Aims: Ethnicity is an important variable, and in Aotearoa New Zealand it is used to monitor population health needs, health services outcomes and to allocate resources. However, there is a history of undercounting Māori. The aim of this study was to compare national and primary care ethnicity data to self-reported ethnicity from a Kaupapa Māori research cohort in the Waikato region.
Methods: Through individual record linkage, prospective self-reported ethnicity, collected using New Zealand Census and Ministry of Health - Manatū Hauora ethnicity protocol as a "gold standard", was compared to ethnicity in secondary and primary healthcare datasets. Logistic regression analyses were used to determine if demographic variables such as age, ethnicity and deprivation are associated with inaccuracies in ethnicity recording.
Results: Māori were undercounted in secondary NHI (32.5%) and primary care (31.3%) datasets compared to self-reported (34.6%). Between 9.5-11% of individuals had a different ethnicity recorded in health datasets than self-reported. Multiple ethnicities were less often recorded (secondary NHI [5.3%] and primary care [5.8%]) compared to self-reported (8.7%). Māori ethnicity (p=0.039) and multiple ethnicity (p<0.001) were associated with lower ethnicity data accuracy.
Conclusion: Routine health datasets fail to adequately collect ethnicity, particularly for those with multiple ethnicities. Inaccuracies disproportionately affect Māori and urgent efforts are needed to improve compliance with ethnicity data standards at all levels of the health system.
{"title":"Accuracy of ethnicity records at primary and secondary healthcare services in Waikato region, Aotearoa New Zealand.","authors":"Brooke Blackmore, Marianne Elston, Belinda Loring, Papaarangi Reid, Jade Tamatea","doi":"10.26635/6965.6445","DOIUrl":"10.26635/6965.6445","url":null,"abstract":"<p><strong>Aims: </strong>Ethnicity is an important variable, and in Aotearoa New Zealand it is used to monitor population health needs, health services outcomes and to allocate resources. However, there is a history of undercounting Māori. The aim of this study was to compare national and primary care ethnicity data to self-reported ethnicity from a Kaupapa Māori research cohort in the Waikato region.</p><p><strong>Methods: </strong>Through individual record linkage, prospective self-reported ethnicity, collected using New Zealand Census and Ministry of Health - Manatū Hauora ethnicity protocol as a \"gold standard\", was compared to ethnicity in secondary and primary healthcare datasets. Logistic regression analyses were used to determine if demographic variables such as age, ethnicity and deprivation are associated with inaccuracies in ethnicity recording.</p><p><strong>Results: </strong>Māori were undercounted in secondary NHI (32.5%) and primary care (31.3%) datasets compared to self-reported (34.6%). Between 9.5-11% of individuals had a different ethnicity recorded in health datasets than self-reported. Multiple ethnicities were less often recorded (secondary NHI [5.3%] and primary care [5.8%]) compared to self-reported (8.7%). Māori ethnicity (p=0.039) and multiple ethnicity (p<0.001) were associated with lower ethnicity data accuracy.</p><p><strong>Conclusion: </strong>Routine health datasets fail to adequately collect ethnicity, particularly for those with multiple ethnicities. Inaccuracies disproportionately affect Māori and urgent efforts are needed to improve compliance with ethnicity data standards at all levels of the health system.</p>","PeriodicalId":48086,"journal":{"name":"NEW ZEALAND MEDICAL JOURNAL","volume":"137 1602","pages":"111-124"},"PeriodicalIF":1.2,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142141448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
James Falvey, Catherine M Stedman, Joel Dunn, Chris Sies, Susan Levin
Aim: Quantitative faecal haemoglobin (fHb) measurement by faecal immunochemical test (FIT) is a powerful biomarker for colorectal cancer (CRC) and is incorporated in referral, prioritisation and triage protocols for symptomatic cases in other countries. We report our use of FIT to prioritise new patient symptomatic cases referred for colorectal investigation.
Method: Cases referred for investigation of new colorectal symptoms who were aged ≥50 years (≥40 years Māori/Pacific peoples), who would otherwise be triaged to non-urgent colonoscopy, were asked to provide a stool sample for FIT. Following FIT testing, cases were re-triaged to either urgent colonoscopy, non-urgent colonoscopy or computed tomography colonography (CTC) depending on fHb concentration (measured in micrograms haemoglobin per gram of stool [mcg/g]) and incorporating clinical judgement. At pathway initiation, cases already waiting for colonoscopy on the non-urgent new patient waiting list were approached first, and then new patient (NP) referrals for colonoscopy could be triaged to the pathway at the discretion of the triaging consultant.
Results: Out of 739 cases, 715 (97%) returned FIT samples, and 691 cases completed colorectal investigations. Overall FIT positivity ≥10mcg/g was 17.1%. Fifteen colorectal cancers (CRC) were detected (2.2%). The sensitivity and specificity of FIT ≥10mcg/g for CRC were 80.0% (54.0-93.7%) and 84.3 (81.4-86.9%) respectively. A total of 432 cases (62.5%) completed the pathway without recourse to colonoscopy, and the median time to CRC diagnosis for NP from referral was 25 days.
Conclusion: FIT based prioritisation of cases referred with symptoms concerning for CRC is feasible and reduces time to CRC diagnosis.
{"title":"Faecal immunochemical test (FIT) based prioritisation of new patient symptomatic cases referred for colorectal investigation.","authors":"James Falvey, Catherine M Stedman, Joel Dunn, Chris Sies, Susan Levin","doi":"10.26635/6965.6582","DOIUrl":"https://doi.org/10.26635/6965.6582","url":null,"abstract":"<p><strong>Aim: </strong>Quantitative faecal haemoglobin (fHb) measurement by faecal immunochemical test (FIT) is a powerful biomarker for colorectal cancer (CRC) and is incorporated in referral, prioritisation and triage protocols for symptomatic cases in other countries. We report our use of FIT to prioritise new patient symptomatic cases referred for colorectal investigation.</p><p><strong>Method: </strong>Cases referred for investigation of new colorectal symptoms who were aged ≥50 years (≥40 years Māori/Pacific peoples), who would otherwise be triaged to non-urgent colonoscopy, were asked to provide a stool sample for FIT. Following FIT testing, cases were re-triaged to either urgent colonoscopy, non-urgent colonoscopy or computed tomography colonography (CTC) depending on fHb concentration (measured in micrograms haemoglobin per gram of stool [mcg/g]) and incorporating clinical judgement. At pathway initiation, cases already waiting for colonoscopy on the non-urgent new patient waiting list were approached first, and then new patient (NP) referrals for colonoscopy could be triaged to the pathway at the discretion of the triaging consultant.</p><p><strong>Results: </strong>Out of 739 cases, 715 (97%) returned FIT samples, and 691 cases completed colorectal investigations. Overall FIT positivity ≥10mcg/g was 17.1%. Fifteen colorectal cancers (CRC) were detected (2.2%). The sensitivity and specificity of FIT ≥10mcg/g for CRC were 80.0% (54.0-93.7%) and 84.3 (81.4-86.9%) respectively. A total of 432 cases (62.5%) completed the pathway without recourse to colonoscopy, and the median time to CRC diagnosis for NP from referral was 25 days.</p><p><strong>Conclusion: </strong>FIT based prioritisation of cases referred with symptoms concerning for CRC is feasible and reduces time to CRC diagnosis.</p>","PeriodicalId":48086,"journal":{"name":"NEW ZEALAND MEDICAL JOURNAL","volume":"137 1602","pages":"102-110"},"PeriodicalIF":1.2,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142141454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aim: Endometrial cancer (EC) is increasing in incidence in women across Aotearoa New Zealand as risk factors such as obesity and diabetes become more prevalent. In 2022, a Rapid Access Clinic (RAC) for hysteroscopy was implemented at Te Whatu Ora Counties Manukau District to increase early detection of EC.
Method: Plan-Do-Study-Act (PDSA) cycles were used to test and implement RAC supported by a nurse pre-procedural phone consultation. Quantitative data was collected alongside patient experiences of the pre-procedural telephone call.
Results: A total of 207 women successfully completed RAC, which enabled one less visit to clinic per patient, subsequent travel cost savings (NZ$35,959) and a decrease in CO2 emissions (1,782kg). Lead time from first specialist appointment (FSA) to outpatient (OP) hysteroscopy, previously 25 days (SD: 21 days), was eliminated. Wait time from referral to provisional diagnosis increased from 26 days to 31 days; however, standard variation reduced from 30 days to 15 days. Clinician productivity increased by 25% per hysteroscopy session. Twenty-six out of 30 patients reported positive experiences of their pre-procedural RAC phone consultation. Twenty-seven out of 207 women were diagnosed with endometrial cancer from RAC.
Conclusion: RAC are patient-centric and have demonstrated valuable benefits for both clinicians and women with a high suspicion of EC.
{"title":"A quality improvement project: Rapid Access Hysteroscopy Clinics with nurse pre-procedural telephone support in the outpatient setting.","authors":"Lucy Wong, Catherine Askew, Katherine Sowden, Kieran Dempster-Rivett, Valerio Malez","doi":"10.26635/6965.6423","DOIUrl":"https://doi.org/10.26635/6965.6423","url":null,"abstract":"<p><strong>Aim: </strong>Endometrial cancer (EC) is increasing in incidence in women across Aotearoa New Zealand as risk factors such as obesity and diabetes become more prevalent. In 2022, a Rapid Access Clinic (RAC) for hysteroscopy was implemented at Te Whatu Ora Counties Manukau District to increase early detection of EC.</p><p><strong>Method: </strong>Plan-Do-Study-Act (PDSA) cycles were used to test and implement RAC supported by a nurse pre-procedural phone consultation. Quantitative data was collected alongside patient experiences of the pre-procedural telephone call.</p><p><strong>Results: </strong>A total of 207 women successfully completed RAC, which enabled one less visit to clinic per patient, subsequent travel cost savings (NZ$35,959) and a decrease in CO2 emissions (1,782kg). Lead time from first specialist appointment (FSA) to outpatient (OP) hysteroscopy, previously 25 days (SD: 21 days), was eliminated. Wait time from referral to provisional diagnosis increased from 26 days to 31 days; however, standard variation reduced from 30 days to 15 days. Clinician productivity increased by 25% per hysteroscopy session. Twenty-six out of 30 patients reported positive experiences of their pre-procedural RAC phone consultation. Twenty-seven out of 207 women were diagnosed with endometrial cancer from RAC.</p><p><strong>Conclusion: </strong>RAC are patient-centric and have demonstrated valuable benefits for both clinicians and women with a high suspicion of EC.</p>","PeriodicalId":48086,"journal":{"name":"NEW ZEALAND MEDICAL JOURNAL","volume":"137 1602","pages":"15-26"},"PeriodicalIF":1.2,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142141447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Commissioners or board-which is best for the role of Health New Zealand - Te Whatu Ora?","authors":"Frank Frizelle","doi":"10.26635/6965.e11602","DOIUrl":"https://doi.org/10.26635/6965.e11602","url":null,"abstract":"","PeriodicalId":48086,"journal":{"name":"NEW ZEALAND MEDICAL JOURNAL","volume":"137 1602","pages":"9-12"},"PeriodicalIF":1.2,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142141450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Response to: Letter to the editor commenting on the editorial: \"The cost of everything and the value of nothing: New Zealand's under-investment in health\".","authors":"Virginia Mills, Lyndon Keene","doi":"10.26635/6965.6725","DOIUrl":"https://doi.org/10.26635/6965.6725","url":null,"abstract":"","PeriodicalId":48086,"journal":{"name":"NEW ZEALAND MEDICAL JOURNAL","volume":"137 1602","pages":"148-149"},"PeriodicalIF":1.2,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142141458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Phil Bagshaw, Sue Bagshaw, John D Potter, Andrew Hornblow, M Gary Nicholls, Carl Shaw
