scholarly journals Impact of Imprecise Household Location on Effective Coverage Estimates Generated through Linking Household and Health Provider Data by Geographic Proximity

Author(s):  
Emily D Carter ◽  
Melinda K Munos

Abstract Background: Combining household and health provider data can be used to estimate coverage of interventions and identify barriers to use. Without data on specific sources of care utilized by individuals, researchers often assign individuals to healthcare providers based on geographic proximity. The Demographic and Health Survey (DHS), a common source of population health data, does not collect data on the location of participant households. They present displaced data on the central point within household clusters. This may introduce error into analyses based on the distance between households and providers. Methods: We assessed the effect of imprecise household location on quality-adjusted effective coverage of child curative services estimated by linking sick children to providers based on geographic proximity. We used data on care-seeking for child illness and health provider quality in Southern Province, Zambia. The dataset included the location of respondent households, a census of providers, and data on the exact outlets utilized by sick children included in the study. We displaced the central point of each household cluster point five times. We calculated quality-adjusted coverage by assigning each sick child to a provider’s care based on three measures of geographic proximity (absolute distance, travel time, and geographic radius) from the household location, cluster point, and displaced cluster locations. We compared the estimates of quality-adjusted coverage to each other and estimates calculated using each sick child’s true source of care. Results: Fewer children were linked to their true source of care using cluster locations than household locations. Estimates of coverage were not statistically different using different measures of geographic proximity or household location. Estimates did not vary significantly from estimates produced using each sick child’s true source of care. Conclusions: Use of original or displaced cluster location did not produce statistically different coverage estimates than using household location. However, it did reduce the proportion of children that linked to their true source of care. The limited effect of household location imprecision on quality-adjusted coverage estimates could be due to a lack of variability in provider quality. These findings may not hold in a setting with more considerable variation in provider quality. This work was supported by the Bill & Melinda Gates Foundation, Grant Number INV-006966

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Emily D. Carter ◽  
Melinda K. Munos

Abstract Background Geographic proximity is often used to link household and health provider data to estimate effective coverage of health interventions. Existing household surveys often provide displaced data on the central point within household clusters rather than household location. This may introduce error into analyses based on the distance between households and providers. Methods We assessed the effect of imprecise household location on quality-adjusted effective coverage of child curative services estimated by linking sick children to providers based on geographic proximity. We used data on care-seeking for child illness and health provider quality in Southern Province, Zambia. The dataset included the location of respondent households, a census of providers, and data on the exact outlets utilized by sick children included in the study. We displaced the central point of each household cluster point five times. We calculated quality-adjusted coverage by assigning each sick child to a provider’s care based on three measures of geographic proximity (Euclidean distance, travel time, and geographic radius) from the household location, cluster point, and displaced cluster locations. We compared the estimates of quality-adjusted coverage to each other and estimates using each sick child’s true source of care. We performed sensitivity analyses with simulated preferential care-seeking from higher-quality providers and randomly generated provider quality scores. Results Fewer children were linked to their true source of care using cluster locations than household locations. Effective coverage estimates produced using undisplaced or displaced cluster points did not vary significantly from estimates produced using household location data or each sick child’s true source of care. However, the sensitivity analyses simulating greater variability in provider quality showed bias in effective coverage estimates produced with the geographic radius and travel time method using imprecise location data in some scenarios. Conclusions Use of undisplaced or displaced cluster location reduced the proportion of children that linked to their true source of care. In settings with minimal variability in quality within provider categories, the impact on effective coverage estimates is limited. However, use of imprecise household location and choice of geographic linking method can bias estimates in areas with high variability in provider quality or preferential care-seeking.


2005 ◽  
Vol 25 (3) ◽  
pp. 283-293 ◽  
Author(s):  
A. A. E. Olaogun ◽  
W. R. Brieger ◽  
P. O. Obianjuwa ◽  
A. B. Ayoola ◽  
S. O. Adebayo

Communication and agreement between spouses has been found to be an important factor in terms of acceptance and use of family planning services and supplies. Therefore, it is likely that agreement between spouses may play an important role in other aspects of family health, including care of childhood illness. This study, based in a rural and an urban community in Osun State, Nigeria, set out to determine the agreement between mothers and fathers on the illness experience and care provided to their preschool age children. Among the 550 couples studied, most mothers (98%) and fathers (94%) reported that they “did something” to help during their child's recent illness. The illness was recognized first by the mothers according to 83% of respondents. Overall, 81% of couples concurred that the mother was the first to discover the illness. Concurrence was greater in urban areas and where fathers read a newspaper frequently. Only 45% concurred on who took the decision for first action to address the illness, which again was greater in the urban area and in families where the father read a newspaper frequently. Parents also were not in full agreement about the name of the child's illness, but concurrence was greater in the case of malaria/fever. Finally, concurrence on the actual first form of treatment care reached only 36%. Most concurrent couples and non-concurrent mothers mentioned drug shops/chemists as the first source of care, while non-concurrent fathers placed government clinics first. While mothers are likely to be the main caregivers, fathers do have decision making and financial roles. Not only should health education for appropriate and prompt care of child illnesses be aimed equally are both parents, it should also recognize that fathers may have different perceptions from mothers. Education should also encourage better couple communication.


2010 ◽  
Vol 100 (2) ◽  
pp. 264-269 ◽  
Author(s):  
Dana B. Mukamel ◽  
Laurent G. Glance ◽  
Andrew W. Dick ◽  
Turner M. Osler

2004 ◽  
Author(s):  
Mamta Gautam ◽  
Mike Cohen ◽  
Todd Watkins ◽  
Susan Yungblut ◽  
Isra Levy

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