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Background Personas are a canonical user-centered design method increasingly used in health informatics research. Personas—empirically-derived user archetypes—can be used by eHealth designers to gain a robust understanding of their target end users such as patients. Objective To develop biopsychosocial personas of older patients with heart failure using quantitative analysis of survey data. Method Data were collected using standardized surveys and medical record abstraction from 32 older adults with heart failure recently hospitalized for acute heart failure exacerbation. Hierarchical cluster analysis was performed on a final dataset of n=30. Nonparametric analyses were used to identify differences between clusters on 30 clustering variables and seven outcome variables. Results Six clusters were produced, ranging in size from two to eight patients per cluster. Clusters differed significantly on these biopsychosocial domains and subdomains: demographics (age, sex); medical status (comorbid diabetes); functional status (exhaustion, household work ability, hygiene care ability, physical ability); psychological status (depression, health literacy, numeracy); technology (internet availability); healthcare system (visit by home healthcare, trust in providers); social context (informal caregiver support, cohabitation, marital status); and economic context (employment status). Tabular and narrative persona descriptions provide an easy reference guide for informatics designers. Discussion Personas development using approaches such as clustering of structured survey data is an important tool for health informatics professionals. We describe insights from our study with heart failure patients, then recommended a generic ten-step personas development process. Methods strengths and limitations of the study and of personas development generally are discussed.

The link between diversification and performance has become an important topic for research in diverse fields such as strategic management, industrial organization and financial management. However, a synthesis of the research done in developed and emerging markets is missing. This paper attempts such a synthesis by comparing and contrasting the past cumulative empirical research evidence on the relationship between diversification and firm performance in the context of developed economies to the more recent work in the emerging economies. The empirical literature has been divided into three broad perspectives, and the paper highlights the considerable diversity in its findings in developed and emerging markets across each of these perspectives. Based on this study, it is proposed that related diversification is preferable in developed economies and should be based on specific resources, whereas unrelated diversification is appropriate in emerging economies and should be based on generic resources.Although agency problems exist in both contexts, it is argued that the type of problem differs in developed and emerging markets. The paper concludes by identifying three directions for future research. First, the relationship between diversification and performance should be examined across each industry separately and not in aggregate. Secondly, future research needs to examine the organizational mechanisms required to make diversification successful. Finally, the relationship needs to be examined under unstable and dynamic situations such as the current global economic downturn.

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