13 research outputs found
Map of the County of Benarba, Central Division, NSW 1907 [cartographic material] /
No full textCadastral map showing parish boundaries and land holdings.; "No of Lith. '07 306.C".; National Library of Australia's copy has handwritten annotations and highlights in red, blue and black pencil. ANL; The County of Benarba contains the following parishes: -- Balerang -- Ballalla -- Banarway -- Baroona -- Bibble -- Biroo -- Boolmuckledi -- Boomi -- Boonaldoon -- Boonangar -- Boonerey -- Boonoona -- Boronga -- Boroo -- Boyanga -- Brigalow -- Bucknel -- Bunarba -- Bundori -- Bunna Bunna -- Burragillo -- Burrandoon -- Caidmurra -- Carbeenbri -- Carraa – Collymongle [Collymungoul] -- Collyu -- Cook -- Cooloobong -- Coonalgra -- Coubal -- Cowmerton -- Crinoline -- Cudgildool -- Currah -- Currotha -- Currygundi -- Dangar -- Derra -- Dindierna -- Direlmabildi -- Doorabeeba -- Dundunga -- Galloway -- Gil Gil -- Gin -- Gingham -- Goocalla -- Gorman -- Greaves -- Greenaway -- Gunathera -- Hamilton -- Hill -- Kamilaroi -- Keelo -- Krui -- Kunopia -- Mallowa -- Markham -- Meei -- Meero -- Meroe -- Millebee -- Mongyer -- Moomin -- Moorina -- Mungi -- Myall -- Narrawall -- Neargo -- Newcastle -- Noonah -- Noora -- Numby Numby -- Oreel -- Pearse -- Pially -- Single -- Tala -- Tellaraga -- Tiela -- Tillaloo -- Turrawah -- Tycawina -- Tyrrell -- Umbri -- Uranbah -- Wadden -- Wandoona -- Warren -- Werrina -- Whalan -- Willalee -- Winslow -- Wirra North -- Wirrir South -- Wirrit -- Wolongimba -- Yarouah -- Yarrol -- Young.; Also available online http://nla.gov.au/nla.map-vn3640261
Measuring quality of life in patients with stable coronary artery disease after coronary revascularization: Advanced analytical methods for measuring changes in HRQoL
No full textReplication of Mehta & Zhu (2009, Science, Study 3)
No full textOriginal citation:
Mehta, R., & Zhu, R. (2009). Blue or Red? Exploring the Effect of Color on Cognitive Task Performances. Science, 323(5918), 1226-1229. doi:10.1126/science.116914
Replication of Mehta & Zhu (2009, Science, Study 3)
No full textOriginal citation:
Mehta, R., & Zhu, R. (2009). Blue or Red? Exploring the Effect of Color on Cognitive Task Performances. Science, 323(5918), 1226-1229. doi:10.1126/science.116914
The Video Engagement Scale (VES):measurement properties of the full and shortened VES across studies
No full textThe Video Engagement Scale (VES) is a quality indicator to assess engagement in experimental video-vignette studies, but its measurement properties warrant improvement. Data from previous studies were combined (N = 2676) and split into three subsamples for a stepped analytical approach. We tested construct validity, criterion validity, reliability, and measurement invariance. Confirmatory factor analysis (CFA) reiterated poor fit of the previously suggested subscales. An alternative 2-factor structure is presented, which was cross-validated and further shortened (VES-sf). Reliability of both subscales (Immersion, Emotional Impact) was very high (α > .86). Multi-group CFAs demonstrated partial and complete measurement invariance among male/female and differently educated participants respectively. Invariance between healthy versus ill participants was not established, but CFAs supported the VES-sf structure in both groups separately. To conclude, we provide the VES-sf with sound measurement properties and demonstrated the appropriateness of comparing certain subgroups. Overall, we recommend the VES-sf to assess engagement/ecological validity in video-vignette research.</p
Influence of response shift and disposition on patient-reported outcomes may lead to suboptimal medical decisions: a medical ethics perspective
No full textBACKGROUND: Patient-reported outcomes (PROs) are frequently used for medical decision making, at the levels of both individual patient care and healthcare policy. Evidence increasingly shows that PROs may be influenced by patients' response shifts (changes in interpretation) and dispositions (stable characteristics). MAIN TEXT: We identify how response shifts and dispositions may influence medical decisions on both the levels of individual patient care and health policy. We provide examples of these influences and analyse the consequences from the perspectives of ethical principles and theories of just distribution. CONCLUSION: If influences of response shift and disposition on PROs and consequently medical decision making are not considered, patients may not receive optimal treatment and health insurance packages may include treatments that are not the most effective or cost-effective. We call on healthcare practitioners, researchers, policy makers, health insurers, and other stakeholders to critically reflect on why and how such patient reports are used
The dynamics in health-related quality of life of patients with stable coronary artery disease were revealed: a network analysis
No full textObjective: Health-related quality of life (HRQoL) is a dynamic construct. Experience sampling methods (ESM) are becoming increasingly popular to capture within-person fluctuations in HRQoL. An emerging approach to analyze such momentary data is network analysis. Our aim was to explore the use of network analysis for investigating the dynamics within individual's HRQoL. Study Design and Setting: We analyzed ESM data of 30 patients with stable coronary artery disease (CAD). Patients completed eight HRQoL items representing four scales (i.e., positive mood, negative mood, CAD symptoms, and physical state) at nine times a day for seven consecutive days. Network analysis was used to analyze the data at group level to estimate the average HRQoL dynamics and at patient level to estimate HRQoL dynamics of individual patients. Results: Group-level analysis showed that, on average, feeling “tired” and feeling “anxious” are the most central items in patients' HRQoL. Patient-level analysis revealed differences in patients’ network structures, indicating within-person differences in HRQoL dynamics. Conclusion: This study is one of the first to apply network analysis to momentary HRQoL data. To the extent that network models are meaningful representations of HRQoL dynamics, they may help deepening our insight into experienced HRQoL and provide targets for personalized treatment
