Group | n_people | mean_age | mean_gender | mean_education | mean_ADI_S | mean_ADI_N | mean_SDOH_count | mean_SDOH_binary | mean_SDOH_intensity | round | facilitator | model |
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 8 | 58.38 | 1.75 | 16.57 | 4.29 | 56.00 | 3.12 | 0.00 | 0.00 | 1 | JF | ./Arches-CLD-JFT-MS-17-03-23-Final.mdl |
2 | 11 | 59.64 | 1.91 | 15.70 | 5.10 | 59.00 | 5.55 | 0.27 | 0.09 | 1 | JF | ./Arches-GMB-Vensim-18-3-23-Final.mdl |
3 | 6 | 68.50 | 1.83 | 15.40 | 8.20 | 84.80 | 6.00 | 0.00 | 0.00 | 1 | MM | ./Arches-CLD.3.19.2023_MM-AW-final.mdl |
4 | 6 | 67.83 | 2.00 | 15.75 | 7.00 | 74.25 | 3.50 | 0.00 | 0.00 | 1 | JF | ./CLD-19-03-23-G2_JF_RAM_6_Final.mdl |
5 | 8 | 66.38 | 1.88 | 15.20 | 7.00 | 76.00 | 5.38 | 0.00 | 0.00 | 1 | JF | ./ARCHES GMB Vensim Number 01 03.24.2023_Final.mdl |
6 | 7 | 69.00 | 1.86 | 15.25 | 5.00 | 62.25 | 5.86 | 0.14 | 0.05 | 1 | MS | ./ARCHES GMB Vensim Number 02 03.24.2023_MS&AW-Final.mdl |
7 | 7 | 68.57 | 1.86 | 16.00 | 9.00 | 89.67 | 4.00 | 0.14 | 0.05 | 1 | AW | ./ARCHES GMB Vensim Number 01-AW-WZ-03.25.2023_Final.mdl |
8 | 6 | 60.17 | 2.00 | 14.25 | 7.00 | 74.50 | 5.33 | 0.00 | 0.00 | 1 | JF | ./ARCHES-GMB-JFT-NR-03-25-23-Final.mdl |
9 | 5 | 62.40 | 1.60 | 13.20 | 6.75 | 77.00 | 11.40 | 0.40 | 0.19 | 2 | JF | ./Arches-GMB-Standardized-JFT-Ram-05-03-24-Final.mdl |
10 | 7 | 69.71 | 2.00 | 14.71 | 4.86 | 62.71 | 6.29 | 0.00 | 0.00 | 2 | AW | ./ARCHES-GMB-AW-CC-05-03-24-Final.mdl |
11 | 5 | 63.40 | 1.80 | 14.80 | 6.20 | 73.40 | 6.60 | 0.20 | 0.08 | 2 | AW | ./ARCHES-GMB-Standardised-AW-MM-05-0424-final.mdl |
12 | 4 | 57.75 | 1.00 | 18.00 | 3.50 | 49.75 | 5.50 | 0.00 | 0.00 | 2 | JF | ./Standardized ARCHES-05-05-24-Meena,JF,Chen-final.mdl |
13 | 6 | 64.00 | 2.00 | 15.50 | 6.83 | 73.33 | 3.00 | 0.00 | 0.00 | 2 | AW | ./ARCHES-GMB-5.5.24-AW-Ram-standardized-final.mdl |
14 | 8 | 68.50 | 1.75 | 14.88 | 5.75 | 72.00 | 3.75 | 0.00 | 0.00 | 2 | JF | ./May 10 JF_chen.mdl |
15 | 8 | 61.38 | 2.00 | 13.88 | 6.12 | 69.62 | 5.88 | 0.12 | 0.04 | 2 | AW | ./ARCHES051024.mdl |
16 | 7 | 59.57 | 1.86 | 14.57 | 6.14 | 72.71 | 8.29 | 0.14 | 0.05 | 2 | JF | ./GMB_Vesim Diagram_05112024_Shuya (1).mdl |
17 | 7 | 65.29 | 2.00 | 17.29 | 7.57 | 79.43 | 3.57 | 0.00 | 0.00 | 2 | AW | ./ARCHES_workshop_5.11.24_AWgroup.mdl |
18 | 6 | 66.33 | 2.00 | 14.00 | 7.83 | 83.17 | 5.17 | 0.00 | 0.00 | 2 | JF | ./Arches-GMB-YZ-JF-5-16-24-Final.mdl |
19 | 5 | 64.40 | 2.00 | 16.80 | 8.00 | 86.60 | 4.20 | 0.00 | 0.00 | 2 | AW | ./Arches-GMB-05-16-24-AW&YZ-Final.mdl |
