The True Appearance Behind Satisfaction in Young Women: A Study Using Stereophotogrammetry and FACE-Q

Journal of Craniofacial Surgery, Год журнала: 2025, Номер unknown

Опубликована: Янв. 3, 2025

This cross-sectional observational study aimed to investigate the relationship between satisfaction with facial appearance among young women, as measured by FACE-Q tool, and asymmetry quantified through stereophotogrammetry. A total of 50 women aged 18 30 years a normal body mass index were recruited for study. Participants categorized either symmetrical or asymmetrical based on assessments obtained clinical examination stereophotogrammetry using Vectra M3 system. Facial was root mean square (RMS) distances, participants classified into (RMS ≤0.68) >0.68) groups. The statistical analysis included intraclass correlation coefficient (ICC) assess repeatability RMS measurements (ICC=0.945), Receiver operating characteristic (ROC) curve (area under curve=0.900), independent t tests compare scores Results showed no significant differences in In addition, simple linear regression indicated that values not predictive scores, suggesting asymmetry, this study, did have direct effect self-reported appearance. These findings highlight nuanced nature individual appearance, health care providers should combine evaluation empathetic communication address both aesthetic functional concerns patients more effectively.

Язык: Английский

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Could hospitals operating through a value-based healthcare policy overcome potential management drawbacks in European healthcare?

Health Policy, Год журнала: 2025, Номер 152, С. 105249 - 105249

Опубликована: Янв. 13, 2025

Язык: Английский

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Developing a Prototype Machine Learning Model to Predict Quality of Life Measures in People Living With HIV

Integrated Pharmacy Research and Practice, Год журнала: 2025, Номер Volume 14, С. 1 - 16

Опубликована: Янв. 1, 2025

In the realm of Evidence-Based Medicine, introduced by Gordon Guyatt in early 1990s, integration machine learning technologies marks a significant advancement towards more objective, evidence-driven healthcare. Medicine principles focus on using best available scientific evidence for clinical decision-making, enhancing healthcare quality and consistency integrating this with clinician expertise patient values. Patient-Reported Outcome Measures (PROMs) Experience (PREMs) have become essential evaluating broader impacts treatments, especially chronic conditions like HIV, reflecting health well-being comprehensively. The study aims to leverage Machine Learning (ML) predict outcomes from PROMs/PREMs data, focusing people living HIV. Our research utilizes ML Random Forest Regression analyze data collected over 1200 HIV through NAVETA telemedicine system. findings demonstrate potential algorithms provide precise consistent predictions outcomes, indicating high reliability effectiveness settings. Notably, our ALGOPROMIA model achieved highest predictive accuracy questionnaires such as MOS30 VIH (Adj. R² = 0.984), ESTAR 0.963), BERGER 0.936). Moderate performance was observed P3CEQ 0.753) TSQM 0.698), variability across instruments. Additionally, demonstrated strong maintaining standardized prediction errors below 0.2 most instruments, probabilities achieving threshold being 96.43% WHOQoL Bref 88.44% ESTAR, while lower were (44%) WRFQ (51%). results are promising predicting PROMs PREMs AIDS This work highlights how can enhance pharmaceutical decision-making support personalized treatment strategies within multidisciplinary framework. Furthermore, leveraging platforms deploying these models presents scalable approach implementation, fostering patient-centered, value-based care.

Язык: Английский

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Instruments for assessing patient-reported experience measures among patients with diabetes mellitus: a scoping review

Journal of Patient-Reported Outcomes, Год журнала: 2025, Номер 9(1)

Опубликована: Фев. 8, 2025

Diabetes Mellitus (DM) management is increasingly focusing on patient-centered care, making patient-reported experience measures (PREMs) critical for understanding the subjective aspects of diabetes treatment and self-management. These differ based cultural contexts individual perspectives, leading different countries to development country-specific tools assess care quality from patient's viewpoint. This review aimed identify available instruments assessing experiences in individuals with examine domains, items, validity reliability these instruments. Following PRISMA-ScR guidelines, databases including PubMed, Embase, CINAHL, Cochrane, Scopus were searched English-language articles without year limitations. scoping focused PREMs that evaluate among adolescent adult patients type 1 2 DM. Studies used patient expectation questionnaires, involved not receiving or outcomes rather than excluded. Eight six representing healthcare settings included, mostly developed countries. A variety methodologies develop PREM instruments, unique domains items. Content analysis revealed five commonly measured domains: (1) planning, (2) education, (3) professionalism, (4) (5) hospital transition, reflecting diverse across services. identifies a limited number evaluating highlighting variability their domain coverage. Five core are proposed settings, an emphasis culturally adapted enhance accuracy capture populations.

