Satisfaction with asynchronous e-learning: An exploratory factor analysis of the Learner Satisfaction with Asynchronous e-Learning (LSAeL) instrument.

AIM: To describe the development and psychometric testing of the Learner Satisfaction with Asynchronous e-Learning (LSAeL) instrument. BACKGROUND: Existing satisfaction with e-learning instruments may not accurately evaluate learner satisfaction with constructs associated with asynchronous e-learning. DESIGN: Methodological study. METHODS: Content, face and construct validity of the instrument were evaluated using a two-stage process. A five-member expert panel evaluated the instrument's content and face validity. A content validity index and a modified kappa co-efficient was used to calculate the content validity of individual test items and the global instrument and to adjust for chance agreement between raters. These data were then reviewed and individual items were removed, retained or refined accordingly. Using an empirically informed wholly asynchronous e-learning program 237 nursing students from a regional university in New South Wales, Australia completed the 35 item LSAeL instrument. An exploratory factor analysis (EFA) was then conducted to explore the dimensionality of the instrument. RESULTS: Exploratory factor analysis identified a seven-factor solution with 30 items, explaining an 86.1% of the total variance, was the best fit for the data. CONCLUSION: The study demonstrates that the construct validity of the LSAeL instrument is acceptable. Instrument development is an iterative process and further testing with other cohorts and in other settings is required.

An evaluation of general practice nurses' knowledge of chronic kidney disease risk factors and screening practices following completion of a case study-based asynchronous e-learning module.

National and international guidelines recommend opportunistic screening for chronic kidney disease to allow for early detection and management. Despite these guidelines, screening for chronic kidney disease in general practice settings is often suboptimal. This paper reports the results of a study that evaluated: (a) the effect of an asynchronous web-based e-learning module on general practice nurses' knowledge about chronic kidney disease risk factors and screening practices; and (b) general practice nurses' perceived satisfaction with the e-learning module. Changes in chronic kidney disease knowledge were assessed using a pre-test and post-test evaluative design, and satisfaction scores were measured on completion of the module. Participants' baseline knowledge scores were poor, with mean pre-test scores of 3.77 (s.d. 1.66) out of 10. Post-test scores revealed a significant improvement (mean difference 1.81, (95% CI: 1.53 - 2.09), P < 0.01); however, overall final scores remained inadequate. Participants highly rated their satisfaction with the design of the module. Our results suggest that an asynchronous web-based e-learning module can improve general practice nurses' knowledge about chronic kidney disease risk factors and screening practice. Efforts are required to increase practice nurses' access to educational opportunities designed to improve knowledge in this area with the aim of increasing opportunistic screening for chronic kidney disease in the general practice setting.

The CKD-DETECT study: An RCT aimed at improving intention to initiate a kidney health check in Australian practice nurses.

BACKGROUND: The burden of Chronic Kidney Disease (CKD) on the Australian health system is growing. Efforts to reverse this trend have not been successful. This paper evaluates the effectiveness of a targeted asynchronous web based e-learning module on general practice nurses' behavioural intentions in relation to opportunistic screening practices for people at risk of CKD. DESIGN: Double blinded pre-post interventional randomised control design. METHODS: Participants were nurses working in general practice settings in Australia. Participants were randomised to a knowledge based active control or targeted behavioural based intervention which were delivered using asynchronous e-learning modules. The intervention was designed to influence the behavioural constructs of the theory of planned behaviour (TPB): attitude, subjective norm and perceived behavioural control (PBC). RESULTS: Of the 420 participants, we analysed the primary and secondary outcomes for 212 (50.47%) who had complete follow up data. There were no significant differences (p 0.424, [d] 0.04) in behavioural intention between the intervention and control groups at follow-up, when controlling for baseline values. However, regression models assessing the relationship between the change in the TPB constructs and behavioural intention at follow-up for all participants, regardless of study arm, demonstrated a significant change in intention to initiate a kidney health check. Although these changes could not be attributed to the effect of the intervention. Attitude (r2 = 0.3525, p 0.0004) and PBC (r2 = 0.3510, p 0.0005) models accounted for approximately 35% of the explained variance in behavioural intentions and social norm (r2 = 0.3297, p 0.0171) accounted for approximately 33% of the variance. When all TPB constructs were included in the model, 37% of the variance in intention was explained. CONCLUSION: A targeted behavioural online intervention was no more effective than a knowledge based online program to improve primary health care nurses' intention to initiate a kidney health check in people at risk of chronic kidney disease. RELEVANCE TO CLINICAL PRACTICE: Collaborative efforts are required by all staff working in general practice to develop models of care to improve screening practices for chronic kidney disease. Future research should focus on interventions that improve collaboration between health care professionals in the primary care setting and public health campaigns to increase awareness of risks of CKD and the importance of screening in the primary care setting.

