Loneliness in mid-life and older adults from ethnic minority communities in England and Wales: measure validation and prevalence estimates

We investigated the prevalence of loneliness among 1206 adults aged 40 + from six minority communities in England and Wales: Black Caribbean, Black African, Indian, Pakistani, Bangladeshi and Chinese. Replicating the approach from the previous studies, we demonstrate robust acceptability, reliability and validity for both the six-item De Jong Gierveld (DJG) and single-item loneliness scales in our six ethnic groups. The prevalence of loneliness using a single-item question (loneliness reported as often/always) ranges from 5% (Indian) to 14% (Chinese) compared with approximately 5% for the general population aged 40 + in Britain. Levels of loneliness are very much higher using the DJG scale. Using a loneliness threshold score of 5 +, the percentage ranged from 13% (Indian) to 36% (Chinese). We explored the importance of six established loneliness vulnerability factors for our sample using regression modelling. Three factors were not associated with loneliness-number of children, gender and health rating, and three factors were protective: younger age, being married and low financial strain. The addition of ethnicity did not change these relationships or enhance statistical power of our models. Being a member of the African Caribbean group was protective against loneliness but not for the other groups included in our study. We suggest that exposure to loneliness vulnerability factors rather than ethnicity per se or measurement artefact underpins differences in loneliness across ethnic groups.

Health and social care practitioners' understanding of the problems of people with dementia-related visual processing impairment

It has been highlighted that health and social care staff need a greater awareness of the needs and problems of those people with young onset dementia in the UK. Symptoms of Alzheimer's disease are relatively well known (memory loss, disorientation, language difficulties and behavioural problems). However, there is less awareness of dementia-related visual processing impairments in Alzheimer's disease, Dementia with Lewy Bodies or rarer dementia syndromes such as posterior cortical atrophy (PCA), leading to delayed assessment, diagnosis and management. This qualitative study explored health and social care practitioners' opinions of the needs of people with dementia-related visual processing impairment (such as individuals with PCA) and identify any training that these practitioners might need. Social workers, occupational therapists, care home staff, rehabilitation workers (visual impairment), optometrists and admiral nurses participated in focus groups or one-to-one semi-structured interviews. All participants were shown video clips of people with dementia-related visual impairment to facilitate discussion. Sixty-one participants took part in focus groups or interviews between November 2014 and December 2015. Participants' experiences and understanding of dementia were explored and thematic analysis of the data identified two major themes. Theme 1 explores participants' understanding of dementia-related visual impairments. Theme 2 recounts how participants address and support people with dementia-related visual impairment and their families. Participants discussed, reflected and critically analysed the video clips during data collection. Most considered new perspectives of their own clients' difficulties and those participants working with people with rarer dementias consolidated their experiences. However, some participants seemed hesitant to accept the existence of visual processing impairment arising due to dementia, rationalising novel information to existing understanding of memory loss or behavioural problems. This study highlights that health and social care practitioners want more training and better understanding of less well-recognised symptoms of dementia and rarer syndromes (including PCA) to ensure appropriate, evidence-based assessment and intervention.

Identifying and enhancing risk thresholds in the detection of elder financial abuse: a signal detection analysis of professionals' decision making

BACKGROUND

Financial abuse of elders is an under acknowledged problem and professionals' judgements contribute to both the prevalence of abuse and the ability to prevent and intervene. In the absence of a definitive "gold standard" for the judgement, it is desirable to try and bring novice professionals' judgemental risk thresholds to the level of competent professionals as quickly and effectively as possible. This study aimed to test if a training intervention was able to bring novices' risk thresholds for financial abuse in line with expert opinion.

METHODS

A signal detection analysis, within a randomised controlled trial of an educational intervention, was undertaken to examine the effect on the ability of novices to efficiently detect financial abuse. Novices (n = 154) and experts (n = 33) judged "certainty of risk" across 43 scenarios; whether a scenario constituted a case of financial abuse or not was a function of expert opinion. Novices (n = 154) were randomised to receive either an on-line educational intervention to improve financial abuse detection (n = 78) or a control group (no on-line educational intervention, n = 76). Both groups examined 28 scenarios of abuse (11 "signal" scenarios of risk and 17 "noise" scenarios of no risk). After the intervention group had received the on-line training, both groups then examined 15 further scenarios (5 "signal" and 10 "noise" scenarios).

RESULTS

Experts were more certain than the novices, pre (Mean 70.61 vs. 58.04) and post intervention (Mean 70.84 vs. 63.04); and more consistent. The intervention group (mean 64.64) were more certain of abuse post-intervention than the control group (mean 61.41, p = 0.02). Signal detection analysis of sensitivity (A´) and bias (C) revealed that this was due to the intervention shifting the novices' tendency towards saying "at risk" (C post intervention -.34) and away from their pre intervention levels of bias (C-.12). Receiver operating curves revealed more efficient judgments in the intervention group.

CONCLUSION

An educational intervention can improve judgements of financial abuse amongst novice professionals.

Effectiveness of a decision-training aid on referral prioritization capacity: a randomized controlled trial

BACKGROUND

In the community mental health field, occupational therapy students lack the capacity to prioritize referrals effectively.

OBJECTIVE

The purpose of this study was to test the effectiveness of a clinical decision-training aid on referral prioritization capacity.

DESIGN

A double-blind, parallel-group, randomized controlled trial was conducted using a judgment analysis approach.

SETTING

Each participant used the World Wide Web to prioritize referral sets at baseline, immediate posttest, and 2-wk follow-up. The intervention group was provided with training after baseline testing; control group was purely given instructions to continue with the task.

