National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
- Data Innovations
- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
- AHRQ Quality Indicator Tools for Data Analytics
- State Snapshots
- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Search All Research Studies
AHRQ Research Studies Date
Topics
- Adverse Events (2)
- Blood Clots (2)
- Cardiovascular Conditions (2)
- Care Coordination (3)
- Children's Health Insurance Program (CHIP) (2)
- Children/Adolescents (7)
- Chronic Conditions (2)
- Consumer Assessment of Healthcare Providers and Systems (CAHPS) (2)
- Dental and Oral Health (1)
- Elderly (2)
- Electronic Health Records (EHRs) (2)
- Emergency Department (1)
- Evidence-Based Practice (2)
- Healthcare Cost and Utilization Project (HCUP) (1)
- Healthcare Delivery (1)
- Healthcare Utilization (1)
- Health Information Technology (HIT) (1)
- Health Literacy (1)
- Heart Disease and Health (2)
- Hospitalization (2)
- Hospital Readmissions (5)
- Hospitals (7)
- Medicaid (1)
- Medicare (2)
- Medication (1)
- Mortality (1)
- Neonatal Intensive Care Unit (NICU) (1)
- Newborns/Infants (1)
- Nursing Homes (2)
- Outcomes (2)
- Palliative Care (1)
- Patient-Centered Healthcare (1)
- Patient-Centered Outcomes Research (3)
- Patient Experience (3)
- Patient Safety (6)
- Pneumonia (1)
- Prevention (1)
- Primary Care (2)
- Provider Performance (10)
- Public Reporting (1)
- Quality Improvement (8)
- (-) Quality Indicators (QIs) (29)
- (-) Quality Measures (29)
- Quality of Care (22)
- Rehabilitation (1)
- Research Methodologies (1)
- Respiratory Conditions (2)
- Risk (2)
- Sepsis (1)
- Surgery (2)
- Surveys on Patient Safety Culture (1)
- Tools & Toolkits (1)
- Transitions of Care (1)
AHRQ Research Studies
Sign up: AHRQ Research Studies Email updates
Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 25 of 29 Research Studies DisplayedMixon AS, Smith GR, Mallouk M
Design of MARQUIS2: study protocol for a mentored implementation study of an evidence-based toolkit to improve patient safety through medication reconciliation.
The first Multi-center Medication Reconciliation Quality Improvement Study (MARQUIS1) demonstrated that implementation of a medication reconciliation best practices toolkit decreased total unintentional medication discrepancies in five hospitals. In this study, the investigators sought to implement the MARQUIS toolkit in more diverse hospitals, incorporating lessons learned from MARQUIS1.
AHRQ-funded; HS023757; HS025486.
Citation: Mixon AS, Smith GR, Mallouk M .
Design of MARQUIS2: study protocol for a mentored implementation study of an evidence-based toolkit to improve patient safety through medication reconciliation.
BMC Health Serv Res 2019 Sep 11;19(1):659. doi: 10.1186/s12913-019-4491-5.
.
.
Keywords: Evidence-Based Practice, Medication, Patient Safety, Quality of Care, Quality Improvement, Quality Indicators (QIs), Quality Measures, Tools & Toolkits
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)
Barbash IJ, Davis B, Kahn JM
National performance on the Medicare SEP-1 sepsis quality measure.
Researchers characterized national performance on the sepsis measure known as SEP-1. They found that the majority of eligible hospitals reported SEP-1 data, and overall bundle compliance was highly variable. Further, SEP-1 performance was associated with structural hospital characteristics and performance on other measures of hospital quality, providing preliminary support for SEP-1 performance as a marker of timely hospital sepsis care.
AHRQ-funded; HS025455.
Citation: Barbash IJ, Davis B, Kahn JM .
National performance on the Medicare SEP-1 sepsis quality measure.
Crit Care Med 2019 Aug;47(8):1026-32. doi: 10.1097/ccm.0000000000003613..
Keywords: Sepsis, Quality Indicators (QIs), Quality Measures, Quality of Care, Hospitals, Provider Performance
Li Y, Cen X, Cai X
Perceived patient safety culture in nursing homes associated with "Nursing Home Compare" performance indicators.
This study examined the association between the use of “Nursing Home Compare” performance indicators and improved patient safety culture in nursing homes. A survey was conducted in 2017 using AHRQ’s Survey on Patient Safety Culture for Nursing Homes which collects data on 12 core domains of safety culture scores. Out of 2254 nursing homes sampled, there was a response rate of 36%. It was found that for every 10 percentage points increase in overall positive response rate for safety culture, there was an association with 0.56 fewer health care deficiencies, 0.74 fewer substantiated complaints, reduced fines by $2285.20, and 20% increased odds of being designed as 4-star or 5-star.
AHRQ-funded; HS024923.
Citation: Li Y, Cen X, Cai X .
Perceived patient safety culture in nursing homes associated with "Nursing Home Compare" performance indicators.
Med Care 2019 Aug;57(8):641-47. doi: 10.1097/mlr.0000000000001142..
Keywords: Surveys on Patient Safety Culture, Patient Safety, Nursing Homes, Quality Indicators (QIs), Quality Measures, Quality of Care, Provider Performance
Nakamura MM, Toomey SL, Zaslavsky AM
Potential impact of initial clinical data on adjustment of pediatric readmission rates.
This study investigated whether the addition of adding initial clinical data to adjust for case-mix (differences in patient populations) improved prediction of pediatric readmissions. Thirty-day readmissions were examined using claims and electronic records for patients aged 18 and younger who were admitted to 3 children’s hospitals from February 2011 to February 2014. The Pediatric All-Condition Readmission Measure was used and started with a model including age, gender, chronic conditions, and primary diagnosis. Initial vital sign and laboratory data was added to see if it improved model performance. Greater readmission risk was found if there was a low red blood cell count and mean corpuscular hemoglobin concentration and high red cell distribution risk. However, it did not provide more than minimal improvement in performance.
AHRQ-funded; HS020513; HS025299.
Citation: Nakamura MM, Toomey SL, Zaslavsky AM .
Potential impact of initial clinical data on adjustment of pediatric readmission rates.
Acad Pediatr 2019 Jul;19(5):589-98. doi: 10.1016/j.acap.2018.09.006..
Keywords: Children/Adolescents, Hospital Readmissions, Risk, Quality Indicators (QIs), Quality Measures, Quality of Care
Brega AG, Hamer MK, Albright K
AHRQ Author: Brach C
Organizational health literacy: quality improvement measures with expert consensus.
The investigators sought to identify and evaluate existing organizational health literacy (OHL)-related quality improvement (QI) measures. They identified 22 OHL-related QI measures that have the support of experts in the field, and recommended additional measure development and testing. However, they note that their Consensus OHL QI Measures are appropriate for immediate use.
AHRQ-authored; AHRQ-funded; 233201500025I.
Citation: Brega AG, Hamer MK, Albright K .
Organizational health literacy: quality improvement measures with expert consensus.
Health Lit Res Pract 2019 Jul 1;3(2):e127-e46. doi: 10.3928/24748307-20190503-01..
Keywords: Health Literacy, Quality of Care, Quality Improvement, Quality Indicators (QIs), Quality Measures
Cefalu MS, Elliott MN, Setodji CM
Hospital quality indicators are not unidimensional: a reanalysis of Lieberthal and Comer.
The objective of this study was to evaluate the dimensionality of hospital quality indicators treated as unidimensional in a prior publication. The investigators found that there were four underlying dimensions of hospital quality: patient experience, mortality, and two clinical process dimensions. They concluded that hospital quality should be measured using a variety of indicators reflecting different dimensions of quality.
AHRQ-funded; HS016980; HS016978.
Citation: Cefalu MS, Elliott MN, Setodji CM .
Hospital quality indicators are not unidimensional: a reanalysis of Lieberthal and Comer.
Health Serv Res 2019 Apr;54(2):502-08. doi: 10.1111/1475-6773.13056..
Keywords: Consumer Assessment of Healthcare Providers and Systems (CAHPS), Hospitals, Patient Experience, Provider Performance, Quality of Care, Quality Indicators (QIs), Quality Measures
Blay E, Huang R, Chung JW
Evaluating the impact of the venous thromboembolism outcome measure on the PSI 90 composite quality metric.
