scholarly journals Relationships Between Context, Process, and Outcome Indicators to Assess Quality of Physiotherapy Care in Patients with Whiplash-Associated Disorders: Applying Donabedian’s Model of Care

2020 ◽  
Vol Volume 14 ◽  
pp. 425-442 ◽  
Author(s):  
Rob AB Oostendorp ◽  
JW Hans Elvers ◽  
Emiel van Trijffel ◽  
Geert M Rutten ◽  
Gwendolyne GM Scholten–Peeters ◽  
...  
Keyword(s):  
Model Of Care ◽  
Outcome Indicators ◽  
Process And Outcome ◽  
Whiplash Associated Disorders ◽  
Assess Quality ◽  
Process And Outcome Indicators

scholarly journals Quality of diabetes care at the largest outpatient clinics in Vilnius

2016 ◽  
Vol 23 (2) ◽  
pp. 126-134 ◽  
Author(s):  
Žydrūnė Visockienė ◽  
Laura Šiaulienė ◽  
Roma Puronaitė ◽  
Virginijus Šapoka ◽  
Vytautas Kasiulevičius
Keyword(s):  
Diabetes Care ◽  
Outpatient Clinics ◽  
Outcome Indicators ◽  
Process And Outcome ◽  
Quality Of Diabetes Care ◽  
Retrospective Data Collection ◽  
Process And Outcome Indicators

Background. Essential data on the  quality of diabetes care needed for the development of National Diabetes Programme in Lithuania are lacking. The aim of the study was to assess the quality of diabetes care compared to the local guidelines in Vilnius, Lithuania. Materials and methods. Retrospective data collection covering the period from 2012 to 2013 was performed in 5 Vilnius outpatient clinics assessing process and outcome indicators in type 1 (T1DM) and type 2 diabetes mellitus (T2DM) subjects. Results. In a sample of 1,719 patients (58.9% women, 92.6% T2DM) the annual HbA1c assessment rate was 88.6%. Glycaemic control was significantly better in T2DM compared to T1DM patients: average HbA1c was 7.0 ± 1.4% vs 9.1 ± 1.8% and HbA1c ≤ 7% in 59 vs 9.4%, respectively (p 

Quality Assurance in Psychiatry: Concept and Methods

1997 ◽  
Vol 12 (S2) ◽  
pp. 79s-87s ◽  
Author(s):  
W Gaebel
Keyword(s):  
Quality Control ◽  
Quality Assurance ◽  
Practice Guidelines ◽  
Psychiatric Care ◽  
Quality Care ◽  
Outcome Indicators ◽  
Continuous Quality ◽  
Process And Outcome ◽  
Standards And Guidelines ◽  
Process And Outcome Indicators

SummaryQuality assurance is the corrective action applied to any observed discrepancy between optimal and actual level of medical care requiring continuous quality control. Obviously, quality assurance is of utmost importance also in psychiatric practice. Quality care as defined by the degree of adherence to standards and guidelines can be measured in terms of structural, process and outcome indicators applied to inpatient, outpatient and complementary services. To promote the implementation of practice guidelines into psychiatric care conceptual, methodological, and organisational requirements must be taken into account.

Process and outcome indicators for evaluation of surgical activity in a high-risk gastric cancer area.

2011 ◽  
Vol 29 (15_suppl) ◽  
pp. e16537-e16537
Author(s):  
O. Nanni ◽  
M. Altini ◽  
P. Morgagni ◽  
A. Rossi ◽  
E. Ciotti ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
High Risk ◽  
Outcome Indicators ◽  
Process And Outcome ◽  
Process And Outcome Indicators

scholarly journals Developing and measuring a set of process and outcome indicators for breast cancer

The Breast ◽  
2012 ◽  
Vol 21 (3) ◽  
pp. 253-260 ◽  
Author(s):  
Sabine Stordeur ◽  
France Vrijens ◽  
Stephan Devriese ◽  
Koen Beirens ◽  
Elizabeth Van Eycken ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Outcome Indicators ◽  
Process And Outcome ◽  
Process And Outcome Indicators

scholarly journals Reducing infantile anemia: insight on patterns of process and outcome indicators by ethnicity and socioeconomic class during a 10-year intervention program and 5 years after

