scholarly journals Investigating Health Professionals’ Retirement Decision-Making

2021 ◽  
Author(s):  
Sarah Hewko
Keyword(s):  
Decision Making ◽  
Health Professionals ◽  
Retirement Decision

Knowledge, Attitudes and associated factors to Use District Health Information System (DHIS2 data) for decision making among health professionals in a Resource limited settings: Cross-sectional Survey (Preprint)

2020 ◽  
Author(s):  
Shuma Gosha Kanfe ◽  
Nebyu Demeke Mengiste ◽  
Mohammedjud Hassen Ahmed ◽  
Gebiso Roba Debele ◽  
Berhanu Fikadie Endehabtu
Keyword(s):  
Decision Making ◽  
Health Professionals ◽  
Associated Factors ◽  
Good Knowledge ◽  
Cross Sectional Survey ◽  
District Health ◽  
Cross Sectional ◽  
Determinant Factors ◽  
Knowledge And Attitudes ◽  
Health Need

BACKGROUND Evidence based practice is a key to increase effectiveness and efficiency of quality health services. To achieve this, utilization of health facility data (DHIS2 data) is required which is determined by knowledge and attitudes of health professionals. Thus, this study aimed to assess knowledge and attitudes of health professionals to use DHIS2 data for decision making. OBJECTIVE This study aimed to assess the knowledge, attitudes and its associated factors among health professionals to use DHIS2 data for decision making at South west of Ethiopia 2020 METHODS Cross sectional quantitative study methods was conducted to assess Knowledge and Attitudes of health professionals to use DHIS2 data. A total of 264 participants were approached. SPSS version 22 software was used for data entry and analysis. Descriptive and analytical statistics including Bivariable and Multivariable analyses was done RESULTS Overall 130(49.2%) of the respondents had good knowledge to use DHIS2 data (95% CI: [43, 55.3]), whereas over 149 (56.4%) of the respondents had favorable attitudes towards the use of DHIS2 data for decision making purpose (95% CI: [53.2, 59.8]). Skills [AOR=2.20,95% CI:(1.16, 4.19)], Age [AOR= 1.92, 95% CI: (1.03, 3.59)] ,Resources[AOR=2.56, 95% CI:(1.35,4.86)], Staffing[AOR= 2.85, 95% CI : (1.49, 5.48)] and Experiences[AOR= 4.66, 95% CI: (1.94, 5.78)] were variables associated with knowledge to use DHIS2 data whereas Training [AOR= 5.59, 95% CI: (2.48, 5.42)], Feedback [AOR= 4.08, 95% CI: (1.87, 8.91)], Motivation [AOR=2.87, 95% CI: (1.36, 6.06)] and Health need [AOR=2.32, 95% CI: (1.10-4.92)] were variables associated with attitudes of health professionals to use DHIS2 data CONCLUSIONS In general, about half of the study participants had good knowledge of DHIS2 data utilization whereas more than half of respondents had favorable attitudes. Skills, resources, ages, staffing and experiences were the most determinant factors for the knowledge to use DHIS2 data whereas health need, motivation, feedback and training were determinant factors for attitudes to use DHIS2 data

Virtual Clinical and Precision Medicine Tumor Boards: A Cloud-based Platform-mediated Implementation of Multidisciplinary Reviews among Oncology Centers in the Covid-19 Era. (Preprint)

2020 ◽  
Author(s):  
Livio Blasi ◽  
Roberto Bordonaro ◽  
Vincenzo Serretta ◽  
Dario Piazza ◽  
Alberto Firenze ◽  
...  
Keyword(s):  
Decision Making ◽  
Health Professionals ◽  
Clinical Pathways ◽  
Prospective Trial ◽  
Banking System ◽  
Outcome Data ◽  
Tumor Board ◽  
Time Saving ◽  
Tumor Boards ◽  
Multidisciplinary Tumor Board

BACKGROUND Multidisciplinary tumor boards play a pivotal role in the patients -centered clinical management and in the decision-making process to provide best evidence -based, diagnostic and therapeutic care to cancer patients. Among the barriers to achieve an efficient multidisciplinary tumor board, lack of time and geographical distance play a major role. Therefore the elaboration of an efficient virtual multidisciplinary tumor board (VMTB) is a key-point to reach a successful oncology team and implement a network among health professionals and institutions. This need is stronger than ever in a Covid-19 pandemic scenario. OBJECTIVE This paper presents a research protocol for an observational study focused on exploring the structuring process and the implementation of a multi-institutional VMTB in Sicily. Other endpoints include analysis of cooperation between participants, adherence to guidelines, patients’ outcomes, and patients satisfaction METHODS This protocol encompasses a pragmatic, observational, multicenter, non-interventional, prospective trial. The study's programmed duration is five years, with a half-yearly analysis of the primary and secondary objectives' measurements. Oncology care health-professionals from various oncology subspecialties at oncology departments in multiple hospitals (academic and general hospitals as well as tertiary centers and community hospitals) are involved in a non-hierarchic fashion. VMTB employ an innovative, virtual, cloud-based platform to share anonymized medical data which are discussed via a videoconferencing system both satisfying security criteria and HIPAA compliance. RESULTS The protocol is part of a larger research project on communication and multidisciplinary collaboration in oncology units and departments spread in the Sicily region in Italy. Results of this study will particularly focus on the organization of VMTB involving oncology units present in different hospitals spread in the area and create a network to allow best patients care pathways and a hub and spoke relationship. Results will also include data concerning organization skills and pitfalls, barriers, efficiency, number and type con clinical cases, and customers’ satisfaction. CONCLUSIONS VMTB represents a unique opportunity to optimize patient’s management in a patient centered approach. An efficient virtualization and data banking system is potentially time-saving, a source for outcome data, and a detector of possible holes in the hull of clinical pathways. The observations and results from this VMTB study may hopefully useful to design nonclinical and organizational interventions that enhance multidisciplinary decision-making in oncology.

scholarly journals Evaluation of the Use of Shared Decision Making in Breast Cancer: International Survey

2021 ◽  
Vol 18 (4) ◽  
pp. 2128
Author(s):  
Marta Maes-Carballo ◽  
Manuel Martín-Díaz ◽  
Luciano Mignini ◽  
Khalid Saeed Khan ◽  
Rubén Trigueros ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Decision Making ◽  
Shared Decision Making ◽  
Health Professionals ◽  
Cross Sectional Study ◽  
Shared Decision ◽  
Online Questionnaire ◽  
Cross Sectional ◽  
Professional Societies ◽  
New Policies

Objectives: To assess shared decision-making (SDM) knowledge, attitude and application among health professionals involved in breast cancer (BC) treatment. Materials and Methods: A cross-sectional study based on an online questionnaire, sent by several professional societies to health professionals involved in BC management. There were 26 questions which combined demographic and professional data with some items measured on a Likert-type scale. Results: The participation (459/541; 84.84%) and completion (443/459; 96.51%) rates were high. Participants strongly agreed or agreed in 69.57% (16/23) of their responses. The majority stated that they knew of SDM (mean 4.43 (4.36–4.55)) and were in favour of its implementation (mean 4.58 (4.51–4.64)). They highlighted that SDM practice was not adequate due to lack of resources (3.46 (3.37–3.55)) and agreed on policies that improved its implementation (3.96 (3.88–4.04)). The main advantage of SDM for participants was patient satisfaction (38%), and the main disadvantage was the patients’ paucity of knowledge to understand their disease (24%). The main obstacle indicated was the lack of time and resources (40%). Conclusions: New policies must be designed for adequate training of professionals in integrating SDM in clinical practice, preparing them to use SDM with adequate resources and time provided.

scholarly journals Factors associated with the decision to prescribe and administer antipsychotics for older people with delirium: a qualitative descriptive study

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e047247
Author(s):  
Emily J Tomlinson ◽  
Helen Rawson ◽  
Elizabeth Manias ◽  
Nicole (Nikki) M Phillips ◽  
Peteris Darzins ◽  
...  
Keyword(s):  
Decision Making ◽  
Older People ◽  
Health Professionals ◽  
Acute Care Hospital ◽  
Nursing Workload ◽  
Care Hospital ◽  
Antipsychotic Medications ◽  
Factors Associated ◽  
Multiple Factors ◽  
Qualitative Descriptive

