Dataset Information

Problem-Solving Treatment for People Recently Diagnosed with Visual Impairment: Pilot Randomised Controlled Trial.

ABSTRACT:

Background

Problem-Solving Treatment (PST) has been used to treat and prevent depression in a variety of settings. However, the impact of PST on improving psychological well-being in those with recent vision loss remains unknown. The aim of this study was to evaluate whether PST may lead to better psychological well-being in people with recent vision loss through a pilot parallel-group randomised controlled trial.

Methods

Participants who were diagnosed with visual impairment during the previous 3 months were randomly allocated to either an 8-week PST or treatment as usual (N = 61). Outcome measures were administered at baseline, 3, 6, and 9-months.

Results

A linear mixed model demonstrated that PST significantly improved psychological well-being (measured by the Warwick Edinburgh Mental Well-being Scale) (treatment effect = 2.44; 95% CI = 0.40-4.47; p = 0.019). Significant improvements in the PST group for symptoms of distress, quality of life and self-efficacy were also observed. There was no significant difference in mobility. The treatment effect was consistent at all follow-ups. Attrition rate was low (13%).

Conclusions

PST was associated with a significant and sustained improvement in a range of outcomes in people with recent vision loss. Further large scale RCT is now required.

SUBMITTER: Riazi A

PROVIDER: S-EPMC9504279 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Problem-Solving Treatment for People Recently Diagnosed with Visual Impairment: Pilot Randomised Controlled Trial.

Riazi Afsane A Aspden Trefor T Rubin Gary G Ambler Gareth G Jichi Fatima F Mynors-Wallice Laurence L O'Driscoll Miriam M Walters Kate K

Journal of personalized medicine 20220831 9

<h4>Background</h4>Problem-Solving Treatment (PST) has been used to treat and prevent depression in a variety of settings. However, the impact of PST on improving psychological well-being in those with recent vision loss remains unknown. The aim of this study was to evaluate whether PST may lead to better psychological well-being in people with recent vision loss through a pilot parallel-group randomised controlled trial.<h4>Methods</h4>Participants who were diagnosed with visual impairment duri ...[more]

PMID: 36143215

Similar Datasets

Project description:BackgroundPeople who present to hospital after intentionally harming themselves pose a common and important problem. Previous reviews of interventions have been inconclusive as existing trials have been under powered and done on unrepresentative populations. These reviews have however indicated that problem solving therapy and regular written communications after the self-harm attempt may be an effective treatment. This protocol describes a large pragmatic trial of a package of measures which include problem solving therapy, regular written communication, patient support, cultural assessment, improved access to primary care and a risk management strategy in people who present to hospital after self-harm using a novel design.MethodsWe propose to use a double consent Zelen design where participants are randomised prior to giving consent to enroll a large representative cohort of patients. The main outcome will be hospital attendance following repetition of self-harm, in the 12 months after recruitment with secondary outcomes of self reported self-harm, hopelessness, anxiety, depression, quality of life, social function and hospital use at three months and one year.DiscussionA strength of the study is that it is a pragmatic trial which aims to recruit large numbers and does not exclude people if English is not their first language. A potential limitation is the analysis of the results which is complex and may underestimate any effect if a large number of people refuse their consent in the group randomised to problem solving therapy as they will effectively cross over to the treatment as usual group. However the primary analysis is a true intention to treat analysis of everyone randomised which includes both those who consent and do not consent to participate in the study. This provides information about how the intervention will work in practice in a representative population which is a major advance in this study compared to what has been done before.Trial registrationAustralia and New Zealand Clinical Trials Register (ANZCTR): ACTRN12609000641291.

