A modified Delphi method was used to determine thresholds for Minimum Data Set quality indicators for Icelandic nursing homes. The thresholds were then applied to quality outcomes in Icelandic nursing homes for the year 2009. The thresholds indicate areas of good or poor care and can be used for planning services. Icelandic nursing homes seem to be doing best in incontinence and nutritional care. However, improvement is needed in care practices for depression, medication, and activity.

Download full-text PDF

Source
http://dx.doi.org/10.1097/NCQ.0b013e3182493646DOI Listing

Publication Analysis

Top Keywords

icelandic nursing
16
nursing homes
16
thresholds minimum
8
minimum data
8
data set
8
set quality
8
quality indicators
8
thresholds
4
indicators developed
4
developed applied
4

Similar Publications

Concordance with routine Clinical Frailty Scale screening in the frailty in European emergency departments (FEED) study.

Int Emerg Nurs

December 2024

College of Life Sciences, University of Leicester, Leicester, UK; Centre for Urgent and Emergency Care Research, University of Sheffield, Sheffield, UK. Electronic address:

Article Synopsis
  • The study highlights the low rate of frailty screening among older Emergency Department patients, with only 50% receiving the necessary assessments.
  • A comparison of frailty data revealed significant discrepancies between routine and targeted screening, with a notable portion of entries missing, particularly among non-white patients and those who self-present.
  • These findings indicate potential biases in the screening process, suggesting a need for improvements to ensure fair and effective assessments for all patients.
View Article and Find Full Text PDF

Aim: To know the nurses' attitudes toward family involvement in nursing care and factors that can influence it.

Design: A cross-sectional design study was carried out on 253 clinical nurses.

Methods: Data was collected from 253 clinical nurses using the Families' Importance in Nursing Care-Nurses' Attitudes Scale, the Demand-Control-Support Questionnaire (DCSQ) and the Iceland Health Care Practitioner Illness Beliefs Questionnaire.

View Article and Find Full Text PDF
Article Synopsis
  • Federated networks enhance data privacy by allowing analysis without transferring sensitive data, supporting trustworthy data analysis in healthcare research.
  • The International COVID-19 Data Alliance (ICODA) tested a federated network with partners to analyze data from the International Perinatal Outcome in the Pandemic (iPOP) Study, facing both challenges and benefits in the process.
  • Establishing these networks requires significant investment and planning for technology and governance, which can lead to powerful collaborative research opportunities using health data from various countries.
View Article and Find Full Text PDF

Background: In 2021, a survey was conducted among doctors and nurses at Landspítali Iceland University Hospital (LIUH) regarding their views on medical assistance in dying (MAID) and the underlying arguments, the inclusion criteria and modality of implementation. Surveys on identically defined study groups in 1995 and 2010 were used for comparison.

Methods: The survey was sent to 357 doctors and 516 nurses working at LIUH.

View Article and Find Full Text PDF
Article Synopsis
  • - This study aimed to find the best time for labor induction in normotensive singleton pregnancies to reduce risks like stillbirth, analyzing 70,293 births in Iceland from 1997 to 2018 while excluding high-risk cases.
  • - Results showed that inducing labor at or after 40 weeks decreased cesarean rates without increasing adverse outcomes, while earlier inductions did not show significant benefits.
  • - The conclusion emphasized that inducing labor post-40 weeks is safer for women without heightening risks for mothers or babies, and earlier induction in low-risk pregnancies isn’t beneficial.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!