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1.
Am J Infect Control ; 41(4): 307-11, 2013 Apr.
Article in English | MEDLINE | ID: mdl-22921825

ABSTRACT

BACKGROUND: In 2008, hospitals were selected to participate in the California Healthcare-Associated Infection Prevention Initiative (CHAIPI). This research evaluates the impact of CHAIPI on hospital adoption and implementation of evidence-based patient safety practices and reduction of health care-associated infection (HAI) rates. METHODS: Statewide computer-assisted telephone surveys of California's general acute care hospitals were conducted in 2008 and 2010 (response rates, 80% and 76%, respectively). Difference-in-difference analyses were used to compare changes in process and HAI rate outcomes in CHAIPI hospitals (n = 34) and non-CHAIPI hospitals (n = 149) that responded to both waves of the survey. RESULTS: Compared with non-CHAIPI hospitals, CHAIPI hospitals demonstrated greater improvements between 2008 and 2010 in adoption (P = .021) and implementation (P = .012) of written evidence-based practices for overall patient safety and prevention of HAIs and in assessing their compliance (P = .033) with these practices. However, there were no significant differences in the changes in HAI rates between CHAIPI and non-CHAIPI hospitals over this time period. CONCLUSIONS: Participation in the CHAIPI collaborative was associated with significant improvements in evidence-based patient safety practices in hospitals. However, determining how evidence-based practices translate into changes in HAI rates may take more time. Our results suggest that all hospitals be offered the opportunity to participate in an active learning collaborative to improve patient safety.


Subject(s)
Cross Infection/prevention & control , Hospitals, General , Infection Control/methods , Patient Safety , California/epidemiology , Cross Infection/epidemiology , Health Services Research , Humans , Interviews as Topic
2.
Am J Med Qual ; 20(1): 40-50, 2005.
Article in English | MEDLINE | ID: mdl-15782754

ABSTRACT

California Nursing Home Search (www.calnhs.org), launched in October 2002, provides information about nursing home quality to a broad range of stakeholders. This case study discusses the process of developing a consumer-oriented nursing home Web site and presents an analysis of postlaunch responses from a number of sources (i.e., media, outreach, Web site use, correspondence, meetings, interviews) to determine the impact of the site and how it can be improved and used as an example. Consumers found the Web site valuable, but some needed clarification on navigation. Providers had complaints about the use of quality ratings and concerns about public availability of the data. Most discharge planners and care managers do not use Internet resources to find facilities. Feedback, modifications, updates, and outreach are needed on a continuous basis to ensure the site is a helpful tool for all stakeholders.


Subject(s)
Consumer Behavior/statistics & numerical data , Information Services/organization & administration , Information Systems/organization & administration , Internet , Nursing Homes/standards , Quality Indicators, Health Care , California , Humans , Information Services/statistics & numerical data , Information Systems/statistics & numerical data , Organizational Case Studies , User-Computer Interface
4.
Gerontologist ; 43 Spec No 2: 47-57, 2003 Apr.
Article in English | MEDLINE | ID: mdl-12711724

ABSTRACT

PURPOSE: This article presents a rationale and conceptual framework for making comprehensive consumer information about nursing facilities available. Such information can meet the needs of various stakeholder groups, including consumers, family/friends, health professionals, providers, advocates, ombudsman, payers, and policy makers. DESIGN AND METHODS: The rationale and framework are based on a research literature review of key quality indicators for nursing facilities. RESULTS: The findings show six key areas for information: (a) facility characteristics and ownership; (b) resident characteristics; (c) staffing indicators; (d) clinical quality indicators; (e) deficiencies, complaints, and enforcement actions; and (f) financial indicators. This information can assist in selecting, monitoring, and contracting with nursing facilities. IMPLICATIONS: Model information systems can be designed using existing public information, but the information needs to be enhanced with improved data.


Subject(s)
Nursing Homes/standards , Information Dissemination , Nursing Homes/economics , Ownership , United States
5.
Am J Med Qual ; 18(1): 21-37, 2003.
Article in English | MEDLINE | ID: mdl-12583642

ABSTRACT

Since the introduction of the Medicare Nursing Home Compare website in 1999, some states have begun to develop their own websites to help consumers compare nursing facilities (NFs). This article presents a brief conceptual framework for the type of information needed for an Internet-based information system and analyzes existing federal and state NF websites, using data collected from a survey completed in 2002. Twenty-four states and the District of Columbia have a variety of information on NFs, similar to the information on the Medicare website. Information on characteristics and deficiencies of a facility is the most commonly available, but a few states have data on ownership, staffing indicators, quality indicators, complaints, and enforcement actions. Other types of data, such as resident characteristics, staff turnover rates, and financial indicators, are generally not available. Although many states are making progress toward providing consumers with information, there are gaps that exist, which if filled, could provide consumers with a better tool for facility selection and monitoring the quality of care.


Subject(s)
Health Care Surveys , Information Dissemination , Internet , Nursing Homes/standards , Quality Indicators, Health Care , Aged , Certification , Consumer Behavior , Decision Making , Federal Government , Humans , Inpatients , Licensure , Nursing Homes/classification , Nursing Homes/organization & administration , Ownership , Personnel Staffing and Scheduling , Personnel Turnover , State Government , United States
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