Identifying the components of clinical vignettes describing Alzheimer's disease or other dementias: a scoping review

Effects of Alzheimer's Diagnosis and Gender on Ageist Attitudes, Aging Anxiety, and Emotional Reactions to Older Adults

BACKGROUND AND OBJECTIVES

We investigated whether ageist attitudes, aging anxiety, and emotional reactions to older adults differ based on Alzheimer's disease (AD) diagnosis, older adult gender, and participant gender, as well as their interactions.

RESEARCH DESIGN AND METHODS

Using an experimental design, 291 participants (176 men, 115 women; 19-55 years) were randomly assigned to read 1 of 4 descriptions of an older adult that varied cognitive health and gender. Measures of ageist attitudes, aging anxiety, and emotional reactions to the older adult were completed online.

RESULTS

Relative to a cognitively intact older adult, an older adult with AD evoked less ageist attitudes, less aging anxiety, more compassion, and less emotional distance. A significant interaction between older adult gender and participant gender indicated women felt greater emotional distance from an older adult man than an older adult woman, while men showed no significant difference.

DISCUSSION AND IMPLICATIONS

The more positive emotions and less ageist responses to an older adult with AD could present as paternalistic and diminish older adults' agency. Women may prioritize shared gender identity over age, which has implications for caregivers and health professionals working with older adults.

Contamination-Focussed Vignettes as an Analogue of Infectious Pandemics: An Experimental Validation using the State Disgust and Anxiety Responses in OCD

Despite infectious pandemics proving particularly detrimental to those with Obsessive-Compulsive Disorder (OCD), the investigation of analogous experimental paradigms is lacking. To address this gap, we conducted two studies employing vignettes that depicted contamination-related situations commonly experienced during a pandemic (e.g., Coughing into hands and failing to use hand sanitizer). We manipulated the salience of these vignettes across three levels: high contamination, low contamination, and a neutral control condition. Our examination of state anxiety and disgust responses in all participants revealed the successful manipulation of the vignettes' impact. Specifically, individuals with more severe OCD symptoms reported significantly higher levels of state disgust and anxiety for both high and low contamination vignettes, in contrast to the group with lower symptom severity. No significant differences were observed in the neutral vignette condition between the high- and low-scoring groups. Interestingly, for those with higher OCD symptoms, high salience contamination-focused vignettes resulted in similarly elevated state disgust and anxiety, regardless of whether the vignettes were situated in public (Study 1) or domestic (Study 2) settings. This suggests that the heightened sensitivity to contamination-related scenarios observed in individuals with OCD symptoms in the present study is not confined to a specific context. These findings support the use of contamination-focused vignettes as analogues for studying infectious pandemics and provide valuable insights into OCD models, interventions, and future research.

Biomedical knowledge of dementia is not enough to counteract its stigma - quantitative research among future medical and social care staff in Poland

OBJECTIVES

The aim is to assess the level of stigmatization and knowledge of dementia among university students of medical, rehabilitation and social faculties in Poland. Possible correlates of these concepts and group differences are also investigated.

METHODS

We applied quantitative methods using an online questionnaire comprising sociodemographics, the Alzheimer's Disease Knowledge Scale, a vignette of a person with dementia and the modified Family Stigma in Alzheimer's Disease Scale.

RESULTS

Students had low levels of dementia knowledge and moderate levels of stigma. Medical science students had significantly better knowledge than the other groups but did not differ in their level of stigma. Relationships between the main variables were complex. Emotional and cognitive stigmatizing attributions were negatively correlated with knowledge about communication and behaviors of people with dementia. Better knowledge on causes and characteristics, as well as on risks and health promotion of the disease also triggered fewer negative attributions toward people with dementia.

CONCLUSIONS

If health-related programs are to be effective, they should provide opportunities for the acquisition of relevant knowledge and skills that also address the stigmatization of people living with dementia. Well-established biomedical knowledge on dementia must be supplemented with a person-centered approach and proper communication skills.

The impact of seizure frequency on quality of life in patients with Lennox-Gastaut syndrome or Dravet syndrome

OBJECTIVES

Lennox-Gastaut syndrome (LGS) and Dravet syndrome (DS) are rare treatment-resistant epileptic encephalopathies with limited data describing the relationship between seizures and quality of life (QoL). The objective of this cross-sectional pilot study was to assess the impact on QoL of seizures and seizure-free days for the generation of utility values.

