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UID:pretalx-2026-3B7NB7@conferences.acspri.org.au
DTSTART;TZID=AEST:20261125T172500
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DESCRIPTION:Qualitative studies of multiply disadvantaged groups often fini
 sh where network analysis could begin: with a list of themes and counts. W
 hen open-text responses are coded at participant level\, the resulting aff
 iliation (bipartite) network of participants and issue codes can be projec
 ted into a one-mode issue co-occurrence network. We examine whether three 
 separately coded subsets can be harmonised into one defensible co-occurren
 ce network\, and what such a network adds to conventional thematic reporti
 ng.\n\nThe data come from the co-designed\, consumer-centric study "Making
  the invisible visible: Exploring the experiences of frail\, homebound and
  bedridden people" (Flinders University Social and Behavioural Research Et
 hics Committee\, Project No. 8557). We shared an online survey via social 
 media and university press release channels\; three researchers coded open
 -text responses from 140 participants\, each working on mutually exclusive
  subsets (n=46\, 47 and 47). Each coder extended the coding framework diff
 erently\, and identical code numbers referred to different concepts\, so w
 e could not pool coder-specific labels directly. We derived a shared seman
 tic core of eight issues comparable across all three codebooks\, construct
 ed a participant-by-issue binary matrix\, and projected it into a weighted
  one-mode network with issues as nodes and co-reporting counts as edges. W
 e treated four entries that reproduced the entire shared code list as unre
 solved in the primary analysis and retained them as authored in a sensitiv
 ity analysis. Because coders worked on disjoint subsets\, whole-sample int
 ercoder reliability cannot be estimated\; we treat this as a structural fe
 ature of the design.\n\nIssue coding was present for 122 of 140 participan
 ts\; 80 had at least one evaluable shared-core issue and form the network 
 denominator (Figure 1A\; median 2 issues\, mean 2.75\, range 1-7). Health 
 burden was most prevalent (48\; 34.3%)\, followed by reduced participation
  (43\; 30.7%)\, reduced contact (41\; 29.3%) and inability to travel (28\;
  20.0%). The strongest raw co-occurrence was reduced participation with he
 alth burden (n=33). The eight-node network formed one connected component 
 with density 0.964 (27 of 28 pairs\; Figure 1B)\; the only absent pair was
  partner separation with hospitalisation. On a graph this dense\, communit
 y detection and centrality are not interpretable: we make no community cla
 im\, and weighted betweenness — nonzero only because of the single absen
 t edge — is reported as descriptive and shown to shift under sensitivity
  analysis.\n\nEdge metric choice was decisive. Raw counts conflate prevale
 nce with association. Re-expressing edges as lift (observed/expected under
  independence) and Jaccard similarity reordered the structure (Figure 1C):
  loss of paid work with inability to travel showed the highest lift (2.14)
  and second-highest Jaccard (0.53) despite ranking tenth by count (n=18)\,
  while reduced contact with health burden (n=24) co-occurred at chance lev
 els (lift 0.98) and partner separation with health burden below chance (li
 ft 0.56). Sensitivity analysis left prevalence rankings and strongest pair
 s unchanged.\n\nFor research\, co-occurrence networks of coded qualitative
  data reveal structure that thematic reporting hides\, but only if edges a
 re modelled as association rather than frequency and interpretation avoids
  centrality claims on near-complete graphs. For policy\, combinations iden
 tify a concrete target: a six-issue cluster (reduced contact\, loss of pai
 d work\, reduced participation\, financial hardship\, inability to travel 
 and health burden) reported by 8 participants (Figure 1D)\, a subgroup car
 rying social\, financial and health burdens missed by single-issue respons
 es. The study demonstrates a transparent\, auditable path from multiply co
 ded qualitative data to a reproducible network\, and motivates a planned m
 ultilayer analysis of invisibility\, healthcare exclusion\, support needs 
 and participant-proposed solutions.
DTSTAMP:20261013T065914Z
LOCATION:Drawing Room
SUMMARY:A densely connected burden: co-occurring health\, social and servic
 e issues among frail\, homebound and bedridden people - Dr Maria Alejandra
  Pinero de Plaza\, PhD\, CHIA
URL:https://conferences.acspri.org.au/2026/talk/3B7NB7/
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