National Healthcare Quality and Disparities Report
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Topics
- Adverse Events (1)
- Arthritis (1)
- Blood Pressure (1)
- Burnout (1)
- Cardiovascular Conditions (3)
- Caregiving (2)
- Care Management (1)
- Children/Adolescents (5)
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- Consumer Assessment of Healthcare Providers and Systems (CAHPS) (3)
- Critical Care (1)
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- Dementia (2)
- Diabetes (3)
- Diagnostic Safety and Quality (2)
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- Electronic Health Records (EHRs) (23)
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- Evidence-Based Practice (4)
- Healthcare-Associated Infections (HAIs) (1)
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- (-) Health Information Technology (HIT) (37)
- Health Literacy (1)
- Health Services Research (HSR) (1)
- Heart Disease and Health (1)
- Hospital Readmissions (1)
- Hospitals (7)
- Imaging (1)
- Implementation (1)
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- Primary Care: Models of Care (1)
- Provider: Nurse (1)
- Provider Performance (1)
- Quality Improvement (24)
- Quality Indicators (QIs) (2)
- Quality Measures (4)
- (-) Quality of Care (37)
- Racial and Ethnic Minorities (2)
- Sepsis (1)
- Simulation (1)
- Surgery (5)
- Telehealth (2)
- Tools & Toolkits (1)
- Trauma (1)
- Urban Health (1)
- Urinary Tract Infection (UTI) (1)
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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 37 Research Studies DisplayedGriffey RT, Schneider RM, Todorov AA
The emergency department trigger tool: validation and testing to optimize yield.
Researchers validated the emergency department trigger tool (EDTT) in an independent sample and compared record selection approaches to optimize yield for quality improvement. In this single-site study of the EDTT, they observed high levels of validity in trigger selection, yield, and representativeness of adverse events, with yields that are superior to estimates for traditional approaches to adverse event detection. Record selection using weighted triggers outperformed a trigger count threshold approach and far outperformed random sampling from records with at least one trigger. They concluded that the EDTT is a promising efficient and high-yield approach for detecting all-cause harm to guide quality improvement efforts in the emergency department.
AHRQ-funded; HS025052.
Citation: Griffey RT, Schneider RM, Todorov AA .
The emergency department trigger tool: validation and testing to optimize yield.
Acad Emerg Med 2020 Dec;27(12):1279-90. doi: 10.1111/acem.14101..
Keywords: Emergency Department, Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Adverse Events, Patient Safety, Quality Improvement, Quality of Care
Luo 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)
Scott HF, Brilli RJ, Paul R
Evaluating pediatric sepsis definitions designed for electronic health record extraction and multicenter quality improvement.
The purpose of this study was to describe the Children's Hospital Association's Improving Pediatric Sepsis Outcomes sepsis definitions and to evaluate the definition using a published framework. The investigators concluded that the Improving Pediatric Sepsis Outcomes Sepsis definitions demonstrated feasibility for large-scale data abstraction. When operationalized, these definitions enabled multicenter identification and data aggregation, indicating practical utility for quality improvement.
AHRQ-funded; HS025696.
Citation: Scott HF, Brilli RJ, Paul R .
Evaluating pediatric sepsis definitions designed for electronic health record extraction and multicenter quality improvement.
Crit Care Med 2020 Oct;48(10):e916-e26. doi: 10.1097/ccm.0000000000004505..
Keywords: Children/Adolescents, Electronic Health Records (EHRs), Health Information Technology (HIT), Sepsis, Quality Improvement, Quality of Care
Bucher BT, Shi J, Ferraro JP
Portable automated surveillance of surgical site infections using natural language processing: development and validation.
The authors presented the development and validation of a portable natural language processing (NLP) approach for automated surveillance of surgical site infections (SSIs). Patient clinical text notes from EHRs following surgical procedures from two independent healthcare systems were abstracted. The authors found that automated surveillance of SSIs can be achieved using NLP of clinical notes with high sensitivity and specificity.
AHRQ-funded; HS025776.
Citation: Bucher BT, Shi J, Ferraro JP .
Portable automated surveillance of surgical site infections using natural language processing: development and validation.
Ann Surg 2020 Oct;272(4):629-36. doi: 10.1097/sla.0000000000004133..
Keywords: Surgery, Healthcare-Associated Infections (HAIs), Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Improvement, Quality of Care
Alexander GL, Madsen R, Deroche CB
Ternary trends in nursing home information technology and quality measures in the United States.
This survey investigated whether improvements in nursing home information technology (NH IT) increases quality measures. Nursing home administrators were surveyed from 2014 to 2017. Nine dimensions/domains and total IT sophistication were measured. A total of 815 Year 1 surveys were completed. It was found that for every 10 units increase in administrative activity of IT use, a decrease of 1.3% occurred in the percentage of low-risk long-stay residents with bowel or bladder incontinence.
AHRQ-funded; HS022497.
Citation: Alexander GL, Madsen R, Deroche CB .
Ternary trends in nursing home information technology and quality measures in the United States.
J Appl Gerontol 2020 Oct;39(10):1134-43. doi: 10.1177/0733464819862928..
Keywords: Nursing Homes, Health Information Technology (HIT), Quality Measures, Quality Improvement, Long-Term Care, Quality of Care
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
Bronsert M, Singh AB, Henderson WG
Identification of postoperative complications using electronic health record data and machine learning.
Investigators developed a machine learning algorithm for identifying patients with one or more complications using data from the electronic health record (EHR). They concluded that using machine learning on EHR postoperative data linked to American College of Surgeons National Surgical Quality Improvement Program outcomes data, a model with 163 predictors from the EHR identified complications well at their institution.
AHRQ-funded; HS026019.
Citation: Bronsert M, Singh AB, Henderson WG .
Identification of postoperative complications using electronic health record data and machine learning.
Am J Surg 2020 Jul;220(1):114-19. doi: 10.1016/j.amjsurg.2019.10.009..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Surgery, Quality Improvement, Quality of Care, Diagnostic Safety and Quality
Homco J, Carabin H, Nagykaldi Z
Validity of medical record abstraction and electronic health record-generated reports to assess performance on cardiovascular quality measures in primary care.
The purpose of this study was to compare observed performance scores measured using 2 imperfect reference standard data sources with misclassification-adjusted performance scores obtained using bayesian latent class analysis. Using aspirin, blood pressure, and smoking performance data from the Healthy Hearts for Oklahoma Project, researchers found that extracting information for the same individuals using different data sources generated different performance score estimates. Recommendations included further research to identify the sources of these differences.
AHRQ-funded; HS023919.
Citation: Homco J, Carabin H, Nagykaldi Z .
Validity of medical record abstraction and electronic health record-generated reports to assess performance on cardiovascular quality measures in primary care.
JAMA Netw Open 2020 Jul;3(7):e209411. doi: 10.1001/jamanetworkopen.2020.9411..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Cardiovascular Conditions, Quality Measures, Quality of Care, Primary Care, Provider Performance, Evidence-Based Practice
Rudin RS, Friedberg MW, Shekelle P
Getting value from electronic health records: research needed to improve practice.
Electronic health records (EHRs) are now widely adopted in the United States, but health systems have barely begun using them to deliver high-value care. This article describes 4 potential benefits of EHR-based research: improving clinical decisions, supporting triage decisions, enabling collaboration among the care team (including patients), and increasing productivity via automation of tasks.
AHRQ-funded; HS024067.
Citation: Rudin RS, Friedberg MW, Shekelle P .
Getting value from electronic health records: research needed to improve practice.
Ann Intern Med 2020 Jun 2;172(11 Suppl):S130-s36. doi: 10.7326/m19-0878..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Improvement, Quality of Care, Healthcare Delivery
Tignanelli CJ, Silverman GM, Lindemann EA
Natural language processing of prehospital emergency medical services trauma records allows for automated characterization of treatment appropriateness.
Incomplete prehospital trauma care is a significant contributor to preventable deaths. Current databases lack timelines easily constructible of clinical events. Temporal associations and procedural indications are critical to characterize treatment appropriateness. Natural language processing (NLP) methods present a novel approach to bridge this gap. In this study, the investigators sought to evaluate the efficacy of a novel and automated NLP pipeline to determine treatment appropriateness from a sample of prehospital EMS motor vehicle crash records.
AHRQ-funded; HS026379.
Citation: Tignanelli CJ, Silverman GM, Lindemann EA .
Natural language processing of prehospital emergency medical services trauma records allows for automated characterization of treatment appropriateness.
J Trauma Acute Care Surg 2020 May;88(5):607-14. doi: 10.1097/ta.0000000000002598.
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Keywords: Trauma, Injuries and Wounds, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Improvement, Quality of Care
Stangenes SR, Painter IS, Rea TD
Delays in recognition of the need for telephone-assisted CPR due to caller descriptions of chief complaint.
The objective of this study was to test if caller descriptions of chief complaint delays emergency medical dispatchers' (EMDs) recognition of the need for telephone-assisted CPR (T-CPR). The investigators conducted an analysis of N = 433 cardiac arrest calls from six large call centers in the United States. They concluded that caller chief complaint description affected the time to recognition of the need for T-CPR.
AHRQ-funded; HS021658.
Citation: Stangenes SR, Painter IS, Rea TD .
Delays in recognition of the need for telephone-assisted CPR due to caller descriptions of chief complaint.
Resuscitation 2020 Apr;149:82-86. doi: 10.1016/j.resuscitation.2020.02.013..
Keywords: Emergency Medical Services (EMS), Cardiovascular Conditions, Patient Safety, Quality of Care, Telehealth, Health Information Technology (HIT), Communication
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
Businger AC, Fuller TE, Schnipper JL
Lessons learned implementing a complex and innovative patient safety learning laboratory project in a large academic medical center.
This paper describes the challenges, recommendations and lessons learned while developing and implementing a Patient Safety Learning Laboratory (PSLL) project, which is comprised of a suite of HIT tools integrated with a newly implemented Electronic Health Record (EHR) vendor system in the acute care setting of a large academic medical center. The PSLL Administrative Core engaged stakeholders and study personnel throughout all phases of the project. Challenges to implementation included stakeholder engagement, project scope and complexity, technology and governance, and team structure. Some changes were implemented during the trial and others were labeled as lessons learned for future iterative interventions. A willingness to think outside of current workflows and processes to change health system culture around adverse event prevention was one of the keys to success.
AHRQ-funded; HS023535.
Citation: Businger AC, Fuller TE, Schnipper JL .
Lessons learned implementing a complex and innovative patient safety learning laboratory project in a large academic medical center.
J Am Med Inform Assoc 2020 Feb;27(2):301-07. doi: 10.1093/jamia/ocz193.
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Keywords: Patient Safety, Implementation, Health Information Technology (HIT), Quality Improvement, Quality of Care, Patient-Centered Healthcare, Electronic Health Records (EHRs), Evidence-Based Practice
Gandrup J, Li J, Izadi Z
Three quality improvement initiatives and performance of rheumatoid arthritis disease activity measures in electronic health records: results from an interrupted time series study.
This study evaluated the effect of 3 HIT initiatives on the performance of rheumatoid arthritis (RA) disease activity measures and outcomes in an academic rheumatology clinic. The three initiatives implemented to facilitate performance of the Clinical Disease Activity Index (CDAI) were: 1) an EHR flowsheet to input scores, 2) peer performance reports, and 3) an EHR Smartform including a CDAI calculator. Data from 995 patients with 8,040 encounters between 2012 and 2017 was included. Electronic capture of CDAI scores increased from 0% to 64%. Peer performance reporting and the SmartForm kept performance stable. Physician satisfaction increased after SmartForm implementation.
AHRQ-funded; HS025638.
Citation: Gandrup J, Li J, Izadi Z .
Three quality improvement initiatives and performance of rheumatoid arthritis disease activity measures in electronic health records: results from an interrupted time series study.
Arthritis Care Res 2020 Feb;72(2):283-91. doi: 10.1002/acr.23848..
Keywords: Arthritis, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Improvement, Quality of Care
Liss DT, Peprah YA, Brown T
Using electronic health records to measure quality improvement efforts: findings from a large practice facilitation initiative.
This study described primary care practices' ability to obtain measures with reporting periods aligning with a large quality improvement initiative. Facilitators reported barriers to data collection such as practices lacking optional EHR features, and EHRs' inability to produce reporting periods across two calendar years. The authors conclude that EHR vendors' compliance with federal reporting requirements is not necessarily sufficient to support real-world quality improvement work. They recommended improvements in the flexibility and usability of EHRs' quality measurement functions, particularly for smaller practices.
AHRQ-funded; HS023921.
Citation: Liss DT, Peprah YA, Brown T .
Using electronic health records to measure quality improvement efforts: findings from a large practice facilitation initiative.
Jt Comm J Qual Patient Saf 2020 Jan;46(1):11-17. doi: 10.1016/j.jcjq.2019.09.006..
Keywords: Patient-Centered Outcomes Research, Evidence-Based Practice, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Improvement, Quality of Care
King CR, Abraham J, Kannampallil TG
Protocol for the effectiveness of an anesthesiology control tower system in improving perioperative quality metrics and clinical outcomes: the TECTONICS randomized, pragmatic trial.
