scholarly journals A qualitative study exploring medicines use pattern and practice among general public in Malaysia

2016 ◽  
Vol 14 (2) ◽  
pp. 740-740 ◽  
Author(s):  
Omar T. Dawood ◽  
Mohamed A. Hassali ◽  
Fahad Saleem
Keyword(s):  
Qualitative Study ◽  
General Public ◽  
Medicines Use ◽  
Use Pattern

Assessment of the medicines use pattern among the general public in the state of Penang, Malaysia

2017 ◽  
Vol 47 (4) ◽  
pp. 269-276
Author(s):  
Omar Thanoon Dawood ◽  
Mohamed Azmi Hassali ◽  
Fahad Saleem ◽  
Hisham Aljadhey
Keyword(s):  
General Public ◽  
The State ◽  
Medicines Use ◽  
Use Pattern

Pharmacists’ and older adults’ perspectives on the benefits and barriers of Home Medicines Reviews – a qualitative study

2019 ◽  
Vol 25 (2) ◽  
pp. 77-85 ◽  
Author(s):  
Kristie Rebecca Weir ◽  
Vasi Naganathan ◽  
Carissa Bonner ◽  
Kirsten McCaffery ◽  
Debbie Rigby ◽  
...  
Keyword(s):  
Older Adults ◽  
Qualitative Study ◽  
Older Patients ◽  
Opportunity To Learn ◽  
Professional Communication ◽  
Limited Information ◽  
Framework Analysis ◽  
Telephone Interviews ◽  
Medicines Use ◽  
Audio Recordings

Objectives Conducting a medication review is one way to optimize medications and support older people to reduce the burden of polypharmacy. In Australia, a service called a Home Medicines Review (HMR) is conducted by pharmacists as part of a nationally funded program. HMRs aim to identify and resolve problems associated with polypharmacy and improve collaboration between patient, pharmacist and general practitioner. The aim of this study was to explore the benefits of and barriers to HMRs from the perspective of older patients and pharmacists. Methods This qualitative study involved observations of HMRs ( n = 12) and telephone interviews with 32 participants including 11 accredited pharmacists, 17 older adults aged 65 years and above, with 4 of their companions, in Australia. The researcher observing took notes during the HMR and added more detail and reflections afterwards. Transcribed audio-recordings and observational notes were thematically coded using framework analysis. Results Older patients and their companions found the HMR useful and they appreciated the opportunity to learn more about their medicines. However, many did not understand the purpose of the HMR, had limited understanding about their medicines and some did not want to know more. Pharmacists found HMRs useful for identifying medication errors and improving adherence. They also reported barriers to effective HMRs relating to patients (resistance to the evaluation of their medicines, misunderstanding about the aim of the HMR) and GPs (limited information upon referral, and limited follow-up afterwards). Conclusions Older patients and pharmacists reported a range of benefits for HMRs in terms of optimizing medicines use. Barriers to effective HMR use need to be addressed, including gaps in inter-professional communication and factors related to patient involvement, such as limited medicines understanding and health literacy.

scholarly journals Opinions about euthanasia and advanced dementia: a qualitative study among Dutch physicians and members of the general public

2015 ◽  
Vol 16 (1) ◽  
Author(s):  
Pauline SC Kouwenhoven ◽  
Natasja JH Raijmakers ◽  
Johannes JM van Delden ◽  
Judith AC Rietjens ◽  
Donald G van Tol ◽  
...  
Keyword(s):  
Qualitative Study ◽  
General Public ◽  
Advanced Dementia

scholarly journals The views of the general public on prioritising vaccination programmes against childhood diseases: A qualitative study

PLoS ONE ◽  
2018 ◽  
Vol 13 (6) ◽  
pp. e0197374 ◽  
Author(s):  
Gemma Lasseter ◽  
Hareth Al-Janabi ◽  
Caroline L. Trotter ◽  
Fran E. Carroll ◽  
Hannah Christensen
Keyword(s):  
Qualitative Study ◽  
General Public ◽  
Childhood Diseases

scholarly journals Conditionally positive: a qualitative study of public perceptions about using health data for artificial intelligence research

2020 ◽  
Author(s):  
Melissa D McCradden ◽  
Tasmie Sarker ◽  
P Alison Paprica
Keyword(s):  
Artificial Intelligence ◽  
Qualitative Research ◽  
Qualitative Study ◽  
Focus Groups ◽  
Thematic Analysis ◽  
General Public ◽  
Improve Patient Care ◽  
Health Data ◽  
Qualitative Description ◽  
The Public

ABSTRACTObjectivesGiven widespread interest in applying artificial intelligence (AI) to health data to improve patient care and health system efficiency, there is a need to understand the perspectives of the general public regarding the use of health data in AI research.DesignA qualitative study involving six focus groups with members of the public. Participants discussed their views about AI in general, then were asked to share their thoughts about three realistic health AI scenarios. Data were analysed using qualitative description thematic analysis.SettingsTwo cities in Ontario, Canada: Sudbury (400 km north of Toronto) and Mississauga, (part of the Greater Toronto Area).ParticipantsForty-one purposively sampled members of the public (21M:20F, 25-65 years, median age 40).ResultsParticipants had low levels of prior knowledge of AI and mixed, mostly negative, perceptions of AI in general. Most endorsed AI as a tool for the analysis of health data when there is strong potential for public benefit, providing that concerns about privacy, consent, and commercial motives were addressed. Inductive thematic analysis identified AI-specific hopes (e.g., potential for faster and more accurate analyses, ability to use more data), fears (e.g., loss of human touch, skill depreciation from over-reliance on machines) and conditions (e.g., human verification of computer-aided decisions, transparency). There were mixed views about whether consent is required for health data research, with most participants wanting to know if, how and by whom their data were used. Though it was not an objective of the study, realistic health AI scenarios were found to have an educational effect.ConclusionsNotwithstanding concerns and limited knowledge about AI in general, most members of the general public in six focus groups in Ontario, Canada perceived benefits from health AI and conditionally supported the use of health data for AI research.STRENGTHS AND LIMITATIONS OF THIS STUDYA strength of this study is the analysis of how diverse members of the general public perceive three realistic scenarios in which health data are used for AI research.The detailed health AI scenarios incorporate points that previous qualitative research has indicated are likely to elicit discussion (e.g., use of health data without express consent, involvement of commercial organisations in health research, inability to guarantee anonymity of genetic data) and may also be useful in future qualitative research studies and for educational purposes.The findings are likely to be relevant to organisations that are considering making health data available for AI research and development.Notwithstanding the diverse ethnic and educational backgrounds of participants, overall the sample represents the general (mainstream) population of Ontario and results cannot be interpreted as presenting the views of specific subpopulations and may not be generalisable across Ontario or to other settings.Given the low level of knowledge about AI in general it is possible that the views of participants would change substantially if they learned and understood more about AI.TRANSPARENCY STATEMENTP. Alison Paprica affirms that the manuscript is an honest, accurate and transparent account of the study being reported; that no important aspects of the study have been omitted; and that there were no discrepancies from the study as originally approved by the University of Toronto Research Ethics Board.

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