Project description:Aims/hypothesisThe aim of this study was to assess whether or not a theory-based behaviour change intervention delivered by trained and quality-assured lifestyle facilitators can achieve and maintain improvements in physical activity, dietary change, medication adherence and smoking cessation in people with recently diagnosed type 2 diabetes.MethodsAn explanatory randomised controlled trial was conducted in 34 general practices in Eastern England (Anglo-Danish-Dutch Study of Intensive Treatment in People with Screen Detected Diabetes in Primary Care-Plus [ADDITION-Plus]). In all, 478 patients meeting eligibility criteria (age 40 to 69 years with recently diagnosed screen or clinically detected diabetes) were individually randomised to receive either intensive treatment (n = 239) or intensive treatment plus a theory-based behaviour change intervention led by a facilitator external to the general practice team (n = 239). Randomisation was central and independent using a partial minimisation procedure to balance stratifiers between treatment arms. Facilitators taught patients skills to facilitate change in and maintenance of key health behaviours, including goal setting, self-monitoring and building habits. Primary outcomes included physical activity energy expenditure (individually calibrated heart rate monitoring and movement sensing), change in objectively measured fruit and vegetable intake (plasma vitamin C), medication adherence (plasma drug levels) and smoking status (plasma cotinine levels) at 1 year. Measurements, data entry and laboratory analysis were conducted with staff unaware of participants' study group allocation.ResultsOf 475 participants still alive, 444 (93%; intervention group 95%, comparison group 92%) attended 1-year follow-up. There were no significant differences between groups in physical activity (difference: +1.50 kJ kg(-1) day(-1); 95% CI -1.74, 4.74), plasma vitamin C (difference: -3.84 μmol/l; 95% CI -8.07, 0.38), smoking (OR 1.37; 95% CI 0.77, 2.43) and plasma drug levels (difference in metformin levels: -119.5 μmol/l; 95% CI -335.0, 95.9). Cardiovascular risk factors and self-reported behaviour improved in both groups with no significant differences between groups.Conclusions/interpretationFor patients with recently diagnosed type 2 diabetes receiving intensive treatment in UK primary care, a facilitator-led individually tailored behaviour change intervention did not improve objectively measured health behaviours or cardiovascular risk factors over 1 year.Trial registrationISRCTN99175498 FUNDING: The trial is supported by the Medical Research Council, the Wellcome Trust, National Health Service R&D support funding (including the Primary Care Research and Diabetes Research Networks) and National Institute of Health Research under its Programme Grants for Applied Research scheme. The Primary Care Unit is supported by NIHR Research funds. Bio-Rad provided equipment for HbA1c testing during the screening phase.

Project description:In this paper we argue that a synthesis of findings across the various sub-areas of research in complex problem solving and consequently progress in theory building is hampered by an insufficient differentiation of complexity and difficulty. In the proposed framework of person, task, and situation (PTS), complexity is conceptualized as a quality that is determined by the cognitive demands that the characteristics of the task and the situation impose. Difficulty represents the quantifiable level of a person's success in dealing with such demands. We use the well-documented "semantic effect" as an exemplar for testing some of the conceptual assumptions derived from the PTS framework. We demonstrate how a differentiation between complexity and difficulty can help take beyond a potentially too narrowly defined psychometric perspective and subsequently gain a better understanding of the cognitive mechanisms behind this effect. In an empirical study a total of 240 university students were randomly allocated to one of four conditions. The four conditions resulted from contrasting the semanticity level of the variable labels used in the CPS system (high vs. low) and two instruction conditions for how to explore the CPS system's causal structure (starting with the assumption that all relationships between variables existed vs. starting with the assumption that none of the relationships existed). The variation in the instruction aimed at inducing knowledge acquisition processes of either (1) systematic elimination of presumptions, or (2) systematic compilation of a mental representation of the causal structure underpinning the system. Results indicate that (a) it is more complex to adopt a "blank slate" perspective under high semanticity as it requires processes of inhibiting prior assumptions, and (b) it seems more difficult to employ a systematic heuristic when testing against presumptions. In combination, situational characteristics, such as the semanticity of variable labels, have the potential to trigger qualitatively different tasks. Failing to differentiate between 'task' and 'situation' as independent sources of complexity and treating complexity and difficulty synonymously threaten the validity of performance scores obtained in CPS research.

Dataset Information

Problem-Solving Treatment for People Recently Diagnosed with Visual Impairment: Pilot Randomised Controlled Trial.

Background

Methods

Results

Conclusions

Publications

Problem-Solving Treatment for People Recently Diagnosed with Visual Impairment: Pilot Randomised Controlled Trial.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets