National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Adverse Drug Events (ADE) (1)
- Adverse Events (2)
- Antimicrobial Stewardship (1)
- Behavioral Health (1)
- Cardiovascular Conditions (2)
- Caregiving (2)
- Children/Adolescents (1)
- Clinical Decision Support (CDS) (2)
- Clinician-Patient Communication (3)
- Communication (1)
- COVID-19 (2)
- Disparities (1)
- Elderly (2)
- Electronic Health Records (EHRs) (11)
- Emergency Department (2)
- Genetics (1)
- Healthcare Costs (1)
- Healthcare Utilization (1)
- (-) Health Information Technology (HIT) (28)
- Health Literacy (1)
- Health Status (1)
- Heart Disease and Health (2)
- Home Healthcare (2)
- (-) Hospitalization (28)
- Hospital Readmissions (2)
- Hospitals (4)
- Inpatient Care (6)
- Medication (2)
- Medication: Safety (2)
- Mortality (1)
- Nursing Homes (2)
- Obesity (1)
- Obesity: Weight Management (1)
- Outcomes (1)
- Patient-Centered Healthcare (1)
- Patient Adherence/Compliance (1)
- Patient and Family Engagement (4)
- Patient Experience (3)
- Patient Safety (4)
- Pneumonia (1)
- Prevention (2)
- Provider: Pharmacist (1)
- Quality Improvement (1)
- Quality Indicators (QIs) (1)
- Quality of Care (1)
- Racial and Ethnic Minorities (1)
- Risk (5)
- Shared Decision Making (1)
- Telehealth (4)
- Tobacco Use (1)
- Transitions of Care (1)
- Transplantation (1)
- Trauma (1)
- Web-Based (3)
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 28 Research Studies DisplayedStonko DP, Weller JH, Gonzalez Salazar AJ
A pilot machine learning study using trauma admission data to identify risk for high length of stay.
The purpose of this study was to design a tool that used only data available at time of admission for trauma to predict prolonged hospital length of stay (LOS). Data was collected from the trauma registry at an urban level-one adult trauma center. Single layer and deep artificial neural networks were trained to identify patients in the top quartile of LOS and optimized under the receiver operator characteristic curve. The results indicated that machine learning can predict which trauma patients will have prolonged LOS with physiologic and demographic data available at the time of admission. The authors concluded these patients may benefit from additional disposition planning resources at the time of admission.
AHRQ-funded; HS026640; HS024547; HS027793.
Citation: Stonko DP, Weller JH, Gonzalez Salazar AJ .
A pilot machine learning study using trauma admission data to identify risk for high length of stay.
Surg Innov 2023 Jun; 30(3):356-65. doi: 10.1177/15533506221139965..
Keywords: Trauma, Hospitalization, Health Information Technology (HIT)
Hobensack M, Ojo M, Barrón Y
Documentation of hospitalization risk factors in electronic health records (EHRs): a qualitative study with home healthcare clinicians.
The objectives of this study were to identify risk factors that home healthcare clinicians associate with patient deterioration and to understand clinicians’ response to and documentation of these risk factors. The authors interviewed multidisciplinary home healthcare clinicians and used directed content analysis to identify risk factors for deterioration. A total of 79 risk factors were identified by the clinicians, who responded most often by communicating with the prescribing provider or following up with patients and caregivers. Clinicians also acknowledged that social factors played a role in deterioration risk. The authors noted that, since most risk factors were documented in clinical notes, methods such as natural language processing are needed to extract them. They concluded that by providing a comprehensive list of risk factors grounded in clinician expertise and mapped to standardized terminologies, the results of their study supported the development of an early warning system for patient deterioration.
AHRQ-funded; HS027742.
Citation: Hobensack M, Ojo M, Barrón Y .
Documentation of hospitalization risk factors in electronic health records (EHRs): a qualitative study with home healthcare clinicians.
J Am Med Inform Assoc 2022 Apr 13;29(5):805-12. doi: 10.1093/jamia/ocac023..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Home Healthcare, Risk, Hospitalization
Kamran F, Tang S, Otles E
Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study.
The authors sought to create and validate a simple and transferable machine learning model from electronic health record data to accurately predict clinical deterioration in patients with COVID-19 across institutions, through use of a novel paradigm for model development and code sharing. They determined that a model to predict clinical deterioration was developed rapidly in response to the COVID-19 pandemic at a single hospital, was applied externally without the sharing of data, and performed well across multiple medical centers, patient subgroups, and time periods, showing its potential as a tool for use in optimizing healthcare resources.
AHRQ-funded; HS028038.
Citation: Kamran F, Tang S, Otles E .
Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study.
BMJ 2022 Feb 17;376:e068576. doi: 10.1136/bmj-2021-068576..
Keywords: COVID-19, Hospitalization, Risk, Electronic Health Records (EHRs), Health Information Technology (HIT)
Taber DJ, Fleming JN, Su Z
Significant hospitalization cost savings to the payer with a pharmacist-led mobile health intervention to improve medication safety in kidney transplant recipients.
This paper examined hospitalization cost savings to the payer with a pharmacist-led mobile health intervention to improve medication safety in kidney transplant recipients. This study was an economic analysis of a 12-month, parallel arm, randomized controlled trial in adult kidney recipients 6 to 36 months posttransplant (NCT03247322). All participants received usual posttransplant care, while the intervention arm received supplemental clinical pharmacist-led medication therapy monitoring and management, via a smartphone-enabled mHealth app, integrated with risk-based televisits.
AHRQ-funded; HS023754.
Citation: Taber DJ, Fleming JN, Su Z .
Significant hospitalization cost savings to the payer with a pharmacist-led mobile health intervention to improve medication safety in kidney transplant recipients.
Am J Transplant 2021 Oct;21(10):3428-35. doi: 10.1111/ajt.16737..
Keywords: Healthcare Costs, Provider: Pharmacist, Telehealth, Health Information Technology (HIT), Transplantation, Hospitalization, Medication: Safety, Medication
Legler S, Diehl M, Hilliard B
Evaluation of an intrahospital telemedicine program for patients admitted with COVID-19: mixed methods study.
This pilot study’s objective was to evaluate an intrahospital telemedicine program along with its impact on exposure risk and communication for patients admitted with COVID-19. Virtual care was the main primary exposure variable and patient characteristics, PPE use rates, and their association with virtual care were assessed. Out of 137 total patients in their primary analysis, 43 patients used virtual care. There were 82 inpatient days of use, and 401 inpatient days without use. Surveys of 41 patients and clinicians showed high rates of recommendation for further use. A significant reduction in PPE use and physical exam rate was associated with virtual care. However, there are limitations in usability, medical assessment, and empathetic communication.
AHRQ-funded; HS026732.
Citation: Legler S, Diehl M, Hilliard B .
Evaluation of an intrahospital telemedicine program for patients admitted with COVID-19: mixed methods study.
J Med Internet Res 2021 Apr 29;23(4):e25987. doi: 10.2196/25987..
Keywords: Telehealth, Health Information Technology (HIT), Hospitals, Hospitalization, Communication, COVID-19
MacEwan SR, Gaughan A, Hefner JL
Identifying the role of inpatient portals to support health literacy: perspectives from patients and care team members.
Health literacy is a fundamental contributor to an individual's ability to self-manage their health and appropriately use health care services. Tools that positively impact health literacy therefore have potential to improve health outcomes. Inpatient portals are a tool that provides patients an opportunity to cultivate health literacy skills during hospitalization. This study investigated how inpatient portal use could impact attributes of health literacy.
AHRQ-funded; HS024091; HS024767; HS024379.
Citation: MacEwan SR, Gaughan A, Hefner JL .
Identifying the role of inpatient portals to support health literacy: perspectives from patients and care team members.
Patient Educ Couns 2021 Apr;104(4):836-43. doi: 10.1016/j.pec.2020.09.028..
Keywords: Health Literacy, Health Information Technology (HIT), Hospitalization, Inpatient Care
Topaz M, Woo K, Ryvicker M
Home healthcare clinical notes predict patient hospitalization and emergency department visits.
About 30% of home healthcare patients are hospitalized or visit an emergency department (ED) during a home healthcare (HHC) episode. Novel data science methods are increasingly used to improve identification of patients at risk for negative outcomes. The aim of the study was to identify patients at heightened risk hospitalization or ED visits using HHC narrative data (clinical notes).
AHRQ-funded; HS027742.
Citation: Topaz M, Woo K, Ryvicker M .
Home healthcare clinical notes predict patient hospitalization and emergency department visits.
Nurs Res 2020 Nov/Dec;69(6):448-54. doi: 10.1097/nnr.0000000000000470..
Keywords: Elderly, Home Healthcare, Emergency Department, Hospitalization, Risk, Electronic Health Records (EHRs), Health Information Technology (HIT)
Haynes SC, Tancredi DJ, Tong K
Association of adherence to weight telemonitoring with health care use and death: a secondary analysis of a randomized clinical trial.
This study examined if heart failure patients who had lower adherence to weight telemonitoring had higher hospitalization and death rates. This study was a post hoc secondary analysis of the Better Effectiveness After Transition-Heart Failure randomized clinical trial which included patients from 6 academic medical centers in California. Criteria for eligibility was if they were hospitalized for decompensated heart failure. Exclusion criteria included if they were discharged to a skilled nursing facility, were expected to improve because of a medical procedure, or did not have the cognitive or physical ability to participate. The trial compared a telemonitoring intervention with usual care for patients with heart failure after hospital discharge from October 12, 2011 to September 30, 2013. The cohort of 538 eligible participants had a mean age of 70.9, was 53.8% male and 50.7% white. Adherence got better from week to week, and they found that every increase in adherence by 1 day was associated with a 19% decrease in the rate of death the following week and an 11% decrease in the rate of hospitalization. However, weight adherence is unlikely to be a result of the telemonitoring intervention.
AHRQ-funded; HS019311.
Citation: Haynes SC, Tancredi DJ, Tong K .
Association of adherence to weight telemonitoring with health care use and death: a secondary analysis of a randomized clinical trial.
JAMA Netw Open 2020 Jul;3(7):e2010174. doi: 10.1001/jamanetworkopen.2020.10174..
Keywords: Telehealth, Health Information Technology (HIT), Patient Adherence/Compliance, Obesity: Weight Management, Obesity, Heart Disease and Health, Cardiovascular Conditions, Hospitalization
Collins SA, Couture B, Smith AD
Mixed-methods evaluation of real-time safety reporting by hospitalized patients and their care partners: the MySafeCare application.
This study evaluated the effectiveness of a real-time safety reporting tool by hospitalized patients and their care partners compared with other reporting mechanisms. The study used mixed methods including 20-month preimplementation and postimplementation trials evaluating MySafeCare, a web-based applications which allows real time reporting by hospitalized patients/care partners. Submission rates to MySafeCare in three hospital units (oncology acute care, vascular intermediate care, medical intensive care) were compared to submission rates to the Patient Family Relations (PFR) Department, a hospital service to address family/patient concerns. Thirty-two MySafeCare submissions were received during the study period with an average rate of 1.7 submissions per 1000 patient-days. MySafeCare submission rates were significantly higher than PFR submission rates during the postintervention period on the vascular unit. PFR submissions decreased after MySafeCare implementation for all units.
AHRQ-funded; HS023535.
Citation: Collins SA, Couture B, Smith AD .
Mixed-methods evaluation of real-time safety reporting by hospitalized patients and their care partners: the MySafeCare application.
J Patient Saf 2020 Jun;16(2):e75-e81. doi: 10.1097/pts.0000000000000493..
Keywords: Patient Safety, Hospitalization, Inpatient Care, Health Information Technology (HIT), Caregiving
Walker DM, Hefner JL, Fareed N
Exploring the digital divide: age and race disparities in use of an inpatient portal.
Age and race disparities in the use of new technologies-the digital divide-may be limiting the potential of patient-facing health information technology to improve health and health care. The objective of this study was to investigate whether disparities exist in the use of patient portals designed specifically for the inpatient environment. The investigators identified lower use of the inpatient portal among African American and older patients, relative to White and younger patients, respectively.
