CCCharlotte J. W. Connell

Charlotte J. W. Connell

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Charlotte J. W. Connell has a total of 22 co-authors. Here are the top co-authors by number of shared publications:

  • Warwick Bagg

    School of Medicine, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand

    3 shared publications
  • Antonia C. Verstappen

    The Centre for Medical and Health Sciences Education, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand

    2 shared publications
  • Phillippa Poole

    School of Medicine, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand

    2 shared publications
  • Phillippa Poole

    University of Auckland, Auckland, New Zealand

    2 shared publications
  • Alexa Srzich

    Department of Exercise Sciences, Centre for Brain Research, University of Auckland, Auckland, 1142, New Zealand

    1 shared publication
  • Alexander J Salkeld

    Otago Medical School, University of Otago, Christchurch, New Zealand

    1 shared publication

Latest Publications

  • Open Access

    Sample representativeness and influence of attrition on longitudinal data collected as part of a national medical career tracking project

    by Charlotte J. W. Connell, Alexander J Salkeld, Cameron Wells, Antonia C. Verstappen, Phillippa Poole, Tim J Wilkinson, Warwick Bagg

    Background: The Medical Schools Outcomes Database and Longitudinal Tracking Project (MSOD) in New Zealand is one example of a national survey-based resource of medical student experiences and career outcomes. Longitudinal studies of medical students are valuable for evaluating the outcomes of medical programs against workforce objectives. As a prospective longitudinal multiple-cohort study, survey response rates at each collection point of MSOD vary. This paper assesses the effects of participant non-response rates on MSOD data. Methods: Demographic variables of MSOD respondents between 2012 and 2018 were compared to the distribution of the demographic variables in the population of all NZ medical graduates to ascertain whether respondent samples at multiple survey collection points were representative of the population. Analysis using logistic regression assessed the impact of participant non-response on variables at collection points throughout MSOD. Results: 2874 out of a total population of 2939 domestic medical students graduating between 2012 and 2018 responded to MSOD surveys. Entry and exit surveys achieved response rates around 80% and were broadly representative of the total population on demographic variables. Post-graduation survey response rates were around 50% of the total population of graduates and underrepresented graduates from the University of Auckland. Between the entry and exit and the exit and postgraduation year three samples, there was a significant impact of non-response on ascribed variables, including age at graduation, university, gender and ethnic identity. Between the exit and postgraduation year one sample, non-response significantly impacted ascribed and non-ascribed variables, including future practice intentions. Conclusion: Samples collected from MSOD at entry and exit are representative, and findings from cross-sectional studies using these datasets are likely generalisable to the wider population of NZ medical graduates. Samples collected one and three years post-graduation are less representative. Researchers should be aware of this bias when utilizing these data. When using MSOD data in a longitudinal manner, e.g. comparing the change in career intentions from one collection point to the next, researchers should appropriately control for bias due to non-response between collection points. This study highlights the value of longitudinal career-tracking studies for answering questions relevant to medical education and workforce development.


  • Open Access

    Women's interest in surgery as a career in the early postgraduate period: a national longitudinal study

    by Juliette A. Meyer, Charlotte J. W. Connell, Sarah Rennie, Antonia C. Verstappen, Phillippa J. Poole

    Background: Women remain underrepresented in Surgery in Aotearoa New Zealand (AoNZ). This study described interest in surgical careers by gender in the early postgraduate period and associated influencing factors.Methods: AoNZ medical graduates between 2012 and 2016 responding to an Exit Questionnaire (EQ) at graduation and 3 years later (PGY3) as part of the Medical Schools Outcomes Database and Longitudinal Tracking Project (MSOD) were included. Analyses of specialty preferences and influences by gender were performed.Results: Of 992 participants, 58% were women. At EQ, 158 participants (16%) had a surgical preference: 21% of men and 14% of women (P < 0.01). By PGY3, this was 20% of men and 10% of women (P < 0.01). A logistic regression found women were half as likely as men to have a surgical preference at PGY3. Those with a surgical preference at EQ were over 23 times more likely to have a surgical preference at PGY3, irrespective of gender. There were significant differences in self‐reported career influencing factors between women and men at EQ and PGY3, as well as between PGY3 women with a surgical and those with a non‐surgical preference. These included nature of the specialty, training requirements, lifestyle, family and personal factors.Conclusions: Increasing the proportion of women in Surgery requires a multifaceted approach starting during medical school and continuing through early postgraduate years. More needs to be done to make surgical experiences as an undergraduate and junior doctor appealing to women.


  • Open Access

    Effects of a regional–rural immersion program in Northland, New Zealand, on returning to work in that region

    by Charlotte J. W. Connell, Warwick Bagg, Emmanuel Jo, Phillippa Poole

    Introduction: It is well established that rural workforce outcomes are more likely among medical graduates who spend time training in non‐urban areas; however, fewer studies have assessed whether graduates are more likely to return to the specific area where they undertook rural training.Objective: This study aimed to determine whether graduates who had undertaken a regional–rural immersion program in Northland, NZ, were more likely to have returned to work in Northland as of mid‐2021, relative to peers who did not participate.Design: This prospective cohort study used longitudinal tracking survey responses, medical school administrative data and workforce outcome information. A multinomial model, accounting for other covariates, was built to determine the association between graduates practising in Northland (population ⟨ 100 000), which encompasses both rural (population ⟨ 25 000) and regional (25 000 ⟩ population ⟨ 100 000) areas, and having participated in a Northland‐based immersion program during medical school. The study population was University of Auckland domestic medical students graduating between 2009 and 2018, inclusive. Immersion program participants who responded to longitudinal career tracking surveys were included in the study sample.Findings: The final sample size was 1320 students (80% of population of interest). Graduates who undertook the Northland immersion program (n = 169) were more likely than non‐participants (n = 1151) to be working in Northland as of 2020–2021 (relative risk: 3.2).Discussion and Conclusion: Regional–rural immersion programs might preferentially build workforces in that specific region; however, further research is required to understand whether these findings are generalizable, and the main reasons for this effect.


  • How rural is rural? The relationship between rural background of medical students and their career location intentions

    by Phillippa Poole, Dylan Van Lier, Antonia Verstappen, Warwick Bagg, Charlotte J.W. Connell, Garry Nixon, Tim J. Wilkinson

    Objective Rural background is associated with greater interest in rural practice. However, there is no universally agreed definition of ‘rural’ background used in medical school selection. This study explored the association between definitions of ‘rural’ background and students’ intended career locations. Design Prospective cohort study using survey data on career intention, hometown size, rurality of background, home address, high school and intended career location. Setting University of Auckland, New Zealand (NZ). Participants Commencing medical students 2009-2017, inclusive. Main outcome measures Univariate associations between student background according to 7 definitions of ‘rural’, and 3 definitions of intended practice location based on population size: urban intention (>100 000); regional intention (25 000-100 000); rural intention (P < .0001). Conclusion Rural intention varies by definition, but the number of students captured by each definition is important. Applying a binary or overly restrictive definition may limit interested students. Medical schools should adopt a definition of ‘rural’ that optimises the number of eligible students and their propensity to work rurally. Further, alternative ways of identifying students with rural intentions without a rural background should be explored.


  • Open Access

    National study of the impact of rural immersion programs on intended location of medical practice in New Zealand

    by Yasmine Abid, Charlotte J Connell, Branko Sijnja, Antonia C Verstappen, Phillippa Poole

    RRH: Rural and Remote Health. Published article number: 5785 - National study of the impact of rural immersion programs on intended location of medical practice in New Zealand


  • Open Access

    Fatigue-related impairments in oculomotor control are prevented by norepinephrine-dopamine reuptake inhibition

    by Charlotte J. W. Connell, Benjamin Thompson, Jason Turuwhenua, Alexa Srzich, Nicholas Gant

    Fatigue-induced reductions in saccade velocity have been reported following acute, prolonged exercise. Interestingly, the detrimental impact of fatigue on oculomotor control can be prevented by a moderate dose of caffeine. This effect may be related to central catecholamine upregulation via caffeine’s action as an adenosine antagonist. To test this hypothesis, we compared the protective effect of caffeine on oculomotor control post-exercise to that of a norepinephrine-dopamine reuptake inhibitor. Within a placebo-controlled crossover design, 12 cyclists consumed placebo, caffeine or a norepinephrine-dopamine reuptake inhibitor (bupropion) during 180 minutes of stationary cycling. Saccades, smooth pursuit and optokinetic nystagmus were measured using infrared oculography. Exercise fatigue was associated with an 8 ± 11% reduction in the peak velocity of prosaccades, and a 10 ± 11% decrement in antisaccade peak velocity. Optokinetic nystagmus quick phases decreased in velocity by 15 ± 17%. These differences were statistically significant (p < 0.05). Norepinephrine-dopamine reuptake inhibition and caffeine prevented fatigue-related decrements in eye movement velocity. Pursuit eye movements and visual attention were unaffected. These findings show that norepinephrine-dopamine reuptake inhibition protects oculomotor function during exercise fatigue. Caffeine’s fatigue-reversing effects on eye movements appear to be mediated, at least in part, via modulation of central catecholamines.