Changes In Health Status Research Articles

Evaluation of a driving clinical decision pathway for generalist occupational therapists: Pilot test of practice change

Background Few evidence-based resources exist to support generalist occupational therapists address driving in practice. This pilot study aimed to evaluate whether a driving clinical decision pathway can assist generalist occupational therapists to address driving with clients. Methods Using a before (Timepoint-1) and after (Timepoint-2) design, data were collected at a multi-site outpatient community rehabilitation service. Medical record audits documenting how driving was addressed in practice and descriptive surveys of therapist’s perceptions of pathway use were collected at Timepoints 1 and 2. A driving clinical decision pathway was implemented over 6 months. Descriptive statistics and content analysis were used to analyse and compare data over time. Results Timepoint-1 data from 102 client medical records, and 13 clinician surveys were compared against Timepoint-2 data from 144 records and 8 surveys. Following implementation of the pathway, the number of assessments used by generalist occupational therapists increased three-fold, to inform driving process recommendations which increased two-fold. Clinicians’ self-reported knowledge, skills and confidence also increased two-fold. Conclusion A comprehensive driving clinical decision pathway provided clinicians with increased structure and support to guide practice change and promote role fulfilment in addressing return to driving with adults following a change in health status.

Comparison of the early childhood oral health impact scale (ECOHIS-4D) and EuroQol-5D-Y for measuring oral health-related quality of life utility in children.

The psychometric properties of the Early Childhood Oral Health Impact Scale (ECOHIS-4D), an oral health-related quality-of-life tool for children, and EuroQol 5D-Young (EQ-5D-Y), a commonly used generic quality-of-life tool for children, were compared across a clinical severity index to determine which tool is better for measuring oral health-related quality of life in children. Delayed and filled surfaces score (dfs) was calculated for under six-year-old children at the recruitment and one year later. ECOHIS-4D and EQ-5D were filled out on both occasions. The following properties were examined: (i) Content validity by comparing mean utility values using the Wilcoxson Signed Rank Test and Bland Altman Test, (ii) Construct validity (ability to discriminate between groups of different clinical severity) by examining effect size between severity groups (iii) Responsiveness (for changes in health status) using floor and ceiling effect, standard response mean and linear regression (iv) Correlation between the utilities and dfs. Respectively, 287 and 189 children were examined at the baseline and follow-up. Mean utility estimates from the tools were significantly different. All items of EQ-5D-Y showed high ceiling effects compared to items of ECOHIS-4D. Only the utility scores of ECOHIS-4D showed a significant association with the dfs score (β=-0.003, 95%CI=-0.004 to -0.002) in the linear regression models. Utility values form ECOHIS-4D, but not EQ-5D-Y correlated with the dfs (spearman's r=-0.33, 95%CI -0.43 to -0.23). ECOHIS-4D performs better than EQ-5D-Y in assessing young children's oral health-related quality of life.

Colonoscopy Assisted Laparoscopic Wedge Resection for Colonic Lesions: Impact on Quality of LifE: Results from the LIMERIC Study.

The LIMERIC study has proven that colonoscopy-assisted laparoscopic wedge resection effectively and safely removes benign colonic lesions unsuitable for endoscopic removal, thereby avoiding the need for major surgery. To evaluate the impact of colonoscopy-assisted laparoscopic wedge on health-related quality of life of patients who participated in the LIMERIC study. Prospective multicenter study. The LIMERIC study was performed between 2016 and 2020 in 13 Dutch hospitals. EQ-5D-5L questionnaires were administered at baseline and 3 months after the procedure. Patients with incomplete pre- or postoperative questionnaires or those undergoing combined interventions were excluded from the intention-to-treat analysis. Those for whom CAL-WR was not feasible or who underwent completion surgery were excluded from the per-protocol analysis. Colonoscopy-assisted laparoscopic wedge for either (1) colon polyp unsuitable for endoscopic resection; (2) non-lifting residual or recurrent polyp within scar tissue following previous polypectomy; or (3) Rx/R1 endoscopic removal of a low-risk pT1 colon carcinoma. Three-month health-related quality of life. Colonoscopy-assisted laparoscopic wedge did not affect health-related quality of life in the per-protocol analysis (n = 56), or in the intention-to-treat analysis (n = 67). The majority of patients reported no change in health status (57%). No significant differences were observed in the distribution of responses across all 5 dimensions before and after colonoscopy-assisted laparoscopic wedge. Patients' self-rated EQ-VAS was also unaffected by colonoscopy-assisted laparoscopic wedge, with a median VAS score of 82.5 at baseline and 80 after surgery in the per-protocol analysis (p = 0.63). Solely a patient-reported outcome measure evaluating global health-related quality of life was used, rather than one specifically assessing disease-related quality of life, such as the QLQ-CR29. Colonoscopy-assisted laparoscopic wedge has no significant impact on the health-related quality of life in patients with benign colonic lesions and should therefore be considered before major surgery is performed. See Video Abstract.

