Reflections on Type III Error: Ethical Implications for Mental Health Research, Public Policy, and Population Health

2020 ◽  
Vol 22 (2) ◽  
pp. 114-123
Author(s):  
Margaret Walkover

This reflection comments on Type III error—how the misrecognition of causal factors shaping the onset, acuity, and duration of mental health symptoms may lead to the design of interventions that compromise the health of populations. Type III error reveals the ethical challenges of research designs that answer the wrong question. The argument offered by Schwartz and Carpenter in their 1999 article, “The right answer for the wrong question: consequences of Type III error for public health research,” is used as a foil to discuss ethical implications for population mental health.

2011 ◽  
Vol 2 (4) ◽  
pp. 42-51 ◽  
Author(s):  
Gloria D. Eldridge ◽  
Mark E. Johnson ◽  
Christiane Brems ◽  
Staci L. Corey

2021 ◽  
Vol 38 (4) ◽  
pp. 243-246
Author(s):  
Blanaid Gavin ◽  
John Lyne ◽  
Fiona McNicholas

AbstractApproaching 2 years into a global pandemic, it is timely to reflect on how COVID-19 has impacted the mental health of the global population. With research continuing apace, a clearer picture should crystallise in time. COVID-19 has undoubtedly had some impact on population mental health, although the severity and duration of this impact remain less clear. The exceptional period of COVID-19 has provided a unique prism through which we can observe and consider societal mental health. This is a momentous time to be involved in mental health research as we strive to understand the mental health needs of the population and advocate for adequate resourcing to deliver quality mental healthcare in the post-pandemic period.


2020 ◽  
Vol 217 (4) ◽  
pp. 540-542 ◽  
Author(s):  
Matthew Hotopf ◽  
Ed Bullmore ◽  
Rory C. O'Connor ◽  
Emily A. Holmes

SummaryThe effects of the COVID-19 pandemic on population mental health are unknown. We need to understand the scale of any such impact in different sections of the population, who is most affected and how best to mitigate, prevent and treat any excess morbidity. We propose a coordinated and interdisciplinary mental health science response.


2018 ◽  
Vol 24 (4) ◽  
pp. 237-244 ◽  
Author(s):  
Peter Schofield ◽  
Jayati Das-Munshi

SUMMARYThis article looks at the use of large datasets of health records, typically linked with other data sources, in mental health research. The most comprehensive examples of this kind of ‘big data’ are typically found in Scandinavian countries, although there are also many useful sources in the UK. There are a number of promising methodological innovations from studies using big data in UK mental health research, including: hybrid study designs, data linkage and enhanced study recruitment. It is, however, important to be aware of the limitations of research using big data, particularly the various pitfalls in analysis. We therefore caution against abandoning traditional research designs, and argue that other data sources are equally valuable and, ideally, research should incorporate data from a range of sources.LEARNING OBJECTIVES•Be aware of major big data resources relevant to mental health research•Be aware of key advantages and innovative study designs using these data sources•Understand the inherent limitations to studies reliant on big data aloneDECLARATION OF INTERESTNone.


2015 ◽  
Vol 16 (1) ◽  
pp. 15-28 ◽  
Author(s):  
Anna Chiumento ◽  
Muhammad Naseem Khan ◽  
Atif Rahman ◽  
Lucy Frith

2020 ◽  
Author(s):  
Sapfo Lignou ◽  
John Geddes ◽  
Ilina Singh

Advancements in mental health research, social changes and policy developments have led to the emergence of new forms of research partnerships, which bring together research institutions, public companies and lay people as partners in the same research project. In this paper, we argue that partnerships comprised of industry, academia and people with experience of mental illness may present practical and ethical challenges that affect the conduct of research and undermine public trust in research collaborations. We outline a number of ethical problems from the motivation to combine competing interests and values of these diverse research partners. We argue that while critical perspectives on each of the partnership forms outlined above exist in the literature, the combination of industry, research and PPI actors in partnership in mental health research has not received sufficient scrutiny. We suggest that a robust ethical approach is needed to properly substantiate the value of such research partnerships, to inform practical and ethical guidance on potential conflicts and to facilitate productive collaborative research.


2018 ◽  
Vol 17 (1) ◽  
pp. 8-11
Author(s):  
Pratik Khanal ◽  
Sajana Maharjan

People with mental health problems are considered as vulnerable population by national ethical guidelines of health research in Nepal. There are different ethical challenges in research involving people with mental health problems. Ethical challenges are related to study design, autonomy, beneficence and nonmaleficence, justice, respect for the environment and consent taking process. Respecting the human rights of those with mental health problems is necessary during research and this requires research stakeholders to be responsible.


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