Objectives With the spread of COVID-19, the Netherlands implemented a policy to keep citizens physically distanced. We hypothesize that consequent reduction in the frequency of social contacts, personal losses and the experience of general threats in society reduced well-being. Methods Data were collected from 1,679 Dutch community-dwelling participants aged 65 to 102 years old comprising a longitudinal online panel. Social and emotional loneliness and mental health were measured in May 2020, i.e., two months after the implementation of the measures, and earlier in October and November 2019. Results In this pandemic, not only loneliness of older people increased, but mental health remained roughly stable. The policy measures for physical distancing did not cause much social isolation but personal losses, worries about the pandemic, and a decline in trust in societal institutions were associated with increased mental health problems and especially emotional loneliness. Discussion The consequences of long-term social isolation and well-being must be closely monitored.
BackgroundCommunity health worker (CHW) programmes have received much attention since the 1978 Declaration of Alma-Ata, with many initiatives established in developing countries. However, CHW programmes often suffer high attrition once the initial enthusiasm of volunteers wanes. In 2002, Uganda began implementing a national CHW programme called the village health teams (VHTs), but their performance has been poor in many communities. It is argued that poor community involvement in the selection of the CHWs affects their embeddedness in communities and success. The question of how selection can be implemented creatively to sustain CHW programmes has not been sufficiently explored. In this paper, our aim was to examine the process of the introduction of the VHT strategy in one rural community, including the selection of VHT members and how these processes may have influenced their work in relation to the ideals of the natural helper model of health promotion.MethodsAs part of a broader research project, an ethnographic study was carried out in Luwero district. Data collection involved participant observation, 12 focus group discussions (FGDs), 14 in-depth interviews with community members and members of the VHTs and four key informant interviews. Interviews and FGD were recorded, transcribed and coded in NVivo. Emerging themes were further explored and developed using text query searches. Interpretations were confirmed by comparison with findings of other team members.ResultsThe VHT selection process created distrust, damaging the programme’s legitimacy. While the Luwero community initially had high expectations of the programme, local leaders selected VHTs in a way that sidelined the majority of the community’s members. Community members questioned the credentials of those who were selected, not seeing the VHTs as those to whom they would go to for help and support. Resentment grew, and as a result, the ways in which the VHTs operated alienated them further from the community. Without the support of the community, the VHTs soon lost morale and stopped their work.ConclusionAs the natural helper model recommends, in order for CHW programmes to gain and maintain community support, it is necessary to utilize naturally existing informal helping networks by drawing on volunteers already trusted by the people being served. That way, the community will be more inclined to trust the advice of volunteers and offer them support in return, increasing the likelihood of the sustainability of their service in the community.
BackgroundTurnover in the health workforce is a concern as it is costly and detrimental to organizational performance and quality of care. Most studies have focused on the influence of individual and organizational factors on an employee’s intention to quit. Inspired by the observation that providing care is based on the duration of practices, tasks and processes (issues of time) rather than exchange values (wages), this paper focuses on the influence of working-time characteristics and wages on an employee’s intention to stay.MethodsUsing data from the WageIndicator web survey (N = 5,323), three logistic regression models were used to estimate health care employee’s intention to stay for Belgium, Germany and the Netherlands. The first model includes working-time characteristics controlling for a set of sociodemographic variables, job categories, promotion and organization-related characteristics. The second model tests the impact of wage-related characteristics. The third model includes both working-time- and wage-related aspects.ResultsModel 1 reveals that working-time-related factors significantly affect intention to stay across all countries. In particular, working part-time hours, overtime and a long commuting time decrease the intention to stay with the same employer. The analysis also shows that job dissatisfaction is a strong predictor for the intention to leave, next to being a woman, being moderately or well educated, and being promoted in the current organization. In Model 2, wage-related characteristics demonstrate that employees with a low wage or low wage satisfaction are less likely to express an intention to stay. The effect of wage satisfaction is not surprising; it confirms that besides a high wage, wage satisfaction is essential. When considering all factors in Model 3, all effects remain significant, indicating that attention to working and commuting times can complement attention to wages and wage satisfaction to increase employees’ intention to stay. These findings hold for all three countries, for a variety of health occupations.ConclusionsWhen following a policy of wage increases, attention to the issues of working time—including overtime hours, working part-time, and commuting time—and wage satisfaction are suitable strategies in managing health workforce retention.
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