A simple filter model to guide the allocation of healthcare resources for improving the treatment of depression among cancer patients.

BACKGROUND: Depression is highly prevalent yet often poorly detected and treated among cancer patients. In light of the move towards evidence-based healthcare policy, we have developed a simple tool that can assist policy makers, organisations and researchers to logically think through the steps involved in improving patient outcomes, and to help guide decisions about where to allocate resources. METHODS: The model assumes that a series of filters operate to determine outcomes and cost-effectiveness associated with depression care for cancer patients, including: detection of depression, provider response to detection, patient acceptance of treatment, and effectiveness of treatment provided. To illustrate the utility of the model, hypothetical data for baseline and four scenarios in which filter outcomes were improved by 15% were entered into the model. RESULTS: The model provides outcomes including: number of people successfully treated, total costs per scenario, and the incremental cost-effectiveness ratio per scenario compared to baseline. The hypothetical data entered into the model illustrate the relative effectiveness (in terms of the number of additional incremental successes) and relative cost-effectiveness (in terms of cost per successful outcome and total cost) of making changes at each step or filter. CONCLUSIONS: The model provides a readily accessible tool to assist decision makers to think through the steps involved in improving depression outcomes for cancer patents. It provides transparent guidance about how to best allocate resources, and highlights areas where more reliable data are needed. The filter model presents an opportunity to improve on current practice by ensuring that a logical approach, which takes into account the available evidence, is applied to decision making.

The pattern of anxiolytic and hypnotic management by Australian general practice trainees.

INTRODUCTION AND AIMS: Guidelines recommend anxiolytics and hypnotics (A/H) as second-line, short-term medications. We aimed to establish prevalence and associations of A/H prescribing by Australian general practice (GP) trainees. DESIGN AND METHODS: A cross-sectional analysis from a cohort study of vocational trainees from four GP Regional Training Providers during 2010-2013. General practice trainees act as independent practitioners (including for prescribing purposes) while having recourse to advice from a GP supervisor. Practice and trainee demographic data were collected as well as patient, clinical and educational data from 60 consecutive consultations of each trainee each training term. Analysis was at the level of individual problem managed, with the outcome factor being prescription of any anxiolytic or hypnotic. RESULTS: Overall, 645 registrars (response rate 94.0%) prescribed 68 582 medications in 69 621 consultations (with 112 890 problems managed). A/Hs were prescribed for 1.3% of problems managed and comprised 2.2% of all prescriptions. They were prescribed particularly for insomnia (28.2%) or anxiety (21.8%), but also for many 'off-label' indications. Significant associations of A/H prescriptions were: patient-level (greater age, Aboriginal and Torres Strait Islander status, English-speaking background, being new to the trainee but not to the practice); trainee-level (male) and consultation-level (longer duration, pre-existing problem, specialist referral not being made). Prescribing was significantly lower in one of the four Regional Training Providers. DISCUSSION AND CONCLUSIONS: GP trainees, inconsistent with most guideline recommendations, prescribe A/Hs mainly as maintenance therapy to unfamiliar and older patients. Our results suggest that changes in management approaches are needed which may be facilitated by support for psychotherapeutic training. [Holliday SM, Morgan S, Tapley A, Henderson KM, Dunlop AJ, van Driel ML, Spike NA, McArthur LA, Ball J, Oldmeadow CJ, Magin PJ. The pattern of anxiolytic and hypnotic management by Australian general practice trainees. Drug Alcohol Rev 2017;36:261-269].