ObjectivesTo explore factors associated with decision-making of nurses and doctors in prescribing and administering as required antipsychotic medications to older people with delirium.DesignQualitative descriptive.SettingTwo acute care hospital organisations in Melbourne, Australia.ParticipantsNurses and doctors were invited to participate. Semi-structured focus groups and individual interviews were conducted between May 2019 and March 2020. Interviews were audio-recorded and transcribed verbatim. Data were analysed using thematic analysis.ResultsParticipants were 42 health professionals; n=25 nurses and n=17 doctors. Themes relating to decisions to use antipsychotic medication were: safety; a last resort; nursing workload; a dilemma to medicate; and anticipating worsening behaviours. Nurses and doctors described experiencing pressures when trying to manage hyperactive behaviours. Safety was a major concern leading to the decision to use antipsychotics. Antipsychotics were often used as chemical restraints to ‘sedate’ a patient with delirium because nurses ‘can’t do their job’. Results also indicated that nurses had influence over doctors’ decisions despite nurses being unaware of this influence. Health professionals’ descriptions are illustrated in a decision-making flowchart that identifies how nurses and doctors navigated decisions regarding prescription and administration of antipsychotic medications.ConclusionsThe decision to prescribe and administer antipsychotic medications for people with delirium is complex as nurses and doctors must navigate multiple factors before making the decision. Collaborative support and multidisciplinary teamwork are required by both nurses and doctors to optimally care for people with delirium. Decision-making support for nurses and doctors may also help to navigate the multiple factors that influence the decision to prescribe antipsychotics.

An Exploration of Five Stages in Faculty Retirement Decision Making

2020 ◽  
pp. 193672442098298
Author(s):  
Beverlee B. Anderson ◽  
Jennifer Jeffries ◽  
Janet McDaniel
Keyword(s):  
Decision Making ◽  
Qualitative Research ◽  
Decision Process ◽  
Process Model ◽  
Working Life ◽  
Substantial Portion ◽  
Retirement Decision ◽  
Faculty Retirement ◽  
Cognitive Decision

Humans make thousands of decisions each day. Most of the decisions we make are trivial or relatively unimportant in possible consequences. However, there are a few decisions we make in life that are lifechanging; one of those is the decision to retire from the professoriate. Voluntarily deciding to leave a profession where one has spent a substantial portion of one’s working life is one of life’s major decisions. This qualitative research looks at the various influences, actions, and feelings through the process of deciding to retire. Using a five-stage cognitive decision-process model as a framework, this paper reports on the reflections of 20 recent retirees over the five stages of the decision process from when first seriously considering the decision to postretirement activities and feelings. The results show that while all faculty progressed through the five stages, the timeframe, influences, feelings, and actions were unique to each individual.

Physician Involvement in Patients' Retirement Decision-Making

2017 ◽  
Vol 25 (3) ◽  
pp. S100 ◽  
Author(s):  
Nisha Mehta-Naik ◽  
Nancy Needell ◽  
Caitlin Snow
Keyword(s):  
Decision Making ◽  
Retirement Decision

Daily decision-making about food during pregnancy: a New Zealand study

2018 ◽  
Vol 34 (3) ◽  
pp. 469-478 ◽  
Author(s):  
Susan Pullon ◽  
Angela Ballantyne ◽  
Lindsay Macdonald ◽  
Christine Barthow ◽  
Kristin Wickens ◽  
...  
Keyword(s):  
Decision Making ◽  
New Zealand ◽  
Pregnant Women ◽  
Health Professionals ◽  
Controlled Trial ◽  
Food Selection ◽  
Double Blind ◽  
Lifestyle Behaviours ◽  
Qualitative Interview Study ◽  
Food And Drink

Summary Pregnancy has always been a life-changing event for women and their families, but societal concern about pregnancy and motherhood has become intense in the digital age. The role of health promotion agencies and others supplying health-related resources about lifestyle behaviours is both important and in need of scrutiny. Ever increasing advice for pregnant women, their families and health professionals, abounds. This study of decision making during pregnancy investigated how women made everyday decisions during pregnancy about food and drink, as well as dietary supplements and medications, alcohol and recreational drugs. This qualitative interview study was a side-arm to a double-blind randomized, placebo-controlled trial conducted with pregnant women in Wellington New Zealand, 2013–2016. Data from interviews with 20 women were analysed using inductive thematic analysis. In relation to decision-making about lifestyle behaviours, five themes emerged—Information about food; Wanted and unwanted advice; Worry, anxiety and indecision; Making daily decisions about food; Changes in decision making over time. Participating women talked more about food selection and restriction advice than any other lifestyle topic. Analysis demonstrated concern about information accuracy and overload from multiple, diverse sources. Women described learning how to assess resource credibility, how to develop decision-making skills, and who to trust. The study raises important questions about how the health information environment, despite best intentions, can be confusing or potentially harmful. The study underlines the continued importance of the role health professionals have in not only interpreting information to discuss individualized advice, but also in empowering pregnant women to develop lifestyle-related decision-making skills.

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