Social Participation of Community Dwelling Stroke Survivors [Published Abstract: From the Quality of Care and Outcomes Research in Cardiovascular Disease and Stroke Conference 2009]

Disability following a stroke can impose various restrictions on patients’ attempts at participating in life roles. The measurement of social participation, for instance, is important in estimating recovery and assessing quality of care at the community level. Thus, the identification of factors influencing social participation is essential in developing effective measures for promoting the reintegration of stroke survivors into the community. Data were collected from 188 stroke survivors (mean age 71.7 years) 12 months after discharge from a stroke rehabilitation hospital. Of these survivors, 128 (61 %) had suffered a first ever stroke, and 81 (43 %) had a right hemisphere lesion. Most (n = 156, 83 %) were living in their own home, though 32 (17 %) were living in residential care facilities. Path analysis was used to test a hypothesized model of participation restriction which included the direct and indirect effects between social, psychological and physical outcomes and demographic variables. Participation restriction was the dependent variable. Exogenous independent variables were age, functional ability, living arrangement and gender. Endogenous independent variables were depressive symptoms, state self-esteem and social support satisfaction. The path coefficients showed functional ability having the largest direct effect on participation restriction. The results also showed that more depressive symptoms, low state self-esteem, female gender, older age and living in a residential care facility had a direct effect on participation restriction. The explanatory variables accounted for 71% of the variance in explaining participation restriction. Prediction models have empirical and practical applications such as suggesting important factors to be considered in promoting stroke recovery. The findings suggest that interventions offered over the course of rehabilitation should be aimed at improving functional ability and promoting psychological aspects of recovery. These are likely to enhance stroke survivors resume or maximize their social participation so that they may fulfill productive and positive life roles.

Evaluation in health outcomes research : linking theories, methodologies and practice in health promotion.

Health outcomes research has developed as a means of evaluating the effectiveness of health care interventions and as an approach to informing resource allocation. The use of a health outcomes approach in health promotion has made increasing demands on evaluation methodologies to demonstrate program effectiveness. However, criticism of the contribution of health promotion to outcomes research has made several assumptions about the use of qualitative methodologies and the content of program objectives largely derived from a biomedical approach. In contrast to the measurement of biomedical interventions in clinical health care, health promotion practice involves social phenomena, wide-reaching cultural, psychological, political and ideological problems and issues. The integration of methodologies of health promotion evaluation will inform further conceptualisation of the health outcomes approach with the differentiation of three types of outcomes: health development outcomes; social health outcomes; and biomedical health outcomes. It is concluded that this differentiation moves away from dualist concepts that advocate the replacement of goals and targets with regional and locally based approaches. Rather, the future direction for health promotion evaluation needs to employ a framework that elaborates multiple methodologies and approaches necessary for establishing what relationships exist between morbidity, mortality, health advancement and equity.

Health beliefs - what role do they play in outcomes research?

Lay beliefs about health and illness are individual and social, influenced by prevailing social and medical ideologies. Health beliefs clearly influence self-care motivation and have an effect on health-promoting behaviour (e.g. attendance at a screening program, food choices, adherence to prescribed medication). Further, the beliefs and attributions that people hold can directly affect physiological systems (e.g. the immune system). Health beliefs have been shown to influence a variety of patient-reported outcomes, including medication adherence, satisfaction and health-related quality of life. It is widely acknowledged that when the patient's beliefs are acknowledged and incorporated, rather than ignored, optimal biomedical patient-reported outcomes are more likely to be achieved. Several psychological models have been developed to predict health behaviours and may be utilised to identify the beliefs that inform such behaviours. These models consider the social milieu, personality, demographic, political and economic predictors of health beliefs. They demonstrate the impact of beliefs such as the causes of illness, effectiveness of healthcare and acceptability of health services, and how manipulating these can result in actual or intended behaviour change. This workshop will introduce health beliefs and discuss the psychological models that underpin the translation of belief into behaviour. The session is interactive, with participants defining health beliefs and their impact on behaviour. Participants will be invited to critique the models and apply their chosen model to a health indication of their choice.

