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 (6)
- Ambulatory Care and Surgery (2)
- Arthritis (4)
- Asthma (1)
- Behavioral Health (6)
- Blood Clots (3)
- Blood Pressure (2)
- Cancer (8)
- Cancer: Breast Cancer (1)
- Cancer: Colorectal Cancer (1)
- Cancer: Lung Cancer (1)
- Cancer: Prostate Cancer (3)
- Cardiovascular Conditions (9)
- Care Coordination (3)
- Caregiving (2)
- Case Study (1)
- Catheter-Associated Urinary Tract Infection (CAUTI) (3)
- Central Line-Associated Bloodstream Infections (CLABSI) (2)
- Children's Health Insurance Program (CHIP) (14)
- Children/Adolescents (47)
- Chronic Conditions (11)
- Clinical Decision Support (CDS) (3)
- Clinician-Patient Communication (1)
- Comparative Effectiveness (2)
- Comprehensive Unit-based Safety Program (CUSP) (1)
- Consumer Assessment of Healthcare Providers and Systems (CAHPS) (19)
- Critical Care (1)
- Data (2)
- Dementia (1)
- Dental and Oral Health (3)
- Depression (2)
- Diabetes (7)
- Diagnostic Safety and Quality (8)
- Digestive Disease and Health (1)
- Disparities (4)
- Education: Continuing Medical Education (1)
- Education: Patient and Caregiver (2)
- Elderly (12)
- Electronic Health Records (EHRs) (18)
- Emergency Department (11)
- Evidence-Based Practice (18)
- Falls (2)
- Guidelines (5)
- Healthcare-Associated Infections (HAIs) (8)
- Healthcare Cost and Utilization Project (HCUP) (6)
- Healthcare Costs (1)
- Healthcare Delivery (9)
- Healthcare Utilization (2)
- Health Information Exchange (HIE) (2)
- Health Information Technology (HIT) (21)
- Health Insurance (3)
- Health Literacy (1)
- Health Services Research (HSR) (7)
- Health Status (1)
- Health Systems (3)
- Heart Disease and Health (3)
- Home Healthcare (2)
- Hospital Discharge (2)
- Hospitalization (6)
- Hospital Readmissions (9)
- Hospitals (37)
- Human Immunodeficiency Virus (HIV) (2)
- Imaging (1)
- Implementation (6)
- Infectious Diseases (2)
- Injuries and Wounds (4)
- Inpatient Care (5)
- Intensive Care Unit (ICU) (1)
- Learning Health Systems (1)
- Long-Term Care (14)
- Maternal Care (2)
- Medicaid (8)
- Medical Errors (3)
- Medicare (12)
- Medication (9)
- Medication: Safety (1)
- Mortality (2)
- Neonatal Intensive Care Unit (NICU) (2)
- Neurological Disorders (2)
- Newborns/Infants (1)
- Nursing (4)
- Nursing Homes (22)
- Obesity (1)
- Obesity: Weight Management (1)
- Organizational Change (1)
- Outcomes (17)
- Pain (1)
- Palliative Care (7)
- Patient-Centered Healthcare (6)
- Patient-Centered Outcomes Research (18)
- Patient Adherence/Compliance (2)
- Patient and Family Engagement (1)
- Patient Experience (20)
- Patient Safety (28)
- Payment (2)
- Pneumonia (2)
- Policy (5)
- Practice Patterns (3)
- Pregnancy (1)
- Pressure Ulcers (4)
- Prevention (4)
- Primary Care (14)
- Provider (2)
- Provider: Nurse (1)
- Provider Performance (50)
- Public Reporting (7)
- Quality Improvement (58)
- Quality Indicators (QIs) (68)
- (-) Quality Measures (228)
- Quality of Care (171)
- Quality of Life (2)
- Racial and Ethnic Minorities (4)
- Registries (2)
- Rehabilitation (2)
- Research Methodologies (5)
- Respiratory Conditions (4)
- Risk (4)
- Rural Health (1)
- Screening (2)
- Sepsis (6)
- Sexual Health (1)
- Shared Decision Making (1)
- Skin Conditions (2)
- Social Determinants of Health (1)
- Social Media (1)
- Surgery (21)
- Surveys on Patient Safety Culture (1)
- Telehealth (2)
- Tools & Toolkits (1)
- Transitions of Care (4)
- Urban Health (1)
- Urinary Tract Infection (UTI) (2)
- Vulnerable Populations (2)
- Web-Based (1)
- Women (3)
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
126 to 150 of 228 Research Studies DisplayedSawyer JM, Anton NE, Korndorffer JR
Time crunch: increasing the efficiency of assessment of technical surgical skill via brief video clips.
Video review for assessment of surgical performance is gaining popularity but is time consuming for busy expert reviewers, making review delays inevitable. The study authors hypothesized that a shorter duration video clip would not affect the quality of expert ratings compared with full-length review. Their hypothesis was rejected as shorter video durations for surgical performance assessment led to inflated reviewer ratings both for expert and novice reviewers. They concluded that shortening duration of the video could not be recommended for accurate performance assessment.
AHRQ-funded; HS022080.
Citation: Sawyer JM, Anton NE, Korndorffer JR .
Time crunch: increasing the efficiency of assessment of technical surgical skill via brief video clips.
Surgery 2018 Apr;163(4):933-37. doi: 10.1016/j.surg.2017.11.011..
Keywords: Surgery, Quality of Care, Provider Performance, Quality Measures
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
Leckman-Westin E, Finnerty M, Scholle SH
Differences in Medicaid antipsychotic medication measures among children with SSI, foster care, and income-based aid.
This study examined the application of 6 quality measures for antipsychotic medication prescribing in children and adolescents receiving Medicaid. While indicators of overuse were more common in those with Supplemental Security Income and foster care groups, access to follow-up, metabolic monitoring, and psychosocial services was somewhat better for these children. However, substantial quality shortfalls existed for all groups, particularly metabolic screening and monitoring.
AHRQ-funded; HS020503; HS019937; HS021112.
Citation: Leckman-Westin E, Finnerty M, Scholle SH .
Differences in Medicaid antipsychotic medication measures among children with SSI, foster care, and income-based aid.
J Manag Care Spec Pharm 2018 Mar;24(3):238-46. doi: 10.18553/jmcp.2018.24.3.238.
.
.
Keywords: Children/Adolescents, Medicaid, Medication, Quality Measures, Vulnerable Populations
Deans KJ, Minneci PC, Nacion KM
Health care quality measures for children and adolescents in foster care: feasibility testing in electronic records.
The objective of the study is to identify healthcare quality measures for young children and adolescents in foster care and to test whether the data required to calculate these measures can be feasibly extracted and interpreted within an electronic health records or within the Statewide Automated Child Welfare Information System. It found that electronic health records and the Statewide System data frequently lacked important information on foster care youth essential for calculating the measures.
AHRQ-funded; HS020503.
Citation: Deans KJ, Minneci PC, Nacion KM .
Health care quality measures for children and adolescents in foster care: feasibility testing in electronic records.
BMC Pediatr 2018 Feb 22;18(1):79. doi: 10.1186/s12887-018-1064-4.
.
.
Keywords: Children/Adolescents, Electronic Health Records (EHRs), Quality Measures, Vulnerable Populations
Magnan EM, Bolt DM, Greenlee RT
Stratifying patients with diabetes into clinically relevant groups by combination of chronic conditions to identify gaps in quality of care.
The purpose of this paper was to find clinically relevant combinations of chronic conditions among patients with diabetes and to examine their relationships with six diabetes quality metrics. The researchers analyzed 12 conditions that were concordant with diabetes care to define five mutually exclusive combinations of conditions based on condition co-occurrence. They found the following condition classes: severe cardiac, cardiac, noncardiac vascular, risk factors, and no concordant comorbidities. They concluded that patients had distinct quality metric achievement by condition class, and those in less severe classes were less likely to achieve diabetes metrics.
AHRQ-funded; HS021899; HS018368.
Citation: Magnan EM, Bolt DM, Greenlee RT .
Stratifying patients with diabetes into clinically relevant groups by combination of chronic conditions to identify gaps in quality of care.
Health Serv Res 2018 Feb;53(1):450-68. doi: 10.1111/1475-6773.12607.
.
.
Keywords: Cardiovascular Conditions, Chronic Conditions, Diabetes, Quality of Care, 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
Govindan S, Wallace B, Iwashyna TJ
Do experts understand performance measures? A mixed-methods study of infection preventionists.
This study assessed expert interpretation of CLABSI quality data using a cross-sectional survey of members of the Society for Healthcare Epidemiology of America (SHEA) Research Network (SRN). The investigators found that significant variability in the interpretation of CLABSI data exists among experts. They assert that this finding is likely related to data complexity, particularly with respect to risk-adjusted data. They suggest that improvements appear necessary in data sharing and public policy efforts to account for this complexity.
AHRQ-funded; HS022835.
Citation: Govindan S, Wallace B, Iwashyna TJ .
Do experts understand performance measures? A mixed-methods study of infection preventionists.
Infect Control Hosp Epidemiol 2018 Jan;39(1):71-76. doi: 10.1017/ice.2017.243..
Keywords: Catheter-Associated Urinary Tract Infection (CAUTI), Central Line-Associated Bloodstream Infections (CLABSI), Healthcare-Associated Infections (HAIs), Provider, Provider Performance, Quality of Care, Quality Measures
Liang C, Gong Y
Automated classification of multi-labeled patient safety reports: a shift from quantity to quality measure.
The capacity for extracting useful information from patient safety reports remains limited. This study investigated the multi-labeled nature of patient safety reports as a key to disclose the complex relations between many components during the courses and development of medical errors. The authors developed automated multi-label text classifiers to process patient safety reports. The experiments demonstrated feasibility and efficiency of a combination of multi-label algorithms in the benchmark comparison.
AHRQ-funded; HS022895.
Citation: Liang C, Gong Y .
Automated classification of multi-labeled patient safety reports: a shift from quantity to quality measure.
Stud Health Technol Inform 2017;245:1070-74..
Keywords: Adverse Events, Data, Patient Safety, Quality Measures
Wang Y, Spatz ES, Tariq M
Home health agency performance in the United States: 2011-15.
This review’s evaluation of home health agency quality performance included 11,462 Medicare-certified home health agencies that served 92.4 percent of all ZIP codes nationwide, accounting for 315.2 million people. It found that home health agency performance on several quality indicators varied, and many agencies were persistently in the lowest quartile of performance.
AHRQ-funded; HS023000.
Citation: Wang Y, Spatz ES, Tariq M .
Home health agency performance in the United States: 2011-15.
J Am Geriatr Soc 2017 Dec;65(12):2572-79. doi: 10.1111/jgs.14987.
.
.
Keywords: Quality of Care, Home Healthcare, Quality Indicators (QIs), Quality Measures
Masnick M, Morgan DJ, Sorkin JD
Can national healthcare-associated infections (HAIs) data differentiate hospitals in the United States?
This study was designed to determine whether patients using the Centers for Medicare and Medicaid Services (CMS) Hospital Compare website can use nationally reported healthcare-associated infection (HAI) data to differentiate hospitals. The authors concluded that HAI data generally are reported by enough hospitals to meet minimal criteria for useful comparisons in many geographic locations, though this varies by type of HAI.
AHRQ-funded; HS018111.
Citation: Masnick M, Morgan DJ, Sorkin JD .
Can national healthcare-associated infections (HAIs) data differentiate hospitals in the United States?
Infect Control Hosp Epidemiol 2017 Oct;38(10):1167-71. doi: 10.1017/ice.2017.179..
Keywords: Quality of Care, Healthcare-Associated Infections (HAIs), Hospitals, Provider Performance, Quality Measures
Cholan RA, Weiskopf NG, Rhoton D
From concepts and codes to healthcare quality measurement: understanding variations in value set vocabularies for a statin therapy clinical quality measure.
This study examined health care quality measures and found that the decisions Clinical Quality Measure developers make about which concepts and code groups to include or exclude in value set vocabularies can lead to inaccuracies in the measurement of quality of care.
AHRQ-funded; HS023908.
Citation: Cholan RA, Weiskopf NG, Rhoton D .
From concepts and codes to healthcare quality measurement: understanding variations in value set vocabularies for a statin therapy clinical quality measure.
eGEMS 2017 Sep 4;5(1):19. doi: 10.5334/egems.212..
Keywords: Quality of Care, Quality Measures, Quality Measures
Waljee JF, Dimick JB
Do patient-reported outcomes correlate with clinical outcomes following surgery?