The primary objective of this trial was to determine whether an anesthesiology control tower (ACT) prevents clinically relevant adverse postoperative outcomes including 30-day mortality, delirium, respiratory failure, and acute kidney injury. Clinicians in operating rooms randomized to ACT support receive decision support from clinicians in the ACT. In operating rooms randomized to no intervention, the current standard of anesthesia care is delivered. The intention-to-treat principle will be followed for all analyses.
AHRQ-funded; HS024581.
Citation: King CR, Abraham J, Kannampallil TG .
Protocol for the effectiveness of an anesthesiology control tower system in improving perioperative quality metrics and clinical outcomes: the TECTONICS randomized, pragmatic trial.
F1000Res 2019 Nov 29;8:2032. doi: 10.12688/f1000research.21016.1.
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Keywords: Quality Measures, Quality Improvement, Quality of Care, Surgery, Telehealth, Health Information Technology (HIT)
Kang SK, Garry K, Chung R
Natural language processing for identification of incidental pulmonary nodules in radiology reports.
The authors developed natural language processing (NLP) to identify incidental lung nodules (ILNs) in radiology reports for assessment of management recommendations using the electronic health records for patients who underwent chest CT before and after implementation of a department-wide dictation macro of the Fleischner Society recommendations. They concluded that NLP reliably automates identification of ILNs in unstructured reports, pertinent to quality improvement efforts for ILN management.
AHRQ-funded; HS024376.
Citation: Kang SK, Garry K, Chung R .
Natural language processing for identification of incidental pulmonary nodules in radiology reports.
J Am Coll Radiol 2019 Nov;16(11):1587-94. doi: 10.1016/j.jacr.2019.04.026..
Keywords: Imaging, Diagnostic Safety and Quality, Health Information Technology (HIT), Electronic Health Records (EHRs), Quality Improvement, Quality of Care
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
Knierim KE, Hall TL, Dickinson LM
Primary care practices' ability to report electronic clinical quality measures in the EvidenceNOW Southwest Initiative to Improve Heart Health.
The objective of this study was to determine how quickly primary care practices can report electronic clinical quality measures (eCQMs) and to identify the practice characteristics associated with faster reporting. Examining the EvidenceNOW Southwest initiative, the researchers’ results showed that the time to report eCQMs varied by measure and practice type, with very few practices reporting quickly. Additional support for practices to succeed in new programs that require eCQM reporting was recommended.
AHRQ-funded; HS023904.
Citation: Knierim KE, Hall TL, Dickinson LM .
Primary care practices' ability to report electronic clinical quality measures in the EvidenceNOW Southwest Initiative to Improve Heart Health.
JAMA Netw Open 2019 Aug 2;2(8):e198569. doi: 10.1001/jamanetworkopen.2019.8569..
Keywords: Primary Care, Quality Indicators (QIs), Quality Measures, Quality Improvement, Quality of Care, Heart Disease and Health, Cardiovascular Conditions, Patient-Centered Outcomes Research, Evidence-Based Practice, Electronic Health Records (EHRs), Health Information Technology (HIT)
Dalal AK, Fuller T, Garabedian P
Systems engineering and human factors support of a system of novel EHR-integrated tools to prevent harm in the hospital.
This study examined systems engineering and human factors support of a system of novel electronic health record (EHR)-integrated tools for patient safety in the hospital. The authors established a Patient Safety Learning Laboratory of 2 core and 3 individual project teams to introduce a suite of digital health tools integrated with their EHR to identify, assess, and mitigate threats to patient safety. They identified 7 themes regarding use of 12 systems engineering and human factors over the 4-year project.
AHRQ-funded; HS023535.
Citation: Dalal AK, Fuller T, Garabedian P .
Systems engineering and human factors support of a system of novel EHR-integrated tools to prevent harm in the hospital.
J Am Med Inform Assoc 2019 Jun;26(6):553-60. doi: 10.1093/jamia/ocz002..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety, Hospitals, Quality Improvement, Quality of Care
Tieu L, Hobbs A, Sarkar U
Adapting patient experience data collection processes for lower literacy patient populations using tablets at the point of care.
This study compared the acceptability of low-literacy tablet-based and traditional paper-based patient experience surveys in English and Spanish. The Consumer Assessment of Healthcare Providers & Systems Clinician & Group Survey (CG-CAHPS) was adapted for a pilot survey using low-literacy questions in Spanish and English. The majority of interview participants preferred the tablet version over the traditional paper-based survey. This was especially true for the younger and Latino respondents.
AHRQ-funded; HS022408.
Citation: Tieu L, Hobbs A, Sarkar U .
Adapting patient experience data collection processes for lower literacy patient populations using tablets at the point of care.
