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The purpose of this paper is to compare quality of life scores in a long-term recovery population group (post five years) with a general population group and to explore how any differences might be explained by recovering individuals themselves in a small number of follow up qualitative interviews.

A sequential explanatory mixed method design combining quantitative quality of life measure (WHOQOL-BREF, 1996) and six subsequent semi-structured individual interviews. The quality of life measure compared long-term recovery scores (post five years) with the general population group. The subsequent qualitative semi-structured interviews explored what the participants themselves said about their recovery.

The quantitative data provide evidence of a significant difference in quality of life (WHOQoL-BREF) in two domains. The long-term recovery group (five or more years into recovery) scored higher in both the environment and psychological domains than the general population group. Of the long-term recovery group, 17 people who still accessed mutual aid scored higher in all four domains than those 23 people who did not. The interviews provide evidence of the this difference as result of growth in psychological elements of recovery, such as developing perspective, improvement in self-esteem, spirituality, as well as contributing as part of wider social involvement.

This study provides support for the quality of life measure as useful in recovery research. The empirical data support the concept of recovery involving improvements in many areas of life and potentially beyond the norm, termed “better than well” (Best and Lubman, 2012; Valentine, 2011; Hibbert and Best, 2011). Limitations: snowballing method of recruitment, and undertaken by public health practitioner. Some suggestions of women and those who attend mutual aid having higher quality of life but sample too small.

Use QoL measure more in recovery research. Public health practitioners and policy makers need to work with partners and agencies to ensure that there is much more work, not just treatment focused, addressing the wider social and environmental context to support individuals recovering from alcohol and drugs over the longer term.

One of small number of studies using with participants who have experienced long-term (post five years) recovery, also use of quality of life measure (WHOQOL-BREF, 1996) with this population.

The purpose of this paper is to examine vulnerability conditions to flood disasters in Tokwe-Mukorsi community, Zimbabwe and identifies the barriers that constrained the community from relocating to safe sites.

Using a questionnaire survey, field observations and interviews, the paper examines the biophysical and social vulnerability of the Tokwe-Mukorsi community, Zimbabwe, as well as the barriers that prevented it from relocating to safe sites. A thematic analysis of the large volumes of qualitative data from interviews and walk-through analyses was conducted. Descriptive statistics were used in analysing quantitative data from questionnaires.

Results reveal that households living upstream and downstream of the dam were highly vulnerable to floods. Their biophysical vulnerability was partly induced by the construction of the dam whose basin encroached into the farming and settlement area. The extremely vulnerable group were households living below level of 660 m where five saddle dams had been constructed. The built environment of the community exhibited ignorance of standard building codes. The poor socio-economic conditions of the community and the incessant rains experienced over two weeks contributed to the flood disaster in early 2014. The Tokwe-Mukorsi community failed to relocate to safe places partly due to lack of compensation, absence of basic infrastructure and drought occurrence in relocation sites.

The calculation of social vulnerability indices is beyond the scope of this study due to non-availability of quantitative data at community level.

This paper provides a comprehensive understanding of why some communities may fail to relocate despite being highly vulnerable to flood disasters.

The effects of organisational change on a medium secure ward for women with developmental disabilities are examined. Intervention followed the BAITS model (Milne et al, 2003) in focusing on behavioural analysis, intervention, training and support as a way of amalgamating psychological perspectives to address problems and promote positive attitude change. The positive benefits of this programme are described in terms of pre‐ and post‐changes in the perceived work environment, job satisfaction and burn‐out, and levels of disturbed behaviour. The implications of these findings are discussed in terms of promoting positive evidence‐based practices in secure developmental disability services.

There is extensive evidence that decision-makers, faced with increasing information load, may simplify their choice by reducing the amount of information to process. One simplification, commonly referred to as attribute non-attendance (ANA), is a reduction of the number of attributes of the choice alternatives. Several previous studies have identified relationships between varying information load and ANA using self-reported measures of ANA. This chapter revisits this link, motivated by recognition in the literature that such self-reported measures are vulnerable to reporting error.

This chapter employs a recently developed modelling approach that has been shown to effectively infer ANA, the random parameters attribute non-attendance (RPANA) model. The empirical setting systematically varies the information load across respondents, on a number of dimensions.

Confirming earlier findings, ANA is accentuated by an increase in the number of attribute levels, and a decrease in the number of alternatives. Additionally, specific attributes are more likely to not be attended to as the total number of attributes increases. Willingness to pay (WTP) under inferred ANA differs notably from when ANA is self-reported. Additionally accounting for varying information load, when inferring ANA, has little impact on the WTP distribution of those that do attend. However, due to varying rates of non-attendance, the overall WTP distribution varies to a large extent.

This is the first examination of the impact of varying information load on inferred ANA that is identified with the RPANA model. The value lies in the confirmation of earlier findings despite the evolution of methodologies in the interim.

Decentralization is an important element in the policy formulation and implementation of Primary Health Care (PHC) in developing countries. While this may well be the case, certain forms of “decentralization” policies can have negative implications for the development of PHC. It can be associated with a reduced role of the public sector, weaken the central Ministry of Health, be instrumental in producing inequity and facilitate political domination. It is necessary to examine decentralization with a view to securing its effective formulation and implementation. A set of ten questions and related issues is set out to facilitate this examination.

Comments favourably on two recent publications which enhance an understanding of the retailer′s responsibilities towards the consumer.

The purpose of this paper is to describe and discuss policy analysis in Nepal and review the wide range of choices feasible in decentralisation decision making.

In this paper an iterative qualitative method was developed and used in the research, which consisted of focus group interviews, key informant interviews, document analysis, including descriptive statistics, and analysis of the policy context. Participants in the research reflected the urban/rural mix of districts and the geography of Nepal. Analysis combined transcribed interviews with findings from document searches and analysis of the policy context. Coding was pre‐determined during the training workshop and further codes were generated during and after the fieldwork.

The paper finds that Nepal is in the process of decentralising public services from the central level to the local level, particularly to local bodies: District Development Committees (DDCs), Village Development Committees (VDCs) and Municipalities. Key contextual factors referred to are the overall structure of decentralisation, the social context of poverty and the political instability leading to a fluid political situation characterised by political tension, armed conflict, controversies and agreements while carrying out the research. The key issues identified and discussed in the paper are the policy process leading to decentralisation, the organisational structure and tension in the proposed system, the systems of resource generation, allocation, planning and management and lastly the forms of accountability, participation, public‐private relations and collaborative strategies.

The paper discusses the challenges faced in conducting such a policy analysis, the broad ranging and unremitting nature of the decentralisation process, and the contextual setting of the process of change.