Association between functional capacity and family functionality with frailty in older adults with cardiovascular risk in southwestern Colombia

The changes associated with aging are multidimensional and multifactorial, with the geriatric syndrome of frailty being its most problematic and complex expression. This syndrome leads to vulnerability, disproportionate changes in health status, and functional decline, making its effective identification and comprehensive management necessary. To describe the sociodemographic, clinical, and functional characteristics of older adults with cardiovascular risk in Southwestern Colombia. This study has an observational, cross-sectional, and analytical design. The selected population included older adults enrolled in a cardiovascular and metabolic risk program in Popayán (Cauca). A multivariate analysis explored the relationship between frailty and certain sociodemographic, clinical, and functional variables. A total of 293 older adults participated, primarily women (69.6%), with an average age of 71.23 years. Among them, 77.1% were classified as independent in basic activities and 56.3% in instrumental activities of daily living, with autonomy being more prevalent among men. Additionally, 71.1% of women and 43.8% of men were classified as prefrail. The bivariate analysis identified a relationship between frailty and variables such as sex, age, marital status, educational level, occupation, calf circumference, functional capacity, instrumental capacity, and family functionality. The multivariate analysis showed a higher frailty/prefrailty prevalence (55%) in women. Most participants were classified as prefrail; dependency and frailty were more prevalent in women, suggesting the need for preventive strategies and interventions from a gender-differentiated approach.

Changes in coverage, access, and health status among adults with cardiovascular disease after medicaid work requirements

Changes in coverage, access, and health status among adults with cardiovascular disease after medicaid work requirements

Changes in Secondary Health Conditions Among Individuals With Spinal Cord Injury After Transition From Inpatient Rehabilitation to Community Living.

The aim of the study is to examine the changes in the burden of secondary health conditions and their risk factors among newly injured individuals with spinal cord injury after discharge from inpatient rehabilitation to community living. This is a prospective cohort study. Among 280 included persons, the majority were men with traumatic spinal cord injury and paraplegia. The most common secondary health conditions at discharge from rehabilitation and in the community setting were pain (60.8% vs. 75.9%), urinary tract infections (27.8% vs. 47.6%), and pressure sores (9.9% vs. 27.5%). There was also a significant increase in reported heart disease (9.3% vs. 14.8%) and diabetes (0% vs. 4.2%). The odds of experiencing pain, pressure sores, depression and urinary tract infections increased after discharge from rehabilitation, whereas the odds of respiratory problems decreased significantly during the observation period. Factors such as sex, injury severity, activity limitations, and duration of follow-up were identified as potential risk factors influencing secondary health condition occurrence. Our study emphasizes a significant rise in secondary health conditions after the transition to community living. Future research should prioritize development of targeted intervention programs tailored to address the unique needs of affected individuals at this pivotal stage in the continuum of spinal cord injury care.