Patient Safety Indicator (PSI) 90 is a composite measure widely used in federal pay-for-performance and public reporting programs. A component metric of PSI 90, venous thromboembolism (VTE) rate, has been shown to be subject to surveillance bias and not a valid measure for hospital quality comparisons. A study was conducted to examine how hospital PSI 90 scores would change if the VTE measure were removed from calculation of this composite measure.
AHRQ-funded; HS021857.
Citation: Blay E, Huang R, Chung JW .
Evaluating the impact of the venous thromboembolism outcome measure on the PSI 90 composite quality metric.
Jt Comm J Qual Patient Saf 2019 Mar;45(3):148-55. doi: 10.1016/j.jcjq.2018.08.009..
Keywords: Blood Clots, Patient Safety, Quality Measures, Quality Indicators (QIs), Quality of Care
Gupta S, Zengul FD, Davlyatov GK
Reduction in hospitals' readmission rates: role of hospital-based skilled nursing facilities.
The purpose of this study was to examine the association between hospital-based skilled nursing facilities (HBSNFs) and hospitals' readmission rates. Data sources included the American Hospital Association Annual Survey, Area Health Resources Files, CMS Medicare cost reports and Hospital Compare. Results showed that the presence of HBSNFs was associated with lower readmission rates for acute myocardial infarction and pneumonia. Further, higher skilled nursing facilities to hospitals ratio were associated with lower readmission rates.
AHRQ-funded; HS023345.
Citation: Gupta S, Zengul FD, Davlyatov GK .
Reduction in hospitals' readmission rates: role of hospital-based skilled nursing facilities.
Inquiry 2019 Jan-Dec;56:46958018817994. doi: 10.1177/0046958018817994..
Keywords: Hospital Readmissions, Transitions of Care, Care Coordination, Hospitals, Quality Indicators (QIs), Quality Measures, Quality of Care
Kaiser SV, Lam R, Joseph GB
Limitations of using pediatric respiratory illness readmissions to compare hospital performance.
Researcher sought to determine if a National Quality Forum (NQF)-endorsed measure for pediatric lower respiratory illness (LRI) 30-day readmission rates can meaningfully identify high- and low-performing hospitals. Subjects were children with LRI (bronchiolitis, influenza, or pneumonia as primary diagnosis, or with an LRI as a secondary diagnosis with a primary diagnosis of respiratory failure, sepsis, bacteremia, or asthma) from all hospital admissions in California from 2012 to 2014. The researchers were unable to identify meaningful variation in hospital performance without broadening the metric definition and merging multiple years of data. They recommend that utilizers of pediatric-quality measures consider modifying metrics to better evaluate the quality of pediatric care at low-volume hospitals.
AHRQ-funded; HS024385; HS022835; HS024592; HS025297.
Citation: Kaiser SV, Lam R, Joseph GB .
Limitations of using pediatric respiratory illness readmissions to compare hospital performance.
J Hosp Med 2018 Nov;13(11):737-42. doi: 10.12788/jhm.2988..
Keywords: Children/Adolescents, Respiratory Conditions, Provider Performance, Hospital Readmissions, Hospitals, Quality Indicators (QIs), Quality Measures, Quality of Care, Quality Improvement
Utter GH, Cox GL, Atolagbe OO
Conversion of the Agency for Healthcare Research and Quality's Quality indicators from ICD-9-CM to ICD-10-CM/PCS: the process, results, and implications for users.
The purpose of this study was to describe the process, results, and implications for users, of converting the Agency for Healthcare Research and Quality's (AHRQ) Quality Indicators (QIs) from International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) specifications to ICD, 10th Revision, Clinical Modification and Procedure Classification System (ICD-10-CM/PCS) specifications.
AHRQ-funded; 290201200003I; 290201200001C.
Citation: Utter GH, Cox GL, Atolagbe OO .
Conversion of the Agency for Healthcare Research and Quality's Quality indicators from ICD-9-CM to ICD-10-CM/PCS: the process, results, and implications for users.
Health Serv Res 2018 Oct;53(5):3704-27. doi: 10.1111/1475-6773.12981..
Keywords: Quality Indicators (QIs), Quality Measures, Quality Measures
Cary MP, Prvu Bettger J, Jarvis JM
Successful community discharge following postacute rehabilitation for Medicare beneficiaries: analysis of a patient-centered quality measure.
The purpose of this study was to determine the sociodemographic and clinical characteristics as well as health services use associated with successful community discharge. The investigators retrospectively examined 167,664 Medicare beneficiaries discharged from inpatient rehabilitation facilities (IRFs) in 2013 to determine the sociodemographic and clinical characteristics as well as health services use associated with successful community discharge.
AHRQ-funded; HS022134.
Citation: Cary MP, Prvu Bettger J, Jarvis JM .
Successful community discharge following postacute rehabilitation for Medicare beneficiaries: analysis of a patient-centered quality measure.
Health Serv Res 2018 Aug;53(4):2470-82. doi: 10.1111/1475-6773.12796..
Keywords: Elderly, Medicare, Patient-Centered Healthcare, Patient-Centered Outcomes Research, Rehabilitation, Quality Indicators (QIs), Quality Measures
Arthur KC, Mangione-Smith R, Burkhart Q
Quality of care for children with medical complexity: an analysis of continuity of care as a potential quality indicator.
The objective of this study was to examine the relationship between continuity of care for children with medical complexity (CMC) and emergency department (ED) utilization, care coordination quality, and family effects related to care coordination. The investigators measured ED utilization and primary care continuity with the Bice-Boxerman continuity of care index for 1477 CMC using administrative data from Minnesota and Washington state Medicaid agencies. They concluded that continuity of care holds promise as a quality measure for CMC because of its association with lower ED utilization and more frequent receipt of care coordination.
AHRQ-funded; HS020506.
Citation: Arthur KC, Mangione-Smith R, Burkhart Q .
Quality of care for children with medical complexity: an analysis of continuity of care as a potential quality indicator.
Acad Pediatr 2018 Aug;18(6):669-76. doi: 10.1016/j.acap.2018.04.009..
Keywords: Care Coordination, Children/Adolescents, Chronic Conditions, Emergency Department, Healthcare Utilization, Primary Care, Quality of Care, Quality Indicators (QIs), Quality Measures
Parast L, Burkhart Q, Gidengil C
Validation of new care coordination quality measures for children with medical complexity.
The purpose of this paper was to validate new caregiver-reported quality measures assessing care coordination services for children with medical complexity (CMC). Results showed that 19 newly-developed Family Experiences with Coordination of Care quality measures demonstrated convergent validity with previously-validated CAHPS measures. These new measures are valid for assessing the quality of care coordination services provided to CMC and may be useful for evaluating new models of care focused on improving these services.
AHRQ-funded; HS020506.
Citation: Parast L, Burkhart Q, Gidengil C .
Validation of new care coordination quality measures for children with medical complexity.
Acad Pediatr 2018 Jul;18(5):581-88. doi: 10.1016/j.acap.2018.03.006..
Keywords: Care Coordination, Children/Adolescents, Chronic Conditions, Consumer Assessment of Healthcare Providers and Systems (CAHPS), Patient Experience, Quality Indicators (QIs), Quality Measures, Quality Improvement, Quality of Care
Lau BD, Streiff MB, Pronovost PJ
Venous thromboembolism quality measures fail to accurately measure quality.
This study reviewed a large number of international quality measures for venous thromboembolism (VTE) prevention. Researchers discovered that none of them accurately characterize VTE prevention methods or outcomes in hospitalized patients. They describe an ideal, defect-free VTE prevention process.
AHRQ-funded; HS024547.
Citation: Lau BD, Streiff MB, Pronovost PJ .
Venous thromboembolism quality measures fail to accurately measure quality.
Circulation 2018 Mar 20;137(12):1278-84. doi: 10.1161/circulationaha.116.026897..
Keywords: Blood Clots, Hospitalization, Prevention, Quality Indicators (QIs), Quality Measures
Ryskina KL, Konetzka RT, Werner RM
Association between 5-Star nursing home report card ratings and potentially preventable hospitalizations.
The goal of this study was to test whether the improvements in nursing homes’ 5-star ratings were correlated with reductions in rates of hospitalization; the researchers’ hypothesis was that increased attention to ratings motivated nursing homes to make changes to improve ratings but did not affect hospitalization rate, resulting in a weakened association between ratings and hospitalizations. 2007-2010 Medicare hospital claims and nursing home clinical assessment data were used to compare the correlation between nursing homes’ ratings and hospitalization rates. Correlation weakened slightly after the ratings became publicly available. The researchers conclude that improvements in nursing home ratings after the release of Medicare's 5-star rating system were not accompanied by improvements in a broader measure of outcomes for post-acute care patients and, although this dissociation may be due to additional factors, the 5-star ratings became less meaningful as an indicator of nursing home quality for these patients.
AHRQ-funded; HS021861.
Citation: Ryskina KL, Konetzka RT, Werner RM .
Association between 5-Star nursing home report card ratings and potentially preventable hospitalizations.
Inquiry 2018 Jan-Dec;55:46958018787323. doi: 10.1177/0046958018787323..
Keywords: Elderly, Nursing Homes, Medicare, Quality Indicators (QIs), Provider Performance, Quality Measures, Hospitalization, Quality of Care
Hernandez-Boussard TM, McDonald KM, Morrison DE
Risks of adverse events in colorectal patients: population-based study.
The authors sought to assess adverse events in colorectal surgical patients. They found important differential rates of adverse events by diagnostic category, with the highest odds ratio occurring in patients undergoing surgery for ischemic colitis.
AHRQ-funded; HS018558.
Citation: Hernandez-Boussard TM, McDonald KM, Morrison DE .
Risks of adverse events in colorectal patients: population-based study.
J Surg Res 2016 May 15;202(2):328-34. doi: 10.1016/j.jss.2016.01.013.
.
.
Keywords: Healthcare Cost and Utilization Project (HCUP), Adverse Events, Surgery, Patient Safety, Risk, Quality Indicators (QIs), Quality of Care, Quality Measures
Wahl ER, Yazdany J
Challenges and opportunities in using patient-reported outcomes in quality measurement in rheumatology.
This article reviews the use of patient-reported outcomes (PROs) in assessing health care quality, and highlights challenges and opportunities specific to their use in rheumatology quality measurement. It describes the current use of PROs as quality measures in rheumatology, and frames an agenda for future work supporting development of meaningful quality measures based on PROs.
AHRQ-funded; HS024412.
Citation: Wahl ER, Yazdany J .
Challenges and opportunities in using patient-reported outcomes in quality measurement in rheumatology.
Rheum Dis Clin North Am 2016 May;42(2):363-75. doi: 10.1016/j.rdc.2016.01.008.
.
.
Keywords: Quality of Care, Outcomes, Quality Indicators (QIs), Quality Measures
McConnell KJ, Lindrooth RC, Wholey DR
Modern management practices and hospital admissions.
The researchers investigated whether the modern management practices and publicly reported performance measures are associated with choice of hospital for patients with acute myocardial infarction (AMI). They found that, overall, a one standard deviation change in management practice scores is associated with an 8% increase in AMI admissions.
AHRQ-funded; HS018466.
Citation: McConnell KJ, Lindrooth RC, Wholey DR .
Modern management practices and hospital admissions.
Health Econ 2016 Apr;25(4):470-85. doi: 10.1002/hec.3171.
.
.
Keywords: Hospitals, Heart Disease and Health, Cardiovascular Conditions, Quality Indicators (QIs), Quality Measures, Quality of Care, Public Reporting, Provider Performance
Dy SM, Herr K, Bernacki RE
Methodological research priorities in palliative care and hospice quality measurement.
The authors describe three key priorities: 1) defining the population of interest for palliative care quality indicators, 2) developing methods to measure quality from different data sources, and 3) conducting research to advance the development of patient/family-reported indicators. They apply these concepts to the key quality domain of advance care planning and address relevance to implementation of indicators in improving care in order to facilitate improved quality measurement across all populations with serious illness and care for patients and families.
AHRQ-funded; HS023681.
Citation: Dy SM, Herr K, Bernacki RE .
Methodological research priorities in palliative care and hospice quality measurement.
J Pain Symptom Manage 2016 Feb;51(2):155-62. doi: 10.1016/j.jpainsymman.2015.10.019.
.
.
Keywords: Research Methodologies, Palliative Care, Quality Measures, Quality Indicators (QIs), Quality of Care
Walkey AJ, Weinberg J, Wiener RS
Association of do-not-resuscitate orders and hospital mortality rate among patients with pneumonia.
The researchers evaluated the effect of analytic approaches accounting for do-not-resuscitate (DNR) status on risk-adjusted hospital mortality rates and performance rankings. They found that after accounting for patient DNR status and between-hospital variation in the association between DNR status and mortality, hospitals with higher DNR rates had lower mortality.