20 | 8 | 62.38 | 1.00 | 13.25 | 6.75 | 76.38 | 9.38 | 0.25 | 0.10 | 2 | MM | ./Arches-GMB-Standardized-MS-MM-05.16.24-final.mdl |
21 | 5 | 60.00 | 2.00 | 14.20 | 6.20 | 74.00 | 9.80 | 0.40 | 0.15 | 2 | JF | ./Arches-GMB-5-17-24JF-Final.mdl |
22 | 8 | 72.75 | 1.88 | 14.75 | 7.25 | 81.38 | 5.62 | 0.12 | 0.04 | 2 | AW | ./Arches-GMB-Standardized-AW-T-05-17-24-Final-v2.mdl |
23 | 6 | 74.83 | 2.00 | 17.17 | 5.67 | 71.33 | 2.83 | 0.00 | 0.00 | 2 | MM | ./Arches-GMB-Mario-05-1724-Final.mdl |
24 | 6 | 69.83 | 2.00 | 16.33 | 8.17 | 87.17 | 5.50 | 0.00 | 0.00 | 2 | JF | ./Arches-GMB-5-18-24-JFT-MS-Final.mdl |
25 | 7 | 68.43 | 2.00 | 15.57 | 9.14 | 91.86 | 3.43 | 0.00 | 0.00 | 2 | AW | ./ARCHES_GMB-5.18.24-AW&TB-Final.mdl |
26 | 6 | 67.33 | 2.00 | 15.83 | 7.33 | 80.83 | 3.80 | 0.00 | 0.00 | 2 | MM | ./Arches-GMB-05-18Mario-Yiou-Final.mdl |
27 | 3 | 66.67 | 1.00 | 14.67 | 5.33 | 63.33 | 9.33 | 0.33 | 0.18 | 3 | JF | ./ARCHES CLD 10_19_24_JFT_Mia_Updated_Final_11.13.24.mdl |
28 | 8 | 58.00 | 2.00 | 14.00 | 5.62 | 64.50 | 11.50 | 0.62 | 0.24 | 3 | AW | ./ARCHES CLD 10_19_24_AW_Chen_updated_V4_Final_11.14.24.mdl |
29 | 4 | 56.50 | 1.00 | 12.50 | 8.50 | 88.75 | 8.75 | 0.00 | 0.00 | 3 | MM | ./ARCHE CLD 10_19_24_Mario_JW_updated_Final_11.14.24.mdl |
30 | 6 | 62.83 | 2.00 | 14.67 | 5.67 | 69.50 | 6.50 | 0.17 | 0.05 | 3 | JF | ./ARCHES CLD 10_20_2024_JFT_Mia_Final_11.14.24.mdl |
31 | 5 | 58.60 | 2.00 | 14.80 | 7.60 | 82.20 | 7.80 | 0.40 | 0.17 | 3 | AW | ./ARCHES CLD 10_20_2024_AW_Chen_updated_final_11.14.24.mdl |
32 | 5 | 56.40 | 1.00 | 11.60 | 9.20 | 92.60 | 8.67 | 0.33 | 0.11 | 3 | MM | ./ARCHES CLD 10_20_24_MM_JW_V5_updated_Final_11.15..24.mdl |
33 | 8 | 66.75 | 2.00 | 16.12 | 7.86 | 84.29 | 7.29 | 0.29 | 0.10 | 3 | JF | ./ARCHES CLD 10_25_2024_JFT_Mia_Updated_Final_11.15.2024.mdl |
34 | 8 | 72.62 | 2.00 | 14.38 | 8.00 | 84.25 | 4.00 | 0.12 | 0.04 | 3 | AW | ./ARCHES CLD 10_25_24_Alexis_Vishnu_Updated_Final_11_15.24.mdl |
35 | 8 | 71.50 | 1.62 | 14.62 | 7.38 | 75.62 | 4.67 | 0.00 | 0.00 | 3 | MM | ./ARCHE CLD 10_25_24_Mario_Inema-JFT_Updated_final_11.15.24.mdl |
36 | 6 | 68.33 | 2.00 | 14.67 | 7.00 | 77.00 | 3.17 | 0.00 | 0.00 | 3 | RS | ./ARCHES CLD 10_25_24_RS_TB_Updated_Final_11.15.2024.mdl |
ARCHES Final Analysis
ARCHES Final (Rounds 1, 2, and 3)
Jan 22 version
—– 0) Goals:
Quantify and characterize the effects, if any, that age, education, gender, and deprivation status (as group averages) have on the way that groups conceptualize the Dementia Risk system.
1) Demographics of groups
After completing three rounds with a total of 36 groups, there’s now a good range of variation among groups for the group characteristics.
2) Models
We now have 36 models from these 36 groups. Here’s a summary of each and interactive examples of three of them. As before, light blue indicates “increase” and light pink “decrease”. Darker colors are Action Ideas.
Group | number_edges | number_unique_nodes |
---|---|---|
1 | 73 | 45 |
2 | 116 | 81 |
3 | 94 | 73 |
4 | 108 | 67 |
5 | 122 | 65 |
6 | 116 | 68 |
7 | 98 | 56 |
8 | 137 | 74 |
9 | 118 | 66 |
10 | 67 | 41 |
11 | 68 | 43 |
12 | 115 | 57 |
13 | 141 | 51 |
14 | 108 | 63 |
15 | 100 | 46 |
16 | 72 | 46 |
17 | 98 | 32 |
18 | 106 | 61 |
19 | 91 | 52 |
20 | 101 | 50 |
21 | 126 | 76 |
22 | 125 | 59 |
23 | 59 | 45 |
24 | 145 | 76 |
25 | 197 | 60 |
26 | 72 | 35 |
27 | 69 | 44 |
28 | 148 | 57 |
29 | 96 | 56 |
30 | 141 | 74 |
31 | 138 | 47 |
32 | 107 | 42 |
33 | 148 | 62 |
34 | 169 | 53 |
35 | 101 | 39 |
36 | 136 | 63 |
3) Core model
As before, we built a model from the union set (i.e. including every edge from every group), and then focused it to a core model by A) considering only loops/cycles (so no ‘externals’ or ‘dead end’ nodes) and B) only considering those that have some connection to Dementia Risk
. This gives us finally 89 nodes/vertices, connected by 417 edges/vectors.
Here’s an interactive version of this, with heavier line weight indicating connections reported by many models.
4) Indirect (i.e. intervening nodes)
When considering the similarity among the models different group propose (as in, e.g. calculating line width above), we have so far only considered as simlar groups that directly/explicitly named a certain connection between two nodes (a direct edge), e.g. (Group 1: “A increases B” = Group 2 “A increases B). However, thinking of each edge seperately does not fully characterize this connected system, which I would argue importantly includes the effects emergent from multiple connections. To approximate this, we may consider indirect edges from models that express the same causality, but with intervening nodes, e.g. (Group 1:”A increases B” = Group 2 “A increases C increases B”).
The table below shows the 89 edges (i.e. combination of “cause”, “increases / decreases” and “effect), total number of group models that that reported the edge, and which group models reported them as direct or indirect edges. You may have to scroll to the right to see all of the columns.
