The evaluation of a successful collaborative education model to expand student clinical placements
- Barnett, Anthony, Cross, Dorothy, Shahwan-Akl, Lina, Jacob, Elisabeth
- Authors: Barnett, Anthony , Cross, Dorothy , Shahwan-Akl, Lina , Jacob, Elisabeth
- Date: 2010
- Type: Text , Journal article
- Relation: Nurse Education in Practice Vol. 10, no. 1 (2010), p. 17-21
- Full Text: false
- Reviewed:
- Description: Worldwide, universities have been encouraged to increase the number of students enrolled in nursing courses as a way to bolster the domestic supply of graduates and address workforce shortages. This places pressure on clinical agencies to accommodate greater numbers of students for clinical experience who, in Australia, may often come from different educational institutions. The aim of this study was to develop and evaluate a collaborative model of clinical education that would increase the capacity of a health care agency to accommodate student placements and improve workplace readiness. The project was undertaken in a medium sized regional hospital in rural Australia where most nurses worked part time. Through an iterative process, a new supported preceptorship model was developed by academics from three institutions and staff from the hospital. Focus group discussions and interviews were conducted with key stakeholders and clinical placement data analysed for the years 2004 (baseline) to 2007. The model was associated with a 58% increase in the number of students and a 45% increase in the number of student placement weeks over the four year period. Students reported positively on their experience and key stakeholders believed that the new model would better prepare students for the realities of nursing work.
Scope of practice for Australian enrolled nurses: evolution and practice issues
- Jacob, Elisabeth, Barnett, Anthony, Sellick, Kenneth, McKenna, Lisa
- Authors: Jacob, Elisabeth , Barnett, Anthony , Sellick, Kenneth , McKenna, Lisa
- Date: 2013
- Type: Text , Journal article
- Relation: Contemporary Nurse Vol. 45, no. 2 (2013), p. 155-163
- Full Text: false
- Reviewed:
- Description: Significant changes to the scope of practice for enrolled nurses have occurred in Australia over the past decade. These changes, which are largely a consequence of staff shortages and economic pressure, have resulted in increased role confusion and overlap between enrolled and registered nurses in Australia. This paper presents a brief history of the enrolled nurse in Australia followed by an overview of the current situation and emerging trends in the education and employment of these nurses. Definitions and approaches to scope of practice are described and emerging issues within Australia raised and discussed. A review of the literature found the number of enrolled nurses and the roles they perform have changed significantly in Australia following the introduction of the enhanced scope of practice. Further research is required to better define and delineate between the different nursing roles and to explore broader frameworks to analyze, describe and define these roles. Read More: http://pubs.e-contentmanagement.com/doi/abs/10.5172/conu.2013.45.2.155
Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM2·5 air pollution, 1990–2019 : an analysis of data from the Global Burden of Disease Study 2019
- Burkart, Katrin, Causey, Kate, Cohen, Aaron, Wozniak, Sarah, Salvi, Devashri, Abbafati, Cristiana, Adekanmbi, Victor, Adsuar, Jose, Ahmadi, Keivan, Alahdab, Fares, Al-Aly, Ziyad, Alipour, Vahid, Alvis-Guzman, Nelson, Amegah, Adeladza, Andrei, Catalina, Andrei, Tudorel, Ansari, Fereshteh, Arabloo, Jalal, Aremu, Olatunde, Aripov, Timur, Babaee, Ebrahim, Banach, Maclej, Barnett, Anthony, Bärnighausen, Till, Bedi, Neeraj, Behzadifar, Masoud, Béjot, Yannick, Bennett, Derrick, Rahman, Muhammad Aziz
- Authors: Burkart, Katrin , Causey, Kate , Cohen, Aaron , Wozniak, Sarah , Salvi, Devashri , Abbafati, Cristiana , Adekanmbi, Victor , Adsuar, Jose , Ahmadi, Keivan , Alahdab, Fares , Al-Aly, Ziyad , Alipour, Vahid , Alvis-Guzman, Nelson , Amegah, Adeladza , Andrei, Catalina , Andrei, Tudorel , Ansari, Fereshteh , Arabloo, Jalal , Aremu, Olatunde , Aripov, Timur , Babaee, Ebrahim , Banach, Maclej , Barnett, Anthony , Bärnighausen, Till , Bedi, Neeraj , Behzadifar, Masoud , Béjot, Yannick , Bennett, Derrick , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article
- Relation: The Lancet Planetary Health Vol. 6, no. 7 (2022), p. e586-e600
- Full Text:
- Reviewed:
- Description: Background: Experimental and epidemiological studies indicate an association between exposure to particulate matter (PM) air pollution and increased risk of type 2 diabetes. In view of the high and increasing prevalence of diabetes, we aimed to quantify the burden of type 2 diabetes attributable to PM2·5 originating from ambient and household air pollution. Methods: We systematically compiled all relevant cohort and case-control studies assessing the effect of exposure to household and ambient fine particulate matter (PM2·5) air pollution on type 2 diabetes incidence and mortality. We derived an exposure–response curve from the extracted relative risk estimates using the MR-BRT (meta-regression—Bayesian, regularised, trimmed) tool. The estimated curve was linked to ambient and household PM2·5 exposures from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, and estimates of the attributable burden (population attributable fractions and rates per 100 000 population of deaths and disability-adjusted life-years) for 204 countries from 1990 to 2019 were calculated. We also assessed the role of changes in exposure, population size, age, and type 2 diabetes incidence in the observed trend in PM2·5-attributable type 2 diabetes burden. All estimates are presented with 95% uncertainty intervals. Findings: In 2019, approximately a fifth of the global burden of type 2 diabetes was attributable to PM2·5 exposure, with an estimated 3·78 (95% uncertainty interval 2·68–4·83) deaths per 100 000 population and 167 (117–223) disability-adjusted life-years (DALYs) per 100 000 population. Approximately 13·4% (9·49–17·5) of deaths and 13·6% (9·73–17·9) of DALYs due to type 2 diabetes were contributed by ambient PM2·5, and 6·50% (4·22–9·53) of deaths and 5·92% (3·81–8·64) of DALYs by household air pollution. High burdens, in terms of numbers as well as rates, were estimated in Asia, sub-Saharan Africa, and South America. Since 1990, the attributable burden has increased by 50%, driven largely by population growth and ageing. Globally, the impact of reductions in household air pollution was largely offset by increased ambient PM2·5. Interpretation: Air pollution is a major risk factor for diabetes. We estimated that about a fifth of the global burden of type 2 diabetes is attributable PM2·5 pollution. Air pollution mitigation therefore might have an essential role in reducing the global disease burden resulting from type 2 diabetes. Funding: Bill & Melinda Gates Foundation. © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
- Authors: Burkart, Katrin , Causey, Kate , Cohen, Aaron , Wozniak, Sarah , Salvi, Devashri , Abbafati, Cristiana , Adekanmbi, Victor , Adsuar, Jose , Ahmadi, Keivan , Alahdab, Fares , Al-Aly, Ziyad , Alipour, Vahid , Alvis-Guzman, Nelson , Amegah, Adeladza , Andrei, Catalina , Andrei, Tudorel , Ansari, Fereshteh , Arabloo, Jalal , Aremu, Olatunde , Aripov, Timur , Babaee, Ebrahim , Banach, Maclej , Barnett, Anthony , Bärnighausen, Till , Bedi, Neeraj , Behzadifar, Masoud , Béjot, Yannick , Bennett, Derrick , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article
- Relation: The Lancet Planetary Health Vol. 6, no. 7 (2022), p. e586-e600
- Full Text:
- Reviewed:
- Description: Background: Experimental and epidemiological studies indicate an association between exposure to particulate matter (PM) air pollution and increased risk of type 2 diabetes. In view of the high and increasing prevalence of diabetes, we aimed to quantify the burden of type 2 diabetes attributable to PM2·5 originating from ambient and household air pollution. Methods: We systematically compiled all relevant cohort and case-control studies assessing the effect of exposure to household and ambient fine particulate matter (PM2·5) air pollution on type 2 diabetes incidence and mortality. We derived an exposure–response curve from the extracted relative risk estimates using the MR-BRT (meta-regression—Bayesian, regularised, trimmed) tool. The estimated curve was linked to ambient and household PM2·5 exposures from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, and estimates of the attributable burden (population attributable fractions and rates per 100 000 population of deaths and disability-adjusted life-years) for 204 countries from 1990 to 2019 were calculated. We also assessed the role of changes in exposure, population size, age, and type 2 diabetes incidence in the observed trend in PM2·5-attributable type 2 diabetes burden. All estimates are presented with 95% uncertainty intervals. Findings: In 2019, approximately a fifth of the global burden of type 2 diabetes was attributable to PM2·5 exposure, with an estimated 3·78 (95% uncertainty interval 2·68–4·83) deaths per 100 000 population and 167 (117–223) disability-adjusted life-years (DALYs) per 100 000 population. Approximately 13·4% (9·49–17·5) of deaths and 13·6% (9·73–17·9) of DALYs due to type 2 diabetes were contributed by ambient PM2·5, and 6·50% (4·22–9·53) of deaths and 5·92% (3·81–8·64) of DALYs by household air pollution. High burdens, in terms of numbers as well as rates, were estimated in Asia, sub-Saharan Africa, and South America. Since 1990, the attributable burden has increased by 50%, driven largely by population growth and ageing. Globally, the impact of reductions in household air pollution was largely offset by increased ambient PM2·5. Interpretation: Air pollution is a major risk factor for diabetes. We estimated that about a fifth of the global burden of type 2 diabetes is attributable PM2·5 pollution. Air pollution mitigation therefore might have an essential role in reducing the global disease burden resulting from type 2 diabetes. Funding: Bill & Melinda Gates Foundation. © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
- Causey, Kate, Salvi, Devashri, Abbafati, Cristiana, Adekanmbi, Victor, Adsuar, Jose, Ahmadi, Keivan, Alahdab, Fares, Andrei, Catalina, Arabloo, Jalal, Aripov, Timur, Babaee, Ebrahim, Barnett, Anthony, Bedi, Neeraj, Béjot, Yannick, Bernstein, Robert, Bijani, Ali, Brenner, Hermann, Butt, Zahid, Cantu-Brito, Carlos, Chauhan, Bal Govind, Choi, Jee-Young Jasmine, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, Daryani, Ahmad, Davletov, Kairat, Dharmaratne, Samath, Diaz, Daniel, Duncan, Bruce, Fattahi, Nazir, Fazlzadeh, Mehdi, Fernandes, Eduarda, Filip, Irina, Foigt, Nataliya, Freitas, Marisa, Gill, Paramjit Singh, Habtewold, Tesfa, Hamadeh, Randah, Hasanpoor, Edris, Heibati, Behzad, Househ, Mowafa, Jaafari, Jalil, Jakovljevic, Mihajlo, Jha, Ravi Prakash, Jonas, Jost, Khafaie, Morteza, Khatab, Khaled, Kivimäki, Mika, Koyanagi, Ai, Lee, Paul, Lewycka, Sonia, Li, Shanshan, Lim, Lee-Ling, Mahotra, Narayan, Majeed, Azeem, Maleki, Afshin, Mamun, Abdullah, Martini, Santi, Meharie, Birhanu, Menezes, Ritesh, Mestrovic, Tomislav, Miazgowski, Tomasz, Mini, G. K., Mirica, Andreea, Mohan, Viswanathan, Moraga, Paula, Morrison, Shane, Mueller, Ulrich, Mukhopadhyay, Satinath, Mustafa, Ghulam, Nangia, Vinay, Ningrum, Dina, Owolabi, Mayowa, P A, Mahesh, Pourjafar, Hadi, Rafiei, Alireza, Rai, Rajesh, Raoofi, Samira, Renzaho, Andre, Ronfani, Luca, Sabour, Siamak, Sadeghi, Ehsan, Sarmiento-Suárez, Rodrigo, Schutte, Aletta, Sharafi, Kiomars, Sheikh, Aziz, Shirkoohi, Reza, Shuval, Kerem, Soyiri, Ireneous, Topor-Madry, Roman, Ullah, Irfan, Vacante, Marco, Violante, Francesco, Waheed, Yasir, Wolfe, Charles, Yamada, Tomohide, Yonemoto, Naohiro, Yu, Chuanhua, Zaman, Sojib, Brauer, Michael
- Authors: Causey, Kate , Salvi, Devashri , Abbafati, Cristiana , Adekanmbi, Victor , Adsuar, Jose , Ahmadi, Keivan , Alahdab, Fares , Andrei, Catalina , Arabloo, Jalal , Aripov, Timur , Babaee, Ebrahim , Barnett, Anthony , Bedi, Neeraj , Béjot, Yannick , Bernstein, Robert , Bijani, Ali , Brenner, Hermann , Butt, Zahid , Cantu-Brito, Carlos , Chauhan, Bal Govind , Choi, Jee-Young Jasmine , Dai, Xiaochen , Dandona, Lalit , Dandona, Rakhi , Daryani, Ahmad , Davletov, Kairat , Dharmaratne, Samath , Diaz, Daniel , Duncan, Bruce , Fattahi, Nazir , Fazlzadeh, Mehdi , Fernandes, Eduarda , Filip, Irina , Foigt, Nataliya , Freitas, Marisa , Gill, Paramjit Singh , Habtewold, Tesfa , Hamadeh, Randah , Hasanpoor, Edris , Heibati, Behzad , Househ, Mowafa , Jaafari, Jalil , Jakovljevic, Mihajlo , Jha, Ravi Prakash , Jonas, Jost , Khafaie, Morteza , Khatab, Khaled , Kivimäki, Mika , Koyanagi, Ai , Lee, Paul , Lewycka, Sonia , Li, Shanshan , Lim, Lee-Ling , Mahotra, Narayan , Majeed, Azeem , Maleki, Afshin , Mamun, Abdullah , Martini, Santi , Meharie, Birhanu , Menezes, Ritesh , Mestrovic, Tomislav , Miazgowski, Tomasz , Mini, G. K. , Mirica, Andreea , Mohan, Viswanathan , Moraga, Paula , Morrison, Shane , Mueller, Ulrich , Mukhopadhyay, Satinath , Mustafa, Ghulam , Nangia, Vinay , Ningrum, Dina , Owolabi, Mayowa , P A, Mahesh , Pourjafar, Hadi , Rafiei, Alireza , Rai, Rajesh , Raoofi, Samira , Renzaho, Andre , Ronfani, Luca , Sabour, Siamak , Sadeghi, Ehsan , Sarmiento-Suárez, Rodrigo , Schutte, Aletta , Sharafi, Kiomars , Sheikh, Aziz , Shirkoohi, Reza , Shuval, Kerem , Soyiri, Ireneous , Topor-Madry, Roman , Ullah, Irfan , Vacante, Marco , Violante, Francesco , Waheed, Yasir , Wolfe, Charles , Yamada, Tomohide , Yonemoto, Naohiro , Yu, Chuanhua , Zaman, Sojib , Brauer, Michael
- Date: 2022
- Type: Text , Journal article
- Relation: The Lancet. Planetary health Vol. 6, no. 7 (2022), p. e586-e600
- Full Text: false
- Reviewed:
- Description: Experimental and epidemiological studies indicate an association between exposure to particulate matter (PM) air pollution and increased risk of type 2 diabetes. In view of the high and increasing prevalence of diabetes, we aimed to quantify the burden of type 2 diabetes attributable to PM2·5 originating from ambient and household air pollution. We systematically compiled all relevant cohort and case-control studies assessing the effect of exposure to household and ambient fine particulate matter (PM2·5) air pollution on type 2 diabetes incidence and mortality. We derived an exposure–response curve from the extracted relative risk estimates using the MR-BRT (meta-regression—Bayesian, regularised, trimmed) tool. The estimated curve was linked to ambient and household PM2·5 exposures from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, and estimates of the attributable burden (population attributable fractions and rates per 100 000 population of deaths and disability-adjusted life-years) for 204 countries from 1990 to 2019 were calculated. We also assessed the role of changes in exposure, population size, age, and type 2 diabetes incidence in the observed trend in PM2·5-attributable type 2 diabetes burden. All estimates are presented with 95% uncertainty intervals. In 2019, approximately a fifth of the global burden of type 2 diabetes was attributable to PM2·5 exposure, with an estimated 3·78 (95% uncertainty interval 2·68–4·83) deaths per 100 000 population and 167 (117–223) disability-adjusted life-years (DALYs) per 100 000 population. Approximately 13·4% (9·49–17·5) of deaths and 13·6% (9·73–17·9) of DALYs due to type 2 diabetes were contributed by ambient PM2·5, and 6·50% (4·22–9·53) of deaths and 5·92% (3·81–8·64) of DALYs by household air pollution. High burdens, in terms of numbers as well as rates, were estimated in Asia, sub-Saharan Africa, and South America. Since 1990, the attributable burden has increased by 50%, driven largely by population growth and ageing. Globally, the impact of reductions in household air pollution was largely offset by increased ambient PM2·5. Air pollution is a major risk factor for diabetes. We estimated that about a fifth of the global burden of type 2 diabetes is attributable PM2·5 pollution. Air pollution mitigation therefore might have an essential role in reducing the global disease burden resulting from type 2 diabetes. Bill & Melinda Gates Foundation.
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