Influence of stressful life events in postpartum mothers on the incidence of postpartum depression

The main objective of the study was to explore and document the influence of the stressful life events experienced by postpartum mothers on the incidence of postpartum depression. A systematic review of literature was performed to examine prior research. All major databases including Google Scholar, Scopus, and Web of Science were used. The search is limited to publications from 2018-2023. The results illustrate the diversity of stressful events which include the experience of miscarriage, labour complications, or sudden changes in the baby's health condition. Thematic analysis revealed that these events played significant roles in triggering or exacerbating postpartum depression, amplifying the emotional complexity and psychological well-being of postpartum mothers. We conclude that there is a need for approaches for designing psychological interventions that can provide timely and contextualized support to postpartum women who experience stressful life events

The impact of gastroesophageal reflux disease on the quality of life of children and adolescents in the Republic of Tyva

Aim of the study was to investigate quality of life indicators in children and adolescents with gastroesophageal reflux disease (GERD) in the Mongoloid and Caucasian populations of the Republic of Tyva. Material and Methods. Schoolchildren aged 7–18 years of the indigenous (25 Mongoloids – Tuvans with GERD and 354 practically healthy) and newcomers population Republic of Tyva (5 Caucasians with GERD and 158 practically healthy) were examined using a cross-sectional method. Gastroenterological complaints and demographic information were recorded. To assess the quality of life of children, adapted Russian parent (CHQ-PF28) and child (CHQ-PF45) versions of the Child Health Questionnaire (CHQ) were used. The questionnaire allows you to assess various areas of a child’s life. Results and discussion. A decrease in the quality of life was established in schoolchildren of both ethnic populations in the presence of GERD on a number of scales as assessed by the children themselves and their parents. However, unlike parents, children’s assessments tended to decrease in the “family cohesion” section (p = 0.068), which, to a certain extent, may reflect the presence of intrafamily problems that can have a traumatic effect on the child. According to parents’ assessments, in schoolchildren with GERD in the Caucasian population, the decrease in indicators concerned only the “physical activity” scale (p = 0.039). In the Tuvan population, more extensive deviations were noted ‒ in sections “general health assessment” (p = 0.041), “physical activity” (p = 0.024), “changes in health status” (p = 0.006), “pain/ discomfort” (p = 0.037). According to the assessment of children, Caucasians with GERD did not show a decrease in indicators, and Tuvans with GERD had fewer deviations on the scales than, according to their parents. Conclusions. Tyva schoolchildren with GERD showed a decrease in quality of life indicators, which was more pronounced among Mongoloids - Tuvans, and there were differences in its assessment by the children themselves and their parents.

Methodological considerations in calculating the minimal clinically important change score for the core outcome measures index (COMI): insights from a large single-centre spine surgery registry.

The Minimal Clinically Important Change (MCIC) is used in conjunction with Patient-Reported Outcome Measures (PROMs) to determine the clinical relevance of changes in health status. MCIC measures a change within the same person or group over time. This study aims to evaluate the variability in computing MCIC for the Core Outcome Measure Index (COMI) using different methods. Data from a spine centre in Switzerland were used to evaluate variations in MCIC for the COMI score. Distribution-based and anchor-based methods (predictive and nonpredictive) were applied. Bayesian bootstrap estimated confidence intervals. From 27,003 cases, 9821 met the inclusion criteria. Distribution-based methods yielded MCIC values from 0.4 to 1.4. Anchor-based methods showed more variability, with MCIC values from 1.5 to 4.9. Predictive anchor-based methods also provided variable MCIC values for improvement (0.3-2.4), with high sensitivity and specificity. MCIC calculation methods produce varying values, emphasizing careful method selection. Distribution-based methods likely measure minimal detectable change, while non-predictive anchor-based methods can yield high MCIC values due to group averaging. Predictive anchor-based methods offer more stable and clinically relevant MCIC values for improvement but are affected by prevalence and reliability corrections.

Automatic telephonic follow up in heart failure by a natural language processing artificial intelligence: pilot program

Abstract Introduction Heart failure (HF) burden on public health is substantial and efficient patient management strategies are needed. Traditional methods of HF monitoring face limitations in scalability and effectiveness. Artificial Intelligence (AI) might offer novel solutions for enhanced resource management and alleviation of healthcare burdens. Purpose To study the feasibility of implementing automatic remote monitoring via phone calls operated by AI in a HF unit. Methods We conducted a non-randomized, open, pilot trial employing an AI technology based on natural language processing for autonomous telephone outreach for the follow up of HF patients. 86 patients from a tertiary hospital HF unit undergoing pharmacological titration and education were enrolled. The AI conducted weekly calls to gather symptomatology, vital signs, and health status changes, which were then displayed on a virtual platform featuring alerts preconfigured by the research team. These alerts guided patient communication and intervention as deemed necessary by a specialized nurse. Results Characteristics of patients are shown in Table 1. The AI followed these patients for a median of 251.5 days. 2773 telephonic calls were performed. We estimate an equivalent to 1445h of work (17.2 days/month). Adherence was high during the study, with 98% of the calls completed. 1427 alerts were generated, being the most frequent weight change (251; 17.6%), orthopnea (220; 15.4%) and fatigue (187; 13.1%). It led to 487 remote interventions, most of them consisting in calling the patient for assessment (409; 84.0%), but also in adjusting medication remotely (34; 7.0%). See Figure 2. A HF telemedicine specialized nurse required 205min per week for alert review, 2.38min/patient-week. 2 patients died, one from cardiovascular causes, and 7 patients had a HF hospitalization, 42.9% with previous alarms. 20 events of worsening HF were recorded, comprising hospitalization, emergency visit or IV diuretic administration. Oral diuretic dose was increased in 22 occasions, 15 of them remotely in response to an alert raised by the AI operator. At 6 months functional class globally improved (p = 0.028), but NTproBNP increased (p=0.0472). Quality of life was evaluated at baseline and at 6 months, with no change in EQ5D5L (median 0.717, change -0.005, p 0.71) or PHQ4 (median 2.88, change -0.29, p 0.7792), but KCCQ12 total score worsened (median 74.49, change -2.32, p 0.048). Experience was rated with 8.97/10 in a satisfaction questionnaire. All patients recommended the program, remarking a closer follow up, better communication and a safety feeling. Conclusions AI enables closer monitoring of patients with HF, maintaining contact with stable patients while also allowing for resource allocation and tracking of higher-risk patients or those experiencing changes in symptoms. A randomized clinical trial comparing to standard follow-up is needed to evaluate this promising technology.Table 1Figure 2

Gender and Education Differences in Mental Health in Belgium: a Bayesian Age-Period-Cohort Analysis

Abstract Background Mental illnesses (MI) constitute a growing public health problem, with reports of a higher prevalence among middle-aged adults (age effect), during specific periods such as economic crisis (period effect) and in recent birth cohorts (cohort effect). However, few studies have assessed whether these age-period-cohort (APC) effects were related to general population trends or if they are driven by changes in the mental health status of more vulnerable groups. Therefore, this study aimed to assess gender and educational differences underlying observed APC effects in the prevalence of MI in the Belgian adult population. Methods This study used data from six cross-sectional waves of the Belgian Health Interview Survey (1997-2018, ∼ 10,000 respondents per wave). Mental health was assessed using the 12-item General Health Questionnaire. Bayesian hierarchical APC models were applied on the prevalence of MI, taking into account gender and educational differences, as well as some potential confounding factors. Results Overall, this study confirmed the higher prevalence of MI in middle-aged adult, in 2013, and in more recent birth cohorts (1980-2000). Accounting for the interaction between gender and education, we found that the MI educational gradient was more pronounced for women than men. Finally, we found that APC trends were different between gender. The odds of having MI tended to be stable across age groups for women, while men showed an increased odds between 50-60 years and a decrease between 60-65 years. Regarding period and cohort effects, the increase odds in 2013 was mainly present in men, while the increase in recent birth cohorts was mainly present in women. Conclusions This study emphasizes that the age-period-cohort effects on mental health are different depending on gender and education, thus enriching our understanding on the underlying mechanisms to better guide future public (mental) health policies. Key messages • This study shows the importance of studying not only the overall trends in mental illness, but also the underlying differences in its distribution. • Insights into gender and educational differences in Age-Period-Cohort effects on mental health is crucial for the development of timely and efficient public health interventions.

