Universal health coverage assessment framework.

<p>Universal health coverage assessment framework.</p

Description of the <i>mafiga matatu</i> system of a married woman, from 29 to 32 years of age.

<p>The figure illustrates the structure of <i>mafiga matatu</i>, a wife balancing on top of the husband or steady partner and two lovers.</p

Individuella utsläpp och moraliskt ansvar för miljöskada

This essay argues that personal greenhouse gas emissions render the individual responsible forclimate-related harm to a great extent. To accomplish this, there will primarily be a focus onanswering the most important criticisms of individual climate responsibility. Issues concerningcausality are the first to be brought up, followed by issues concerning direct harm, simpledivision and unintentional contributions to harm, among other topics. The three main conclusionsdrawn in the discussion of these topics are that individual emissions can be considered partialcauses of climate harm, that most emission-heavy activity is immoral to some extent, and that theact of contributing to collective actions with foreseeable negative effects is morally questionable.These conclusions and their implications will be interpreted in a way that is compatible with thedefinition of responsibility that is used. Responsibility is considered to be a matter of degree forthe purposes of this essay. This will allow for a much wider range of relevant aspects to be takeninto consideration, when arguing for individual responsibility for climate har

Percentage of health workers in each country who have considered leaving their current position.

<p>Percentage of health workers in each country who have considered leaving their current position.</p

Intention to leave the workplace Z-scores as a function of an absence of supervision, negative feedback only, and formal supervision in: (a) Malawi, (b) Tanzania, and (c) Mozambique.

<p>Intention to leave the workplace Z-scores as a function of an absence of supervision, negative feedback only, and formal supervision in: (a) Malawi, (b) Tanzania, and (c) Mozambique.</p

Descriptive statistics for the demographic characteristics and adequacy of supervision, job satisfaction and intention to leave ratings from Malawi, Tanzania, and Mozambique.

*<p>In Mozambique this cadre includes those who classified themselves as ‘Agent Medicine’, ‘Medical Technician’, & ‘Surgical Technician’.</p

Results of multilevel model testing the relationship between supervision methods and job satisfaction and intentions to leave across three countries.

†<p><.1, ^* p<.05, ^** p<.01</p>a<p>Each category of supervision methods (i.e. on request, negative feedback only, no feedback) is contrasted with formal supervision in predicting the outcome variables.</p><p>Note: All analyses adjust for participant age, gender, and occupational cadre. In addition, the Malawi and Tanzania analyses adjust for facility level factors (geographic location, size, availability of resources).</p

Indicators included in the Millennium Development Goals coverage score, with weighting.

<p>HMIS = health management information system (facility reports); THMIS = Tanzania Health and Malaria Indicator Survey; NACP = National AIDS Control Programme; NTPLCP = National Tuberculosis and Leprosy Control Programme</p><p>Indicators included in the Millennium Development Goals coverage score, with weighting.</p

Relative ranking of regions by level of socioeconomic development, Tanzania mainland, 2012.

<p>Relative ranking of regions by level of socioeconomic development, Tanzania mainland, 2012.</p

Inequalities in the Countdown MNCH coverage score (see text), based on survey data 1991–2010, national trend with three best and three poorest regions according to the 2010 survey.

<p>Inequalities in the Countdown MNCH coverage score (see text), based on survey data 1991–2010, national trend with three best and three poorest regions according to the 2010 survey.</p