AHRQ-funded; HS024379; HS024091; HS024349.
Citation: Walker DM, Hefner JL, Fareed N .
Exploring the digital divide: age and race disparities in use of an inpatient portal.
Telemed J E Health 2020 May;26(5):603-13. doi: 10.1089/tmj.2019.0065..
Keywords: Racial and Ethnic Minorities, Disparities, Health Information Technology (HIT), Inpatient Care, Hospitalization
Angraal S, Mortazavi BJ, Gupta A
Machine learning prediction of mortality and hospitalization in heart failure with preserved ejection fraction.
This study developed models to predict the risk of death and hospitalization in patients with heart failure (HF) with preserved ejection fraction (HFpEF). Data was used from the TOPCAT (Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist) clinical trial. Five methods: logistic regression with a forward selection of variables; logistic regression with a lasso regularization for variable selection; random forest (RF); gradient descent boosting; and support vector machine, were used to train models for assessing risks of mortality and HF hospitalization through 3 years of follow-up and were validated using 5-fold cross-validation. RF was found to be the best performing model for predicting mortality and HF hospitalization. Blood urea nitrogen levels, body mass index, and Kansas City Cardiomyopathy Questionnaire (KCCQ) subscale scores were strongly associated with mortality, while hemoglobin level, blood urea nitrogen, time since previous HF hospitalization, and KCCQ scores were the most significant predictors of HF hospitalization.
AHRQ-funded; HS023000.
Citation: Angraal S, Mortazavi BJ, Gupta A .
Machine learning prediction of mortality and hospitalization in heart failure with preserved ejection fraction.
JACC Heart Fail 2020 Jan;8(1):12-21. doi: 10.1016/j.jchf.2019.06.013..
Keywords: Heart Disease and Health, Cardiovascular Conditions, Mortality, Hospitalization, Risk, Health Status, Health Information Technology (HIT)
Cochran AL, Rathouz PJ, Kocher KE
A latent variable approach to potential outcomes for emergency department admission decisions.
The authors sought to provide a general framework to evaluate admission decisions from electronic healthcare records. They estimated that while admitting a patient with higher latent needs reduced the 30-day risk of revisiting the emergency department or later being admitted through the emergency department by over 79%, admitting a patient with lower latent needs actually increased these 30-day risks by 3.0% and 7.6%, respectively.
AHRQ-funded; HS024160.
Citation: Cochran AL, Rathouz PJ, Kocher KE .
A latent variable approach to potential outcomes for emergency department admission decisions.
Stat Med 2019 Sep 10;38(20):3911-35. doi: 10.1002/sim.8210..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Emergency Department, Clinical Decision Support (CDS), Shared Decision Making, Hospitalization
Ruaño G, Holford T, Seip RL
Pharmacogenetic clinical decision support for psychiatric hospitalization: design of the CYP-GUIDES randomized controlled trial.
The CYP-GUIDES (Cytochrome Psychotropic Genotyping Under Investigation for Decision Support) trial aims to establish evidence for clinical pharmacogenetics in psychotropic prescription in severely depressed inpatients. This article describes the design of a Randomized Controlled Trial (RCT) of CYP2D6 genotype-guided versus standard care psychotropic prescription. The CYP-GUIDES trial will assess whether clinical prescribing guided by CYP2D6 functional status can improve the treatment of psychiatric inpatients, shorten the length of hospitalization, and reduce readmission.
AHRQ-funded; HS022304.
Citation: Ruaño G, Holford T, Seip RL .
Pharmacogenetic clinical decision support for psychiatric hospitalization: design of the CYP-GUIDES randomized controlled trial.
Contemp Clin Trials 2019 Aug;83:27-36. doi: 10.1016/j.cct.2019.06.008..
Keywords: Behavioral Health, Hospitalization, Clinical Decision Support (CDS), Health Information Technology (HIT), Genetics
Dyer AP, Dodds Ashley E, Anderson DJ
Total duration of antimicrobial therapy resulting from inpatient hospitalization.
The purpose of this study was to assess the feasibility of electronic data capture of post-discharge durations and evaluate total durations of antimicrobial exposure related to inpatient hospital stays. Results showed that discharge antimicrobial therapy accounted for a large portion of antimicrobial exposure related to inpatient hospital stays and suggested that discharge prescription data can be feasibly captured through electronic prescribing records and may aid in designing stewardship interventions at transitions of care.
AHRQ-funded; HS023866.
Citation: Dyer AP, Dodds Ashley E, Anderson DJ .
Total duration of antimicrobial therapy resulting from inpatient hospitalization.
Infect Control Hosp Epidemiol 2019 Aug;40(8):847-54. doi: 10.1017/ice.2019.118..
Keywords: Antimicrobial Stewardship, Health Information Technology (HIT), Hospitalization, Patient Safety, Transitions of Care
Kelly MM, Thurber AS, Coller RJ
Parent perceptions of real-time access to their hospitalized child's medical records using an inpatient portal: a qualitative study.
In this study, the authors’ objectives were to identify why parents used an inpatient portal application on a tablet computer during their child's hospitalization and identify their perspectives of ways to optimize the technology. The investigators concluded that providing parents with real-time clinical information during their child's hospitalization using an inpatient portal may enhance their ability to engage in caregiving tasks critical to ensuring inpatient care quality and safety.
Citation: Kelly MM, Thurber AS, Coller RJ .
Parent perceptions of real-time access to their hospitalized child's medical records using an inpatient portal: a qualitative study.
Hosp Pediatr 2019 Apr;9(4):273-80. doi: 10.1542/hpeds.2018-0166..
Keywords: Children/Adolescents, Caregiving, Hospitalization, Electronic Health Records (EHRs), Health Information Technology (HIT), Clinician-Patient Communication
Masterson Creber RM, Grossman LV, Ryan B
Engaging hospitalized patients with personalized health information: a randomized trial of an inpatient portal.
This study examined the effects of an inpatient portal intervention on patient activation, patient satisfaction, patient engagement with health information, and 30-day hospital admissions. A randomized trial was conducted from March 2014 to May 2017 with 426 English- or Spanish-speaking patients from 2 cardiac medical-surgical units at an urban academic medical center. Patients were randomized into 3 groups: 1) usual care, 2) tablet with general Internet access, and 3) tablet with an inpatient portal. There was a difference in patient activation between the 3 groups, but the inpatient portal group had lower 30-day hospital admissions. There was also a difference with patient engagement with health information between the inpatient portal and tablet-only groups.
AHRQ-funded; HS021816.
Citation: Masterson Creber RM, Grossman LV, Ryan B .
Engaging hospitalized patients with personalized health information: a randomized trial of an inpatient portal.
J Am Med Inform Assoc 2019 Feb;26(2):115-23. doi: 10.1093/jamia/ocy146..
Keywords: Patient and Family Engagement, Electronic Health Records (EHRs), Health Information Technology (HIT), Hospitalization, Patient Experience, Inpatient Care
McAlearney AS, Fareed N, Gaughan A
Empowering patients during hospitalization: perspectives on inpatient portal use.
This study looked at the effects of instituting an inpatient portal at hospitals and its impact on feelings of patient empowerment. Patients (n=120) who used an inpatient portal were interviewed at day 15 of hospitalization or 6 months after discharge. They also interviewed care team members (n=331) at 4 weeks, 6 months, and 1 year after implementation about their perspectives on patient use of the portal. Three features were most commonly used: 1) ordering meals, 2) looking up health information, and 3) viewing the care team. Most patients did not feel comfortable using the secure message feature. The inpatient portal promoted independence, reduced anxiety, informed families, and increased empowerment. The findings suggest that hospitals should encourage implementation of inpatient portals in their institution.
AHRQ-funded; HS024091; HS024767; HS024379.
Citation: McAlearney AS, Fareed N, Gaughan A .
Empowering patients during hospitalization: perspectives on inpatient portal use.