AHRQ-funded; HS020672.
Citation: Walkey AJ, Weinberg J, Wiener RS .
Association of do-not-resuscitate orders and hospital mortality rate among patients with pneumonia.
JAMA Intern Med 2016 Jan;176(1):97-104. doi: 10.1001/jamainternmed.2015.6324.
.
.
Keywords: Hospitals, Mortality, Quality of Care, Quality Indicators (QIs), Quality Measures, Pneumonia, Provider Performance, Respiratory Conditions
Bailey LC, Mistry KB, Tinoco A
AHRQ Author: Mistry KB
Addressing electronic clinical information in the construction of quality measures.
The authors draw on the experience of Centers of Excellence to review both structural and pragmatic considerations in e-measurement. They suggest that addressing these challenges will require investment by vendors, researchers, and clinicians alike in developing better pediatric content for standard terminologies and data models, encouraging wider adoption of technical standards that support reliable quality measurement, better harmonizing data collection with clinical work flow in EHRs, and better understanding the behavior and potential of e-measures.
AHRQ-authored.
Citation: Bailey LC, Mistry KB, Tinoco A .
Addressing electronic clinical information in the construction of quality measures.
Acad Pediatr 2014 Sep-Oct;14(5 Suppl):S82-9. doi: 10.1016/j.acap.2014.06.006.
.
.
Keywords: Children's Health Insurance Program (CHIP), Electronic Health Records (EHRs), Quality Improvement, Quality Indicators (QIs), Quality Measures
Lorch SA, Passarella M, Zeigler A
Challenges to measuring variation in readmission rates of neonatal intensive care patients.
The authors examined the viability of a hospital readmission quality metric for infants requiring neonatal intensive care. They found that the California cohort showed significant variation in hospital-level readmission rates, supporting the premise that readmission rates of prematurely born infants may reflect care quality. However, state data did not include term and early term infants requiring neonatal intensive care, and there were extensive missing data in the few states with sufficient information on managed care patients to calculate state-level measures. They concluded that constructing a valid readmission measure for NICU care across diverse states and regions requires improved data collection.
AHRQ-funded; HS018661; HS020508.
Citation: Lorch SA, Passarella M, Zeigler A .
Challenges to measuring variation in readmission rates of neonatal intensive care patients.
Acad Pediatr 2014 Sep-Oct;14(5 Suppl):S47-53. doi: 10.1016/j.acap.2014.06.010.
.
.
Keywords: Neonatal Intensive Care Unit (NICU), Newborns/Infants, Quality Indicators (QIs), Quality Measures, Hospital Readmissions
Nakamura MM, Toomey SL, Zaslavsky AM
Measuring pediatric hospital readmission rates to drive quality improvement.
The investigators sought to describe the importance of readmissions in children and the challenges of developing readmission quality measures. They found that the policy focus on readmissions has motivated widespread efforts by hospitals and outpatient providers to evaluate and reengineer care processes.
AHRQ-funded; HS020513; HS020508.
Citation: Nakamura MM, Toomey SL, Zaslavsky AM .
Measuring pediatric hospital readmission rates to drive quality improvement.
Acad Pediatr 2014 Sep-Oct;14(5 Suppl):S39-46. doi: 10.1016/j.acap.2014.06.012.
.
.
Keywords: Children/Adolescents, Quality Improvement, Quality Indicators (QIs), Quality Measures, Hospital Readmissions
Bevans KB, Moon J, Carle AC
Patient reported outcomes as indicators of pediatric health care quality.
The authors described and illustrated in case examples the functions, benefits, and challenges of patient-reported outcomes applications. They concluded that pediatric patient-reported outcomes are increasingly recognized as valuable indicators of health care quality in the clinical environment and as measures of organization- and provider-level performance.
AHRQ-funded; HS020408.
Citation: Bevans KB, Moon J, Carle AC .
Patient reported outcomes as indicators of pediatric health care quality.
Acad Pediatr 2014 Sep-Oct;14(5 Suppl):S90-6. doi: 10.1016/j.acap.2014.06.002..
Keywords: Children/Adolescents, Quality of Care, Children/Adolescents, Quality Indicators (QIs), Quality Measures, Provider Performance