PARTICIPANTS

One hundred sixty-five students were randomly allocated to intervention (n = 87) or control (n = 81). Intervention. Written and graphical descriptions were given of an expert consensus standard explaining how referral information should be used to prioritize referrals.

MEASUREMENTS

Participants' prioritization ratings were correlated with the experts' ratings of the same referrals at each stage of testing, as well as to examine the effect on mean group scores, regression weights, and the lens model indices.

RESULTS

At baseline, no differences were found between control and intervention on rating capacity or demographic characteristics. Comparison of the difference in mean correlation baseline scores of the control and intervention group compared with immediate posttest showed a statistically significant result that was maintained at 2-wk follow-up. The effect size was classified as large. At immediate posttest and follow-up, the intervention group improved rating capacity, whereas the control group's capacity remained poor. The results of this study indicate that the decision-training aid has a positive effect on referral prioritization capacity.

CONCLUSIONS

This freely available, Web-based decision-training aid will be a valuable adjunct to the education of these novice health professionals internationally.

Training Novices to Make Expert, Occupationally Focused, Community Mental Health Referral Decisions

Introduction:

Currently, British health policy requires services to be prioritised according to an individual's level of need. This is particularly necessary for community mental health services, where referral demand far exceeds service availability.

Purpose:

The purpose of this study was to use expert occupational therapists' referral prioritisation policies, derived from judgement analysis, to train novices in the skill of referral prioritisation.

Method:

The therapists' policies chosen were those that supported the occupationally focused practice advocated by the profession. Thirty-seven pre-registration students were asked to prioritise a set of referrals, before and after being trained with graphical and descriptive representations of these experts' policies.

Findings:

Pre-training, the students overvalued the client's history of violence and undervalued the reason for referral and the client's diagnosis, as compared with the experts. Post-training, the students' policies were better matched to those of the experts. The effect of training was demonstrated through several measures: more accurate prioritisation scores when matched with expert ratings on the same referrals, improved consistency on repeat referrals and higher group agreement.

Conclusion:

Decision training may be useful in promoting the type of service that aims to target clients' occupational needs in the field of community mental health.

Computerisation and decision making in neonatal intensive care: a cognitive engineering investigation

This paper reports results from a cognitive engineering study that looked at the role of computerised monitoring in neonatal intensive care. A range of methodologies was used: interviews with neonatal staff, ward observations, and experimental techniques. The purpose was to investigate the sources of information used by clinicians when making decisions in the neonatal ICU. It was found that, although it was welcomed by staff, computerised monitoring played a secondary role in the clinicians' decision making (especially for junior and nursing staff) and that staff used the computer less often than indicated by self-reports. Factors that seemed to affect staff use of the computer were the lack (or shortage) of training on the system, the specific clinical conditions involved, and the availability of alternative sources of information. These findings have relevant repercussions for the design of computerised decision support in intensive care and suggest ways in which computerised monitoring can be enhanced, namely: by systematic staff training, by making available online certain types of clinical information, by adapting the user interface, and by developing intelligent algorithms.

INFORM: European survey of computers in intensive care units

The aims of this study were (a) to survey and evaluate the impact of information technology applications in High Dependency Environments (HDEs) on organizational, psychological and cost-effectiveness factors, (b) to contribute information and design requirements to the other workpackages in the INFORM Project, and (c) to develop useful evaluation methodologies. The evaluation methodologies used were: questionnaires, case studies, objective findings (keystroke) and literature search and review. Six questionnaires were devised covering organizational impact, cost-benefit impact and perceived advantages and disadvantages of computerized systems in HDE (psychological impact). The general conclusion was that while existing systems have been generally well received, they are not yet designed in such a developed and integrated way as to yield their full potential. Greater user involvement in design and implementation and more emphasis on training emerged as strong requirements. Lack of reliability leading to parallel charting was a major problem with the existing systems. It proved difficult to assess cost effectiveness due to a lack of detailed accounting costs; however, it appeared that in the short term, computerisation in HDEs tended to increase costs. It is felt that through a better stock control and better decision making, costs may be reduced in the longer run and effectiveness increased; more detailed longitudinal studies appear to be needed on this subject.

INFORM: development of information management and decision support systems for High Dependency Environments

The long-term aim in the INFORM Project is to develop, evaluate and implement a new generation of Information Systems for hospital High Dependency Environments (HDE-Intensive Care Units, Neonatal Units, Burns Units. Operating and Recovery Rooms, and other specialised areas). The distinguishing feature of the HDE is the very large amount of data that is collected through monitors and paper records about the state of critically ill patients; this has made the role of the staff a technical one in addition to a caring one. The INFORM System will integrate Decision Support with on-line, off-line and observed patient data and, in addition, will incorporate and integrate unit management features. In the Exploratory Phase of the Project, functional requirements have been set out. These are based on four components: conceptual model of the HDE; evaluation of existing HDE Information Systems; development of a novel software architecture using a Knowledge-Based Systems (KBS) methodology, and based on a critical review of KBS applied to the HDE: monitoring of appropriate leading-edge technological developments. The conceptual model has two components: a patient-related information model, and a department-related cost model. The patient-related model is identifying key and difficult areas of decision making. A key aspect of INFORM is integration of clinical Decision Support for these areas into the Information System through a layered software architecture. The lower layers are concerned with monitoring and alarming and the higher levels with patient assessment and therapy planning. The functionality and interconnection of these layers are being determined.