Exploring factors influencing outpatient radiology attendance based on Health Belief Model (HBM): A qualitative study.

INTRODUCTION: Non-attendance for radiology outpatient appointments is a global issue and is associated with adverse clinical outcomes and operational inefficiencies. This paper aims to understand the underlying factors influencing outpatient radiology attendances based on the Health Belief Model (HBM). METHODS: Purposive sampling was used to recruit patients (n=30) for in-depth semi-structured telephone interviews. Inclusion criteria comprised participants who were above 21 years old and fluent in English, while participants reliant on third-party assistance (e.g., nursing homes and prison services), to attend the appointment were excluded. The interviews were recorded and transcribed verbatim. The COREQ (Consolidated Criteria for Reporting Qualitative Research) was utilised to guide the reporting of this study. The data analysis involved a hybrid thematic analysis approach using NVivo. RESULTS: Six key themes associated with appointment adherence in radiology were identified. These themes included: 1) prioritising health and acceptance of current medical conditions; 2) the impact of perceived severity on non-attendance; 3) perceived benefits of attending appointments; 4) perceived barriers to attendance; 5) influential prompts; and 6) confidence in attendance. CONCLUSION: This is the first study of its kind to utilise the HBM to examine factors influencing attendance adherence among radiology outpatients in Singapore. Costs, prompts, and the perceived severity of the condition play pivotal roles in shaping the health-seeking behaviours of these outpatients while professionalism of healthcare staff and barriers to attendance present opportunities for providers to address patients' lack of interest towards their appointments. IMPLICATIONS FOR PRACTICE: Findings of this study will contribute to the development of personalised, targeted interventions for improving patient engagement and attendance in radiology settings.

Service evaluation of radiographer-led vetting and protocoling of Computed Tomography (CT) scan requests in a Singapore public healthcare institution.

INTRODUCTION: A service improvement project involving the vetting and protocoling of Computed Tomography (CT) scan requests by qualified CT radiographers was initiated in 2018. AIM: This study provides a comprehensive evaluation of how a radiographer-led initiative aims to ensure that the CT scan requests received by the Radiology department are clinically appropriate, which in turn will reduce interruptions to the interpretation and reporting of imaging examinations by radiologists, who might otherwise be required to attend to clinically inappropriate and wrongly protocolled CT scan requests. METHOD: Outpatient CT scan requests received from July to October 2021 were vetted and protocolled by a qualified CT-trained radiographer for parameters which included the appropriateness of the clinical indication, adequacy of patient preparation for the scan, as well as the suitability of the requested examination protocol pertaining to the need for contrast media, multiple contrast-enhanced imaging phases, and the appropriateness of the scan range. RESULTS: Poor patient preparation and insufficient or inaccurate clinical indications were the most common findings during the vetting process (71%). Out of the 64 CT scan requests with protocol errors, 77% were attributed to contrast media type errors. The odds of incorrect CT scan requests increased with the requesting clinician's rank, while there was no such significant correlation with the clinical specialty of the requesting clinician or the CT scan type. CONCLUSION: The meticulous vetting of imaging requests helps to ensure that limited imaging hardware resources are allocated to more clinically appropriate cases, correct protocols are applied to requested imaging scans, and that patients undergoing imaging are adequately prepared, thereby enhancing overall patient care. IMPLICATIONS FOR PRACTICE: Vetting of imaging requests by radiographers, who are capable to make appropriate clinical decisions related to their enhanced level of practice ensures patient safety and optimisation of Radiology resources.

The impact of common variables on non-attendance at a radiology centre in Singapore.

INTRODUCTION: With the increasing demand for medical imaging, non-attendance inhibits private and public radiology practices in Singapore from providing timely care and achieving maximal efficiency. Missed radiological appointments adversely affect clinical and economic outcomes and strain the finite healthcare resources. We examined the prevalence and predictors of patient non-attendance for radiological services at a regional public hospital in Singapore and compared them against other medical imaging centres globally. METHODS: Outpatient records of patients who were scheduled for specialised medical imaging obtained from Radiological Information System (RIS) were retrospectively reviewed. Analysed variables include patient demographics, radiology modalities, visit statuses and appointment lead times where Pearson's chi-square test and Fisher's exact test were used for categorical variables, and independent sample t-test was used for continuous variables. The association between each patient characteristic and non-attendance status was assessed using Binary Logistics Regression. Variables that showed statistical significance in univariate analysis were included in the multivariate logistic regression model to identify the independent risk factors associated with non-attendance. RESULTS: Among the 59,748 outpatient appointments with medical imaging requests, 15.5% did not turn up for their appointments. Logistic regression indicated that patient's age, ethnicity, subsidy status, house ownership, living vicinity to regional hospital cluster, appointment wait times, appointment hours and appointment months were significant factors associated with the failure to attend scheduled radiological examinations. CONCLUSION: Even though predictors of non-attendance remained consistent across medical imaging centres worldwide, Singapore reported a higher prevalence of missed appointments calling for future exploratory studies to understand the population's health-seeking behaviours and ordering patterns of clinicians. IMPLICATIONS FOR PRACTICE: Comparison and identification of these predictors will assist in the design of targeted interventions that may improve patient's adherence and utilisation of imaging services.

The 12-hour shift: radiographers' perspectives and its applicability during a pandemic.

INTRODUCTION: Traditionally, shift work for radiographers at our institution comprised of three shift patterns - morning (8am-2pm), afternoon (2pm-9pm) and night (9pm-8am). However, when COVID-19 was first detected in Singapore in January 2020, the 12-h shift was introduced for better team segregation and deployment to meet the service needs of the Emergency Department. The 12-h shift consisted of the day (9am-9pm) and night (9pm-9am) shifts. While the 12-h shift is common to nursing practices, it is new to the radiography profession within the study centre. This study explores the radiographers' perspectives of the new shift and the impact of shift patterns on radiographers' wellness and work performance compared to the original three shift patterns. METHODS: A mixed-methods design study was adopted for this single-centre evaluation. An anonymous online questionnaire was administered to radiographers who had experienced both shift types. Additionally, the number of radiographers who had taken sick leave, and images rejected and accepted from the X-ray consoles were retrospectively collected to measure the impact of the new shift. RESULTS: Radiographers experienced fatigue and appreciated the longer rest days associated with the 12-h shift. Additionally, the sick leave rates and image reject counts were more favourable with the 12-h shift pattern. CONCLUSION: The findings indicate that the extended shift hours are effective during a pandemic but may result in radiographer burnout during a prolonged outbreak. IMPLICATIONS FOR PRACTICE: Studying these variables will provide an effective starting point in understanding the efficacy and applicability of a 12-h shift system during pandemic periods.