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DRCHSD Monthly Newsletter - May 2023

CAHs Can! QI Mentor Series - Improving Durable Medical Equipment Process
Data: CAHs Measure Up – OP-18 Performance
Tips: Robyn Quips – Abstraction Tidbits
Tools and Resources – Helping CAHs Succeed in Quality Reporting & Improvement

Guadalupe County Hospital  (GCH) is a 10-bed, not-for-profit, Sole Community Hospital providing acute care, emergency medicine, imaging, pain management, laboratory, and related outpatient ancillary services to the residents of Santa Rosa, New Mexico, and the surrounding communities.

RHPTP e-Newsletter | April 2023

CAHs Can! Engaging Hospital Boards in Quality
Data: CAHs Measure Up – New Birthing-Friendly Hospital Designation
Tips: Robyn Quips – Annual Measures OP 22 and HCP
Tools and Resources – Helping CAHs Succeed in Quality Reporting & Improvement

RHPTP e-Newsletter | March 2023

DRCHSD Monthly Newsletter - March 2023

The Lawrence County Health Department (LCHD) is a public health department offering behavioral, environmental, public, and home health services to the residents of Lawrence County, IL, and surrounding communities. LCHD was one of four organizations selected to participate in the 2020-2021 Rural Health Provider Transition Project. Read more about their top accomplishments here.

CAHs Can! How Critical Access Hospitals Improved Patient Experience During the Pandemic
Data: CAHs Measure Up – HCAHPS Performance in 2021
Tips: Robyn Quips – CART Tool
Tools and Resources – Helping Critical Access Hospitals Succeed in Quality Reporting & Improvement

View the DRCHSD Monthly Newsletter - February 2023

Information on the pilot tests for a tool created by The Paramedic Foundation for rural ambulance services, the Community Benefit and Financial Distress Tool.

CAHs Can! National Rural Virtual Quality Improvement Mentor Profile Series: Linda Webb
Data: CAHs Measure Up – EDTC Measure Reporting Trends
Tips: Robyn Quips – MBQIP Measure Updates
Tools and Resources – Helping Critical Access Hospitals Succeed in Quality Reporting & Improvement

The National Rural Health Resource Center, the leading technical assistance and knowledge center focused on rural health, has launched a newly designed website that offers a fresh, modern look and promises an improved user experience to visitors from hospitals, clinics, state and federal agencies, and others. The new site is part of a larger brand refresh that includes the adoption of an updated logo and other design elements.

CAHs Can! National Rural Virtual Quality Improvement Mentor Profile Series: Tammy Sudtelgte
Data: CAHs Measure Up – MBQIP Annual Reports: What Are They, and What Do They Tell Us?
Tips: Robyn Quips – Year-end and New Year Abstraction Reminders
Tools and Resources – Helping Critical Access Hospitals Succeed in Quality Reporting & Improvement

This analysis aims to compare the incidence of Chronic obstructive pulmonary disease (COPD) related to risk factors and geographic characteristics such as obesity, smoking, uninsured, race, and rurality for each county and state.

The purpose of this analysis is to compare diabetes rates and population age for each county and state.

The purpose of this analysis is to compare the incidence of strokes related to risk factors and geographic characteristics such as incidence of high blood pressure, high cholesterol, rate of the population that performs cholesterol screening, use of high cholesterol medicine, uninsured rates, race, and rurality for each county and state.

This analysis aims to identify a potential association between homicides, motor vehicle accidents, and injuries based on poverty rates for each county and state.

The purpose of this analysis is to compare the rates of patients who reported that they were given information about what to do during their recovery at home, given the rates of readmissions and mortality for acute myocardial infarction, coronary artery bypass grafting (CABG), chronic obstructive pulmonary disease, stroke, heart failure, pneumonia, and hip/knee replacement at multiple levels, including state, county, and hospital type.

This analysis aims to identify wait times and leave percentages across different types of hospitals.