How Can a Combination of Historical Demography and Prosopographical Methods Aid the Understanding of Causes of Death? An Illustration Using Maternal Mortality as an Example

The growing availability of individual-level historic cause of death data is allowing increased insight into the construction of official mortality statistics, the role of changing medical provision and knowledge, and the practices of individual medical practitioners. Even the most detailed demographic data can shed little light on the particular choices that doctors made, however. We argue that a mixed methods approach, combining demographic and prosopographical approaches, can help to resolve such questions. We illustrate this using a particular conundrum relating to cause of death recording: why doctors "hid" deaths in childbirth by allocating them to causes which cannot be assumed to be maternal mortality. Triangulating different types of evidence from different sources for a particular, but fairly typical, Scottish doctor in the mid-19th century, we argue that doctors were unlikely to have deliberately obscured the maternal nature of deaths. The evidence suggests that they were more likely to have failed to realise that although they knew a woman had recently delivered, this fact was not indicated in the death register and thus the causes of death they offered could often not be identified as maternal mortality.

Authors

Institutions

Publication Details

Journal
Historical Life Course Studies
Published
2025-09-01
DOI
https://doi.org/10.51964/hlcs23197
Primary Topic
Health and Conflict Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How Can a Combination of Historical Demography and Prosopographical Methods Aid the Understanding of Causes of Death? An Illustration Using Maternal Mortality as an Example

Eilidh Garrett, Alice Reid
Historical Life Course Studies
Health and Conflict Studies
article

How Can a Combination of Historical Demography and Prosopographical Methods Aid the Understanding of Causes of Death? An Illustration Using Maternal Mortality as an Example

Eilidh Garrett, Alice Reid
article en

Abstract

The growing availability of individual-level historic cause of death data is allowing increased insight into the construction of official mortality statistics, the role of changing medical provision and knowledge, and the practices of individual medical practitioners. Even the most detailed demographic data can shed little light on the particular choices that doctors made, however. We argue that a mixed methods approach, combining demographic and prosopographical approaches, can help to resolve such questions. We illustrate this using a particular conundrum relating to cause of death recording: why doctors "hid" deaths in childbirth by allocating them to causes which cannot be assumed to be maternal mortality. Triangulating different types of evidence from different sources for a particular, but fairly typical, Scottish doctor in the mid-19th century, we argue that doctors were unlikely to have deliberately obscured the maternal nature of deaths. The evidence suggests that they were more likely to have failed to realise that although they knew a woman had recently delivered, this fact was not indicated in the death register and thus the causes of death they offered could often not be identified as maternal mortality.

Historical Life Course StudiesVol. 15
University of Cambridge (GB), University of Edinburgh (GB)
Openalex Percentile: Top 63%
Health and Conflict Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.