Missing Data - implications for outcomes research and strategies to maximise data integrity

he workshop will firstly provide an overview of the problems associated with missing data within the context of clinical trials and how to minimise these. Missing data will be explored by modeling the impact on a number of datasets. This approach will be invaluable in highlighting how alternative methods for controlling for missing data impact differentially on the interpretation of study findings. Popular strategies involve options based on an assessment of the percentage of missing data. More innovative approaches to the management of missing data (e.g. based upon reliability analyses) will be explored and evaluated and the role of the most popular methods of data management explored in several study designs beyond those of the classic randomised controlled trial. Participants will have the opportunity to appraise and debate existing methods of missing data handling.

Initial medication adherence-review and recommendations for good practices in outcomes research: an ISPOR medication adherence and persistence special interest group report

Background: Positive associations between medication adherence and beneficial outcomes primarily come from studying filling/consumption behaviors after therapy initiation. Few studies have focused on what happens before initiation, the point from prescribing to dispensing of an initial prescription. Objective: Our objective was to provide guidance and encourage high-quality research on the relationship between beneficial outcomes and initial medication adherence (IMA), the rate initially prescribed medication is dispensed. Methods: Using generic adherence terms, an international research panel identified IMA publications from 1966 to 2014. Their data sources were classified as to whether the primary source reflected the perspective of a prescriber, patient, or pharmacist or a combined perspective. Terminology and methodological differences were documented among core (essential elements of presented and unpresented prescribing events and claimed and unclaimed dispensing events regardless of setting), supplemental (refined for accuracy), and contextual (setting-specific) design parameters. Recommendations were made to encourage and guide future research. Results: The 45 IMA studies identified used multiple terms for IMA and operationalized measurements differently. Primary data sources reflecting a prescriber's and pharmacist's perspective potentially misclassified core parameters more often with shorter/nonexistent pre- and postperiods (1-14 days) than did a combined perspective. Only a few studies addressed supplemental issues, and minimal contextual information was provided. Conclusions: General recommendations are to use IMA as the standard nomenclature, rigorously identify all data sources, and delineate all design parameters. Specific methodological recommendations include providing convincing evidence that initial prescribing and dispensing events are identified, supplemental parameters incorporating perspective and substitution biases are addressed, and contextual parameters are included.

Transition: improved literacy outcomes research study

This paper reports on the Transition: Improved Literacy Outcomes Research Study established by the Department of Education and Training (DET). The purpose of the study was to identify the most useful and usable data for educators to access in order to ensure that student literacy learning is maximised during the transition from Primary to Secondary school.1. The research followed a mixed-methods approach, combining a statistically defensible sample of schools selected to represent school types (primary, secondary, combined), locations (rural, regional, urban) and all regions with a survey and follow- up interviews.2. The results are presented as a mixture of statistics, case studies and discussion. The case studies were developed from both survey data and interview data.3. Leaders and teachers overwhelmingly valued teacher judgement (through AusVELS) as the most useful data in understanding students’ strengths and weaknesses, followed by On-Demand testing.4. NAPLAN results were frequently transferred between schools, but were found to be less useful than other data by teachers.5. School leaders and teachers are currently using data for ability streaming, or for tailoring curriculum for individual student needs. A number of schools use the Literacy data for achieving a balance of student abilities within classes.6. Support for access to, and use of, data is mainly manual, with some use of spreadsheets.7. As the number of feeder Primary schools to a single Secondary school increases, data management becomes a much larger burden on the Secondary staff concerned.8. In Secondary schools, there was a clear demand for Literacy data, but these data were not always those that were being provided by their feeder Priamary schools. This mis-match appears to lead to some frustration among Literacy transition staff at both levels of schooling.9. A gap that needs filling is around the nature of the pedagogies at the two school levels. Not knowing, or misunderstanding, the approaches and needs of each level of schooling leads to the passing on of irrelevant Literacy data in some instances.10. The need for a common template for transition data was expressed by many Transition staff, both Primary and Secondary. In some instances the secondary school had set up a local template for this11. It would be advantageous for data to be directly up-loaded or transferred into a system via electronic tools already in use, such as an Excel spreadsheet.12. We would recommend that the capacity to provide some visualisation of data, and the compilation of internal Literacy data such as teacher judgements and AusVELS levels, or additional testing carried out by the school.13. Student background data was seen by many Secondary transition staff as being equally as valuable as more formal Literacy data for determining student needs.

