Dataset Information

Quality of care in one Italian nursing home measured by ACOVE process indicators.

ABSTRACT:

Objectives

To adapt the Assessing Care of Vulnerable Elders Quality Indicators (ACOVE QIs) for use in Italy, to assess the adherence to these indicators as reported in the medical records of residents in a nursing home (NH), to compare this adherence for general medical and geriatric conditions, and eventually, to identify the relationships between patients' characteristics and reported processes of care.

Methods

Two physicians collected the data by reviewing medical records of all NH residents in the previous 5 years, for a period of one year. Patients aged <65 years were excluded. A total of 245 patients were reviewed during the study period. The ACOVE QIs set, developed for NH processes of care, was used to assess the quality of care. Multivariate analysis was performed to identify and to assess the role of patients' characteristics on quality of processes of care by several domains of care in general medical and geriatric conditions.

Results

With the exception of diabetes management, quality of processes of care for general medical conditions approached adequate adherence. Care falls substantially short of acceptable levels for geriatric conditions (pressure ulcers, falls, dementia). On the contrary, the recommended interventions for urinary incontinence were commonly performed. Adherence to indicators varied for the different domains of care and was proven worse for the screening and prevention indicators both for geriatric and general medical conditions. Statistical analysis showed disparities in provision of appropriate processes of care associated with gender, age, co-morbidities, level of function and mobility, length of stay and modality of discharge by NHs.

Conclusions

Adherence to recommended processes of care delivered in NH is inadequate. Substantial work lies ahead for the improvement of care. Efforts should focus particularly on management of geriatric conditions and on preventive healthcare.

SUBMITTER: Pileggi C

PROVIDER: S-EPMC3968054 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Quality of care in one Italian nursing home measured by ACOVE process indicators.

Pileggi Claudia C Manuti Benedetto B Costantino Rosa R Bianco Aida A Nobile Carmelo G A CG Pavia Maria M

PloS one 20140327 3

<h4>Objectives</h4>To adapt the Assessing Care of Vulnerable Elders Quality Indicators (ACOVE QIs) for use in Italy, to assess the adherence to these indicators as reported in the medical records of residents in a nursing home (NH), to compare this adherence for general medical and geriatric conditions, and eventually, to identify the relationships between patients' characteristics and reported processes of care.<h4>Methods</h4>Two physicians collected the data by reviewing medical records of al ...[more]

PMID: 24675745

Similar Datasets

Project description:ImportanceWhile the number of prescribing clinicians (physicians and nurse practitioners) who provide any nursing home care remained stable over the past decade, the number of clinicians who focus their practice exclusively on nursing home care has increased by over 30%.ObjectivesTo measure the association between regional trends in clinician specialization in nursing home care and nursing home quality.DesignRetrospective cross-sectional study.Setting and participantsPatients treated in 15,636 nursing homes in 305 US hospital referral regions between 2013 and 2016.MeasuresClinician specialization in nursing home care for 2012-2015 was measured using Medicare fee-for-service billings. Nursing home specialists were defined as generalist physicians (internal medicine, family medicine, geriatrics, and general practice) or advanced practitioners (nurse practitioners and physician assistants) with at least 90% of their billings for care in nursing homes. The number of clinicians was aggregated at the hospital referral region level and divided by the number of occupied Medicare-certified nursing home beds. Nursing Home Compare quality measure scores for 2013-2016 were aggregated at the HHR level, weighted by occupied beds in each nursing home in the hospital referral region. We measured the association between the number of nursing home specialists per 1000 beds and the clinical quality measure scores in the subsequent year using linear regression.ResultsAn increase in nursing home specialists per 1000 occupied beds in a region was associated with lower use of long-stay antipsychotic medications and indwelling bladder catheters, higher prevalence of depressive symptoms, and was not associated with urinary tract infections, use of restraints, or short-stay antipsychotic use.Conclusions and implicationsHigher prevalence of nursing home specialists was associated with regional improvements in 2 of 6 quality measures. Future studies should evaluate whether concentrating patient care among clinicians who specialize in nursing home practice improves outcomes for individual patients. The current findings suggest that prescribing clinicians play an important role in nursing home care quality.

Project description:BACKGROUND:One way of measuring the quality of home care are quality indicators (QIs) derived from data collected with the Resident Assessment Instrument-Home Care (RAI-HC). In order to produce meaningful results for quality improvement and quality comparisons across home care organizations (HCOs) and over time, RAI-HC QIs must be valid and reliable. The aim of this systematic review was to identify currently existing RAI-HC QIs and to summarize the scientific knowledge on the validity and reliability of these QIs. METHODS:A systematic review was performed using the electronic databases PubMed, CINAHL, Embase, PsycINFO and Cochrane Library. Studies describing the development process or the psychometric characteristics of RAI-HC QIs were eligible. The data extraction involved a general description of the included studies as well as the identified RAI-HC QIs and information on validity and reliability. The methodological quality of the identified RAI-HC QI sets was assessed using the Appraisal of Indicators through Research and Evaluation (AIRE) instrument. RESULTS:Four studies out of 659 initial hits met the inclusion criteria. The included studies described the development and validation process of three RAI-HC QI sets comprising 48 unique RAI-HC QIs, which predominantly refer to outcome of care. Overall, the validity and reliability of the identified RAI-HC QIs were not sufficiently tested. The methodological quality of the three identified RAI-HC QI sets varied across the four AIRE instrument domains. None of the QI sets reached high methodological quality, defined as scores of 50% and higher in all four AIRE instrument domains. CONCLUSIONS:This is the first review that systematically summarized and appraised the available scientific evidence on the validity and reliability of RAI-HC QIs. It identified insufficient reporting of RAI-HC QIs validation processes and reliability as well as missing state-of-the-art methodologies. The review provides guidance as to what additional validity and reliability testing are needed to strengthen the scientific soundness of RAI-HC QIs. Considering that RAI-HC QIs are already implemented and used to measure and compare quality of home care, further investigations on RAI-HC QIs reliability and validity is recommended.

Dataset Information

Quality of care in one Italian nursing home measured by ACOVE process indicators.

Objectives

Methods

Results

Conclusions

Publications

Quality of care in one Italian nursing home measured by ACOVE process indicators.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets