Correction: Effect of a Pharmacy-Based Health Literacy Intervention and Patient Characteristics on Medication Refill Adherence in an Urban Health System

2010 ◽  
Vol 44 (2) ◽  
pp. 395-396
Keyword(s):  
Health Literacy ◽  
Health System ◽  
Urban Health ◽  
Patient Characteristics ◽  
Literacy Intervention ◽  
Correction Effect ◽  
Medication Refill ◽  
Refill Adherence

Effect of a Pharmacy-Based Health Literacy Intervention and Patient Characteristics on Medication Refill Adherence in an Urban Health System

2010 ◽  
Vol 44 (1) ◽  
pp. 80-87 ◽  
Author(s):  
Julie Gazmararian ◽  
Kara L Jacobson ◽  
Yi Pan ◽  
Brian Schmotzer ◽  
Sunil Kripalani
Keyword(s):  
Health Literacy ◽  
Health System ◽  
Urban Health ◽  
Patient Characteristics ◽  
Literacy Intervention ◽  
Medication Refill ◽  
Refill Adherence

scholarly journals OP0257-PARE USING PATIENT HEALTH LITERACY PROFILES TO IDENTIFY SOLUTIONS TO CHALLENGES FACED IN RHEUMATOLOGY CARE

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 162.2-162
Author(s):  
M. Bakker ◽  
P. Putrik ◽  
J. Rademakers ◽  
M. Van de Laar ◽  
H. Vonkeman ◽  
...  
Keyword(s):  
Health Literacy ◽  
The Netherlands ◽  
Health System ◽  
Demographic Data ◽  
Family Doctor ◽  
List Type ◽  
Research Support ◽  
Score Distribution ◽  
Patient Health ◽  
Literacy Profiles

Background:The prevalence of limited health literacy (i.e. cognitive and social resources of individuals to access, understand and apply health information to promote and maintain good health) in the Netherlands is estimated to be over 36% [1]. Access to and outcomes of rheumatological care may be compromised by limited patient health literacy, yet little is known about how to address this, thus action is required. As influencing individual patients’ health literacy in the rheumatology context is often unrealistic, it is paramount for the health system to be tailored to the health literacy needs of its patients. The OPtimising HEalth LIteracy and Access (Ophelia) process offers a method to inform system change [2].Objectives:Following the Ophelia approach:a. Identify health literacy profiles reflecting strengths and weaknesses of outpatients with RA, SpA and gout.b. Use the health literacy profiles to facilitate discussions on challenges for patients and professionals in rheumatological care and identify possible solutions the health system could offer to address these challenges.Methods:Patients with RA, SpA and gout attending outpatient clinics in three centres in the Netherlands completed the Health Literacy Questionnaire (HLQ) and questions on socio-demographic and health-related characteristics. Hierarchical cluster analysis using Ward’s method identified clusters based on the nine HLQ domains. Three researchers jointly examined 24 cluster solutions for meaningfulness by interpreting HLQ domain scores and patient characteristics. Meaningful clusters were translated into health literacy profiles using HLQ patterns and demographic data. A patient research partner confirmed the identified profiles. Patient vignettes were designed by combining cluster analyses results with qualitative patient interviews. The vignettes were used in two two-hour co-design workshops with rheumatologists and nurses to discuss their perspective on health literacy-related challenges for patients and professionals, and generate ideas on how to address these challenges.Results:In total, 895 patients participated: 49% female, mean age 61 years (±13.0), 25% lived alone, 18% had a migrant background, 6.6% did not speak Dutch at home and 51% had low levels of education. Figure 1 shows a heat map of identified health literacy profiles, displaying the score distribution per profile across nine health literacy domains. Figure 2 shows an excerpt of a patient vignette, describing challenges for a patient with profile number 9. The workshops were attended by 7 and 14 nurses and rheumatologists. Proposed solutions included health literacy communication training for professionals, developing and improving (visual) patient information materials, peer support for patients through patient associations or group consultations, a clear referral system for patients who need additional guidance by a nurse, social worker, lifestyle coach, pharmacist or family doctor, and more time with rheumatology nurses for target populations. Moreover, several system adaptations to the clinic, such as a central desk for all patient appointments, were proposed.Conclusion:This study identified several distinct health literacy profiles of patients with rheumatic conditions. Engaging with health professionals in co-design workshops led to numerous bottom-up ideas to improve care. Next steps include co-design workshops with patients, followed by prioritising and testing proposed interventions.References:[1]Heijmans M. et al. Health Literacy in the Netherlands. Utrecht: Nivel 2018[2]Batterham R. et al. BMC Public Health 2014, 14:694Disclosure of Interests:Mark Bakker: None declared, Polina Putrik: None declared, Jany Rademakers Speakers bureau: In March 2017, Prof. Dr. Rademakers was invited to speak about health literacy at the “Heuvellanddagen” Conference, hosted by Janssen-Cilag., Mart van de Laar Consultant of: Sanofi Genzyme, Speakers bureau: Sanofi Genzyme, Harald Vonkeman: None declared, Marc R Kok Grant/research support from: BMS and Novartis, Consultant of: Novartis and Galapagos, Hanneke Voorneveld: None declared, Sofia Ramiro Grant/research support from: MSD, Consultant of: Abbvie, Lilly, Novartis, Sanofi Genzyme, Speakers bureau: Lilly, MSD, Novartis, Maarten de Wit Grant/research support from: Dr. de Wit reports personal fees from Ely Lilly, 2019, personal fees from Celgene, 2019, personal fees from Pfizer, 2019, personal fees from Janssen-Cilag, 2017, outside the submitted work., Consultant of: Dr. de Wit reports personal fees from Ely Lilly, 2019, personal fees from Celgene, 2019, personal fees from Pfizer, 2019, personal fees from Janssen-Cilag, 2017, outside the submitted work., Speakers bureau: Dr. de Wit reports personal fees from Ely Lilly, 2019, personal fees from Celgene, 2019, personal fees from Pfizer, 2019, personal fees from Janssen-Cilag, 2017, outside the submitted work., Richard Osborne Consultant of: Prof. Osborne is a paid consultant for pharma in the field of influenza and related infectious diseases., Roy Batterham: None declared, Rachelle Buchbinder: None declared, Annelies Boonen Grant/research support from: AbbVie, Consultant of: Galapagos, Lilly (all paid to the department)

scholarly journals 365. Characteristics and outcomes of COVID-19 patients admitted to a regional health system in the southeast