Appl Clin Inform 2019 Jan;10(1):103-12. doi: 10.1055/s-0039-1677722..
Keywords: Health Information Technology (HIT), Patient and Family Engagement, Hospitalization, Hospitals
Prey JE, Polubriaginof F, Grossman LV
Engaging hospital patients in the medication reconciliation process using tablet computers.
Researchers conducted a pilot study to determine whether patients’ use of an electronic home medication review tool on a table computer could improve medication safety before or after hospitalization. Patients were randomized to the tool and out of 76 patients approached, 65 participated. About three-quarters (74%) made changes to their home medication list. Out of that total, 74% of the changes identified had a significant or greater potential severity, and 49% had a greater than 50-50 chance of harm. This medication reconciliation tool showed great potential to improve medication safety during and after hospitalization.
AHRQ-funded; HS021816.
Citation: Prey JE, Polubriaginof F, Grossman LV .
Engaging hospital patients in the medication reconciliation process using tablet computers.
J Am Med Inform Assoc 2018 Nov;25(11):1460-69. doi: 10.1093/jamia/ocy115..
Keywords: Adverse Drug Events (ADE), Adverse Events, Electronic Health Records (EHRs), Health Information Technology (HIT), Hospitalization, Hospitals, Medication, Medication: Safety, Patient and Family Engagement, Patient Safety, Prevention
Bhise V, Sittig DF, Vaghani V
An electronic trigger based on care escalation to identify preventable adverse events in hospitalised patients.
Researchers refined the methods of the Institute of Healthcare Improvement's Global Trigger Tool application and leveraged electronic health record data to improve detection of preventable adverse events, including diagnostic errors. In the studied sample, preventable adverse events were identified, including adverse drug events, patient falls, procedure-related complications, and hospital-associated infections. The authors concluded that such e-triggers can help overcome limitations of currently available methods to detect preventable harm in hospitalized patients.
AHRQ-funded; HS022087; HS023602.
Citation: Bhise V, Sittig DF, Vaghani V .
An electronic trigger based on care escalation to identify preventable adverse events in hospitalised patients.
BMJ Qual Saf 2018 Mar;27(3):241-46. doi: 10.1136/bmjqs-2017-006975..
Keywords: Adverse Events, Electronic Health Records (EHRs), Health Information Technology (HIT), Hospitalization, Hospitals, Patient Safety, Prevention, Quality of Care, Quality Improvement, Quality Indicators (QIs)
Kan HJ, Kharrazi H, Leff B
Defining and assessing geriatric risk factors and associated health care utilization among older adults using claims and electronic health records.
This study used electronic health records (EHRs) to identify patients with factors associated with geriatric risk for hospitalization among older adults. Prevalence was estimated using claims, structured EHRs, and unstructured EHRs. Odds were calculated on the occurrence of hospitalizations for patients with 1 or 2 and greater risk factors.
AHRQ-funded; HS000029.
Citation: Kan HJ, Kharrazi H, Leff B .
Defining and assessing geriatric risk factors and associated health care utilization among older adults using claims and electronic health records.
Med Care 2018 Mar;56(3):233-39. doi: 10.1097/mlr.0000000000000865..
Keywords: Elderly, Hospitalization, Healthcare Utilization, Risk, Electronic Health Records (EHRs), Health Information Technology (HIT)
Huerta TR, McAlearney AS, Rizer MK
Introducing a patient portal and electronic tablets to inpatient care.
The researchers implemented a pilot inpatient portal (MyChart Bedside [Epic Systems]) using Android tablets to provide patients and their families and caregivers with an expected care plan each day, a roster of the care team, the ability to exchange secure messages with the care team, a way to write and save notes, and access to health information. They conducted the 90-day pilot program in 15 rooms on 1 patient unit in each of 2 hospitals and gave tablets to 179 patients. They found that patients wanted immediate access to laboratory results, that patients admitted for 1-2 days found the tablets less important, that those readmitted insisted on having a tablet, and that those with their own electronic devices were less likely to accept the tablet.
AHRQ-funded; HS024091.
Citation: Huerta TR, McAlearney AS, Rizer MK .