Long-term outcomes of seriously injured children : a study using the Child Health Questionnaire

Objective: To assess the health-related quality of life (HRQoL) in children 1-2 years after they had sustained an injury. Methods: Parents of all children who were identified by the Queensland Trauma Registry during their admission to either of the two paediatric specialty hospitals in Brisbane, Australia, for the treatment of an injury, were invited to participate in this study. Parents who consented to participation received a copy of the Child Health Questionnaire (CHQ) that required them to provide information regarding their child’s HRQoL following injury. The CHQ scores for the study respondents were compared with those of the Australian norms. This study was approved by the relevant ethics committees. Results: Two hundred and forty-one completed questionnaires were returned. The majority of cases were male (65%) and there was even representation across all age groups. The majority of injuries were considered to be minor (81%) and were predominantly the result of falls and cycling accidents causing mainly fractures and intracranial injury. On the majority of subscales of the CHQ, study participants recorded scores that were statistically significantly below those of the Australian norms. None of the relevant variables collected by the Queensland Trauma Registry were found to predict scores on the CHQ in this study (for those children hospitalized for >24 h). Conclusion: Injured children are worse off than their Australian counterparts in terms of HRQoL even up to 2 years following an injury. Further research needs to be undertaken to identify factors that predict lower HRQoL in order to reduce the burden of injury on children and their families.

An official American thoracic society research statement: Comparative effectiveness research in pulmonary, critical care, and sleep medicine

Background: Comparative effectiveness research (CER) is intended to inform decision making in clinical practice, and is central to patientcentered outcomes research (PCOR). Purpose: To summarize key aspects of CER definitions and provide examples highlighting the complementary nature of efficacy and CER studies in pulmonary, critical care, and sleep medicine. Methods: An ad hoc working group of the American Thoracic Society with experience in clinical trials, health services research, quality improvement, and behavioral sciences in pulmonary, critical care, and sleepmedicinewas convened. The group used an iterative consensus process, including a reviewbyAmerican Thoracic Society committees and assemblies. Results: The traditional efficacy paradigm relies on clinical trials with high internal validity to evaluate interventions in narrowly defined populations and in research settings. Efficacy studies address the question, "Can it work in optimal conditions?" The CER paradigm employs a wide range of study designs to understand the effects of interventions in clinical settings. CER studies address the question, "Does it work in practice?" The results of efficacy and CER studies may or may not agree. CER incorporates many attributes of outcomes research and health services research, while placing greater emphasis on meeting the expressed needs of nonresearcher stakeholders (e.g., patients, clinicians, and others). Conclusions: CER complements traditional efficacy research by placing greater emphasis on the effects of interventions in practice, and developing evidence to address the needs of the many stakeholders involved in health care decisions. Stakeholder engagement is an important component of CER. Copyright © 2013 by the American Thoracic Society.

Patient outcomes in the acute revovery phase following robotic-assisted prostate surgery : a prospective study

Background: Robotic-assisted minimally invasive urologic surgery was developed to minimise surgical trauma resulting in quicker recovery. It has many potential benefits for patients with localised prostate cancer over traditional surgical techniques without taking a risk with the oncological result.

Objectives: To report the specific surgical outcomes for the first Australian cohort of patients with localised prostate cancer that had undergone robotic-assisted radical prostatectomy (RARP) surgery. The outcomes represent the acute (in-hospital) recovery phase and include pain, length of stay (LOS), urinary catheter management and wound management.

Methods: Prospective descriptive survey of 214 consecutive patients admitted to a large metropolitan private hospital in Melbourne, Australia between December 2003 and June 2005. Patients had undergone RARP surgery for localised prostate cancer. Data were collected from the medical records and through interview at the time of discharge. Descriptive statistics were used to describe the frequency and proportion of outcomes. Patient characteristics were tabulated using cross tabulation frequency distribution and measures of central tendency.

Results: The findings from this study are highly encouraging when compared to outcomes associated with traditional surgical techniques. Transurethral catheter duration (median 7 days (IQ range 2)) and LOS (median 3 days (IQ range 2)) were considerably reduced. While operation time (median 3.30 h (IQ range 1.07)) was marginally reduced we would expect a further reduction as the surgical team becomes more skilled.

Conclusion: The findings from this study contribute to building a comprehensive picture of patient outcomes in the acute (in-hospital) recovery phase for a cohort of Australian patients who have undergone RARP surgery for localised prostate cancer. As such, these findings will provide valuable information with which to plan care for patients’ who undergo robotic-assisted surgery.