2022 ◽  
Vol 11 (1) ◽  
Author(s):  
Joseph Meyerovitch ◽  
Doron Carmi ◽  
Shraga Aviner ◽  
Michael Sherf ◽  
Doron Comaneshter ◽  
...  
Keyword(s):  
Prevalence Rate ◽  
Intervention Program ◽  
Health Maintenance Organization ◽  
Hemoglobin Level ◽  
Socioeconomic Class ◽  
Health Maintenance ◽  
Outcome Indicators ◽  
Process And Outcome ◽  
Performance Rate ◽  
Process And Outcome Indicators

Abstract Background In 2005, Clalit Health Services (CHS), the largest health maintenance organization in Israel, initiated an intervention program aimed at reducing the prevalence rate of infantile anemia (IA). This study evaluated the progress made during the intervention (2005–2014) and its yield 5 years after it ended (2019). Methods The CHS database was retrospectively reviewed twice yearly from 2005 to 2014 for repetitive samples of children aged 9 to 18 months regarding the previous half-year interval, and a single sample in 2019. Data were collected on gender, ethnicity (Jewish/non-Jewish), socioeconomic class (SEC; low/intermediate/high), hemoglobin testing (yes/no), and hemoglobin level (if tested). Excluded were infants with documented or suspected hemoglobinopathy. Results At study initiation, the rate of performance of hemoglobin testing was 54.7%, and the IA prevalence rate was 7.8%. The performance rate was lower in the Jewish than the non-Jewish subpopulation. The low-SEC subpopulation had a similar hemoglobin testing rate to the high-SEC subpopulation but double the IA prevalence rate. Overall, by the end of the intervention (2014), the performance rate increased to 87.5%, and the AI prevalence rate decreased to 3.4%. In 2019, there was little change in the performance rate from the end of the intervention (88%) and the IA prevalence was further reduced to 2.7%. The non-Jewish and low-SEC subpopulations showed the most improvement which was maintained and even bettered 5 years after the intervention ended. Conclusions The 10-year IA intervention program introduced by CHS in 2005 led to a reduction in IA prevalence rate to about 3.5% in all sub-populations evaluated. By program end, the results in the weaker subpopulations, which had the highest prevalence of IA at baseline, were not inferior to those in the stronger subpopulations. We recommended to the Israel Ministry of Health to adopt the intervention countrywide, and we challenge other countries to consider similar interventions.

Are we measuring what matters in health technology assessment of disease management? Systematic literature review

2006 ◽  
Vol 22 (1) ◽  
pp. 47-57 ◽  
Author(s):  
Lotte Steuten ◽  
Bert Vrijhoef ◽  
Hans Severens ◽  
Frits van Merode ◽  
Cor Spreeuwenberg
Keyword(s):  
Disease Management ◽  
Literature Review ◽  
Health Technology Assessment ◽  
Systematic Literature Review ◽  
Technology Assessment ◽  
Health Technology ◽  
Substantial Part ◽  
Outcome Indicators ◽  
Process And Outcome ◽  
Process And Outcome Indicators

Objectives:An overview was produced of indicators currently used to assess disease management programs and, based on these findings, provide a framework regarding sets of indicators that should be used when taking the aims and types of disease management programs into account.Methods:A systematic literature review was performed.Results:Thirty-six studies met the inclusion criteria. It appeared that a link between aims of disease management and evaluated structure, process, as well as outcome indicators does not exist in a substantial part of published studies on disease management of diabetes and asthma/chronic obstructive pulmonary disease, especially when efficiency of care is concerned. Furthermore, structure indicators are largely missing from the evaluations, although these are of major importance for the interpretation of outcomes for purposes of decision-making. Efficiency of disease management is mainly evaluated by means ofprocessindicators; the use ofoutcomeindicators is less common. Within a framework, structure, process, and outcome indicators for effectiveness and efficiency are recommended for each type of disease management program.Conclusions:The link between aims of disease management and evaluated structure, process, and outcome indicators does not exist in a substantial part of published studies on disease management. The added value of this study mainly lies in the development of a framework to guide the choice of indicators for health technology assessment of disease management.

Sign in / Sign up

Export Citation Format

Share Document