Changes in mental health and illness perception in patients with hypertrophic cardiomyopathy referred to hybrid cardiac telerehabilitation in comparison to usual care - a randomised-control trial

Abstract Purpose Hypertrophic cardiomyopathy (HCM) is a complex cardiac disorder, that influences patients' physical capacity and quality of life, as well as the risk of sudden cardiac death (SCD). Patients with HCM often experience emotional distress due to the uncertainty of their condition and have a threatening illness perception (the way individuals make sense of their illness, which can have a significant impact on adherence to treatment). Current studies suggest that some HCM patients could benefit from hybrid cardiac telerehabilitation (HCTR) in terms of somatic and psychological status. This study is part of a research project investigating the safety and effectiveness of hybrid cardiac telerehabilitation for HCM patients. The specific focus of this part is to evaluate the changes in mental health status and illness perception of HCM patients who have been referred for cardiac telerehabilitation compared to those receiving usual care. Methods An RCT study was conducted, with the inclusion criteria for the study of being above 18 y.o., HCM without LVOT obstruction, NYHA Class II or III, LVEF ≥ 50%, and having CIED. The study involved telerehabilitation (HCTR) and control (CG) groups. Both groups were completing questionnaires assessing illness perception (Brief IPQ) and overall psychosocial distress (GHQ-28) with its 4 domains: somatic symptoms, anxiety, social impairment, and depression. Psychological assessment was performed at the beginning and at the end of telerehabilitation/outpatient care, and at 3, 6 and 12 months after the end of care (T1/T2/T3/T4/T5). Results There was a significant improvement in the overall distress level in the HCTR group (p=0.003) but not in the CG (p=0.559). It remained significant in the HCTR group for the T2 (p<0.001), T3 (p=0.008), and T4 (p<0.001). The positive change was observed in somatic symptoms only in the HCTR group: for T2 (p=0.025) and T3 (p=0.032) compared to the T1. The gradual decrease in anxiety level was observed in the HCTR group, but not in the CG, with a significant difference for T4 (p=0.013) compared to T1. Although there was an improvement in social impairment in both groups (p=0.049 for the CG, and p=0<0.001 for the HCTR group), only in the HCTR group it held a stable pattern after the intervention (p<0.001 for T2; p=0.013 for T3; p=0.032 for T4). There were no changes in the level of depressive symptoms in either of the compared groups. There were also no significant differences in the illness perception (p=0.200 for the HCTR group and p=0.090 for the CG), although the HCTR group showed short-term improvement after three months of HCTR (T2) (p=0.032). Conclusions There are significant benefits of hybrid cardiac telerehabilitation for mental health, level of distress, and illness perception in HCM patients. It is worth noticing that this improvement is short-term, and prolonged effects might require providing additional support during extended care.overall distress in HCTR vs CGsubscales of GHQ_28 in HCTR vs CG

Telemedicine as a tool for bridging geographical inequity: insights in geospatial interactions from a study on chronic heart failure patients

IntroductionChronic heart failure patients experience large disparities in quality of and access to treatment, with rural populations receiving lower levels of care. Telemonitoring of patients is increasingly being used as an important tool for improving patient management and care and might reduce geographical inequities in healthcare.MethodsWe investigate the presence and magnitude of a geospatial interaction effect on the health benefit of a supplementary telemedicine intervention, by analyzing the relationship between distance to regular place of treatment and the benefit of telemedicine in a secondary analysis of data from a previously conducted RCT. We use change in EQ5D health status, SF-36 Physical component score and SF-36 Mental component score as the outcomes. In the unadjusted analysis, intervention group and distance group and the interaction term are included as the independent variables, in the adjusted analysis, multiple socioeconomic and health related variables are included to account for potential confounders.ResultsWe find evidence of a significant interaction between the effects of telemedicine and long distance to treatment for change in EQ5D health status (unadjusted: p = 0.016, adjusted p = 0.009) and unadjusted but not adjusted mental component score (unadjusted: p = 0.013, adjusted p = 0.0728), for the change in physical component score the interaction term was not significant (unadjusted: p = 0.118, adjusted p = 0.092).ConclusionIn our study we find that supplementary telemedicine is likely to reduce the health access inequities associated with geographical distance for chronic heart failure patients. However, our sample size was modest and further research is needed to confirm these findings.

Inside CKD: a microsimulation modelling study projects the clinical and economic burden of chronic kidney disease in Hungary.

