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Journal of Primary Health Care Journal of Primary Health Care Society
Journal of The Royal New Zealand College of General Practitioners
RESEARCH ARTICLE (Open Access)

Patient representation in New Zealand general practice and rural health case-based teaching: a quality improvement exercise

Jessica Gu 1 , Jim Ross https://orcid.org/0000-0002-2636-7439 1 , Sharon Leitch https://orcid.org/0000-0001-9939-8773 1 *
+ Author Affiliations
- Author Affiliations

1 Department of General Practice and Rural Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.

* Correspondence to: sharon.leitch@otago.ac.nz

Handling Editor: Felicity Goodyear-Smith

Journal of Primary Health Care 15(3) 281-287 https://doi.org/10.1071/HC23070
Published: 7 August 2023

© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of The Royal New Zealand College of General Practitioners. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Introduction

Healthcare inequity disproportionately affects minority populations in Aotearoa New Zealand. Healthcare providers may contribute to inequity due to their biases. Medical education can unintentionally promote biases by reinforcing stereotypes or limiting exposure to diversity. Teaching staff from the Department of General Practice and Rural Health suggested a need to review current teaching materials to ascertain if they have the potential to contribute to this bias.

Aim

The aim of this study was to review case-based teaching material to determine its representation of the New Zealand population, and whether there is potential to contribute to implicit bias.

Methods

Document analysis of 135 cases used to teach fourth- and fifth-year medical students in the Department of General Practice and Rural Health, Otago Medical School was performed. Demographic, clinical and social features of each case were recorded and analysed.

Results

Cases typically included patient age (129/135, 95.6%), sex (127/135, 94.1%) and occupation status (91/136, 66.9%). Ethnicity (31/135, 23.0%), living situation (55/135, 40.7%), relationship status (57/135, 42.2%) and sexual orientation (52/135, 40.0%) were less frequently defined. Cases typically represented the population majority norms.

Discussion

Case-based teaching materials require regular review and updating to match population demographics. There is potential to improve representation of diversity, and hence cultural safety, though review and revision of written teaching cases.

Keywords: bias, clinical teaching, diversity, equity, inclusion, medical education, minority groups, New Zealand, representation.

WHAT GAPS THIS FILLS
What is already known: A medical school curriculum that lacks diversity, inclusion and equity can increase student bias. This is detrimental in medical practice and may contribute to healthcare disparities.
What this study adds: This research found a lack of diversity in the case-based teaching materials used in an undergraduate general practice education programme. This work provides impetus to drive the development of more representative cases that may improve cultural safety in medical education and the future health workforce.

Introduction

Healthcare providers contribute to health inequity through their biases,1 resulting in reduced access to health care, reduced health promotion, lower health expectations and worse health outcomes.2 Ethnicity, weight, socioeconomic status and sexual orientation are the most prevalent biases in health care.35 New Zealand medical practitioners have an obligation to uphold Te Tiriti o Waitangi, but Māori continue to experience health inequity and worse health outcomes compared to non-Māori.6 Health inequity is also experienced by Pasifika, Asian, MELAA (Middle Eastern, Latin American and African peoples), former refugees, LGBTQI+ and disability communities.7

Biases can be conveyed through attitudes, words or actions. Explicit biases are conscious attitudes, whereas implicit biases are unconscious cognitive associations.8 Medical school culture can teach and reinforce biases,9,10 influencing how students respond to their patients.11 A biased health workforce is one driver of inequity.12 Conversely, cultural safety promotes a respectful and non-discriminatory health environment and is an essential element of quality care.1315 A medical school curriculum that provides opportunities for self-reflection and has a continuous focus on cultural safety can address biases.13,16,17

Case studies are widely used in medical education and ideally represent the wider population demographics.17 Students at the University of Otago Dunedin School of Medicine currently spend 15 weeks in general practice and rural health (GPRH) modules. Students are taught in clinical placements, tutorials, simulated safe and effective outcome (SECO) clinics and are assessed via objective structured clinical examinations (OSCEs).18,19 SECO and OSCE cases typically involve a simulated patient played by an actor. OSCE and SECO cases are developed to simulate holistic patients, therefore, contain more information than tutorial vignettes developed to illustrate a point.

Cases describing Māori patients had been archived because they portrayed negative cultural stereotypes. GPRH teaching staff are now concerned about the limited diversity of the remaining cases, and how that may contribute towards patient stereotyping and bias. Therefore, this project aims to determine how well teaching cases used in GPRH represent the New Zealand population.

Method

Document analysis is an effective method of evaluating the diversity of teaching material, and has been used in a similar exercise undertaken in the University of Otago School of Pharmacy.20

All documentation that included case-based teaching conducted in GPRH across the year 4 and 5 curriculum was reviewed. These included tutorial handouts featuring clinical vignettes, SECO clinic cases and OSCE cases. Cases were included in the study if they contained at least one piece of demographic or social data. Cases were excluded if there was no demographic information provided (ie the case only described a medical condition and/or medication). Data was extracted and recorded by JG.

Case data were categorised according to the following characteristics: demographic (age, sex, gender, ethnicity, employment status, employment type, living situation, relationship status, sexual orientation and religion), clinical (medical conditions, number of medications, allergy status, height, weight, body mass index (BMI) and immunisation status) and social (smoking status, alcohol use, recreational drug use, exercise and diet). The categories used are based on the New Zealand Census criteria and the Ariā classification management system.21 Ariā provides definitions, classifications, concordances and standards used for data and statistical activities across the New Zealand government.22

Details were recorded if present; if absent, a characteristic was marked as undefined. Non-specific characteristics were also recorded as undefined. For example, patient name was not considered to provide sufficient information to define sex, gender or ethnicity. Names may be unisex, used unconventionally or change (eg because of adoption or marriage). However, pronouns (he/him, she/her and they/them) were assumed to be indicators of gender and sex, unless the case explicitly noted the patient was transgender.

Categorisation was discussed between the authors and discrepancies resolved. Cases that fitted more than one category (eg multiple medical conditions or comorbidities) were included in each relevant category, resulting in higher totals in some categories than the overall number of cases.

Categorised data were summarised using simple descriptive statistics (number and percentage of cases). Data were stratified by teaching mode.

The documents analysed were printed teaching materials containing fictional clinical cases. No people, medical records or human tissues were involved in this document analysis, therefore, no formal ethical review was undertaken.

Results

One hundred and thirty five clinical teaching cases met the inclusion criteria for the document analysis. There were 39 SECO, 45 OSCE and 51 tutorial cases.

Demographic characteristics are described in Table 1. Age of cases was well defined (129/135, 95.6%). Age of cases ranged from 18 months to 91 years of age. The most common age category for cases was the 21–40 year age group. Ethnicity was infrequently defined. Only 31/135 (23.0%) of cases had ethnicity defined; these were always under the category of NZ European (defined ethnicities included NZ European, NZ Pakeha, NZ Portuguese, Caucasian and English). No cases explicitly represented other important ethnic groups in New Zealand, including Māori, Pacific, Asian or MELAA peoples. Employment status was comparatively well defined, particularly in OSCE and SECO cases (90/135, 66.7%). Most cases were employed, typically in professional occupations (21/68, 30.9%). Living situation (55/135, 40.7%), relationship status (57/135, 42.2%) and sexual orientation (52/135, 40.0%) were mostly undefined.

Table 1. Demographic characteristics.

Demographic characteristicsNumber (%)
Age (years)0–2027 (20.0)
21–4041 (30.4)
41–6040 (29.6)
61–8019 (13.1)
81+2 (1.5)
Undefined6 (4.4)
SexFemale69 (51.1)
Male58 (43.0)
Undefined8 (5.9)
GenderCis-gender127 (94.1)
Undefined8 (5.9)
EthnicityNZ European31 (23.0)
Undefined104 (77.0)
Occupational status (n = 136)Child or student23 (16.9)
Employed58 (42.6)
Unemployed1 (0.7)
Retired9 (6.6)
Undefined45 (33.1)
Living situationLives alone11 (8.1)
Lives with one family member38 (28.1)
Other multi-person household6 (4.4)
Undefined80 (59.3)
Relationship statusNever married nor in a civil union25 (18.5)
Married24 (17.8)
Widowed or surviving civil union partner5 (3.7)
Divorced, dissolved or separated3 (2.2)
Undefined78 (57.8)
Sexual orientationHeterosexual52 (40.0)
Undefined83 (60.0)
ReligionChristian3 (2.0)
Undefined132 (97.8)

Clinical characteristics are described in Table 2. Every scenario described at least one medical condition. Skin infections (12/138, 8.7%), respiratory infections (10/138, 7.2%), hepatobiliary disease (9/138, 6.5%), injuries (9/138, 6.5%) and reproductive health (8/138, 5.8%) were the most common. Most cases had no comorbidities (89/142, 62.7%). Of cases with comorbidities, hypertension (14/142, 9.9%), type 2 diabetes (6/142, 4.2%) and arthritis (5/142, 3.5%) were the most common. Clinical presentations were evenly distributed between sex categories. Some cases were adaptable to permit both a female and male version. However, there were some exceptions. Females were overrepresented in cases describing sexually transmitted infections (3/3, 100.0%) and depression (3/4, 75.0%). Males were overrepresented in cases describing arthritis (5/7, 71.4%) and COPD (3/4, 75.0%; undefined 1/4, 25.0%). In some adaptable cases, minor alterations in the narrative could be interpreted as stereotyping, eg an otherwise identical case varied only by female comorbid depression and male comorbid hypertension. Medications were mostly defined, with the highest category being 1–4 medications (49/135, 36.3%). Medications were generally well defined in OSCEs (30/45, 66.7%) and SECOs (31/39, 79.5%), but not in tutorial cases (9/51, 17.7%).

Table 2. Clinical characteristics.

Clinical characteristicsPresenting complaint n = 138 (%)Comorbidity n = 142 (%)
Medical conditionCardiovascular12 (8.7)18 (12.7)
Respiratory19 (13.8)8 (5.6)
Neurological4 (2.9)2 (1.4)
Renal7 (5.1)1 (0.7)
Endocrine13 (9.4)10 (7.0)
Cancer10 (7.2)1 (0.7)
Dermatology16 (11.6)1 (0.7)
Gastrointestinal16 (11.6)2 (1.4)
Musculoskeletal12 (8.7)7(4.9)
Mental health4 (2.9)2 (1.4)
Other21 (15.2)1 (0.7)
No medical condition1 (0.7)40 (28.2)
Undefined3 (2.2)49 (34.5)
MedicationNo medications20 (14.8)
1–4 Medications49 (36.3)
5–9 Medications1 (0.7)
Undefined65 (48.1)
AllergyAllergy present4 (3.0)
No known allergy32 (23.7)
Undefined99 (73.3)
Immunisation statusDefined25 (18.5)
Undefined110 (81.5)
HeightDefined4 (3.0)
Undefined131 (97.0)
WeightDefined7 (5.2)
Undefined128 (94.8)
BMIDefined8 (5.9)
Undefined127 (94.1)

Social characteristics were included in most OSCEs and SECOs, although were usually absent from tutorial cases (Table 3). Overall, smoking status (61/135, 45.2%), alcohol status (58/135, 43.0%), recreational drug use (20/135, 14.8%), exercise (36/135, 26.7%) and diet (12/135, 8.9%) were undefined. All seven cases including recreational drugs use were students. Exercise and dietary information were rarely included and were usually only present if relevant to the presenting condition, eg veganism and vitamin B12 deficiency.

Table 3. Social characteristics.

Social characteristicsN = 135 (%)
Smoking statusSmoker11 (8.1)
Ex-smoker6 (4.4)
Never-smoker44 (32.6)
Undefined74 (54.8)
Alcohol useRegular drinker18 (13.3)
Occasional drinker31 (23.0)
Does not drink9 (6.7)
Undefined77 (57.0)
Recreational drug useNo13 (9.6)
Yes7 (5.2)
Undefined115 (85.2)
ExerciseRegular26 (19.3)
Occasional2 (1.5)
None8 (5.9)
Undefined99 (73.3)
DietAvailable12 (8.9)
Undefined123 (91.1)

Discussion

This study audited the clinical cases presented to year 4 and 5 medical students during their GPRH rotations. Basic demographic details were usually well defined, however, important markers of diversity including ethnicity, gender, sexual orientation, living situation and religion were not. If stated, demographic details described the majority groups of the New Zealand population – ie most cases were NZ European, heterosexual and living with at least one other person.

Medical conditions and medications were well defined. Cases with sexually transmitted diseases, major depressive disorders and urinary tract infections were mainly female, while those with COPD, arthritis or hypertension were more often male.

Social characteristics were rarely defined, particularly in the tutorial vignettes. This may be justified as the teaching purpose of these vignettes differs to that of the OSCE and SECO cases which are developed to simulate a holistic patient rather than focus solely on their medical condition. Recreational drug use was poorly defined, despite 49.0% of the adult population (aged 16–64 years) having used recreational drugs at least once.23 Furthermore, all drug users in these cases were between the ages of 17 and 22 years, which may exacerbate the stereotype of younger individuals and drug use.

Similar research conducted by the University of Otago School of Pharmacy found that the curriculum was lacking in diversity and had potential to contribute to systemic racism, prejudice and implicit bias within the education system.20 A University of Auckland Medical School study confirmed the presence of ethnic bias among medical students, although this was not associated with altered clinical decision making.11 Other studies consider education to hold an important role for the development or mitigation of implicit bias.6,24,25 Clinical cases used in teaching medical students could be revised to ensure the demographic characteristics of these cases represent a mirror on society, reflecting the University of Otago’s Mirror on Society selection policy, to ensure minority groups are not neglected and negative stereotypes are not reinforced.26

There were also some factors that are important to acknowledge. While female and male cases were evenly distributed, clinical presentations in females favoured sexual health, with some potentially sexist anomalies (eg all sexually transmitted infections occurred in women). Although it is possible that this is consistent with presentation rates in general practice,27 medical school teaching should provide adequate context for presentation rates, eg acknowledging the burden of reproductive health on women, the historical context of limited research in female health, as well as the impact of social constructs on inaccurate stereotyping of disorders, eg ‘male’ heart disease and ‘female’ depression.28

All defined cases were cis-gender and heterosexual, assumed from pronoun use and partner sex. No transgender cases were identified. This lack of diversity may serve to exacerbate the invisible status of LGBTQI+ representation and undermine formal teaching about the health issues and inequities among this population. Transgender patients have unique healthcare considerations and typically have poorer physical and mental health.29 A lack of access to culturally safe providers is a major barrier to care for transgender individuals, with calls made to improve medical student and physician education in transgender health care.29

While primary medical condition was well defined, few cases had comorbidities. This is despite 7.9% of the population having multimorbidity (the co-presence of two or more long term medical conditions) according to past hospital discharge data, and 27.9% using past pharmaceutical dispensing data.30 Multimorbidity is common in the New Zealand population, and is increasingly common with greater age, socioeconomic deprivation and in Māori and Pacific ethnic groups. Patients with multimorbidity are at increased risk of polypharmacy and adverse outcomes. General practitioners are considered vital to the management of multimorbidity. With calls made to improve medical training and education to address this challenge, further focus on the implications of including or excluding multimorbidity in cases should be considered.31

Clinical cases used in teaching medical students could be revised to ensure the demographic characteristics of these cases represent a mirror on society, to ensure minority groups are not neglected and negative stereotypes are not reinforced. A lack of diversity in clinical teaching cases may cause invisibility of these groups, resulting in an inequitable loss of the health benefits they could have received if these social influences on health were considered and addressed.20

Strengths of this study include access to and collection of all cases meeting inclusion criteria, contributing a large body of data for analysis. Inclusion of material from different teaching modalities across the department, including unprecedented access to review OSCE cases, allowed for a complete picture of the Department’s case-based undergraduate teaching curriculum.

There were, however, limitations in this study. While efforts were made to define variables accurately, some variables may have been over- or underestimated. For example, ethnicity was classified as undefined unless explicitly stated in the case stem. Surname was considered an unreliable marker of ethnicity due to marital name changes or modifications and adoption.32 This method meant ethnicity was recorded as ‘not defined’ in cases that may have been written with the intention of adding diversity using ethnically stereotypical surnames, eg ‘Wang’ or ‘Law’. Secondly, the analysed curriculum was composed of different forms of teaching, of which SECO and OSCE cases were intended to be more developed (looking at the patient as a whole) than tutorial vignettes which focus on specific conditions. A practical reason for the lack of definition of certain variables in SECO and OSCE cases were that they use simulated patients. Subsequently, variables based on appearance (eg height, weight, BMI and ethnicity) cannot be too specific to ensure use of available actors. It is possible intended diversity was ‘diluted’ because of the inclusion of the different teaching materials. Finally, this study does not represent student exposure elsewhere in the medical school curriculum to teaching centred around diversity, equity and inclusion.

Limited diversity in teaching materials may cause students to assume patients represent the majority group and may contribute to minority group stereotyping.17 Assumptions may also be reinforced by the name of the case, or appearance of the selected actor. Limited diversity in medical education, including teaching materials, staff and students, may adversely impact cultural safety in medical school and healthcare settings.33 If medical education is culturally homogenous, students from diverse backgrounds may feel alienated and forced to conform to a Western-orientated standard of professionalism rather than encouraging use of the cultural strengths they have.34 Conversely, embracing diversity in medical school education helps develop culturally safe future clinicians.33 Patients treated in culturally safe settings are more likely to receive appropriate health information, adhere to treatment and be satisfied with their care.35 With improvements in cultural safety, the workforce can move closer to achieving health equity.13

Therefore, the findings of this study demonstrate an urgent need to review the teaching cases used through the lens of equity, inclusion and diversity (see Box 1).20 Future health professionals need sustained and consistent opportunities to engage with the diversity and needs of the community they will serve.24

Box 1. How to enhance the culturally safety of a medical curriculum:17,36,37

A major concern that had discouraged case development was that increasing case diversity would require appropriate SECO and OSCE actors, and recruitment might prove too challenging. However, discussion with the actor coordinator was illuminating. They had already been providing more culturally diverse actors on their own initiative and did not feel increasing this further would be too difficult. A meeting of the GPRH teaching staff was held to discuss these findings. Staff had already recognised the issue and were keen to update cases. Staff have requested support from the University of Otago Kōhatu Centre for Hauora Māori, a centre for teaching and research excellence in Hauora Māori, to collaboratively develop culturally appropriate cases. Support to develop other new cases will be sought (eg from Va’a o Tautai, the University of Otago Centre for Pacific Health), to ensure new cases strengthen cultural safety across the curriculum. The cases are now under active review and iterative updates are planned. Future research is proposed to assess the impact of more diverse cases on medical student biases.

Conclusion

This study found teaching cases for medical students lacked diversity, particularly in terms of ethnicity, gender and sexual orientation. This may encourage biases in medical students and contribute to inequity in the healthcare system. This current work has provided impetus to update teaching cases.

Data availability

Data may be available from the corresponding author on request.

Conflicts of interest

The authors declare no competing interests.

Declaration of funding

This research was funded by a University of Otago Health Sciences summer research scholarship awarded to Jessica Gu.

Acknowledgements

The authors acknowledge the support of colleagues from the Department of General Practice and Rural Health for access to cases, as well as Dr Lisa Kremer from the University of Otago School of Pharmacy for consultation on the study.

References

Gonzalez CM, Kim MY, Marantz PR. Implicit bias and its relation to health disparities: a teaching program and survey of medical students. Teach Learn Med 2014; 26(1): 64-71.
| Crossref | Google Scholar |

Van Ryn M, Fu SS. Paved with good intentions: do public health and human service providers contribute to racial/ethnic disparities in health? Am J Public Health 2003; 93(2): 248-55.
| Crossref | Google Scholar |

Harrison LE, White BAA, Hawrylak K, et al. Explicit bias among fourth-year medical students. Bayl Univ Med Cent Proc 2019; 32(1): 50-3.
| Crossref | Google Scholar |

Phelan SM, Puhl RM, Burke SE, et al. The mixed impact of medical school on medical students’ implicit and explicit weight bias. Med Educ 2015; 49(10): 983-92.
| Crossref | Google Scholar |

Burke SE, Dovidio JF, Przedworski JM, et al. Do contact and empathy mitigate bias against gay and lesbian people among heterosexual first-year medical students? A report from the medical student CHANGE study. Acad Med 2015; 90(5): 645-51.
| Crossref | Google Scholar |

Jones R, Pitama S, Huria T, et al. Medical education to improve Māori health. N Z Med J 2010; 123(1316): 113-22.
| Google Scholar |

de Lusignan S, Tsang RSM, Akinyemi O, et al. Adverse events of interest following influenza vaccination in the first season of adjuvanted trivalent immunization: retrospective cohort study. JMIR Public Health Surveill 2022; 8(3): e25803.
| Crossref | Google Scholar |

Gonzalez CM, Lypson ML, Sukhera J. Twelve tips for teaching implicit bias recognition and management. Med Teach 2021; 43(12): 1368-73.
| Crossref | Google Scholar |

Hafferty FW. Beyond curriculum reform: confronting medicine’s hidden curriculum. Acad Med 1998; 73(4): 403-7.
| Crossref | Google Scholar |

10  Wilby KJ, Cox D, Whelan AM, et al. Representation of diversity within written patient cases: exploring the presence of a “hidden curriculum”. J Am Coll Clin Pharm 2022; 5(8): 837-43.
| Crossref | Google Scholar |

11  Harris R, Cormack D, Stanley J, et al. Ethnic bias and clinical decision-making among New Zealand medical students: an observational study. BMC Med Educ 2018; 18(1): 18.
| Crossref | Google Scholar |

12  White-Davis T, Edgoose J, Brown Speights JS, et al. Addressing racism in medical education: an interactive training module. Fam Med 2018; 50(5): 364-8.
| Crossref | Google Scholar |

13  Curtis E, Jones R, Tipene-Leach D, et al. Why cultural safety rather than cultural competency is required to achieve health equity: a literature review and recommended definition. Int J Equity Health 2019; 18(1): 174.
| Crossref | Google Scholar |

14  Dawson J, Laccos-Barrett K, Hammond C, et al. Reflexive practice as an approach to improve healthcare delivery for indigenous peoples: a systematic critical synthesis and exploration of the cultural safety education literature. Int J Environ Res Public Health 2022; 19(11): 6691.
| Crossref | Google Scholar |

15  Medical Council of New Zealand. Statement on cultural safety. Wellington: Medical Council of New Zealand; 2019.

16  Elliott TC. How do we move the needle? Building a framework for diversity, equity, and inclusion within graduate medical education. Fam Med 2021; 53(7): 556-8.
| Crossref | Google Scholar |

17  Turbes S, Krebs E, Axtell S. The hidden curriculum in multicultural medical education: the role of case examples. Acad Med 2002; 77(3): 209-16.
| Crossref | Google Scholar |

18  Williamson M, Walker T, Egan T, et al. The safe and effective clinical outcomes (SECO) clinic: learning responsibility for patient care through simulation. Teach Learn Med 2013; 25(2): 155-8.
| Crossref | Google Scholar |

19  Harden RM. What is an OSCE? Med Teach 1988; 10(1): 19-22.
| Crossref | Google Scholar |

20  Kremer LJ, Nguyen ALA, Waaka TA, et al. To what extent does a pharmacy curriculum foster diversity and inclusion through paper-based case scenarios? Pharm Educ 2021; 21(1): 612-20.
| Crossref | Google Scholar |

21  Stats NZ. Census. 2022. Available at https://www.stats.govt.nz/topics/census#2018-census [cited 13 December 2022].

22  Stats NZ. Ariā. 2022. Available at https://www.stats.govt.nz/tools/aria [cited 12 December 2023].

23  Osborn DPJ, Marston L, Nazareth I, et al. Relative risks of cardiovascular disease in people prescribed olanzapine, risperidone and quetiapine. Schizophr Res 2017; 183: 116-23.
| Crossref | Google Scholar |

24  Kurtz DLM, Janke R, Vinek J, et al. Health sciences cultural safety education in Australia, Canada, New Zealand, and the United States: a literature review. Int J Med Educ 2018; 9: 271-85.
| Crossref | Google Scholar |

25  Amutah C, Greenidge K, Mante A, et al. Misrepresenting race — the role of medical schools in propagating physician bias. N Engl J Med 2021; 384(9): 872-8.
| Crossref | Google Scholar |

26  Crampton P, Weaver N, Howard A. Holding a mirror to society? Progression towards achieving better sociodemographic representation among the University of Otago’s health professional students. N Z Med J 2018; 131(1476): 59-69.
| Google Scholar |

27  Ministry of Health. Sexually transmitted infections: findings from the 2014-2015 New Zealand health survey. Wellington: Ministry of Health; 2019.

28  Möller-Leimkühler AM. Gender differences in cardiovascular disease and comorbid depression. Dialogues Clin Neurosci 2007; 9(1): 71-83.
| Crossref | Google Scholar |

29  Korpaisarn S, Safer JD. Gaps in transgender medical education among healthcare providers: a major barrier to care for transgender persons. Rev Endocr Metab Disord 2018; 19(3): 271-5.
| Crossref | Google Scholar |

30  Stanley J, Semper K, Millar E, et al. Epidemiology of multimorbidity in New Zealand: a cross-sectional study using national-level hospital and pharmaceutical data. BMJ Open 2018; 8(5): e021689.
| Crossref | Google Scholar |

31  Maguire S, Hanley K, Quinn K, et al. Teaching multimorbidity management to GP trainees: a pilot workshop. Educ Prim Care 2015; 26(6): 410-5.
| Crossref | Google Scholar |

32  Fiscella K, Fremont AM. Use of geocoding and surname analysis to estimate race and ethnicity. Health Serv Res 2006; 0(4p1): 1482-500.
| Crossref | Google Scholar |

33  Whitla DK, Orfield G, Silen W, et al. Educational benefits of diversity in medical school: a survey of students. Acad Med 2003; 78(5): 460-6.
| Crossref | Google Scholar |

34  Naidu T, Abimbola S. How medical education holds back health equity. Lancet 2022; 400(10352): 556-7.
| Crossref | Google Scholar |

35  Arruzza E, Chau M. The effectiveness of cultural competence education in enhancing knowledge acquisition, performance, attitudes, and student satisfaction among undergraduate health science students: a scoping review. J Educ Eval Health Prof 2021; 18: 3.
| Crossref | Google Scholar |

36  Landry AM. Integrating health equity content into health professions education. AMA J Ethics 2021; 23(3): E229-34.
| Crossref | Google Scholar |

37  Durie M. Cultural competence and medical practice in New Zealand. Australian and New Zealand Boards and Council Conference. Vol. 22. Wellington; 2001.