The impact of training and delivering alcohol brief intervention on the knowledge and attitudes of community pharmacists: A before and after study

2012 ◽  
Vol 32 (2) ◽  
pp. 147-156 ◽  
Author(s):  
Ranjita Dhital ◽  
Cate M. Whittlesea ◽  
Peter Milligan ◽  
Natasha S. Khan ◽  
Ian J. Norman
2013 ◽  
Vol 1 (2) ◽  
pp. 209-234 ◽  
Author(s):  
Pengyuan Wang ◽  
Mikhail Traskin ◽  
Dylan S. Small

AbstractThe before-and-after study with multiple unaffected control groups is widely applied to study treatment effects. The current methods usually assume that the control groups’ differences between the before and after periods, i.e. the group time effects, follow a normal distribution. However, there is usually no strong a priori evidence for the normality assumption, and there are not enough control groups to check the assumption. We propose to use a flexible skew-t distribution family to model group time effects, and consider a range of plausible skew-t distributions. Based on the skew-t distribution assumption, we propose a robust-t method to guarantee nominal significance level under a wide range of skew-t distributions, and hence make the inference robust to misspecification of the distribution of group time effects. We also propose a two-stage approach, which has lower power compared to the robust-t method, but provides an opportunity to conduct sensitivity analysis. Hence, the overall method of analysis is to use the robust-t method to test for the overall hypothesized range of shapes of group variation; if the test fails to reject, use the two-stage method to conduct a sensitivity analysis to see if there is a subset of group variation parameters for which we can be confident that there is a treatment effect. We apply the proposed methods to two datasets. One dataset is from the Current Population Survey (CPS) to study the impact of the Mariel Boatlift on Miami unemployment rates between 1979 and 1982.The other dataset contains the student enrollment and grade repeating data in West Germany in the 1960s with which we study the impact of the short school year in 1966–1967 on grade repeating rates.


2021 ◽  
Author(s):  
Kaio Bin ◽  
Adler Araújo Ribeiro Melo ◽  
José Guilherme Franco Da Rocha ◽  
Renata Pivi De Almeida ◽  
Vilson Cobello Junior ◽  
...  

BACKGROUND AIRA is an AI designed to reduce the time that doctors dedicate filling out EHR, winner of the first edition of MIT Hacking Medicine held in Brazil in 2020. As a proof of concept, AIRA was implemented in administrative process before its application in a medical process. OBJECTIVE The aim of the study is to determinate the impact of AIRA by eliminating the Medical Care Registration (MCR) on Electronic Health Record (EHR) by Administrative Officer. METHODS This is a comparative before-and-after study following the guidance “Evaluating digital health products” from Public Health England. An Artificial Intelligence named AIRA was created and implemented at CEAC (Employee Attention Center) from HCFMUSP. A total of 25,507 attendances were evaluated along 2020 for determinate AIRA´s impact. Total of MCR, time of health screening and time between the end of the screening and the beginning of medical care, were compared in the pre and post AIRA periods. RESULTS AIRA eliminated the need for Medical Care Registration by Administrative Officer in 92% (p<0.0001). The nurse´s time of health screening increased 16% (p<0.0001) during the implementation, and 13% (p<0.0001) until three months after the implementation, but reduced in 4% three months after implementation (p<0.0001). The mean and median total time to Medical Care after the nurse’ Screening was decreased in 30% (p<0.0001) and 41% (p<0.0001) respectively. CONCLUSIONS The implementation of AIRA reduced the time to medical care in an urgent care after the nurse´ screening, by eliminating non-value-added activity the Medical Care Registration on Electronic Health Record (EHR) by Administrative Officer.


2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S479-S479
Author(s):  
Silvia I Gnass

Abstract Background In order to improve outcomes, including reduced surgical infection rate and costs, a revised universal preoperative decolonization protocol was implemented on a trial basis. Methods In a 12 month before and after study at a public teaching hospital in southern California, an alcohol based nasal antiseptic was introduced in place of nasal povidone iodine (PVI) for all surgical patients pre-operatively, paired with chlorhexidine (CHG) bathing which was already in place. All surgical procedures were included, the most common being cholecystectomy, cesarean section and hip fracture. The alcohol nasal antiseptic was selected to replace the PVI nasal antiseptic based on efficacy, staff preference and cost. At the same time, surgical team members began self-application of the alcohol nasal antiseptic each day prior to surgical procedures. This was not mandatory and compliance was not tracked, though informal feedback and observation revealed most surgical team members were applying the nasal antiseptic prior to cases daily. Results In comparison to the 6 month baseline period where there were 27 SSI in 1188 procedures, during the 6 month study period there were 10 SSI in 1253 procedures, representing a 63% reduction (p=.0162) for all types of procedures. We have observed a reduction of 17 SSIs in 2019, compared to the previous year, during the 6 months period. That means a saving of $589,420 during the same period. Conclusion Preoperative universal decolonization with alcohol based nasal antiseptic in place of nasal PVI, paired with CHG bathing, was effective in reducing SSI rate and associated costs. Further study is needed to measure and assess the impact of surgical team member nasal decolonization on patient infection risk and rate. Disclosures All Authors: No reported disclosures


2021 ◽  
Vol 13 (8) ◽  
pp. 1-18
Author(s):  
Matthew Thomas ◽  
Laura Brady ◽  
Monika Wozniak ◽  
Elizabeth Terranova ◽  
Cheryll Moore ◽  
...  

Background: Opioid use is a major public health issue and opioid overdose requires rapid response with naloxone. Aims: This study assesses the impact of a training session on the knowledge and attitudes of first responders and members of the community regarding opioid overdose recognition and naloxone use. Methods: A training session was delivered to 2327 participants between July 2019 and March 2020. The study used a paired, pre-/post-analysis to quantify changes. Findings: Nearly all (99.7%) participants completed a survey before and after training. Statistically significant improvements were observed in nearly all attitude and knowledge items. Conclusion: An education session delivered to an educationally and professionally diverse group can improve trainees' knowledge and attitudes. There were some significant differences between sub-groups, particularly regarding their professional and educational background, and whether the location was urban or rural. Further study is needed to examine whether trainees would benefit from a course tailored toward their education and professional experience.


2017 ◽  
Vol 63 (3) ◽  
pp. 275-277 ◽  
Author(s):  
Nathaly de Oliveira Bosoni ◽  
Geraldo Busatto Filho ◽  
Daniel Martins de Barros

Background: Stigma is a major problem in schizophrenia, and the most effective way to reduce it is to provide information. But literature lacks studies evaluating long-term efficacy of mass communication. Aims: This is a pilot study to assess if a brief intervention (TV report) may have long-term effects. Method: Assessing stigma scores from subjects before and after seeing a vignette. Results: We found that the social distance and restriction to patients not only fell after a brief intervention but also kept lower after 1 and 3 months. Conclusion: We conclude that even brief intervention may create persistent impact in reducing discrimination.


2010 ◽  
Vol 34 (8) ◽  
pp. 326-329 ◽  
Author(s):  
Gisli H. Gudjonsson ◽  
Gemma Webster ◽  
Timothy Green

Aims and methodTo investigate the attitude of staff towards the recovery approach in forensic mental health services and the impact of training on staff knowledge and attitudes. A specially constructed 50-item recovery approach staff questionnaire, which focused on the core components of the recovery approach, was completed by 137 members of staff in in-patient forensic services in Lambeth, south London.ResultsStaff were generally very positive about the implementation of the recovery approach in forensic services and those who had received training scored significantly higher on the questionnaire than non-trained staff.Clinical implicationsThe great majority of staff agree that the recovery approach to care does have a place in forensic services. This is important and needs to be built into the implementation of this approach in forensic services.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sabrina Dalbosco Gadenz ◽  
Josué Basso ◽  
Patrícia Roberta Berithe Pedrosa de Oliviera ◽  
Stephan Sperling ◽  
Marcus Vinicius Dutra Zuanazzi ◽  
...  

Abstract Background Management of patient flow within a healthcare network, allowing equitable and qualified access to healthcare, is a major challenge for universal health systems. Implementation of telehealth strategies to support referral management has been shown to increase primary care resolution and to promote coordination of care. The objective of this study was to assess the impact of telehealth strategies on waiting lists and waiting times for specialized care in Brazil. Methods Before-and-after study with measures obtained between January 2019 and February 2020. Baseline measurements of waiting lists were obtained immediately before the implementation of a remotely operated referral management system. Post-interventional measurements were obtained monthly, up to six months after the beginning of operation. Data was extracted from the database of the project. General linear models were applied to assess interaction of locality and time over number of cases on waiting lists and waiting times. Results At baseline, the median number of cases on waiting lists ranged from 2961 to 12,305 cases. Reductions of the number of cases on waiting lists after six months of operation were observed in all localities. The magnitude of the reduction ranged from 54.67 to 88.97 %. Interaction of time measurements was statistically significant from the second month onward. Median waiting times ranged from 159 to 241 days at baseline. After six months, there was a decrease of 100 and 114 waiting days in two localities, respectively, with reduction of waiting times only for high-risk cases in the third locality. Conclusions Adoption of telehealth strategies resulted in the reduction of number of cases on waiting lists. Results were consistent across localities, suggesting that telehealth interventions are viable in diverse settings.


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