scholarly journals Incorporating Quantitative Patient Preference Data into Healthcare Decision Making Processes: Is HTA Falling Behind?

2018 ◽  
Vol 11 (3) ◽  
pp. 249-252 ◽  
Author(s):  
David John Mott
Author(s):  
Haylee Lane ◽  
Jennifer M. Martin ◽  
Terry Haines

The aim of this chapter is to explore the factors that health managers adopt when making decisions on how to allocate limited healthcare resources. The objective is to increase knowledge and understanding of decision making processes at the macro, meso, and micro levels and priority setting. An examination of current healthcare decision-making processes used for resource allocation around the world highlights the disparities in models and approaches and the often ad hoc nature of decisions made. A description of the allied health workforce highlights the size and significance of this workforce and why understanding decisions made in regards to allied health resources is of importance. Issues of access and equity are also considered in relation to notions of fairness and efficacy in relation to health outcomes.


2017 ◽  
Vol 34 (1) ◽  
pp. 105-110 ◽  
Author(s):  
Kevin Marsh ◽  
J. Jaime Caro ◽  
Erica Zaiser ◽  
James Heywood ◽  
Alaa Hamed

Objectives: Patient preferences should be a central consideration in healthcare decision making. However, stories of patients challenging regulatory and reimbursement decisions has led to questions on whether patient voices are being considered sufficiently during those decision making processes. This has led some to argue that it is necessary to quantify patient preferences before they can be adequately considered.Methods: This study considers the lessons from the use of multi-criteria decision analysis (MCDA) for efforts to quantify patient preferences. It defines MCDA and summarizes the benefits it can provide to decision makers, identifies examples of MCDAs that have involved patients, and summarizes good practice guidelines as they relate to quantifying patient preferences.Results: The guidance developed to support the use of MCDA in healthcare provide some useful considerations for the quantification of patient preferences, namely that researchers should give appropriate consideration to: the heterogeneity of patient preferences, and its relevance to decision makers; the cognitive challenges posed by different elicitation methods; and validity of the results they produce. Furthermore, it is important to consider how the relevance of these considerations varies with the decision being supported.Conclusions: The MCDA literature holds important lessons for how patient preferences should be quantified to support healthcare decision making.


2020 ◽  
Vol 36 (S1) ◽  
pp. 16-17
Author(s):  
Enver Kagan Atikeler ◽  
Ahmad Nader Fasseeh ◽  
Bert Leufkens ◽  
Wim Goettsch

IntroductionTurkey's health reforms, which started in 2003, have led to increased access to health care and pharmaceuticals as well as rising public pharmaceutical expenditures. The need to improve healthcare decision making by implementing health technology assessment (HTA) has become an important priority for Turkey. This study sought to provide a tailor-made HTA implementation roadmap, drawing on insights from national stakeholders.Our study aimed to describe the current HTA environment in Turkey and to explore long-term perspectives and suggestions from a wide spectrum of Turkish stakeholders regarding the preferred status of HTA in ten years (by 2029).MethodsWe conducted an online survey using a questionnaire previously applied in other HTA research. We assessed the current evaluation of medical and economic decision-making processes and examined the need for HTA. We also ascertained stakeholder perspectives on potential developments that can be done together with policymakers, representatives of pharmaceutical companies, and patient organizations. We also included general information about the pharmaceutical market and decision making processes in Turkey.ResultsThe survey was sent to various stakeholders from different areas within the health system. Additional face-to-face interviews were conducted with a few respondents to clarify some of their answers. A total of twenty-seven Turkish stakeholders completed the survey. Of these, twenty-one (78%) participants were employed in the public sector and six (22%) were from the private sector. The majority of the participants would introduce HTA for all new health technologies being considered for public reimbursement and institute an additional review process for currently reimbursed technologies. Most of the respondents considered that only new technologies with significant budget impact should be evaluated in the next ten years.ConclusionsIt is clear that Turkey needs to implement an HTA process in the future. Our study shows stakeholder expectations, which will be helpful for creating an HTA implementation roadmap, and it is clear that different stakeholders have different views and expectations about HTA implementation in Turkey. The experiences of other countries will also be helpful during the implementation process.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 384-384
Author(s):  
Hyejin Kim ◽  
Molly Perkins ◽  
Thaddeus Pope ◽  
Patricia Comer ◽  
Mi-Kyung Song