The Inside CKD programme implemented a microsimulation modelling approach to project the clinical and economic burden of chronic kidney disease (CKD) between 2024 and 2027 in Hungary. Using the peer-reviewed Inside CKD microsimulation, a virtual Hungarian population was generated that was derived from national records, local demographic data and published epidemiological data. These inputs defined the likelihood of a change in health state for each individual as they progressed through the model in annual increments. Individual CKD status, including disease progression, cardiorenal complications and associated costs, was tracked annually to generate the population-level projections of the clinical and economic burden of CKD. By 2027, people with CKD were projected to constitute 13.3% of the Hungarian national population. The prevalence of heart failure, myocardial infarction and stroke in people with CKD were projected to remain consistently high, reaching 323 447, 69 188 and 120 118 by 2027, respectively. Kidney replacement therapy cases were predicted to remain high at 20 515 in 2024 and 22 325 in 2027, with associated costs increasing from 71.4 billion HUF in 2024 to 79.6 billion HUF in 2027. Total annual healthcare costs associated with treating CKD were projected to constitute 5.4% of the overall national healthcare budget in 2027. Inside CKD demonstrates that the future burden of CKD in Hungary will be substantial unless current management strategies change. The high prevalence of undiagnosed CKD and associated cardiorenal complications highlight the urgent need for policy interventions focused on early diagnosis and timely intervention to mitigate the future burden of CKD.

AI Survival Prediction Modeling: The Importance of Considering Treatments and Changes in Health Status over Time

Background and objectives: Deep learning (DL)-based models for predicting the survival of patients with local stages of breast cancer only use time-fixed covariates, i.e., patient and cancer data at the time of diagnosis. These predictions are inherently error-prone because they do not consider time-varying events that occur after initial diagnosis. Our objective is to improve the predictive modeling of survival of patients with localized breast cancer to consider both time-fixed and time-varying events; thus, we take into account the progression of a patient’s health status over time. Methods: We extended four DL-based predictive survival models (DeepSurv, DeepHit, Nnet-survival, and Cox-Time) that deal with right-censored time-to-event data to consider not only a patient’s time-fixed covariates (patient and cancer data at diagnosis) but also a patient’s time-varying covariates (e.g., treatments, comorbidities, progressive age, frailty index, adverse events from treatment). We utilized, as our study data, the SEER-Medicare linked dataset from 1991 to 2016 to study a population of women diagnosed with stage I–III breast cancer (BC) enrolled in Medicare at 65 years or older as qualified by age. We delineated time-fixed variables recorded at the time of diagnosis, including age, race, marital status, breast cancer stage, tumor grade, laterality, estrogen receptor (ER), progesterone receptor (PR), and human epidermal receptor 2 (HER2) status, and comorbidity index. We analyzed six distinct prognostic categories, cancer stages I–III BC, and each stage’s ER/PR+ or ER/PR− status. At each visit, we delineated the time-varying covariates of administered treatments, induced adverse events, comorbidity index, and age. We predicted the survival of three hypothetical patients to demonstrate the model’s utility. Main Outcomes and Measures: The primary outcomes of the modeling were the measures of the model’s prediction error, as measured by the concordance index, the most commonly applied evaluation metric in survival analysis, and the integrated Brier score, a metric of the model’s discrimination and calibration. Results: The proposed extended patients’ covariates that include both time-fixed and time-varying covariates significantly improved the deep learning models’ prediction error and the discrimination and calibration of a model’s estimates. The prediction of the four DL models using time-fixed covariates in six different prognostic categories all resulted in approximately a 30% error in all six categories. When applying the proposed extension to include time-varying covariates, the accuracy of all four predictive models improved significantly, with the error decreasing to approximately 10%. The models’ predictive accuracy was independent of the differing published survival predictions from time-fixed covariates in the six prognostic categories. We demonstrate the utility of the model in three hypothetical patients with unique patient, cancer, and treatment variables. The model predicted survival based on the patient’s individual time-fixed and time-varying features, which varied considerably from Social Security age-based, and stage and race-based breast cancer survival predictions. Conclusions: The predictive modeling of the survival of patients with early-stage breast cancer using DL models has a prediction error of around 30% when considering only time-fixed covariates at the time of diagnosis and decreases to values under 10% when time-varying covariates are added as input to the models, regardless of the prognostic category of the patient groups. These models can be used to predict individual patients’ survival probabilities based on their unique repertoire of time-fixed and time-varying features. They will provide guidance for patients and their caregivers to assist in decision making.

