionalities of a basic system. Aggregate data showed that 58% of hospitals had completed the transition, and when accounting for measurement error they estimated that 30% of hospitals may have adopted a basic EHR. This is significantly higher than the 9% figure popularly used and might have led to different policies then.
AHRQ-funded; HS026395.
Citation: Everson J, Rubin JC, Friedman CP .
Reconsidering hospital EHR adoption at the dawn of HITECH: implications of the reported 9% adoption of a "basic" EHR.
J Am Med Inform Assoc 2020 Aug;27(8):1198-205. doi: 10.1093/jamia/ocaa090..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Hospitals
Co Z, Holmgren AJ, Classen DC
The tradeoffs between safety and alert fatigue: data from a national evaluation of hospital medication-related clinical decision support.
This study evaluated the overall performance of hospitals that used the Computerized Physician Order Entry Evaluation Tool in 2017 and 2018 and compared performances for fatal orders and nuisance orders each year. The authors evaluated 1599 hospitals that took the test by using their overall percentage scores along with the percentage of fatal orders appropriately alerted on and the percentage of nuisance orders incorrectly alerted on. Overall hospital scores improved from 58.1% in 2017 to 66.2% in 2018. Fatal order performance improved slightly from 78.8% to 83.0%, but there no very little change in nuisance order performance (89.0% to 89.7%). Conclusions were that perhaps hospitals are not targeting the deadliest orders first and some hospitals may be achieving higher scores by over-alerting. This has the potential to cause clinician burnout and even worsen patient safety.
AHRQ-funded; HS023696.
Citation: Co Z, Holmgren AJ, Classen DC .
The tradeoffs between safety and alert fatigue: data from a national evaluation of hospital medication-related clinical decision support.
J Am Med Inform Assoc 2020 Aug;27(8):1252-58. doi: 10.1093/jamia/ocaa098..
Keywords: Medication: Safety, Medication, Patient Safety, Clinical Decision Support (CDS), Decision Making, Burnout, Hospitals, Health Information Technology (HIT), Quality of Care
Zachrison KS, Boggs KM, Hayden EM
A national survey of telemedicine use by US emergency departments.
Telemedicine has the potential to improve the delivery of emergency medical care: however, the extent of its adoption in United States (US) emergency departments is not known. The objectives of this study were to characterise the prevalence of telemedicine use among all US emergency departments, describe clinical applications for which it is most commonly used, and identify emergency department characteristics associated with its use.
AHRQ-funded; HS024561.
Citation: Zachrison KS, Boggs KM, Hayden EM .
A national survey of telemedicine use by US emergency departments.
J Telemed Telecare 2020 Jun;26(5):278-84. doi: 10.1177/1357633x18816112..
Keywords: Telehealth, Health Information Technology (HIT), Emergency Department, Healthcare Delivery, Hospitals
Furukawa MF, Eldridge N, Wang Y
AHRQ Author: Furukawa MF, Eldridge N
Electronic health record adoption and rates of in-hospital adverse events.
Researchers examined the association of hospitals' electronic health record (EHR) adoption and occurrence rates of adverse events among exposed patients. The study included patients hospitalized for acute cardiovascular disease, pneumonia, or conditions requiring surgery. The researchers found that patients exposed to a fully electronic EHR were less likely to experience in-hospital adverse events.
AHRQ-authored.
Citation: Furukawa MF, Eldridge N, Wang Y .
Electronic health record adoption and rates of in-hospital adverse events.
J Patient Saf 2020 Jun;16(2):137-42. doi: 10.1097/pts.0000000000000257..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Adverse Events, Inpatient Care, Hospitals, Patient Safety
Sun Y, Guo F, Kaffashi F
INSMA: an integrated system for multimodal data acquisition and analysis in the intensive care unit.
In this paper, the investigators proposed a multimodal data acquisition and analysis system called INSMA, with the ability to acquire, store, process, and visualize multiple types of data from the Philips IntelliVue patient monitor. They also discussed how the acquired data could be used for patient state tracking. INSMA is being tested in the ICU at University Hospitals Cleveland Medical Center.
AHRQ-funded; HS022860.
Citation: Sun Y, Guo F, Kaffashi F .
INSMA: an integrated system for multimodal data acquisition and analysis in the intensive care unit.
J Biomed Inform 2020 Jun;106:103434. doi: 10.1016/j.jbi.2020.103434..
Keywords: Intensive Care Unit (ICU), Health Information Technology (HIT), Hospitals
Latulipe C, Mazumder SF, Wilson RKW
Security and privacy risks associated with adult patient portal accounts in US hospitals.
The authors sought to identify the proportions of hospitals that provide proxy accounts to caregivers of adult patients, endorse password sharing with caregivers, and enable patients to restrict the types of information seen by their caregivers. They found that almost half of surveyed hospital personnel recommended password sharing and that few hospitals enabled patients to limit the types of information seen by those with proxy access. They concluded that hospitals and electronic health record vendors need to improve the availability and setup process of proxy accounts in a way that allows caregivers to care for patients without violating their privacy.
AHRQ-funded; HS021679.
Citation: Latulipe C, Mazumder SF, Wilson RKW .
Security and privacy risks associated with adult patient portal accounts in US hospitals.
JAMA Intern Med 2020 Jun;180(6):845-9. doi: 10.1001/jamainternmed.2020.0515..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Caregiving, Hospitals
Martinez DA, Cai J, Oke JB
Where is my infusion pump? Harnessing network dynamics for improved hospital equipment fleet management.
This study sought to characterize unit-to-unit intravenous infusion pump sharing and its impact on shortages, as well as to evaluate a system-control tool that balances inventory across all care areas, enabling increased availability of pumps. The network analysis supported design and deployment of a hospital-wide inventory balancing system, which resulted in a 44% increase in the number of care areas above safe inventory levels. Network phenomena are essential inputs to hospital equipment fleet management; therefore, benefits of improved inventory management in strategic units are capable of spreading safer inventory levels throughout the hospital.
AHRQ-funded.
Citation: Martinez DA, Cai J, Oke JB .
Where is my infusion pump? Harnessing network dynamics for improved hospital equipment fleet management.
J Am Med Inform Assoc 2020 Jun;27(6):884-92. doi: 10.1093/jamia/ocaa033..
Keywords: Health Information Technology (HIT), Hospitals
Classen DC, Holmgren AJ, Co Z
National trends in the safety performance of electronic health record systems from 2009 to 2018.
This study examined trends in the safety performance of electronic health records (EHRs) in hospitals from 2009 to 2018. The Leapfrog Health IT Safety Measure test was administered by the Leapfrog Group from July 2018 to December 1, 2019. Overall mean performance scores increased from 53.9% in 2009 to 65.6% in 2018. Mean hospital scores for categories representing basic clinical decision support increased from 69.8% in 2009 to 85.6% in 2018. Advanced decision clinical support also increased from 29.5% in 2009 to 46.1%. These results showed great improvement, but there is still substantial safety risk in current hospital EHR systems.
AHRQ-funded; HS023696.
Citation: Classen DC, Holmgren AJ, Co Z .
National trends in the safety performance of electronic health record systems from 2009 to 2018.
JAMA Netw Open 2020 May;3(5):e205547. doi: 10.1001/jamanetworkopen.2020.5547..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Hospitals, Patient Safety, Quality Measures, Clinical Decision Support (CDS), Quality Indicators (QIs)
Fuller TE, Pong DD, Piniella N
Interactive digital health tools to engage patients and caregivers in discharge preparation: implementation study.
This clinical trial studied implementation of a suite of EHR-integrated digital health tools to engage patients, caregivers, and clinicians in discharge preparation during hospitalization. Patients who were enrolled agreed to watch a discharge video, complete a checklist assessing discharge readiness, and request postdischarge text messaging with a physician 24 to 48 hours before their expected discharge date. Out of 752 patient admissions, from December 2017 to July 2018, 510 participated, 416 watched the video and completed the checklist, and 94 completed only the checklist. Most patients endorsed the tools, but felt that the video and checklist would be more useful closer to the actual discharge date. Clinicians participating in focus groups perceived the value for patients but felt that there were a number of limitations including low awareness and variable workflow regarding the intervention. A number of strategies were offered by the authors to address implementation barriers and promote adoption of these tools.
AHRQ-funded; HS024751.
Citation: Fuller TE, Pong DD, Piniella N .
Interactive digital health tools to engage patients and caregivers in discharge preparation: implementation study.
J Med Internet Res 2020 Apr 28;22(4):e15573. doi: 10.2196/15573..
Keywords: Health Information Technology (HIT), Patient and Family Engagement, Caregiving, Hospital Discharge, Transitions of Care, Hospitals
Everson J, Butler E
Hospital adoption of multiple health information exchange approaches and information accessibility.
The aim of this study was to determine the change in adoption of 3 types of electronic health information exchange (HIE) in hospitals for 3 types of information exchange: secure messaging, provider portals, and use of an HIE; and to assess if growth in each approach corresponded to an increased ability to access and integrate patient information from outside providers. A sample of 1917 hospitals that responded to the American Hospital Association Information Technology Supplement every year from 2014 to 2016 was used for the analysis. Adoption of each approach increased by 9-15 percentage points over that time. The average number of HIE approaches increased from 1.0 to 1.4. The likelihood of having outside information increased by 10.3 percentage points with adoption of 1 approach, and by 9.5 percentage points with adoption of a second approach.
