General Practice and Primary Care - Research Publications
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ItemWho uses Australian chiropractic services?(BIOMED CENTRAL LTD, 2013-09-26)BACKGROUND: The use of chiropractic services is widespread, however, little is known about the characteristics of people who seek chiropractic care in Australia. This study compared the characteristics of users and non-users of chiropractic services from a cohort of patients sourced from general medical practice in Victoria, Australia. METHODS: This is a secondary analysis of baseline screening data from a prospective adult cohort study beginning in 2005. Thirty randomly selected Australian general medical practices mailed out surveys to 17,780 of their patients. Differences were examined between chiropractic users and others, and between chiropractic users who reported a back problem to those who did not. RESULTS: Of 7,519 respondents, 15% indicated they had visited a chiropractor in the last 12 months. Chiropractic users were more likely to have their GP located in a rural location and to be born in Australia; they were less likely to be in the older age group (55-76), to be unemployed or to have a pension/benefit as their main source of income. Chiropractic users were more likely to: have a back problem; use complementary or alternative medication; visit another type of complementary health practitioner or a physiotherapist. They were less likely to take medication for certain health problems (e.g. for high blood pressure, high cholesterol or asthma). No important differences were seen between chiropractic users and non-users for other health problems. People who visited a chiropractor and reported a back problem were more likely to: be a current smoker; have a number of other chronic conditions, including arthritis, hypertension, chronic sinusitis, asthma, dermatitis, depression and anxiety; report taking medications, including antidepressants, analgesics (painkillers and arthritis medication) and complementary or alternative medications. CONCLUSIONS: This large cross-sectional study of general medical practice attendees suggests that chiropractors are the most commonly consulted complementary health profession. Chiropractors should ensure they are aware of their patients' health conditions other than musculoskeletal problems and should ensure they are appropriately managed.
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ItemEvaluation of the Social Participation Questionnaire in adult patients with depressive symptoms using Rasch analysis(SPRINGER, 2013-10)PURPOSE: The aim of this study was to explore the psychometric properties of the 22-item Social Participation Questionnaire (SPQ). METHODS: The SPQ was administered to 789 adult primary care patients with depressive symptoms. As the items were intended to be summed together to provide total score, Rasch analysis (partial credit model) was applied to assess the overall fit of the model, individual item fit, differential item functioning (DIF), targeting of persons, response dependency, unidimensionality and person separation. RESULTS: To improve the scale's fit, it was necessary to re-score the response format. Two items demonstrated some DIF for gender and eight items showed DIF for age. To support the assumption of unidimensionality post hoc principal component analysis was performed. The analysis showed two subtests of the residuals with positive and negative loadings, but the person estimates derived from these two subtests were not statistically different to that derived from all items taken together. The response dependence between two items was identified; however, the magnitude of difficulty was very small. Although the questionnaire appeared to have insufficient items to assess the full spectrum of informal social contact, the SPQ was reasonably well targeted. CONCLUSION: The SPQ is a promising questionnaire for the measurement of social participation although it could benefit from the inclusion of further items to measure informal social contact. This study found support for the internal validity, internal consistency reliability, and unidimensionality. A future study will investigate whether targeting can be improved when additional items are included.
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ItemA trajectory-based approach to understand the factors associated with persistent depressive symptoms in primary care(ELSEVIER, 2013-06)BACKGROUND: Depression screening in primary care yields high numbers. Knowledge of how depressive symptoms change over time is limited, making decisions about type, intensity, frequency and length of treatment and follow-up difficult. This study is aimed to identify depressive symptom trajectories and associated socio-demographic, co-morbidity, health service use and treatment factors to inform clinical care. METHODS: 789 people scoring 16 or more on the CES-D recruited from 30 randomly selected Australian family practices. Depressive symptoms are measured using PHQ-9 at 3, 6, 9 and 12 months. RESULTS: Growth mixture modelling identified a five-class trajectory model as the best fitting (lowest Bayesian Information Criterion): three groups were static (mild (n=532), moderate (n=138) and severe (n=69)) and two were dynamic (decreasing severity (n=32) and increasing severity (n=18)). The mild symptom trajectory was the most common (n=532). The severe symptom trajectory group (n=69) differed significantly from the mild symptom trajectory group on most variables. The severe and moderate groups were characterised by high levels of disadvantage, abuse, morbidity and disability. Decreasing and increasing severity trajectory classes were similar on most variables. LIMITATIONS: Adult only cohort, self-report measures. CONCLUSIONS: Most symptom trajectories remained static, suggesting that depression, as it presents in primary care, is not always an episodic disorder. The findings indicate future directions for building prognostic models to distinguish those who are likely to have a mild course from those who are likely to follow more severe trajectories. Determining appropriate clinical responses based upon a likely depression course requires further research.
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ItemExamining the practice of generalist expertise: a qualitative study identifying constraints and solutions.(SAGE Publications, 2013-12)OBJECTIVES: Provision of person-centred generalist care is a core component of quality primary care systems. The World Health Organisation believes that a lack of generalist primary care is contributing to inefficiency, ineffectiveness and inequity in healthcare. In UK primary care, General Practitioners (GPs) are the largest group of practising generalists. Yet GPs fulfil multiple roles and the pressures of delivering these roles along with wider contextual changes create real challenges to generalist practice. Our study aimed to explore GP perceptions of enablers and constraints for expert generalist care, in order to identify what is needed to ensure health systems are designed to support the generalist role. DESIGN: Qualitative study in General Practice. SETTING: UK primary care. MAIN OUTCOME MEASURES: A qualitative study - interviews, surveys and focus groups with GPs and GP trainees. Data collection and analysis was informed by Normalisation Process Theory. DESIGN AND SETTING: Qualitative study in General Practice. We conducted interviews, surveys and focus groups with GPs and GP trainees based mainly, but not exclusively, in the UK. Data collection and analysis were informed by Normalization Process Theory. PARTICIPANTS: UK based GPs (interview and surveys); European GP trainees (focus groups). RESULTS: Our findings highlight key gaps in current training and service design which may limit development and implementation of expert generalist practice (EGP). These include the lack of a consistent and universal understanding of the distinct expertise of EGP, competing priorities inhibiting the delivery of EGP, lack of the consistent development of skills in interpretive practice and a lack of resources for monitoring EGP. CONCLUSIONS: WE DESCRIBE FOUR AREAS FOR CHANGE: Translating EGP, Priority setting for EGP, Trusting EGP and Identifying the impact of EGP. We outline proposals for work needed in each area to help enhance the expert generalist role.
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ItemExtending ICPC-2 PLUS terminology to develop a classification system specific for the study of chiropractic encounters(BIOMED CENTRAL LTD, 2013-01-14)BACKGROUND: Typically a large amount of information is collected during healthcare research and this information needs to be organised in a way that will make it manageable and to facilitate clear reporting. The Chiropractic Observation and Analysis STudy (COAST) was a cross sectional observational study that described the clinical practices of chiropractors in Victoria, Australia. To code chiropractic encounters COAST used the International Classification of Primary Care (ICPC-2) with the PLUS general practice clinical terminology to code chiropractic encounters. This paper describes the process by which a chiropractic-profession specific terminology was developed for use in research by expanding the current ICPC-2 PLUS system. METHODS: The coder referred to the ICPC-2 PLUS system when coding chiropractor recorded encounter details (reasons for encounter, diagnoses/problems and processes of care). The coder used rules and conventions supplied by the Family Medicine Research Unit at the University of Sydney, the developers of the PLUS system. New chiropractic specific terms and codes were created when a relevant term was not available in ICPC-2 PLUS. RESULTS: Information was collected from 52 chiropractors who documented 4,464 chiropractor-patient encounters. During the study, 6,225 reasons for encounter and 6,491 diagnoses/problems were documented, coded and analysed; 169 new chiropractic specific terms were added to the ICPC-2 PLUS terminology list. Most new terms were allocated to diagnoses/problems, with reasons for encounter generally well covered in the original ICPC 2 PLUS terminology: 3,074 of the 6,491 (47%) diagnoses/problems and 274 of the 6,225 (4%) reasons for encounter recorded during encounters were coded to a new term. Twenty nine new terms (17%) represented chiropractic processes of care. CONCLUSION: While existing ICPC-2 PLUS terminology could not fully represent chiropractic practice, adding terms specific to chiropractic enabled coding of a large number of chiropractic encounters at the desired level. Further, the new system attempted to record the diversity among chiropractic encounters while enabling generalisation for reporting where required. COAST is ongoing, and as such, any further encounters received from chiropractors will enable addition and refinement of ICPC-2 PLUS (Chiro). More research is needed into the diagnosis/problem descriptions used by chiropractors.
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ItemAn exploratory statistical approach to depression pattern identification(ELSEVIER, 2013-02-15)Depression is a complex phenomenon thought to be due to the interaction of biological, psychological and social factors. Currently depression assessment uses self-reported depressive symptoms but this is limited in the degree to which it can characterise the different expressions of depression emerging from the complex causal pathways that are thought to underlie depression. In this study, we aimed to represent the different patterns of depression with pattern values unique to each individual, where each value combines all the available information about an individual's depression. We considered the depressed individual as a subsystem of an open complex system, proposed Generalized Information Entropy (GIE) to represent the general characteristics of information entropy of the system, and then implemented Maximum Entropy Estimates to derive equations for depression patterns. We also introduced a numerical simulation method to process the depression related data obtained by the Diamond Cohort Study which has been underway in Australia since 2005 involving 789 people. Unlike traditional assessment, we obtained a unique value for each depressed individual which gives an overall assessment of the depression pattern. Our work provides a novel way to visualise and quantitatively measure the depression pattern of the depressed individual which could be used for pattern categorisation. This may have potential for tailoring health interventions to depressed individuals to maximize health benefit.