{"title":"The cost of everything and the value of nothing: the first corrective steps are to stop ignoring and start measuring the unmet secondary elective healthcare need.","authors":"Phil Bagshaw, Sue Bagshaw, John D Potter, Andrew Hornblow, M Gary Nicholls, Carl Shaw","doi":"10.26635/6965.6727","DOIUrl":"https://doi.org/10.26635/6965.6727","url":null,"abstract":"","PeriodicalId":48086,"journal":{"name":"NEW ZEALAND MEDICAL JOURNAL","volume":"137 1602","pages":"143-144"},"PeriodicalIF":1.2,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142141459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Caution ahead: the risks with regulating physician associates in Aotearoa.","authors":"Natalia D'Souza, Deborah Powell, Sarah Dalton","doi":"10.26635/6965.6712","DOIUrl":"https://doi.org/10.26635/6965.6712","url":null,"abstract":"","PeriodicalId":48086,"journal":{"name":"NEW ZEALAND MEDICAL JOURNAL","volume":"137 1602","pages":"140-142"},"PeriodicalIF":1.2,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142141449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Compartment syndrome resulting from carbon monoxide poisoning: a case report.","authors":"Darlene Edwards, Arthur Cavan, Ankur Gupta","doi":"10.26635/6965.6305","DOIUrl":"https://doi.org/10.26635/6965.6305","url":null,"abstract":"","PeriodicalId":48086,"journal":{"name":"NEW ZEALAND MEDICAL JOURNAL","volume":"137 1602","pages":"133-136"},"PeriodicalIF":1.2,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142141451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
James F Mbinta, Andrew A Sporle, Jan Sheppard, Aliitasi Su'a-Tavila, Binh P Nguyen, Nigel French, Colin R Simpson
Aims: This study aimed to evaluate the effectiveness of COVID-19 vaccines in preventing COVID-19 outcomes when the Omicron variant was predominant in Aotearoa New Zealand.
Methods: We conducted a retrospective cohort study using routinely available data (8 December 2020-28 February 2023). We evaluated the vaccine effectiveness (VE) of COVID-19 vaccines using the Cox proportional-hazards model, adjusting for covariates.
Results: The VE against COVID-19 hospitalisation (VEH) for the second booster dose compared to no vaccination was found to be 81.8% (95% confidence interval [95% CI]: 73.6-87.5) after 1 month post-vaccination. After 4 months, VEH was 72.2% (95% CI: 58.5-81.4), and after 6 months VEH was 49.0% (95% CI: 7.9-71.8). Similarly, VEH decreased after the first booster dose (1-month VEH=81.6% [95% CI: 75.6-86.1]; 2 months VEH=74.7% [95% CI: 68.2-79.9]; and 6 months VEH=57.4% [95% CI: 45.8-66.6]). VE against COVID-19 death (VED) was 92.9% (95% CI: 82.1-97.2) 2 months after the first booster vaccination, with VED being sustained until months 5 and 6 (VED=87.2%; 95% CI: 67.4-94.9). The VE after the second dose of the vaccine against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (VEI) (real-time polymerase chain reaction [RT-PCR]) was sustained at 5 months post-vaccination (40.6%; 95% CI: 25.6-52.5).
Conclusion: We provide a comprehensive quantification of both VE and VE waning. These findings can guide policymakers to help evaluate the COVID-19 vaccination programme and minimise the effect of future COVID-19 in Aotearoa New Zealand.
{"title":"Effectiveness of COVID-19 vaccines against hospitalisation, death and infection over time in Aotearoa New Zealand: a retrospective cohort study.","authors":"James F Mbinta, Andrew A Sporle, Jan Sheppard, Aliitasi Su'a-Tavila, Binh P Nguyen, Nigel French, Colin R Simpson","doi":"10.26635/6965.6573","DOIUrl":"https://doi.org/10.26635/6965.6573","url":null,"abstract":"<p><strong>Aims: </strong>This study aimed to evaluate the effectiveness of COVID-19 vaccines in preventing COVID-19 outcomes when the Omicron variant was predominant in Aotearoa New Zealand.</p><p><strong>Methods: </strong>We conducted a retrospective cohort study using routinely available data (8 December 2020-28 February 2023). We evaluated the vaccine effectiveness (VE) of COVID-19 vaccines using the Cox proportional-hazards model, adjusting for covariates.</p><p><strong>Results: </strong>The VE against COVID-19 hospitalisation (VEH) for the second booster dose compared to no vaccination was found to be 81.8% (95% confidence interval [95% CI]: 73.6-87.5) after 1 month post-vaccination. After 4 months, VEH was 72.2% (95% CI: 58.5-81.4), and after 6 months VEH was 49.0% (95% CI: 7.9-71.8). Similarly, VEH decreased after the first booster dose (1-month VEH=81.6% [95% CI: 75.6-86.1]; 2 months VEH=74.7% [95% CI: 68.2-79.9]; and 6 months VEH=57.4% [95% CI: 45.8-66.6]). VE against COVID-19 death (VED) was 92.9% (95% CI: 82.1-97.2) 2 months after the first booster vaccination, with VED being sustained until months 5 and 6 (VED=87.2%; 95% CI: 67.4-94.9). The VE after the second dose of the vaccine against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (VEI) (real-time polymerase chain reaction [RT-PCR]) was sustained at 5 months post-vaccination (40.6%; 95% CI: 25.6-52.5).</p><p><strong>Conclusion: </strong>We provide a comprehensive quantification of both VE and VE waning. These findings can guide policymakers to help evaluate the COVID-19 vaccination programme and minimise the effect of future COVID-19 in Aotearoa New Zealand.</p>","PeriodicalId":48086,"journal":{"name":"NEW ZEALAND MEDICAL JOURNAL","volume":"137 1602","pages":"65-101"},"PeriodicalIF":1.2,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142141453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Moira Wilson, Fiona Cram, Sheree Gibb, Sarah Gray, Keith McLeod, Debbie Peterson, Helen Lockett
Aim: To examine the impact of integrated employment support and mental health treatment (Individual Placement and Support, or "IPS") on Aotearoa New Zealand participants' employment, income, health, education and justice outcomes.
Method: De-identified linked data from the Stats NZ Integrated Data Infrastructure and propensity score matching were used to estimate effects.
Results: In total, 1,659 IPS participants were matched to 1,503 non-participants. Compared with matched non-participants, matched participants were 1.6 times more likely to be in employment at 12 months. Over 3 years, matched IPS participants had more earnings, more time in employment, greater total income and were more likely to gain qualifications. They also had more face-to-face contacts with mental health teams, mental health-related inpatient stays and mental health service crisis contacts than matched non-participants. Effects for Māori were similar in direction and scale to the overall results.
Conclusion: Our results show that people with mental health conditions or problematic substance use who receive employment support made available together with mental health and addiction treatment have more employment, gains in qualifications and more independent income when compared to similar people who do not receive this support. More research is needed to understand differences in engagement with mental health services and effects on participants' health and wellbeing.
{"title":"The impact of Individual Placement and Support on employment, health and social outcomes: quasi-experimental evidence from Aotearoa New Zealand.","authors":"Moira Wilson, Fiona Cram, Sheree Gibb, Sarah Gray, Keith McLeod, Debbie Peterson, Helen Lockett","doi":"10.26635/6965.6462","DOIUrl":"10.26635/6965.6462","url":null,"abstract":"<p><strong>Aim: </strong>To examine the impact of integrated employment support and mental health treatment (Individual Placement and Support, or \"IPS\") on Aotearoa New Zealand participants' employment, income, health, education and justice outcomes.</p><p><strong>Method: </strong>De-identified linked data from the Stats NZ Integrated Data Infrastructure and propensity score matching were used to estimate effects.</p><p><strong>Results: </strong>In total, 1,659 IPS participants were matched to 1,503 non-participants. Compared with matched non-participants, matched participants were 1.6 times more likely to be in employment at 12 months. Over 3 years, matched IPS participants had more earnings, more time in employment, greater total income and were more likely to gain qualifications. They also had more face-to-face contacts with mental health teams, mental health-related inpatient stays and mental health service crisis contacts than matched non-participants. Effects for Māori were similar in direction and scale to the overall results.</p><p><strong>Conclusion: </strong>Our results show that people with mental health conditions or problematic substance use who receive employment support made available together with mental health and addiction treatment have more employment, gains in qualifications and more independent income when compared to similar people who do not receive this support. More research is needed to understand differences in engagement with mental health services and effects on participants' health and wellbeing.</p>","PeriodicalId":48086,"journal":{"name":"NEW ZEALAND MEDICAL JOURNAL","volume":"137 1602","pages":"27-54"},"PeriodicalIF":1.2,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142141460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}