AHRQ-funded; HS026395.
Citation: Everson J, Butler E .
Hospital adoption of multiple health information exchange approaches and information accessibility.
J Am Med Inform Assoc 2020 Apr 1;27(4):577-83. doi: 10.1093/jamia/ocaa003..
Keywords: Health Information Technology (HIT), Health Information Exchange (HIE), Hospitals
Sharma R, Zachrison KS, Viswanathan A
Trends in telestroke care delivery: a 15-year experience of an academic hub and its network of spokes.
Telestroke provides access to vascular neurology expertise for hospitals lacking stroke coverage, and its use has risen rapidly in the past decade. In this study the investigators aimed to characterize consultations, spoke behavior, and the relationship between spoke telestroke utilization (number of telestroke consults per year) and spoke alteplase treatment metrics in an academic telestroke network.
AHRQ-funded; HS024561.
Citation: Sharma R, Zachrison KS, Viswanathan A .
Trends in telestroke care delivery: a 15-year experience of an academic hub and its network of spokes.
Circ Cardiovasc Qual Outcomes 2020 Mar;13(3):e005903. doi: 10.1161/circoutcomes.119.005903..
Keywords: Telehealth, Health Information Technology (HIT), Stroke, Healthcare Delivery, Care Management, Hospitals
Scott HF, Colborn KL, Sevick CJ
Development and validation of a predictive model of the risk of pediatric septic shock using data known at the time of hospital arrival.
The purpose of this observational cohort study was to derive and validate a model of risk of septic shock among children with suspected sepsis, using data known in the electronic health record at hospital arrival. The investigators concluded that their model estimated the risk of septic shock in children at hospital arrival earlier than existing models. They indicate it leveraged the predictive value of routine electronic health record data through a modern predictive algorithm and suggest it has the potential to enhance clinical risk stratification in the critical moments before deterioration.
AHRQ-funded; HS025696.
Citation: Scott HF, Colborn KL, Sevick CJ .
Development and validation of a predictive model of the risk of pediatric septic shock using data known at the time of hospital arrival.
J Pediatr 2020 Feb;217:145-51.e6. doi: 10.1016/j.jpeds.2019.09.079..
Keywords: Children/Adolescents, Sepsis, Emergency Department, Hospitals, Risk, Electronic Health Records (EHRs), Health Information Technology (HIT)
Haldar S, Mishra SR, Pollack AH
Informatics opportunities to involve patients in hospital safety: a conceptual model.
This study investigated how hospital inpatients experience undesirable events (UEs) and to see if those present opportunities for new informatics solutions. The authors surveyed 242 patients and caregivers during their hospital stay and asked them open-ended questions about their experiences with UEs. They then developed a 4-stage conceptual model which illustrates inpatient experiences: from when they first encounter UEs, and opportunities to promote inpatients’ participation and engagement in the quality and safety of their care, help healthcare systems learn from inpatient experience, and reduce those harmful events.
AHRQ-funded; HS022894.
Citation: Haldar S, Mishra SR, Pollack AH .
Informatics opportunities to involve patients in hospital safety: a conceptual model.
J Am Med Inform Assoc 2020 Feb;27(2):202-11. doi: 10.1093/jamia/ocz167.
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Keywords: Patient Safety, Hospitals, Health Information Technology (HIT), Patient and Family Engagement, Patient Experience, Quality of Care
Everson J, Adler-Milstein J
Sharing information electronically with other hospitals is associated with increased sharing of patients.
This study examined whether patient sharing between hospitals increased when they participated in a health information organization (HIO). The researchers used national data on hospital participation in HIOs from the American Hospital Association Information Technology Supplement and data on the volume of Medicare patients shared between pairs of hospitals from 2010 to 2016. They found that there an increase in patient sharing in competitive markets and with larger hospitals. Participation by only one hospital had no impact on patient sharing.
AHRQ-funded; HS026395.
Citation: Everson J, Adler-Milstein J .
Sharing information electronically with other hospitals is associated with increased sharing of patients.
Health Serv Res 2020 Feb;55(1):128-35. doi: 10.1111/1475-6773.13240..
Keywords: Health Information Technology (HIT), Health Information Exchange (HIE), Hospitals
Haldar S, Mishra SR, Kim Y
Use and impact of an online community for hospital patients.
This study examined the impact of a technology resembling an online health community for hospitalized patients to exchange advice and provide each other support during their hospitalization. It was deployed at 1 pediatric and 1 adult hospital. Thirty participants were recruited and were interviewed bedside and were observed how they used the technology, along with follow-up phone interviews. It was found to be helpful to patients and that most (64%) of the shared advice was positive in nature. They also reported positive impacts to their quality, safety, and hospital experience due to the inpatient peer support community.