Characterizing the progression from mild cognitive impairment to dementia: a network analysis of longitudinal clinical visits

BackgroundWith the recent surge in the utilization of electronic health records for cognitive decline, the research community has turned its attention to conducting fine-grained analyses of dementia onset using advanced techniques. Previous works have mostly focused on machine learning-based prediction of dementia, lacking the analysis of dementia progression and its associations with risk factors over time. The black box nature of machine learning models has also raised concerns regarding their uncertainty and safety in decision making, particularly in sensitive domains like healthcare.ObjectiveWe aimed to characterize the progression of health conditions, such as chronic diseases and neuropsychiatric symptoms, of the participants in Mayo Clinic Study of Aging (MCSA) from initial mild cognitive impairment (MCI) diagnosis to dementia onset through network analysis.MethodsWe used the data from the MCSA, a prospective population-based cohort study of cognitive aging, and examined the changing association among variables (i.e., participants’ health conditions) from the first visit of MCI diagnosis to the visit of dementia onset using network analysis. The number of participants for this study are 97 with the number of visits ranging from 2 visits (30 months) to 7 visits (105 months). We identified the network communities among variables from three-fold collection of instances: (i) the first MCI diagnosis, (ii) progression to dementia, and (iii) dementia diagnosis. We determine the variables that play a significant role in the dementia onset, aiming to identify and prioritize specific variables that prominently contribute towards developing dementia. In addition, we explore the sex-specific impact of variables in relation to dementia, aiming to investigate potential differences in the influence of certain variables on dementia onset between males and females.ResultsWe found correlation among certain variables, such as neuropsychiatric symptoms and chronic conditions, throughout the progression from MCI to dementia. Our findings, based on patterns and changing variables within specific communities, reveal notable insights about the time-lapse before dementia sets in, and the significance of progression of correlated variables contributing towards dementia onset. We also observed more changes due to certain variables, such as cognitive and functional scores, in the network communities for the people who progressed to dementia compared to those who does not. Most changes for sex-specific analysis are observed in clinical dementia rating and functional activities questionnaire during MCI onset are followed by chronic diseases, and then by NPI-Q scores.ConclusionsNetwork analysis has shown promising potential to capture significant longitudinal changes in health conditions, spanning from the MCI diagnosis to dementia progression. It can serve as a valuable analytic approach for monitoring the health status of individuals in cognitive impairment assessment. Furthermore, our findings indicate a notable sex difference in the impact of specific health conditions on the progression of dementia.

The impact of Scotland's minimum unit pricing for alcohol policy on people accessing services for alcohol dependence: A difference-in-difference structured interview study.

A minimum unit price (MUP) for alcohol of £0.50 per unit (1 UK unit = 10 mL/8 g alcohol) was introduced in Scotland in May 2018. Few previous studies have examined the impact of alcohol pricing policies on people who are alcohol dependent. This study aimed to evaluate the effect of MUP on people who are alcohol dependent including changes in alcohol consumption and health status, as well as potential unintended consequences. Three waves of cross-sectional data were collected in Scotland (intervention) and Northern England (control) at 0-6 months pre-implementation then 3-9 months and 18-22 months post-implementation. The sample was N = 706 people receiving treatment related to their alcohol use. We collected structured interview data including recent drinking information via a 7-day timeline-follow-back drinking diary. Difference-in-difference analyses estimated change in indicators in Scotland compared to England at both post-implementation timepoints. The proportion of participants consuming alcohol costing on average <£0.50 per unit in Scotland decreased from 60.6% at 0-6 months prior to MUP implementation to 6.3% at 3-9 months post-implementation (p < 0.0004). There was no significant change in the indicators for alcohol consumption, severity of dependence, health status, other substance use, deprivation level or parenting. The introduction of MUP in Scotland was associated with increases in the prices paid for alcohol by people with dependence and presenting to treatment services. There was no evidence of changes in their alcohol consumption or health status. There was also no evidence of harmful unintended consequences for this population.

