“Either Side of Delphy Bridge”: A deep mapping project evoking and engaging the lives of older adults in rural North Cornwall

This article reports on work to date by an arts practice-led research team exploring older adults’ conceptions of, and connectivity with, the physical, social and cultural landscapes in which they locate themselves. The team is based at the Department of Art and Design, University of the West of England (UWE) and has conducted fieldwork, interviews and small-scale interactions in an area of rural North Cornwall with a view to “deep mapping” older adults’ “lived landscapes” using a variety of practical methods derived from creative arts practices, critical reflection on deep mapping, ethnographic approaches, and referencing a range of theoretical positions. The project forms part of a work package within “Grey and Pleasant Land? An interdisciplinary exploration of the connectivity of older people in rural civic society” (abbreviated below as GaPL), funded by the UK Cross-Research Council ‘New Dynamics of Ageing’ Programme. In what follows we will describe and critically discuss the fieldwork undertaken and the various ways in which the performative interactions and the creative multimedia evocations that draw on the team’s interactions with older people might extend the growing dialogue between deep mapping, visual and other innovative ethnographies, and critical gerontology.     

Being involved in the country: Productive ageing in different types of rural communities

Productive ageing recognises the contribution of older people to economic, social and cultural growth and helps build a sustainable community. Being involved in community life is good for individuals and good for society. However, we know very little about the participation of and contribution by people aged 50 and over in rural communities. This research aimed to develop a better understanding of productive ageing in different types of communities in rural Victoria, Australia. An anonymous self-complete postal questionnaire was distributed to a sample of households in twenty rural communities using the Australia Post Unaddressed Select Service. Those householders 50 years of age and older were invited to complete the survey. Data collected allowed examination of social and civic engagement, familiarity with community, the value placed on social relations by people aged 50 years and over, and how community involvement was linked to community sustainability. In particular it attempts to address the question ‘Does social and civic engagement differ across declining, stable and growing rural communities?’ Despite differences among rural communities, this study showed that older people develop and maintain strong community connections and well-functioning social capital and that participation in social activities was associated with feelings of being connected with community. It also identified health issues and lack of options as the main constraints on participation. A key message for policy makers is that older people play an important role in the sustainability of rural communities. There is much to be gained from actively supporting their participation in activities that are connected to ageing well.     

Children and Families’ Involvement in Social Work Decision Making

This review summarises the research literature on children’s and parents’ involvement in social work decision making, which is regarded, in policy terms, as increasingly important. In practice, however, it tends to be messy, difficult and compromised. Different individuals or groups may have different understandings of participation and related concepts, while differences of age and disability also mediate effective user engagement. The literature highlights common themes in effective participatory practice with both children and their parents. Central to this are the establishment of relationships of trust and respect, clear communication and information and appropriate support to participate.     

A comparative study of occupancy and patient care quality in four different types of intensive care units in a children's hospital

This paper reports a comparative study of occupancy and patient care quality in four types of intensive care units in a children's hospital,: an Infant Care Center (ICC), a Medical/Surgical (Med/Surg) unit, a Neonatal Intensive Care Unit (NICU), and a Pediatric Intensive Care Unit (PICU), each featuring a mix of multi-bed and private room (PR) patient care environments. The project is prompted by interest by the project sponsor in a pre-occupancy analysis, before the units are upgraded to exclusive PR designs. Methods comprised, for each unit: (1) observations of ergonomic design features; (2) task activity analyses of job performance of selected staff; and (3) use of a survey to collect perceptions by unit nursing and house staff (HS) of indicators of occupancy and patient care quality. Conclusions: (1) the five most common task activities are interaction with patients, charting, and interaction with equipment, co-workers and family members; (2) job satisfaction, patient care, work environment, job, patient care team interaction, and general occupancy quality rankings by ICC and/or NICU respondents are significantly higher than those by other staff respondents; and (3) ergonomic design shortcomings noted are excess noise, problems with equipment, and work environment, job-related health, and patient care quality issues.     

Family structure and child outcomes: a high definition, wide angle “snapshot”

Using data from the National Survey of America??s Families (NSAF), this research investigates the relationships between a highly defined set of family structures and a broad set of child outcomes at a particular point in time in a child??s life. A detailed classification of family structures is constructed that clarifies key differences among various types of diverse families, and facilitates equivalencies testing and pairwise comparisons across nontraditional family structures. The NSAF contains a large number of observations for less common, but growing, family structures such as single-father families, grandparent-headed households and cohabiters, which makes such detailed analyses feasible and allows further stratification by child age, gender and race. The data also contains information on child behavioral, educational and physical health outcomes, as well as extensive household characteristics, economic resources and parental behaviors and inputs. Results suggest that differences across nontraditional family structures are particularly prominent for child health outcomes and that the gender of the resident parent is empirically important, more so than the presence of a cohabiting or married step-parent. Children in single father families have lesser access to health care yet enjoy better health outcomes than those in other families, even after controlling for economic resources (and inputs). In contrast, few differences are found between grandparent-headed families and other non-parent families. While we explore alternative explanations for these results, our cross-sectional data and complex set of family structure variables preclude isolating causal relationships; instead, our analyses yield empirically important distinctions that point to promising avenues for future research.     

Improving the detection of unusual observations in high‐dimensional settings

Multivariate control charts are used to monitor stochastic processes for changes and unusual observations. Hotelling's T² statistic is calculated for each new observation and an out‐of‐control signal is issued if it goes beyond the control limits. However, this classical approach becomes unreliable as the number of variables p approaches the number of observations n, and impossible when p exceeds n. In this paper, we devise an improvement to the monitoring procedure in high‐dimensional settings. We regularise the covariance matrix to estimate the baseline parameter and incorporate a leave‐one‐out re‐sampling approach to estimate the empirical distribution of future observations. An extensive simulation study demonstrates that the new method outperforms the classical Hotelling T² approach in power, and maintains appropriate false positive rates. We demonstrate the utility of the method using a set of quality control samples collected to monitor a gas chromatography–mass spectrometry apparatus over a period of 67 days.     

Empirical Prediction Intervals for County Population Forecasts

Population forecasts entail a significant amount of uncertainty, especially for long-range horizons and for places with small or rapidly changing populations. This uncertainty can be dealt with by presenting a range of projections or by developing statistical prediction intervals. The latter can be based on models that incorporate the stochastic nature of the forecasting process, on empirical analyses of past forecast errors, or on a combination of the two. In this article, we develop and test prediction intervals based on empirical analyses of past forecast errors for counties in the United States. Using decennial census data from 1900 to 2000, we apply trend extrapolation techniques to develop a set of county population forecasts; calculate forecast errors by comparing forecasts to subsequent census counts; and use the distribution of errors to construct empirical prediction intervals. We find that empirically-based prediction intervals provide reasonably accurate predictions of the precision of population forecasts, but provide little guidance regarding their tendency to be too high or too low. We believe the construction of empirically-based prediction intervals will help users of small-area population forecasts measure and evaluate the uncertainty inherent in population forecasts and plan more effectively for the future.