Med Care 2019 Jun;57 Suppl 6 Suppl 2:S140-s48. doi: 10.1097/mlr.0000000000001030..
Keywords: Consumer Assessment of Healthcare Providers and Systems (CAHPS), Health Information Technology (HIT), Health Literacy, Patient Experience, Primary Care, Quality of Care, Quality Improvement, Racial and Ethnic Minorities, Urban Health
Fowler FJ, Cosenza C, Cripps LA
The effect of administration mode on CAHPS survey response rates and results: a comparison of mail and web-based approaches.
The researchers compared response rates, respondents' characteristics, and substantive results for CAHPS surveys administered using web and mail protocols. They found that response rates to surveys administered using the Internet protocols were lower than for the surveys administered by mail, but characteristics of respondents and survey answers were very similar across protocols. Respondents without email addresses tended to be older, less educated, and more likely to be male than those with email addresses, and there were a few differences in their responses.
AHRQ-funded; HS016978.
Citation: Fowler FJ, Cosenza C, Cripps LA .
The effect of administration mode on CAHPS survey response rates and results: a comparison of mail and web-based approaches.
Health Serv Res 2019 Jun;54(3):714-21. doi: 10.1111/1475-6773.13109..
Keywords: Consumer Assessment of Healthcare Providers and Systems (CAHPS), Health Information Technology (HIT), Patient Experience, Primary Care, Quality of Care, Quality Improvement
Larsen E, Hoffman D, Rivera C
Continuing patient care during electronic health record downtime.
This study examined the impact of electronic health record (EHR) downtime in hospitals on patient care. Two mid-Atlantic hospitals where the EHR system was either fully or partially unavailable were used to document the problems using historic performance data and semistructured interviews. A total of 17 hospital employees were interviewed. Laboratory test results were delayed an average of 62% during downtime events. Paper documentation created during the downtime period was often incomplete or incorrect. The authors provided recommendations to improve downtime contingency plans based on their findings.
AHRQ-funded; HS024350.
Citation: Larsen E, Hoffman D, Rivera C .
Continuing patient care during electronic health record downtime.
Appl Clin Inform 2019 May;10(3):495-504. doi: 10.1055/s-0039-1692678..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Healthcare Delivery, Hospitals, Quality of Care
Toomey SL, Elliott MN, Zaslavsky AM
Improving response rates and representation of hard-to-reach groups in family experience surveys.
This study examined the use of an audio-enabled tablet to survey parents of children discharged from 4 units of a children’s hospital. Normal mail survey response rates are very low, especially for black, Latino, and low-income respondents. This survey was done day of discharge at the hospital and there was a response rate of 71.1% via tablet versus 16.3% for mail only. The Child Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey was used. Tablet response rates were highest with fathers, those more likely to have a high school education or less, less likely to be white, and more likely to be publicly insured. The results are promising for future surveys using tablet administration.
AHRQ-funded; HS020513; HS025299.
Citation: Toomey SL, Elliott MN, Zaslavsky AM .
Improving response rates and representation of hard-to-reach groups in family experience surveys.
Acad Pediatr 2019 May - Jun;19(4):446-53. doi: 10.1016/j.acap.2018.07.007..
Keywords: Caregiving, Children/Adolescents, Consumer Assessment of Healthcare Providers and Systems (CAHPS), Health Information Technology (HIT), Hospitals, Low-Income, Patient Experience, Quality of Care, Quality Improvement, Racial and Ethnic Minorities
Althoff KN, Wong C, Hogan B
Mind the gap: observation windows to define periods of event ascertainment as a quality control method for longitudinal electronic health record data.
Under the hypothesis that use of electronic health records in health research may lead to false assumptions of complete event ascertainment, the authors of this article estimated "observation windows" (OWs) as a quality-control approach to reduce the likelihood of false assumption. The impact of OWs on estimating rates of type II diabetes mellitus from HIV clinical cohorts are demonstrated. Data from 16 HIV clinical cohorts to the NA-ACCORD were used to identify and evaluate OWs for an operationalized definition of diabetes occurrence. The authors conclude that OWs have utility as a quality-control approach to complete event ascertainment and help to improve the accuracy of estimates.
AHRQ-funded; 90047713.
Citation: Althoff KN, Wong C, Hogan B .
Mind the gap: observation windows to define periods of event ascertainment as a quality control method for longitudinal electronic health record data.
Ann Epidemiol 2019 May;33:54-63. doi: 10.1016/j.annepidem.2019.01.015..
Keywords: Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT), Health Services Research (HSR), Quality of Care