Introduction of Technology to Support Young People's Care and Mental Health-A Rapid Evidence Review.

Background: Technology and its use within mental health services has advanced dramatically over recent years. Opportunities for mental health services to utilise technology to introduce novel, effective, and more efficient means of delivering assessment, and treatment are increasing. Objective: The current rapid-evidence paper reviews evidence regarding the introduction of novel technology to support young people's mental health and psychological well-being. Methods: A rapid evidence review was conducted. PSYCHINFO and CINAHL were searched for research articles between 2016 and 2021 that were specific to young people, mental health, and technology developments within this domain. N = 27 studies which explored the introduction, feasibility, and value of technology for mental health purposes were included in a narrative synthesis. Quality or risk of bias analyses were not completed. Results: Overall, technological advancements in young people's care were considered positive and engaging for young people. Factors including resources, efficiency of care, engagement, therapeutic effectiveness, ethical considerations, therapeutic alliance, and flexibility were considered within this review. Nevertheless, potential barriers include clinician concerns, socioeconomic factors, and motivation. Conclusion: Effective and sustained use of technology within young people's mental health services will depend on the technology's usability, efficiency, and ability to engage young people. This paper expands on existing research by reviewing a broader range of technology proposed to support young people's mental health and well-being. This will assist in the application of novel technological advancements by indicating effectiveness, preferences, potential barriers, and recommendations for the feasibility and efficacy of introducing technology into young people's services.

The Michigan Risk Score to predict peripherally inserted central catheter-associated thrombosis.

Essentials How best to quantify thrombosis risk with peripherally inserted central catheters (PICC) is unknown. Data from a registry were used to develop the Michigan Risk Score (MRS) for PICC thrombosis. Five risk factors were associated with PICC thrombosis and used to develop a risk score. MRS was predictive of the risk of PICC thrombosis and can be useful in clinical practice. SUMMARY: Background Peripherally inserted central catheters (PICCs) are associated with upper extremity deep vein thrombosis (DVT). We developed a score to predict risk of PICC-related thrombosis. Methods Using data from the Michigan Hospital Medicine Safety Consortium, image-confirmed upper-extremity DVT cases were identified. A logistic, mixed-effects model with hospital-specific random intercepts was used to identify factors associated with PICC-DVT. Points were assigned to each predictor, stratifying patients into four classes of risk. Internal validation was performed by bootstrapping with assessment of calibration and discrimination of the model. Results Of 23 010 patients who received PICCs, 475 (2.1%) developed symptomatic PICC-DVT. Risk factors associated with PICC-DVT included: history of DVT; multi-lumen PICC; active cancer; presence of another CVC when the PICC was placed; and white blood cell count greater than 12 000. Four risk classes were created based on thrombosis risk. Thrombosis rates were 0.9% for class I, 1.6% for class II, 2.7% for class III and 4.7% for class IV, with marginal predicted probabilities of 0.9% (0.7, 1.2), 1.5% (1.2, 1.9), 2.6% (2.2, 3.0) and 4.5% (3.7, 5.4) for classes I, II, III, and IV, respectively. The risk classification rule was strongly associated with PICC-DVT, with odds ratios of 1.68 (95% CI, 1.19, 2.37), 2.90 (95% CI, 2.09, 4.01) and 5.20 (95% CI, 3.65, 7.42) for risk classes II, III and IV vs. risk class I, respectively. Conclusion The Michigan PICC-DVT Risk Score offers a novel way to estimate risk of DVT associated with PICCs and can help inform appropriateness of PICC insertion.

Improving efficiency in clinical trials using auxiliary information: Application of a multi-state cure model.

In clinical trials, an intermediate marker measured after randomization can often provide early information about the treatment effect on the final outcome of interest. We explore the use of recurrence time as an auxiliary variable for estimating the treatment effect on overall survival in phase three randomized trials of colon cancer. A multi-state model with an incorporated cured fraction for recurrence is used to jointly model time to recurrence and time to death. We explore different ways in which the information about recurrence time and the assumptions in the model can lead to improved efficiency. Estimates of overall survival and disease-free survival can be derived directly from the model with efficiency gains obtained as compared to Kaplan-Meier estimates. Alternatively, efficiency gains can be achieved by using the model in a weaker way in a multiple imputation procedure, which imputes death times for censored subjects. By using the joint model, recurrence is used as an auxiliary variable in predicting survival times. We demonstrate the potential use of the proposed methods in shortening the length of a trial and reducing sample sizes.

Multi-state models for colon cancer recurrence and death with a cured fraction.

In cancer clinical trials, patients often experience a recurrence of disease prior to the outcome of interest, overall survival. Additionally, for many cancers, there is a cured fraction of the population who will never experience a recurrence. There is often interest in how different covariates affect the probability of being cured of disease and the time to recurrence, time to death, and time to death after recurrence. We propose a multi-state Markov model with an incorporated cured fraction to jointly model recurrence and death in colon cancer. A Bayesian estimation strategy is used to obtain parameter estimates. The model can be used to assess how individual covariates affect the probability of being cured and each of the transition rates. Checks for the adequacy of the model fit and for the functional forms of covariates are explored. The methods are applied to data from 12 randomized trials in colon cancer, where we show common effects of specific covariates across the trials.

Mapping patients' experiences after stroke onto a patient-focused intervention framework.

BACKGROUND: Stroke patients' involvement in the rehabilitation process including decision making has made significant advances clinically over the past two decades. However, development of patient-focused interventions in stroke rehabilitation is a relatively under developed area of research. The aim of this study was to interpret the explanations that patients gave of their experience after stroke and how these may validate an already established patient-focused intervention framework - the Quest for quality and improved performance (QQUIP) (2006) that includes seven quality improvement goals. METHODS: A random purposive sample of eight stroke patients was interviewed between 3 and 6 months following discharge. Patients' reports of their experience after stroke were obtained using in-dept semi-structured interviews and analysed using Qualitative Content Analysis. RESULTS: Explanations given by patients included both positive and negative reports of the stroke experience. Regardless of consequences as a result of physical, psychological and social impairments, there were other life style disruptions that were reported by all patients such as taking new medication and adverse effects of these, experiencing increasing fatigue, difficulties with social activities and situations and having to make changes in health behaviours and lifestyle. Some of the core themes that emerged reflected the aims of QQUIP improvement goals that include improving health literacy, clinical decision-making, self-care, patient safety, access to health advice, care experience and service development. DISCUSSION: Further recommendations based on the findings from this study would be to consider using the QQUIP framework for developing intervention studies in stroke rehabilitation care that are person-centred. This framework provides a template that is equipped to address some of the main concerns that people have following the experience of stroke and also focuses on improving quality of care.

Positive and negative life changes following sexual assault.

A longitudinal study was conducted to investigate (a) the timing and course of posttraumatic growth and (b) the relations between positive and negative life changes and posttraumatic distress among recent female sexual assault survivors (N = 171). Most survivors reported positive change even at 2 weeks postassault. Positive changes generally increased over time and negative changes decreased, although change in different domains followed different courses and there was significant individual variability in change patterns. Both positive and negative changes were associated with distress in expected ways, although the relations with negative changes were stronger. The least distress at 12 months was reported by those who noted positive life changes at both 2 weeks and 12 months postassault. Implications for theory and research on posttraumatic growth are discussed.