This study examines whether patient-reported outcomes (PROs) correlate with clinical outcomes following surgery. PROs are distinct from clinical outcomes and represent a potential indicator of performance that can be targeted to improve quality of care. Future studies that examine the influence of measurement techniques, case mix, and disease characteristics on PROs will inform efforts to routinely and efficiently integrate these critical outcomes into existing strategies to capture treatment effectiveness and quality of care for surgical conditions.
AHRQ-funded; HS023313.
Citation: Waljee JF, Dimick JB .
Do patient-reported outcomes correlate with clinical outcomes following surgery?
Adv Surg 2017 Sep;51(1):141-50. doi: 10.1016/j.yasu.2017.03.011..
Keywords: Quality of Care, Outcomes, Patient-Centered Outcomes Research, Surgery, Patient Experience, Quality Measures
Ahluwalia SC, Damberg CL, Silverman M
What defines a high-performing health care delivery system: a systematic review.
A systematic review was conducted to determine if there is a commonly used, agreed-on definition of what constitutes a "high-performing" health care delivery system. No consistent definition of a high-performing health care system or organization was identified. High performance was variably defined across different dimensions, including quality (93 percent of articles), cost (67 percent), access (35 percent), equity (26 percent), patient experience (21 percent), and patient safety (18 percent).
AHRQ-funded; HS024067.
Citation: Ahluwalia SC, Damberg CL, Silverman M .
What defines a high-performing health care delivery system: a systematic review.
Jt Comm J Qual Patient Saf 2017 Sep;43(9):450-59. doi: 10.1016/j.jcjq.2017.03.010.
.
.
Keywords: Healthcare Delivery, Quality of Care, Policy, Quality Measures
Hatfield LA, Zaslavsky AM
Implications of variation in the relationships between beneficiary characteristics and Medicare Advantage CAHPS measures.
The researchers studied how differences in quality score adjustments across Medicare Advantage contracts change comparisons for individuals and contracts. They found that, for average consumers, standard adjustment is sufficient to represent variation in contract quality standardized to a common population. For people with characteristics far from average, personalized reporting using their characteristics and contract-specific coefficients can substantially change the expected quality measures across contracts.
AHRQ-funded; HS016978.
Citation: Hatfield LA, Zaslavsky AM .
Implications of variation in the relationships between beneficiary characteristics and Medicare Advantage CAHPS measures.
Health Serv Res 2017 Aug;52(4):1310-29. doi: 10.1111/1475-6773.12544.
.
.
Keywords: Consumer Assessment of Healthcare Providers and Systems (CAHPS), Medicare, Health Status, Patient Experience, Quality of Care, Quality Improvement, Quality Measures
Ottosen MJ, Engebretson JC, Etchegaray JM
Steps in developing a patient-centered measure of hospital design factors.
This research methodology column focuses on describing a four-step medical ethnography approach that can be used in developing patient-centered measures of interest to those studying built environments. The authors use this approach to illustrate how one might develop a measure that can be used to understand parent perceptions of the safety culture in neonatal intensive care units.
AHRQ-funded; HS022944.
Citation: Ottosen MJ, Engebretson JC, Etchegaray JM .
Steps in developing a patient-centered measure of hospital design factors.
HERD 2017 Jul;10(4):10-16. doi: 10.1177/1937586716685290.
.
.
Keywords: Patient Safety, Neonatal Intensive Care Unit (NICU), Quality Measures, Research Methodologies
Cerully JL, Martino SC, Rybowski L
Using "roll-up" measures in healthcare quality reports: perspectives of report sponsors and national alliances.
The objective of this study, which used semi-structured qualitative interview design, was to understand the views of prominent organizations in the field of healthcare quality on the topic of reporting roll-up measures that combine indicators of multiple, often disparate, dimensions of care to consumers. The investigators concluded that the results of the interviews elucidated the need for research focused on construction and reporting of roll-up measures.
AHRQ-funded; HS016980; HS016978.
Citation: Cerully JL, Martino SC, Rybowski L .
Using "roll-up" measures in healthcare quality reports: perspectives of report sponsors and national alliances.
Am J Manag Care 2017 Jun;23(6):e202-e07..
Keywords: Quality of Care, Quality Improvement, Quality Indicators (QIs), Quality Measures
DeLancey JO, Softcheck J, Chung JW
Associations between hospital characteristics, measure reporting, and the Centers for Medicare & Medicaid Services Overall Hospital Quality Star Ratings.
This study evaluated associations between hospital characteristics, number and types of measures reported, and the star ratings. Of 3,591 hospitals receiving a star rating,4 or 5 stars were awarded to 15.8 percent of major teaching hospitals, 18.8 percent of other teaching hospitals, 30.2 percent of community hospitals, 33.3 percent of critical access hospitals, and 87.3 percent of specialty hospitals.
AHRQ-funded; HS021857.
Citation: DeLancey JO, Softcheck J, Chung JW .
Associations between hospital characteristics, measure reporting, and the Centers for Medicare & Medicaid Services Overall Hospital Quality Star Ratings.
JAMA 2017 May 16;317(19):2015-17. doi: 10.1001/jama.2017.3148.
.
.
Keywords: Hospitals, Quality of Care, Quality Measures, Provider Performance, Patient Safety
Baernholdt M, Hinton ID, Guofen Y
A national comparison of rural/urban pressure ulcer and fall rates.
Despite recent decline in hospital acquired conditions (HACs), rates for pressure ulcers (PURs) and falls (FRs) remain at levels that require improvement. Contextual factors and care processes may impact HACs. Using the National Database of Nursing Quality Indicators (NDNQI®) this study examined differences in care processes and community, hospital, and nursing unit characteristics that influence PURs and FRs in 4238 rural and urban nursing units.
AHRQ-funded; HS023147.
Citation: Baernholdt M, Hinton ID, Guofen Y .
A national comparison of rural/urban pressure ulcer and fall rates.
Online J Issues Nurs 2017 May;22(2):1-12. doi: 10.3912/OJIN.Vol22No02PPT60..
Keywords: Injuries and Wounds, Nursing, Patient Safety, Pressure Ulcers, Quality of Care, Quality Improvement, Quality Indicators (QIs), Quality Measures, Rural Health, Urban Health
Goldberg EM, Wilson T, Saucier C
Achieving the BpTRUth: emergency department hypertension screening and the Centers for Medicare & Medicaid Services quality measure.
The aims of this study were to (1) assess the reliability of ED triage blood pressure (BP) as a metric to establish when the CMS threshold (>/=120/80 mm Hg), and other clinically relevant BP thresholds (>/=140/90 and >/=160/100 mm Hg) have been met; and (2) determine whether correct identification varies by gender, race, or triage acuity. At the three suggested BP thresholds, 66.1 percent, 74.0 percent, and 88.8 percent of patients were confirmed to meet the CMS threshold, respectively. There were no differences by gender, race, or triage acuity.
AHRQ-funded; HS000011.
Citation: Goldberg EM, Wilson T, Saucier C .
Achieving the BpTRUth: emergency department hypertension screening and the Centers for Medicare & Medicaid Services quality measure.
J Am Soc Hypertens 2017 May;11(5):290-94. doi: 10.1016/j.jash.2017.03.003.
.
.
Keywords: Blood Pressure, Emergency Department, Quality Measures, Screening, Diagnostic Safety and Quality, Quality of Care
Tonner C, Schmajuk G, Yazdany J
A new era of quality measurement in rheumatology: electronic clinical quality measures and national registries.
This article reviews the evolution of quality measurement in rheumatology, highlighting new health-information technology infrastructure and standards that are enabling unprecedented innovation in this field. Its authors assert that quality measurement and improvement is increasingly an essential component of rheumatology practice. Advances in health information technology are likely to continue to make implementation of electronic clinical quality measures (eCQMs) easier and measurement more clinically meaningful and accurate in coming years.
AHRQ-funded; HS024412.
Citation: Tonner C, Schmajuk G, Yazdany J .
A new era of quality measurement in rheumatology: electronic clinical quality measures and national registries.
Curr Opin Rheumatol 2017 Mar;29(2):131-37. doi: 10.1097/bor.0000000000000364.
.
.
Keywords: Quality Measures, Registries, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Improvement
Martino SC, Shaller D, Schlesinger M
CAHPS and comments: how closed-ended survey questions and narrative accounts interact in the assessment of patient experience.
The authors investigated whether content from patient narratives explains variation in patients' primary care provider (PCP) ratings beyond information from the closed-ended questions of CAHPS Clinician and Group Survey and whether the relative placement of closed- and open-ended survey questions affects either the content of narratives or the CAHPS composite scores. They found that incorporating a protocol for eliciting narratives into a patient experience survey resulted in minimal distortion of patient feedback, and narratives from sicker patients helped explain variation in provider ratings.
AHRQ-funded; HS016980; HS016978; HS021858.
Citation: Martino SC, Shaller D, Schlesinger M .
CAHPS and comments: how closed-ended survey questions and narrative accounts interact in the assessment of patient experience.
J Patient Exp 2017 Mar;4(1):37-45. doi: 10.1177/2374373516685940.
.
.
Keywords: Consumer Assessment of Healthcare Providers and Systems (CAHPS), Patient Experience, Primary Care, Quality of Care, Quality Measures
Kanters A, Mullard AJ, Arambula J
Colorectal cancer: quality of surgical care in Michigan.
Surgery remains the cornerstone therapy for colorectal cancer (CRC). This study assesses CRC quality measures for surgical cases in Michigan with data from 30 hospitals in the Michigan Surgical Quality Collaborative (2014-2015). Adjusted process measures showed gaps in quality of care for CRC, suggesting opportunity for regional quality improvement.
AHRQ-funded; HS000053.
Citation: Kanters A, Mullard AJ, Arambula J .
Colorectal cancer: quality of surgical care in Michigan.
Am J Surg 2017 Mar;213(3):548-52. doi: 10.1016/j.amjsurg.2016.11.038.
.
.
Keywords: Cancer: Colorectal Cancer, Quality of Care, Outcomes, Quality Measures, Surgery
Sisic M, Kirby JS, Boyal S
Development of a quality-of-life measure for hidradenitis suppurativa.
The objective of this study was to develop a QoL instrument for hidradenitis suppurativa (HS-QoL) in accordance with recommended standards. : Concept elicitation interviews with patients with HS generated 12 themes. Most frequently reported were impacts on daily activities and symptoms due to HS. These themes, along with literature review and input from clinical experts, informed development of the HS-QoL-v1.
AHRQ-funded; HS024585.
Citation: Sisic M, Kirby JS, Boyal S .
Development of a quality-of-life measure for hidradenitis suppurativa.
J Cutan Med Surg 2017 Mar/Apr;21(2):152-55. doi: 10.1177/1203475416677721.
.
.
Keywords: Patient Experience, Quality Measures, Quality of Life, Skin Conditions
Campione JR, Smith SA, Mardon RE
Hospital-level factors related to 30-day readmission rates.
This study investigates the relationship between inpatient quality of care as measured by the Agency for Healthcare Research and Quality (AHRQ) patient safety indicator (PSI) composite and all-cause, hospital-wide, 30-day readmission rates. It concluded that inpatient quality of care appears to have less influence on hospital readmission rates than do clinical and socioeconomic factors.
AHRQ-funded; 290201200003I.
Citation: Campione JR, Smith SA, Mardon RE .
Hospital-level factors related to 30-day readmission rates.
Am J Med Qual 2017 Jan/Feb;32(1):48-57. doi: 10.1177/1062860615612158.
.
.
Keywords: Quality of Care, Healthcare Cost and Utilization Project (HCUP), Hospital Readmissions, Quality Indicators (QIs), Quality Measures
Christensen AL, Petersen DM, Burton RA
What factors influence states' capacity to report children's health care quality measures? A multiple-case study.
The objective of this study was to describe factors that influence the ability of state Medicaid agencies to report the Centers for Medicare & Medicaid Services' (CMS) core set of children's health care quality measures . Reporting capacity was influenced by a state's Medicaid data availability, ability to link to other state data systems, past experience with quality measurement, staff time and technical expertise, and demand for the measures.
AHRQ-funded; 290200900019I; 29032004T.
Citation: Christensen AL, Petersen DM, Burton RA .
What factors influence states' capacity to report children's health care quality measures? A multiple-case study.
Matern Child Health J 2017 Jan;21(1):187-98. doi: 10.1007/s10995-016-2108-8.
.
.
Keywords: Quality Measures, Quality of Care, Children's Health Insurance Program (CHIP), Children/Adolescents, Medicaid, Health Insurance, Policy, Case Study