Abstract ‘Unbefriended’ adults are those who lack decision-making capacity and have no surrogates or advance care plans. Little data exist on nursing homes (NHs)’ healthcare decision-making practices for unbefriended residents. This study aimed to describe NH staff’s perceptions of healthcare decision making on behalf of unbefriended residents. Sixty-six staff including administrators, physicians, nurses, and social workers from three NHs in one geographic area of Georgia, USA participated in a 31-item survey. Their responses were analyzed using descriptive statistics and conventional content analysis. Of 66 participants, eleven had been involved in healthcare decision-making for unbefriended residents. The most common decision was do-not-resuscitate orders. Decisions primarily were made by relying on the resident’s primary care physician and/or discussing within a facility interdisciplinary team. Key considerations in the decision-making process included “evidence that the resident would not have wanted further treatment” and the perception that “further treatment would not be in the resident’s best interest”. Compared with decision making for residents with surrogates, participants perceived decision making for unbefriended residents to be equally-more difficult. Key barriers to making decisions included uncertainty regarding what the resident would have wanted in the given situation and concerns regarding the ethically and legally right course of action. Facilitators (reported by 52 participants) included some information/knowledge about the resident, an understanding regarding decision-making-related law/policy, and facility-level support. The findings highlight the complexity and difficulty of healthcare decision making for unbefriended residents and suggest more discussions among all key stakeholders to develop practical strategies to support decision-making practices in NHs.


2021 ◽  
Author(s):  
Vivek C. Pandrangi ◽  
Nyssa Fox Farrell ◽  
Jess C. Mace ◽  
Kara Y. Detwiller ◽  
Timothy L. Smith ◽  
...  

2020 ◽  
Vol 32 (S1) ◽  
pp. 65-65
Author(s):  
Ana Saraiva Amaral ◽  
Rosa Marina Afonso ◽  
Mário R. Simões ◽  
Sandra Freitas

Mild cognitive impairment (MCI) and Alzheimer’s Disease (AD) prevalence is expected to continue to increase, due to the population ageing. MCI and AD may impact patients’ decision-making capacities, which should be assessed through the disease course. These medical conditions can affect the various areas of decision-making capacity in different ways. Decision-making capacity in healthcare is particularly relevant among this population. Elders often suffer from multimorbidity and are frequently asked to make healthcare decisions, which can vary from consenting a routine diagnostic procedure to decide receiving highly risk treatments.To assess this capacity in elders with MCI or AD, we developed the Healthcare Decision-Making Capacity Assessment Instrument (IACTD-CS - Instrumento de Avaliação da Capacidade de Tomada de Decisão em Cuidados de Saúde). This project is funded by Portuguese national funding agency for science, research and technology, FCT (SFRH/BD/139344/2018). IACTD-CS was developed based on Appelbaum and Grisso four abilities model, literature review and review of international assessment instruments. After IACTD-CS first version development, an exploratory study with focus groups was conducted. This study included focus groups with healthcare professionals and nursing homes’ professionals.The focus groups main goals were: 1) understand the participants perception regarding healthcare decision-making capacity, 2) distinguish relevant aspects of decision-making, 3) discuss the abilities and items included in IACTD-CS and 4) identify new aspects or items to be added to IACTD-CS. A content analysis of the focus groups results, with resource to MAXQDA, was conducted afterwards. This exploratory study allowed to identify professionals’ perceptions on healthcare decision-making and its results were a significant contribute to IACTD-CS development. The proposed communication aims to describe the methodology used and present the results of content analysis.


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