METHODS

Surveys were conducted in the UK and France, whereby patients and/or caregivers of patients with LGS, DS, or other epilepsies were asked to score health state vignettes for a hypothetical patient with LGS or DS. Respondents evaluated QoL for health states based on the number of seizures and seizure-free days per month, using a visual analog scale (VAS). Visual analog scale scores were converted to the 0-1 scale as a proxy estimate for utility values. Surveys were pilot tested and respondents were recruited from October 2018 to August 2019.

RESULTS

Patient respondents were mainly treatment-responsive (n = 43/55) whereas caregiver respondents mainly cared for patients with treatment-resistant epilepsy (n = 38/43). Most respondents and patients were aged ≥18 years. Results from LGS and DS surveys in the UK (n = 58) and France (n = 40) suggested that health states with fewer seizures and more seizure-free days had higher QoL scores for hypothetical patients. For DS, QoL scores for patient health states ranged from 0.20 (32 convulsive seizures and 4 seizure-free days/month, UK) to 0.92 (seizure-free, France). For LGS, scores ranged from 0.14 (130 drop seizures and 1 seizure-free day/month, France) to 0.83 (seizure-free, UK). In all surveys, seizure-free days had a greater impact on QoL than seizure frequency (P < 0.001).

CONCLUSIONS

Fewer seizures and additional seizure-free days improved QoL in patients with LGS or DS; seizure-free days had the greatest impact on QoL.

Developing and Establishing Content Validity of Vignettes for Health Care Education and Research

The use of vignettes in research and education is well documented. Documentation of how vignettes are developed and content validity is established, however, are rare. The purpose of this paper is to describe a method for development and establishing content validity of vignettes that can be used to assess student performance and research participant outcomes. This three-phase method was designed to validate seven vignettes for a future research project. Content validity index survey and expert panel interviews were used to inform improvements in validity. Findings showed that clinical vignettes were improved with respect to content relevance (from 0.93 to 0.96) and importance (from 0.68 to 0.93). Developing validated vignettes is essential when used to measure outcomes in education and in research. This three-phase method of vignette development and validation is feasible and effective in improving content validity of vignettes and can be used in other education and research projects.

Artificial Intelligence-Based Differential Diagnosis: Development and Validation of a Probabilistic Model to Address Lack of Large-Scale Clinical Datasets

Background

Machine-learning or deep-learning algorithms for clinical diagnosis are inherently dependent on the availability of large-scale clinical datasets. Lack of such datasets and inherent problems such as overfitting often necessitate the development of innovative solutions. Probabilistic modeling closely mimics the rationale behind clinical diagnosis and represents a unique solution.

Objective

The aim of this study was to develop and validate a probabilistic model for differential diagnosis in different medical domains.

Methods

Numerical values of symptom-disease associations were utilized to mathematically represent medical domain knowledge. These values served as the core engine for the probabilistic model. For the given set of symptoms, the model was utilized to produce a ranked list of differential diagnoses, which was compared to the differential diagnosis constructed by a physician in a consult. Practicing medical specialists were integral in the development and validation of this model. Clinical vignettes (patient case studies) were utilized to compare the accuracy of doctors and the model against the assumed gold standard. The accuracy analysis was carried out over the following metrics: top 3 accuracy, precision, and recall.

Results

The model demonstrated a statistically significant improvement (P=.002) in diagnostic accuracy (85%) as compared to the doctors’ performance (67%). This advantage was retained across all three categories of clinical vignettes: 100% vs 82% (P<.001) for highly specific disease presentation, 83% vs 65% for moderately specific disease presentation (P=.005), and 72% vs 49% (P<.001) for nonspecific disease presentation. The model performed slightly better than the doctors’ average in precision (62% vs 60%, P=.43) but there was no improvement with respect to recall (53% vs 56%, P=.27). However, neither difference was statistically significant.

Conclusions

The present study demonstrates a drastic improvement over previously reported results that can be attributed to the development of a stable probabilistic framework utilizing symptom-disease associations to mathematically represent medical domain knowledge. The current iteration relies on static, manually curated values for calculating the degree of association. Shifting to real-world data–derived values represents the next step in model development.

Attitudes, knowledge and beliefs about dementia: focus group discussions with Pakistani adults in Karachi and Lahore

Pakistan is a lower middle-income country, which to date has had very little research and policy making to address the challenge of dementia. This study aims to explore the perceptions of dementia in a group of Pakistani adults. A series of focus group discussions were completed during 2017 with men and women in two metropolitan centres in Pakistan (Lahore and Karachi) (N = 40). Two vignettes, depicting someone with mild dementia and someone with severe dementia, were used to facilitate discussions. An induction-led thematic analysis was completed. Five themes were identified, reflecting (a) dementia awareness, (b) responsibility, (c) barriers to health care, (d) identified support needs, and (e) religion. Most participants had little awareness and knowledge about dementia, commonly understood to be a disease of forgetting or just normal ageing. Thus, there is an urgent need of a nation-wide campaign to raise dementia awareness in Pakistan, though this needs to be accompanied by improved, accessible health and social care services.

Including the Voice of Older Adults in Research

The authors of this paper discuss the use of participatory and visual research methods with older adults with daily care needs in the United Kingdom. The comments made by older adults and their caregivers in focus groups provided the narrative for this paper. The authors also discuss how to engage older adults in participatory research. Nursing research and practice both involve evaluating processes to gain a holistic understanding of patients through multiple means of data collection. In other words, how do nurses give voice to otherwise silent older adults, even in cases when their strength and recall is failing?

Development of Clinical Vignettes to Describe Alzheimer's Disease Health States: A Qualitative Study

Aims

To develop clinical descriptions (vignettes) of life with Alzheimer’s disease (AD), we conducted focus groups of persons with AD (n = 14), family caregivers of persons with AD (n = 20), and clinicians who see persons with AD in their practices (n = 5).

Methods

Group participants read existing descriptions of AD and commented on the realism and comprehensibility of the descriptions. We used thematic framework analysis to code the comments into themes and develop three new vignettes to describe mild, moderate, and severe AD.

Results

Themes included the types of symptoms to mention in the new vignettes, plus the manner in which the vignettes should be written. Since the vignette descriptions were based on focus group participants’ first-hand knowledge of AD, the descriptions can be said to demonstrate content validity.

Conclusion

Members of the general public can read the vignettes and estimate their health-related quality-of-life (HRQoL) as if they had AD based on the vignette descriptions. This is especially important for economic evaluations of new AD medications, which require HRQoL to be assessed in a manner that persons with AD often find difficult to undertake. The vignettes will allow the general public to serve as a proxy and provide HRQoL estimates in place of persons with AD.

Can the general public use vignettes to discriminate between Alzheimer's disease health states?

BACKGROUND

Valid estimates of health-related quality-of-life (HRQoL) are often difficult to obtain from persons with Alzheimer's disease (AD) and family caregiver proxies. To help assess whether the general public can serve as an alternate source of proxy HRQoL estimates in AD, we examined whether the general public can use vignettes to discriminate between AD health states.

METHODS

We administered a telephone survey to randomly recruited participants from the general public who were aged 18 years or older. Interviewers read vignettes describing the mild, moderate, and severe AD health states to the participants, who answered the EQ-5D-5L and Quality of Life-Alzheimer's Disease (QoL-AD) scales as if they had AD based on the vignette descriptions. Participants also answered the EQ-5D-5L for their current health states. We converted EQ-5D-5L responses into health utility scores using Canadian preference weights. We employed the Wilcoxon signed rank test to examine whether mean health utility scores and mean QoL-AD scores differed between health states. We used Pearson's r to assess correlations between health utility and QoL-AD scores.

RESULTS

Forty-eight participants (median age = 53 years; 25 female) completed the telephone interview; health utility and QoL-AD scores decreased as AD severity increased (p <0.0001). Mean health utility scores were 0.65 (mild), 0.51 (moderate), and 0.25 (severe). Mean QoL-AD scores were 26.7 (mild), 23.0 (moderate), and 17.4 (severe). The correlations between health utility and QoL-AD scores were moderate to strong (r ≥ 0.62).

CONCLUSIONS

Using the vignettes, the general public provided HRQoL estimates that discriminated between the three AD health states. This finding suggests the general public may be a promising source of proxy HRQoL estimates in place of persons with AD.