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S251-S253
Author(s):  
Charles Teixeira ◽  
Henry Shiflett ◽  
Deeksha Jandhyala ◽  
Jessica Lewis ◽  
Scott R Curry ◽  
...  
Keyword(s):  
Renal Failure ◽  
Health System ◽  
Patient Characteristics ◽  
Supplemental Oxygen ◽  
Regional Health ◽  
Cancer Symptoms ◽  
Presenting Symptoms ◽  
Global Pandemic ◽  
Male Sex ◽  
Previous Admission

Abstract Background COVID-19, first described in Wuhan, China, is now a global pandemic. We describe a cohort of patients (pts) admitted to our academic health system (HS) in the southeast, where demographics and comorbidities differ significantly from other regions in the U.S. Methods This was a retrospective review of 161 consecutive pts admitted with COVID-19 from 3/12/20 to 6/1/20. We assessed demographics, comorbidities, presenting symptoms, treatments and outcomes and compared pts who died during hospitalization to those who survived to discharge (EpiInfo 7.2, Atlanta, GA). Results Mean age was 60.5 years, 51.6% were female, 72% African American (AA) and 69.6% admitted from home. 54.5% had a BMI >30, 72% had HTN, 47.2% diabetes, and 33.6% COPD or asthma. The majority (68.8%) presented with fever (>38.0) and required supplemental oxygen within 8 hours of admission (63.4%). Cough (65.6%), dyspnea (57.5%), myalgias (30.6%) and diarrhea (23.8%) were also common. 40.4% received hydroxychloroquine, 23.6% steroids and 19.9% convalescent plasma. 42.9% required ICU care, 27.3% were intubated, and 19.3% died. Characteristics associated with death included older age, male sex, HTN, ESRD on HD, and cancer. Symptoms associated with death included absence of cough, absence of myalgias, previous admission for COVID-19, tachypnea, need for supplemental oxygen, elevated BUN and creatinine, and elevated ferritin. Interventions associated with death included use of steroids, receipt of ICU care, intubation, delay to intubation, and use of vasopressors or inotropes. Complications associated with death included development of a new arrhythmia, bacteremia, pneumonia, ARDS, thrombosis, and new renal failure requiring HD (Table). Table 1. Patient Characteristics by Death Table 2. Patient Characteristics by Death Table 3. Patient Characteristics by Death Conclusion COVID-19 pts admitted to our southeast U.S. HS had significant comorbidities, most commonly obesity, HTN, and diabetes. Additionally, AA comprised a disproportionate share (72%) of our cohort compared to the general population of our state (30%), those tested in our region (32.9%), and those found to be positive for COVID-19 (35.8%). In-hospital mortality was 19.3% and intubation, particularly if delayed, was associated with death as were several complications, most notably arrhythmia, ARDS, and renal failure with HD. Disclosures All Authors: No reported disclosures

scholarly journals Patient Characteristics Associated with Telemedicine Use at a Large Academic Health System Before and After COVID-19

2021 ◽  
Author(s):  
Preeti Kakani ◽  
Andrea Sorensen ◽  
Jacob K. Quinton ◽  
Maria Han ◽  
Michael K. Ong ◽  
...  
Keyword(s):  
Health System ◽  
Patient Characteristics ◽  
Academic Health ◽  
Before And After

scholarly journals Longitudinal changes in age and race of patients with SARS-CoV-2 in a multi-hospital health system

2021 ◽  
Author(s):  
Ian J. Barbash ◽  
Lee H. Harrison ◽  
Jana L. Jacobs ◽  
Faraaz Ali Shah ◽  
Tomeka L. Suber ◽  
...  
Keyword(s):  
Health System ◽  
Severe Disease ◽  
Patient Characteristics ◽  
The United States ◽  
Electronic Health Record Data ◽  
Younger Patients ◽  
Ethnic Subgroups ◽  
Media Reports ◽  
Alpha Variant ◽  
The Impact

ABSTRACTBackgroundThe COVID-19 pandemic continues to affect the United States and the world. Media reports have suggested that the wave of the alpha variant in the Spring of 2021 in the US caused more cases among younger patients and racial and ethnic subgroups.ApproachWe analyzed electronic health record data from a multihospital health system to test whether younger patients accounted for more cases and more severe disease, and whether racial disparities are widening. We compared demographics, patient characteristics, and hospitalization variables for patients admitted from November 2020 through January 2021 to those admitted in March and April 2021.ResultsWe analyzed data for 37, 502 unique inpatients and outpatients at 21 hospitals from November 1, 2020 to April 30, 2021. Compared to patients from November through January, those with positive tests in March and April were younger and less likely to die. Among patients under age 50, those with positive tests in March and April were three times as likely to be hospitalized and twice as likely to require ICU admission or mechanical ventilation. Individuals identified as Black represented a greater proportion of cases and hospitalizations in March and April as compared to November through January.ConclusionsWe found that relative COVID-19 hospitalization rates for younger individuals and individuals identified as Black were rising over time. These findings have important implications for ongoing public health measures to mitigate the impact of the pandemic.

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