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Kate L Hyett

Bio: Kate L Hyett is an academic researcher. The author has contributed to research in topics: Health care & Variance (accounting). The author has an hindex of 2, co-authored 2 publications receiving 2344 citations.

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Journal ArticleDOI
TL;DR: This paper describes a project which aimed to improve reporting and analysis of variance data in a large regional and a smaller rural hospital using clinical pathways for a number of surgical, medical and obstetric procedures.
Abstract: Variations from the anticipated course of events in clinical pathways provide valuable information that could be used to improve clinical practice and health service planning. Surprisingly, variance data are rarely collected in health care organisations using clinical pathways. This paper describes a project which aimed to improve reporting and analysis of variance data in a large regional and a smaller rural hospital using clinical pathways for a number of surgical, medical and obstetric procedures. The project used change management techniques and a variance analysis software program to inform clinical practice change.

18 citations


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Journal ArticleDOI
24 Mar 2010-BMJ
TL;DR: This update of the CONSORT statement improves the wording and clarity of the previous checklist and incorporates recommendations related to topics that have only recently received recognition, such as selective outcome reporting bias.
Abstract: Overwhelming evidence shows the quality of reporting of randomised controlled trials (RCTs) is not optimal. Without transparent reporting, readers cannot judge the reliability and validity of trial findings nor extract information for systematic reviews. Recent methodological analyses indicate that inadequate reporting and design are associated with biased estimates of treatment effects. Such systematic error is seriously damaging to RCTs, which are considered the gold standard for evaluating interventions because of their ability to minimise or avoid bias. A group of scientists and editors developed the CONSORT (Consolidated Standards of Reporting Trials) statement to improve the quality of reporting of RCTs. It was first published in 1996 and updated in 2001. The statement consists of a checklist and flow diagram that authors can use for reporting an RCT. Many leading medical journals and major international editorial groups have endorsed the CONSORT statement. The statement facilitates critical appraisal and interpretation of RCTs. During the 2001 CONSORT revision, it became clear that explanation and elaboration of the principles underlying the CONSORT statement would help investigators and others to write or appraise trial reports. A CONSORT explanation and elaboration article was published in 2001 alongside the 2001 version of the CONSORT statement. After an expert meeting in January 2007, the CONSORT statement has been further revised and is published as the CONSORT 2010 Statement. This update improves the wording and clarity of the previous checklist and incorporates recommendations related to topics that have only recently received recognition, such as selective outcome reporting bias. This explanatory and elaboration document-intended to enhance the use, understanding, and dissemination of the CONSORT statement-has also been extensively revised. It presents the meaning and rationale for each new and updated checklist item providing examples of good reporting and, where possible, references to relevant empirical studies. Several examples of flow diagrams are included. The CONSORT 2010 Statement, this revised explanatory and elaboration document, and the associated website (www.consort-statement.org) should be helpful resources to improve reporting of randomised trials.

5,957 citations

Journal ArticleDOI
TL;DR: A significant association between severity of depression and poorer QOL in older persons was found, and the association was found to be stable over time, regardless of which assessment instruments for QOL were applied.
Abstract: Background: Depression is a prevalent and disabling condition in older persons (≥60 years) that increases the risk of mortality and negatively influences quality

2,704 citations

Journal ArticleDOI
TL;DR: This review highlights consistent patterns in the literature associating positive affect (PA) and physical health and raises serious conceptual and methodological reservations, but suggests an association of trait PA and lower morbidity and of state and traitPA and decreased symptoms and pain.
Abstract: This review highlights consistent patterns in the literature associating positive affect (PA) and physical health. However, it also raises serious conceptual and methodological reservations. Evidence suggests an association of trait PA and lower morbidity and of state and trait PA and decreased symptoms and pain. Trait PA is also associated with increased longevity among older community-dwelling individuals. The literature on PA and surviving serious illness is inconsistent. Experimentally inducing intense bouts of activated state PA triggers short-term rises in physiological arousal and associated (potentially harmful) effects on immune, cardiovascular, and pulmonary function. However, arousing effects of state PA are not generally found in naturalistic ambulatory studies in which bouts of PA are typically less intense and often associated with health protective responses. A theoretical framework to guide further study is proposed.

1,890 citations

01 Jan 2002
TL;DR: In this paper, the SAC's current conceptualization of eight key attributes of health status and QoL instruments (i.e., conceptual and measurement model; reliability; validity; responsiveness; interpretability; respondent and administrative burden; alternate forms; and cultural and language adaptations) and the criteria by which instruments would be reviewed on each of those attributes are presented.
Abstract: The field of health status and quality of life (QoL) measurement - as a formal discipline with a cohesive theoretical framework, accepted methods, and diverse applications - has been evolving for the better part of 30 years. To identify health status and QoL instruments and review them against rigorous criteria as a precursor to creating an instrument library for later dissemination, the Medical Outcomes Trust in 1994 created an independently functioning Scientific Advisory Committee (SAC). In the mid-1990s, the SAC defined a set of attributes and criteria to carry out instrument assessments; 5 years later, it updated and revised these materials to take account of the expanding theories and technologies upon which such instruments were being developed. This paper offers the SAC's current conceptualization of eight key attributes of health status and QoL instruments (i.e., conceptual and measurement model; reliability; validity; responsiveness; interpretability; respondent and administrative burden; alternate forms; and cultural and language adaptations) and the criteria by which instruments would be reviewed on each of those attributes. These are suggested guidelines for the field to consider and debate; as measurement techniques become both more familiar and more sophisticated, we expect that experts will wish to update and refine these criteria accordingly.

1,854 citations