AHRQ-funded; HS022894.
Citation: Haldar S, Mishra SR, Kim Y .
Use and impact of an online community for hospital patients.
J Am Med Inform Assoc 2020 Apr;27(4):549-57. doi: 10.1093/jamia/ocz212..
Keywords: Health Information Technology (HIT), Hospitals, Patient and Family Engagement, Patient Experience
Smith AB, Mueller D, Garren B
Using qualitative research to reduce readmissions and optimize perioperative cystectomy care.
This study examined the need for qualitative research on meaningful patient-reported outcomes (PROs) to prevent complications and readmissions after cystectomy. The investigators looked at the potential use of mobile communication devices (mHealth) to capture patients’ experiences and to improve outcomes. Interviews were conducted with 15 readmitted patients and 10 of their partners over 45 semi-structured in-depth interviews. The most common perspectives were that patients and their caregivers were overloaded with cystectomy education; they need to know what are normal post-operative symptoms; and that using mHealth would help with patient and caregiver education.
AHRQ-funded; HS024134.
Citation: Smith AB, Mueller D, Garren B .
Using qualitative research to reduce readmissions and optimize perioperative cystectomy care.
Cancer 2019 Oct 15;125(20):3545-53. doi: 10.1002/cncr.32362..
Keywords: Hospital Readmissions, Surgery, Health Information Technology (HIT), Quality Improvement, Quality of Care, Hospitals, Patient-Centered Healthcare
Ji W, McKenna C, Ochoa A
Development and assessment of objective surveillance definitions for nonventilator hospital-acquired pneumonia.
The authors sought to propose and assess potentially objective, efficient, and reproducible surveillance definitions for non-ventilator hospital-acquired pneumonia (NV-HAP) using routine clinical data stored in electronic health record systems. They found that objective surveillance for NV-HAP using electronically computable definitions that incorporate common clinical criteria is feasible and generates incidence, mortality, and adjusted odds ratios for hospital mortality similar to estimates from manual surveillance. They concluded that these definitions have the potential to facilitate widespread, automated surveillance for NV-HAP and thus inform the development and evaluation of prevention programs.
AHRQ-funded; HS025008.
Citation: Ji W, McKenna C, Ochoa A .
Development and assessment of objective surveillance definitions for nonventilator hospital-acquired pneumonia.
JAMA Netw Open 2019 Oct 2;2(10):e1913674. doi: 10.1001/jamanetworkopen.2019.13674..
Keywords: Healthcare-Associated Infections (HAIs), Hospitals, Respiratory Conditions, Public Health, Electronic Health Records (EHRs), Health Information Technology (HIT)
Vest JR, Unruh MA, Freedman S
Health systems' use of enterprise health information exchange vs single electronic health record vendor environments and unplanned readmissions.
Enterprise health information exchange (HIE) and a single electronic health record (EHR) vendor solution are 2 information exchange approaches to improve performance and increase the quality of care. This study sought to determine the association between adoption of enterprise HIE vs a single vendor environment and changes in unplanned readmissions. The investigators concluded that reductions in the probability of an unplanned readmission after a hospital adopts a single vendor environment suggested that HIE technologies can better support the aim of higher quality care.
AHRQ-funded; HS024717.
Citation: Vest JR, Unruh MA, Freedman S .
Health systems' use of enterprise health information exchange vs single electronic health record vendor environments and unplanned readmissions.
J Am Med Inform Assoc 2019 Oct;26(10):989-98. doi: 10.1093/jamia/ocz116..
Keywords: Health Systems, Health Information Exchange (HIE), Electronic Health Records (EHRs), Health Information Technology (HIT), Hospital Readmissions, Hospitals
Bush RA, Vemulakonda VM, Richardson AC
Providing access: differences in pediatric portal activation begin at patient check-in.
This study investigated patient portal use and activation patterns among pediatric urology patients at two geographically diverse tertiary pediatric hospitals. A retrospective cohort analysis was conducted of electronic portal audit records from 2011 to 2016. Out of 44,608 individuals offered a code for patient portal activation, only 19.3% activated portal access. Those patients were most likely to be female, Asian or white, non-Hispanic, and reporting English as the preferred language. This analysis showed that there are barriers to access by many patients and caregivers.
AHRQ-funded; HS024597; HS022404.
Citation: Bush RA, Vemulakonda VM, Richardson AC .
Providing access: differences in pediatric portal activation begin at patient check-in.
Appl Clin Inform 2019 Aug;10(4):670-78. doi: 10.1055/s-0039-1695792..
Keywords: Children/Adolescents, Hospitals, Electronic Health Records (EHRs), Health Information Technology (HIT)