Reconstructing Disruptive Life Events Using the RE-LIFE Questionnaire: Further Validation of the 'Narrative Meaning Making of Life Events' Model Using Multiple Mediation Analysis
No full textThe theoretical model: 'Narrative meaning making and integration of life events' hypothesizes that life events such as falling ill may result in an 'experience of contingency'. Through narrative meaning making, this experience may be eventually integrated into patients' life stories, which, in turn, may enhance their quality of life. To contribute to our understanding of this existential dimension of falling ill and to further validate the theoretical model, we examined the relationships among the concepts assessed with the RE-LIFE questionnaire. Two hypothesized mediation models were assessed using regression-based serial multiple mediation analysis. Model 1, assessing the influence of 'experience of contingency' on 'acknowledging', was significant and showed partial mediation by indirect influences through 'negative impact on life goals' and 'existential meaning'. Model 2, assessing the influence of 'experience of contingency' on 'quality of life', was also significant, with a full mediation by the variables 'negative impact on life goals', 'existential meaning' and 'acknowledging'. In conclusion, several hypothesized relationships within the theoretical model were confirmed. Narrative meaning making and integration significantly influence people's self-evaluation of their quality of life
Ecological momentary assessment versus retrospective assessment for measuring change in health-related quality of life following cardiac intervention
No full textBackground: Measuring change in health-related quality-of-life (HRQoL) is important to assess the impact of disease and/or treatment. Ecological momentary assessment (EMA) comprises the repeated assessment of momentary HRQoL in the natural environment and is particularly suited to capture daily experiences. Our objective was to study whether change in momentary measures or retrospective measures of HRQoL are more strongly associated with criterion measures of change in HRQoL. Twenty-six coronary artery disease patients completed momentary and retrospective HRQoL questionnaires before and after coronary revascularization. Momentary HRQoL was assessed with 14 items which were repeatedly presented 9 times a day for 7 consecutive days. Each momentary assessment period was followed by a retrospective HRQoL questionnaire that used the same items, albeit phrased in the past tense and employing a one-week time frame. Criterion measures of change comprised the New York Heart Association functioning classification system and the Subjective Significance Change Questionnaire. Regression analysis was used to determine the association of momentary and retrospective HRQoL change with the criterion measures of change. Results: Change according to momentary HRQoL items was more strongly associated with criterion measures of change than change according to retrospective HRQoL items. Five of 14 momentary items were significantly associated with the criterion measures. One association was found for the retrospective items, however, in the unexpected direction. Conclusion: Momentary HRQoL measures better captured change in HRQoL after cardiac intervention than retrospective HRQoL measures. EMA is a valuable expansion of the armamentarium of psychometrically sound HRQoL measures
Gender differences in quality of life in coronary artery disease patients with comorbidities undergoing coronary revascularization
No full textContains fulltext :
228000pub.pdf (Publisher’s version ) (Open Access)In comparison to male patients with coronary artery disease, female patients suffer from more comorbidities, experience symptoms of coronary artery disease differently and report poorer health-related quality of life (HRQoL) after coronary revascularization. However, there is limited data on the impact of comorbidity burden on the recovery in HRQoL in female and male patients. We investigated the impact of comorbidity burden on the change in HRQoL following coronary revascularization in female patients versus male patients. 230 patients (60 female) with coronary artery disease were assessed before, and two weeks, three months and six months after coronary revascularization. Disease-specific HRQoL was measured with the Short-Form Seattle Angina Questionnaire. Physical and mental health was measured with the Short-Form Health Survey. Comorbidity burden was assessed by the total number of identified comorbidity conditions and by the Charlson comorbidity score. Linear mixed models were used to estimate the effects of time, gender and comorbidity burden on HRQoL. Whereas HRQoL improved after coronary revascularization in all patients, female patients reported poorer physical health and disease-specific HRQoL and their physical health improved more slowly than male patients. A higher comorbidity burden was related with poorer physical health and disease-specific HRQoL in male patients, but not in female patients. A higher comorbidity burden was associated with slower improvement in HRQoL for both female and male patients. Female patients reported poorer HRQoL and their physical health improved more slowly after coronary revascularization, irrespective of comorbidity burden. Higher comorbidity burden was associated with poorer physical health and disease-specific HRQoL in male patients only. Our results indicate that female and male patients recover differently after coronary revascularization. These findings highlight the importance of comorbidity- and gender-specific approaches for evaluating coronary artery disease and coronary revascularization procedures.27 augustus 202