Introducing a patient portal and electronic tablets to inpatient care.
Ann Intern Med 2017 Dec 5;167(11):816-17. doi: 10.7326/m17-1766.
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Keywords: Health Information Technology (HIT), Hospitalization, Inpatient Care, Web-Based, Electronic Health Records (EHRs)
Nahhas GJ, Wilson D, Talbot V
Feasibility of implementing a hospital-based "opt-out" tobacco-cessation service.
This study assessed the feasibility and outcomes of implementing a hospital-based "opt-out" tobacco-cessation service. The service consisted of a bedside consult and phone follow-up 3, 14, and 30 days after hospital discharge using interactive-voice-response. Findings from this study suggest that an inpatient smoking-cessation service with an "opt-out" approach can positively impact short-term cessation outcomes.
AHRQ-funded; HS023863.
Citation: Nahhas GJ, Wilson D, Talbot V .
Feasibility of implementing a hospital-based "opt-out" tobacco-cessation service.
Nicotine Tob Res 2017 Aug;19(8):937-43. doi: 10.1093/ntr/ntw312.
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Keywords: Health Information Technology (HIT), Hospitalization, Tobacco Use, Outcomes
Makam AN, Nguyen OK, Clark C
Predicting 30-day pneumonia readmissions using electronic health record data.
The objective of this study was to develop pneumonia-specific readmission risk-prediction models using EHR data from the first day and from the entire hospital stay ("full stay"). The investigators concluded that EHR data collected from the entire hospitalization can accurately predict readmission risk among patients hospitalized for pneumonia. They suggest that this approach outperforms a first-day pneumonia-specific model, the Centers for Medicare and Medicaid Services pneumonia model, and 2 commonly used pneumonia severity of illness scores.
AHRQ-funded; HS022418.
Citation: Makam AN, Nguyen OK, Clark C .
Predicting 30-day pneumonia readmissions using electronic health record data.
J Hosp Med 2017 Apr;12(4):209-16. doi: 10.12788/jhm.2711..
Keywords: Pneumonia, Hospital Readmissions, Hospitalization, Electronic Health Records (EHRs), Health Information Technology (HIT)
Prochaska MT, Press VG, Meltzer DO
Patient perceptions of wearable face-mounted computing technology and the effect on the doctor-patient relationship.
The authors aimed to determine patients' perception of and their privacy concerns with Google Glass. They found that the majority, 64% of respondents, appeared open to and would want their doctor to use face-mounted wearable computers such as Google Glass, even when they were unfamiliar with this technology. Although some patients expressed concerns about privacy, the authors found that patients were much less concerned about wearable technologies affecting the trust they have in their physician.
AHRQ-funded; HS023007.
Citation: Prochaska MT, Press VG, Meltzer DO .
Patient perceptions of wearable face-mounted computing technology and the effect on the doctor-patient relationship.
Appl Clin Inform 2016 Oct 12;7(4):946-53. doi: 10.4338/aci-2016-06-le-0094.
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Keywords: Health Information Technology (HIT), Hospitalization, Patient-Centered Healthcare, Patient Experience, Clinician-Patient Communication
Driessen J, Bonhomme A, Chang W
Nursing home provider perceptions of telemedicine for reducing potentially avoidable hospitalizations.
The goal of this study was to survey a nationally representative sample of nursing home physicians and advanced practice providers to quantify provider perceptions and desired functionality of telemedicine in nursing homes to reduce potentially avoidable hospitalizations. The authors found that there is a high degree of confidence in the potential for a telemedicine solution and concrete views about its features, concluding that further research is needed to study the impact of successful implementations.
AHRQ-funded; HS018721; HS022989; HS022465; HS023779.
Citation: Driessen J, Bonhomme A, Chang W .
Nursing home provider perceptions of telemedicine for reducing potentially avoidable hospitalizations.
J Am Med Dir Assoc 2016 Jun;17(6):519-24. doi: 10.1016/j.jamda.2016.02.004.
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Keywords: Health Information Technology (HIT), Hospital Readmissions, Hospitalization, Nursing Homes, Telehealth