Язык: Английский

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A Reason to Recover: A Qualitative Study of Recovery after Traumatic Chest Wall Injury Requiring Intensive Care Admission

Опубликована: Янв. 1, 2025

Язык: Английский

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Refinement and Validation of a New Patient‐Reported Experience Measure for Hearing Loss (My Hearing PREM)

Health Expectations, Год журнала: 2025, Номер 28(2)

Опубликована: Март 15, 2025

ABSTRACT Context Patient‐reported experience measures (PREMs) generate insights into daily challenges experienced when living with a chronic condition and experiences of care. There are no validated PREMs to measure the hearing loss. Objective The aim this study was evaluate psychometric properties newly developed tool, ‘My Hearing PREM’, designed assess loss receiving audiology Setting Participants Adults ( n = 401) were recruited from clinics in Scotland England, non‐clinical routes such as lip‐reading classes, clinical research networks, national charity links social media. Design completed 27‐item PREM alongside scales communication difficulties, loneliness, quality life, decisional conflict health literacy. Modern (Rasch) traditional analysis techniques (internal consistency construct validity) used My PREM. Results Factor initial 27 items produced 3 subscales: Emotional Burden, Support Communication, after 4 removed due poor fit. Rasch carried out on each these subscales further 7 fit model removed. This resulted long‐form 16‐item (My PREM‐16) demonstrating good internal reliability (Cronbach's α 0.91). Each subscale showed (0.91, 0.85 0.71). A short‐form PREM‐9) version for use practice (α 0.79). Both forms demonstrated medium strong significant correlations measures. Conclusion PREM‐16 PREM‐9 reliable validity. They provide way healthcare professionals understand how is affecting an individual's emotional well‐being, interactions communication. Ongoing exploring feasibility routine practice. Patient or Public Contribution We project collaboration members public who have lived loss, through Aston University volunteer networks connected services. Additionally, we engaged individuals more likely be impacted by including adults learning disabilities, older residential care, South Asian communities (Bangladeshi, Indian Pakistani). These stakeholders provided valuable feedback study's aims, content format items, survey design recruitment strategies.

Язык: Английский

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Barriers and Enablers to the Implementation of Patient-Reported Outcome Measures Within Cardiff and Vale University Health Board: A Qualitative Study of Healthcare Professionals' Perspectives

Cureus, Год журнала: 2025, Номер unknown

Опубликована: Апрель 12, 2025

Язык: Английский

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A reason to recover: A qualitative study of recovery after traumatic chest wall injury requiring intensive care admission.

Injury, Год журнала: 2025, Номер unknown, С. 112330 - 112330

Опубликована: Апрель 1, 2025

Язык: Английский

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Hospital to community in Wales: What is the value of optometrists playing a greater role in managing neovascular AMD and glaucoma in primary care?

Ophthalmic and Physiological Optics, Год журнала: 2024, Номер 45(1), С. 280 - 293

Опубликована: Окт. 10, 2024

To evaluate the value of enhanced optometric services for managing neovascular age-related macular degeneration (nAMD) and glaucoma in primary care optometry services, instead hospital eye (HES).

Язык: Английский

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Experience of care from the perspectives of inpatients with palliative care needs: a cross-sectional study using a patient reported experience measure (PREM)

BMC Palliative Care, Год журнала: 2024, Номер 23(1)

Опубликована: Июль 18, 2024

Abstract Background Improving palliative care for inpatients is urgently needed. Data from patient-reported experience measures (PREM) can assist in identifying areas focused improvement. This study aimed to describe patient reported of with needs, inform a baseline understanding and identify key Methods Cross-sectional design where needs were invited complete ‘consideRATE,’ measure care, over six months 2022. Inpatients receiving on an oncology, general medicine/renal medicine/respiratory ward ( n = 3) at Australian metropolitan hospital screened eligibility. Carers could provide proxy responses unable participate. Descriptive statistics used analyse quantitative ratings, whilst free text analysed using integrated thematic analysis. Results One-hundred twenty participants (108 patients 12 carers) completed consideRATE. The questions the highest number ‘very good’ attention symptoms, feelings what matters most; lowest was patients’ affairs, expect, environment care. Almost half 57, 48%) indicated that affairs ‘did not apply’ their inpatient stay. Analysis 532 across 8 highlighted importance feeling supported, informed, heard navigating clinical environment. Conclusion Enabling feedback about one method ensuring improvements matter patients. Supporting teams understand use these data make tailored next step this multi-phase research.

Язык: Английский

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