The quality of care. How can it be assessed?

Donabedian, Avedis

doi:10.1001/jama.260.12.1743

Cited by 3,956 publications

(3,966 citation statements)

References 25 publications

Supporting

Mentioning

3,463

Contrasting

Unclassified

476

Order By: Relevance

“…The quality of health services provided by healthcare organisations should be evaluated in terms of patient satisfaction. Although many factors, such as patient expectations, healthcare staff, and physical conditions, play roles in patient satisfaction, nurses who administer treatments and take care of patients are typically the major factor behind patient satisfaction [1][2][3][4]. Eriksen described patient satisfaction as a subjective evaluation arising from the interaction between patient care expectation and nurse character/behaviour perception [5].…”

Section: Introductionmentioning

confidence: 99%

The Evaluation of Nursing Care Satisfaction and Patient Learning Needs in day Case Surgery

2015

View full text Add to dashboard Cite

Patients in surgical service units have higher expectations for treatment and care. The aims of this study were to determine nursing care satisfaction and information requirements at the time of discharge of patients from a day surgery unit and to assess the effects of demographics. The study was conducted on 291 patients undergoing day case surgery. Patient perception scale for nursing care (PPSN) and the patient learning needs scale (PLNS) were used and total and subdimension points averages were calculated and then compared with demographic data using the Kruskal-Wallis test. The results were evaluated at the p<0.05 significance level with 95 % confidence intervals. Of the patients, 58.8 % (n=171) were females and the average age was 49.5±15.3 years. PPSN and PLNS total point averages were 68.16±10.17 and 178.53 ±27.59, respectively. A significant difference was determined in PPSN total point average with regard to previous hospitalisations; the PPSN total point average was higher for patients with prior hospitalisations (p<0.001). Significant differences were determined between PLNS total point average and age group, marital status, receiving discharge training, and education level (p=0.008, 0.006, <0.001, and 0.015, respectively). Differences were found in the PLNS subdimension point averages between groups, especially with regard to age group and educational level. We showed that patient satisfaction and patient information requirements could change according to demographic features of the patients at a day case surgery unit. In this respect, healthcare providers should offer healthcare services by evaluating the personal characteristics of patients because this is important for their satisfaction.

show abstract

Section: Introductionmentioning

confidence: 99%

The Evaluation of Nursing Care Satisfaction and Patient Learning Needs in day Case Surgery

2015

View full text Add to dashboard Cite

show abstract

“…Therefore, a framework with important domains of measurement and pathways to achieve the desired health outcomes is required to identify the action points to improve the quality of care. Since the Donabedian model of quality of care for health facilities was proposed in 1988, WHO and others have developed strategic thinking to operationalise key characteristics of QoC, using different elements from the provision of care as well as the experience of care, integral to maternal and newborn care provided in the facilities 15, 16, 17, 18, 19. WHO has also advanced health systems thinking by identifying six building blocks—service delivery; health workforce; information, medical products, vaccines and technologies; financing, and leadership/governance—creating a structure from where health systems analysis and intervention points can be established 20…”

mentioning

confidence: 99%

Quality of care for pregnant women and newborns—the WHO vision

Tunçalp

Were

Maclennan

et al. 2015

BJOG

838

798

View full text Add to dashboard Cite

“…25 Prior work has shown a link with depression process measures derived from administrative data and hospitalization outcomes. 26 In terms of reducing or eliminating depression symptoms, though, the lack of timed and electronically documented symptom assessment data means that neither administrative review nor electronic measures can measure depression symptom outcomes.…”

Section: S36mentioning

confidence: 99%

“…24 Major depressive affective disorder single episode severe degree specified with psychotic behavior X X 296. 25 Major depressive affective disorder single episode in partial or unspecified remission X X 296. 26 Major depressive affective disorder single episode in full remission X X 296.3x…”

Section: Appendicesmentioning

confidence: 99%

Depression Quality of Care: Measuring Quality over Time Using VA Electronic Medical Record Data

et al. 2016

View full text Add to dashboard Cite

BACKGROUND:The Veterans Health Administration (VA) has invested substantially in evidence-based mental health care. Yet no electronic performance measures for assessing the level at which the population of Veterans with depression receive appropriate care have proven robust enough to support rigorous evaluation of the VA's depression initiatives. OBJECTIVE: Our objectives were to develop prototype longitudinal electronic population-based measures of depression care quality, validate the measures using expert panel judgment by VA and non-VA experts, and examine detection, follow-up and treatment rates over a decade (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010). We describe our development methodology and the challenges to creating measures that capture the longitudinal course of clinical care from detection to treatment. DESIGN AND PARTICIPANTS: Data come from the National Patient Care Database and Pharmacy Benefits Management Database for primary care patients from 1999 to 2011, from nine Veteran Integrated Service Networks. MEASURES: We developed four population-based quality metrics for depression care that incorporate a 6-month look back and 1-year follow-up: detection of a new episode of depression, 84 and 180 day follow-up, and minimum appropriate treatment 1-year post detection. Expert panel techniques were used to evaluate the measure development methodology and results. Key challenges to creating valid longitudinal measures are discussed. KEY RESULTS: Over the decade, the rates for detection of new episodes of depression remained stable at 7-8 %. Follow-up at 84 and 180 days were 37 % and 45 % in 2000 and increased to 56 % and 63 % by 2010. Minimum appropriate treatment remained relatively stable over the decade (82-84 %). CONCLUSIONS: The development of valid longitudinal, population-based quality measures for depression care is a complex process with numerous challenges. If the full spectrum of care from detection to follow-up and treatment is not captured, performance measures could actually mask the clinical areas in need of quality improvement efforts.

show abstract

The quality of care. How can it be assessed?

Cited by 3,956 publications

References 25 publications

The Evaluation of Nursing Care Satisfaction and Patient Learning Needs in day Case Surgery

The Evaluation of Nursing Care Satisfaction and Patient Learning Needs in day Case Surgery

Quality of care for pregnant women and newborns—the WHO vision

Depression Quality of Care: Measuring Quality over Time Using VA Electronic Medical Record Data

Contact Info

Product

Resources

About