Dataset Information

Medical students' responses to uncertainty: a cross-sectional study using a new self-efficacy questionnaire in Aotearoa New Zealand.

ABSTRACT:

Objectives

Responding well to clinical uncertainty is a crucial skill for any doctor. To better understand how medical students develop this skill, Social Cognitive Theory can be used to explore students' perceived capability to respond to situations of uncertainty. This study aimed to construct a self-efficacy questionnaire and use it to measure medical students' responses to clinical uncertainty.

Design

A 29-item questionnaire was constructed. For each item, participants rated their confidence in responding to uncertain situations using a scale of 0-100. Data were analysed with descriptive and inferential statistics.

Setting

Aotearoa New Zealand.

Participants

The questionnaire was distributed to 716 of 852 medical students in second, fourth and sixth year, at the three campuses of the Otago Medical School.

Results

The Self-Efficacy to Respond to Clinical Uncertainty (SERCU) questionnaire was completed by 495 participants (69% response rate) and found to be highly reliable (α=0.93). Exploratory factor analysis confirmed a unidimensional scale. A multiple linear regression model predicted self-efficacy scores from year of study, age, mode of entry, gender and ethnicity, F(11,470) = 4.252, p<0.001 adj. R²=0.069. Male students and those admitted to the programme 3 years postdegree or with significant allied health experience were predicted to have significantly higher self-efficacy scores. Year of study was not a significant predictor of average efficacy scores.

Conclusions

Our research contributes a novel, highly reliable questionnaire that uses self-efficacy to measure medical student responses to uncertainty. The questionnaire revealed that students' confidence in responding to uncertainty may be more related to their background and life experience than to progression through the curriculum. Medical educators and researchers can use the SERCU questionnaire to obtain a new perspective on how their students respond to uncertainty, inform future research and tailor teaching about uncertainty.

SUBMITTER: Lee C

PROVIDER: S-EPMC10277104 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Medical students' responses to uncertainty: a cross-sectional study using a new self-efficacy questionnaire in Aotearoa New Zealand.

Lee Ciara C Hall Katherine K Anakin Megan M Pinnock Ralph R

BMJ open 20230609 6

<h4>Objectives</h4>Responding well to clinical uncertainty is a crucial skill for any doctor. To better understand how medical students develop this skill, Social Cognitive Theory can be used to explore students' perceived capability to respond to situations of uncertainty. This study aimed to construct a self-efficacy questionnaire and use it to measure medical students' responses to clinical uncertainty.<h4>Design</h4>A 29-item questionnaire was constructed. For each item, participants rated t ...[more]

PMID: 37295833

Similar Datasets

Project description:The marine-biodiversity assessment of New Zealand (Aotearoa as known to Māori) is confined to the 200 nautical-mile boundary of the Exclusive Economic Zone, which, at 4.2 million km(2), is one of the largest in the world. It spans 30 degrees of latitude and includes a high diversity of seafloor relief, including a trench 10 km deep. Much of this region remains unexplored biologically, especially the 50% of the EEZ deeper than 2,000 m. Knowledge of the marine biota is based on more than 200 years of marine exploration in the region. The major oceanographic data repository is the National Institute of Water and Atmospheric Research (NIWA), which is involved in several Census of Marine Life field projects and is the location of the Southwestern Pacific Regional OBIS Node; NIWA is also data manager and custodian for fisheries research data owned by the Ministry of Fisheries. Related data sources cover alien species, environmental measures, and historical information. Museum collections in New Zealand hold more than 800,000 registered lots representing several million specimens. During the past decade, 220 taxonomic specialists (85 marine) from 18 countries have been engaged in a project to review New Zealand's entire biodiversity. The above-mentioned marine information sources, published literature, and reports were scrutinized to give the results summarized here for the first time (current to 2010), including data on endemism and invasive species. There are 17,135 living species in the EEZ. This diversity includes 4,315 known undescribed species in collections. Species diversity for the most intensively studied phylum-level taxa (Porifera, Cnidaria, Mollusca, Brachiopoda, Bryozoa, Kinorhyncha, Echinodermata, Chordata) is more or less equivalent to that in the ERMS (European Register of Marine Species) region, which is 5.5 times larger in area than the New Zealand EEZ. The implication is that, when all other New Zealand phyla are equally well studied, total marine diversity in the EEZ may be expected to equal that in the ERMS region. This equivalence invites testable hypotheses to explain it. There are 177 naturalized alien species in New Zealand coastal waters, mostly in ports and harbours. Marine-taxonomic expertise in New Zealand covers a broad number of taxa but is, proportionately, at or near its lowest level since the Second World War. Nevertheless, collections are well supported by funding and are continually added to. Threats and protection measures concerning New Zealand's marine biodiversity are commented on, along with potential and priorities for future research.

Project description:Identification of pyraloid species is often hampered by highly similar external morphology requiring microscopic dissection of genitalia. This becomes especially obvious when mass samples from ecological studies or insect monitoring have to be analysed. DNA barcode sequences could accelerate identification, but are not available for most pyraloid species from New Zealand. Hence, we are presenting a first DNA-barcode library for this group, providing 440 COI barcodes (cytochrome C oxidase I sequences) for 73 morphologically-identified species, which is 29% of Pyraloidea known from New Zealand. Results are analysed using the Barcode Index Number system (BIN) of BOLD and the Automatic Barcode Gap Discovery method (ABGD). Using BIN, the 440 barcodes reveal 82 clusters. A perfect match between BIN assignment and morphological identification was found for 63 species (86.3%). Four species (5.5%) share BINs, each with two species in one BIN, of which Glaucocharis epiphaea and Glaucocharis harmonica even share the same barcode. In contrast, six species (8.2%) split into two or more BINs, with the highest number of five BINs for Orocrambus ramosellus. The interspecific variation of all collected specimens of New Zealand Pyraloidea averages 12.54%. There are deep intraspecific divergences (> 2%) in seven species, for instance Orocrambus vulgaris with up to 6.6% and Scoparia ustimacula with 5.5%. Using ABGD, the 440 barcodes reveal 71 or 88 operational taxonomic units (OTUs), depending on the preferred partition. A perfect match between OTU and morphological identification was found for 56 species (76.7%) or 62 species (84.9%). ABGD delivers four or seven species sharing OTUs and four or ten species split into more than one OTU. Morphological re-examination, as well as the analysis of a concatenated dataset of COI and the nuclear markers EF1α and GADPH for species split into more than one BIN or OTU, do not support a higher number of species. Likewise, there is no evidence for Wolbachia infection as a trigger for these sequence variations.

Project description:IntroductionAotearoa/New Zealand (NZ) is officially recognised as a bicultural country composed of Māori and non-Māori. Recent estimations have projected a threefold increase in dementia prevalence in NZ by 2050, with the greatest increase in non-NZ-Europeans. The NZ government will need to develop policies and plan services to meet the demands of the rapid rise in dementia cases. However, to date, there are no national data on dementia prevalence and overseas data are used to estimate the NZ dementia statistics. The overall aim of the Living with Dementia in Aotearoa study was to prepare the groundwork for a large full-scale NZ dementia prevalence study.Methods and analysisThe study has two phases. In phase I, we will adapt and translate the 10/66 dementia assessment protocol to be administered in Māori, Samoan, Tongan and Fijian-Indian elders. The diagnostic accuracy of the adapted 10/66 protocol will be tested in older people from these ethnic backgrounds who were assessed for dementia at a local memory service. In phase II, we will address the feasibility issues of conducting a population-based prevalence study by applying the adapted 10/66 protocol in South Auckland and will include NZ-European, Māori, Samoan, Tongan, Chinese and Fijian-Indian participants. The feasibility issues to be explored are as follows: (1) how do we sample to ensure we get accurate community representation? (2) how do we prepare a workforce to conduct the fieldwork and develop quality control? (3) how do we raise awareness of the study in the community to maximise recruitment? (4) how do we conduct door knocking to maximise recruitment? (5) how do we retain those we have recruited to remain in the study? (6) what is the acceptability of study recruitment and the 10/66 assessment process in different ethnic groups?Ethics and disseminationThe validity and feasibility studies were approved by the New Zealand Northern A Health and Disability Ethics Committee (numbers 17NTA234 and 18NTA176, respectively). The findings will be disseminated through peer-reviewed academic journals, national and international conferences, and public events. Data will be available on reasonable request from the corresponding author.

Dataset Information

Medical students' responses to uncertainty: a cross-sectional study using a new self-efficacy questionnaire in Aotearoa New Zealand.

Objectives

Design

Setting

Participants

Results

Conclusions

Publications

Medical students' responses to uncertainty: a cross-sectional study using a new self-efficacy questionnaire in Aotearoa New Zealand.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets