Morbidity, mortality and the health consequences of involuntary resettlement

Olule Solomon12 min read

Abstract

The impoverishment risks framework lists increased morbidity and mortality among the eight risk domains of displacement, and it is the domain for which project-level evidence is weakest. This paper reviews the mechanisms through which displacement affects health — water and sanitation discontinuity at relocation, nutritional disruption during the transition period, loss of proximity to existing health services, exposure to unfamiliar disease environments, and the psychosocial effects of forced relocation on older adults in particular — and examines why resettlement monitoring almost never captures them. It argues that health indicators are omitted less because they are contested than because they require a comparison group that resettlement monitoring is not designed to produce.

Health impacts of displacementMorbidity and mortalityImpoverishment risksResettlement monitoringVulnerable groups

1. A named risk with almost no project data

Every major safeguard framework acknowledges health consequences of displacement, and the impoverishment risks model treats increased morbidity and mortality as one of its eight domains. Yet a review of resettlement monitoring reports will find health represented, if at all, by an indicator recording whether a health facility exists at the resettlement site. That is an input, not an outcome, and it is compatible with almost any state of the world.

The gap is worth stating precisely because it is not a gap in the standards. The obligation to restore livelihoods and to attend to vulnerable groups plainly encompasses not making people sicker. What is missing is measurement, and the reason is methodological rather than normative.

2. The transition period is the exposure

The health mechanisms of displacement concentrate in a window that project schedules treat as administrative: the months between vacating and being fully established at the new location. During that window water supply may be interim, sanitation improvised, food purchased rather than grown at a time when compensation is being spent on construction, and shelter temporary.

Each of these is individually modest and they compound. Discontinuity in water and sanitation drives diarrhoeal disease, which in young children translates into nutritional loss that outlasts the episode. A household transitioning from own production to purchase during the same period faces both a cash constraint and a dietary shift. Crowding in transitional accommodation raises respiratory transmission.

Because the window is temporary, project reporting treats these effects as transitional inconvenience. In the specific case of young children, a nutritional deficit during a transitional window is not itself transitional.

3. Distance, environment and service access

Relocation changes the distance to health facilities, and unlike distance to a market this is rarely assessed as an eligibility-relevant criterion during site selection. A resettlement site twelve kilometres from the clinic the community previously used has altered the effective availability of care for exactly the users least able to travel: pregnant women, the chronically ill, and older adults.

Relocation may also change the disease environment. Movement into a different altitude band, closer to standing water, or into an area with different vector conditions can alter malaria exposure for a population with no acquired familiarity with it. This is knowable in advance from routine health surveillance data and is very seldom consulted during site selection.

A third effect is the loss of the informal care network. Where illness was managed with help from neighbours and kin, social disarticulation and health interact directly: the household that has lost its neighbours has lost part of its capacity to manage illness, which is a health consequence of a social mechanism.

4. Older adults and psychosocial effects

The finding that recurs across displacement literature and is most consistently ignored in practice concerns older adults. Elevated mortality among the elderly following forced relocation has been observed across widely different settings and displacement types. The mechanisms proposed include loss of place-based identity, disruption of routine and social role, and the removal of the household from a landscape in which it had accumulated meaning and burial ties.

Whatever the mechanism, the operational implication is specific and cheap: age is recorded at census, older adults living alone or with limited support are identifiable at baseline, and targeted support during the transition window is an intervention the project can actually deliver. That this is rarely done is a resourcing decision, not an evidentiary problem.

5. Why the measurement is hard, and what is nonetheless feasible

The genuine methodological obstacle is attribution. Health outcomes vary for many reasons, and a comparison between a displaced population before and after relocation cannot distinguish displacement effects from a bad season, an outbreak, or a change in service provision affecting the whole district. Establishing a displacement effect properly requires a comparison group, and resettlement monitoring is designed around the affected population alone.

A defensible middle position exists. A small set of health indicators collected on the same instrument as the socioeconomic monitoring — self-reported illness episodes in a recent recall period, under-five diarrhoea, distance and travel time to the facility actually used, births attended, and deaths in the household by age — costs little once enumeration is already happening. Compared against district-level routine health data as an external reference, this does not isolate causation but does detect divergence, which is what a monitoring system is for.

Where a host community is being surveyed anyway, as it should be, a comparison group is already partly available at no additional mobilisation cost.

6. Conclusion

Health is the impoverishment risk that practice has accepted in principle and declined to measure. The consequence is that projects cannot say whether they made people sicker, and in the absence of data the default assumption in reporting is that they did not. Given the concentration of health risk in a short, predictable and entirely foreseeable transition window, that assumption is unsupported and the measures needed to test it are within the reach of any project already running a household survey.

References

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