Psychiatric Comorbidities in Women with Complete Androgen Insensitivity Syndrome or Müllerian Aplasia/Agenesis.

Understanding mental health issues facing individuals with disorders/differences of sex development (DSD) is crucial for optimizing evidence-based practices in this population. To compare the prevalence of psychiatric diagnoses among patients diagnosed with complete androgen insensitivity syndrome (CAIS) or Müllerian duct aplasia/agenesis (MA) to male and female reference groups. Retrospective cohort study. Three large integrated health systems. All individuals with confirmed CAIS or MA enrolled in one of three Kaiser Permanente healthcare systems between January 1, 1988, and January 31, 2017. For each DSD patient, age-, race/ethnicity- and health system-matched male and female referents with typical sex development were randomly selected. Mental health diagnoses and use of psychiatric medications. The prevalence of anxiety and depressive disorders in the CAIS and MA cohorts was approximately twice as high as in male referents without DSD, but the corresponding differences relative to female referents were less evident. A subgroup of MA patients with uterine agenesis had higher prevalence of bipolar disorder than either reference group, but these results were accompanied by wide confidence intervals. Women with CAIS and MA more frequently filled psychiatric medications compared to male but not female referents. On balance, these findings are reassuring, albeit requiring confirmation in other settings. Future studies using longitudinal designs and patient-reported outcomes are needed to evaluate changes in mental health status of CAIS and MA patients at different ages and different intervals following initial diagnosis.

Health status of individuals with polyhandicap across a 5-year follow-up period

The present longitudinal study examined a large sample of individuals with PIMD/Polyhandicap to: (i) describe the evolution over time of the health status in terms of severity, (ii) identify the potential predictors of health status change. This study used the data of the French national EVAL-PLH cohort. Inclusion criteria were: individuals with PIMD/Polyhandicap; age > 3 years at the time of inclusion; age at onset of cerebral lesion younger than 3 years old. The definition of the change in health status over the 5-year period was derived from the Polyhandicap Severity Scale. Among the 875 individuals included in 2015–2016, 492 (56.2%) individuals were assessed in 2020–2021. According to the definition, 68.8% (n = 309), 64.7% (n = 310), and 80.2% (n = 368) of the individuals presented with a worsened or stable severity status based on the global score, the abilities score, and the comorbidities score, respectively. Compared with the individuals with a non-worsened health status (global score), the individuals with a stable or worsened health status were more likely to receive care in specialized rehabilitation centres, more likely to have an antenatal or progressive aetiology, and more likely to have a higher dependency level. The current study provides a robust perspective of the worsened health among persons with PIMD/Polyhandicap over time.

How Much Better is Faster? Empirical Tests of QALY Assumptions in Health-Outcome Sequences.

This study was designed to test hypotheses regarding the path dependence of health-outcome values in the form of linear additivity of health-state utilities and diminishing marginal utility of health outcomes. We employed a discrete-choice experiment to quantify patient treatment preferences for major depressive disorder. In a series of choice questions, participants evaluated seven symptom-improvement sequences and out-of-pocket costs over 6-week durations. Money-equivalent values were derived from a deductive latent-class mixed-logit analysis. The discrete-choice experiment was completed by 751 respondents with self-reported major depressive disorder recruited from an online commercial panel. The class-membership probability was 0.83 for latent-class preferences consistent with supporting relative importance weights for all symptom-improvement sequences in the study design. First, we found strong support for diminishing marginal utility in symptom-improvement sequences. The money-equivalent value of an initial week of normal mood was $147 (95% confidence interval: $128, $166) and a second week of normal mood was $70 ($49, $91). Furthermore, for short treatment durations where conventional discounting was not a factor, equivalent changes in health status were valued more highly for an earlier onset of effect: holding subsequent symptom patterns constant, $338 (211, 454) versus $70 (49, 91) for improvements starting in week 2 versus week 3 and $147 ($128, $166) versus $29 (-$4, $64) for improvements starting in week 3 versus week 4. Our findings imply that conventional quality-adjusted life-year calculations in which health values are assumed to be path independent can understate the value of health improvements that appear earlier in a sequence.