cause | polarity | effect | total models | models (direct) | models (indirect) |
---|---|---|---|---|---|
Health literacy | decreases | Dementia risk | 30 | 20,26,28,32,35 | 1,2,3,4,5,6,8,9,10,11,12,13,15,17,18,19,21,22,24,25,29,30,33,34,36 |
Stress | increases | Dementia risk | 27 | 4,6,13,14,15,22,33,34,36 | 3,5,7,8,9,12,16,17,19,20,21,24,25,26,28,30,32,35 |
Chronic disease | increases | Dementia risk | 25 | 1,3,4,5,6,9,10,12,13,14,16,18,21,22,25,27,30,33,34,35 | 2,20,24,28,32 |
Healthy diet | decreases | Dementia risk | 25 | 5,10,12,32,36 | 1,2,3,4,6,7,8,9,16,17,18,19,21,22,24,25,28,29,30,33 |
Social isolation | increases | Dementia risk | 24 | 1,7,13,17,25,26,29,33,34 | 2,3,5,6,8,9,12,14,20,21,22,24,28,30,35 |
Access to quality healthcare | decreases | Dementia risk | 24 | 3,4,14,20,23 | 1,6,8,9,12,13,16,17,19,21,22,24,27,29,30,32,33,35,36 |
Healthy diet | decreases | Chronic disease | 23 | 1,4,6,7,8,9,10,18,21,22,25,28,30,31,33,36 | 3,5,12,16,24,32,35 |
Access to quality jobs | increases | Income | 22 | 2,3,4,8,9,10,11,14,15,16,17,18,21,22,24,25,27,28,29,33,34,36 | |
Stress | decreases | Mental health | 22 | 3,4,5,6,7,8,12,16,17,20,25,26,29,30,32,35 | 9,19,21,24,34,36 |
Income | increases | Healthy diet | 22 | 3,6,8,10,11,17,19,24,28,33,36 | 4,9,14,16,18,21,25,29,32,34,35 |
Dementia risk | increases | Stress | 22 | 8,14,15,22,25,28,34,35 | 5,11,12,13,16,17,20,21,23,24,26,30,32,33 |
Exercise | decreases | Dementia risk | 22 | 5,12,15,26,28,29,36 | 1,2,4,7,9,14,16,17,19,20,21,24,25,27,32 |
Income | increases | Access to quality healthcare | 22 | 3,13,15,21,23,25,35 | 4,8,9,11,14,16,17,19,22,24,26,27,32,33,36 |
Income | decreases | Stress | 22 | 11,17,19,28,29,34,36 | 6,8,9,13,14,15,16,21,23,24,25,26,32,33,35 |
Access to quality jobs | decreases | Stress | 22 | 3,11,14,16,17,20 | 5,7,8,12,13,15,21,22,24,25,28,29,30,33,34,36 |
Health literacy | decreases | Stress | 22 | 6,8,9,26 | 5,11,12,13,15,17,20,21,22,23,24,25,28,30,32,33,34,35 |
Access to quality jobs | increases | Access to quality healthcare | 22 | 29,33,36 | 1,3,4,7,8,9,11,12,14,15,16,17,19,21,22,24,25,27,30 |
Quality health insurance | increases | Access to quality healthcare | 21 | 1,3,7,8,9,13,14,15,16,17,19,21,22,24,26,27,29,33,36 | 25,30 |
Access to quality education | increases | Access to quality jobs | 21 | 5,6,13,15,16,18,20,21,24,25,27,28,30,33,36 | 2,3,4,9,11,19 |
Dementia risk | increases | Social isolation | 21 | 1,8,10,19,20,22,26,29,33 | 9,12,13,17,18,21,24,25,28,30,34,36 |
Substance use | increases | Dementia risk | 21 | 5,15,17,28,32,36 | 2,3,6,8,9,12,13,14,18,20,21,22,24,25,34 |
Dementia risk | decreases | Healthy diet | 21 | 10,11,34 | 1,4,8,9,12,14,16,17,18,21,24,25,28,30,32,33,35,36 |
Income | increases | Quality health insurance | 20 | 3,6,13,14,15,16,17,18,19,23,24,25,26 | 8,9,10,22,27,33,36 |
Stress | increases | Substance use | 20 | 5,7,8,12,13,14,20,21,25,28,30,32,34 | 3,9,15,17,22,26,29 |
Health literacy | increases | Healthy diet | 20 | 1,4,5,10,11,18,29,30,32,33 | 8,9,12,17,21,24,25,28,34,36 |
Access to quality healthcare | increases | Health literacy | 20 | 8,9,14,19,24,32,35 | 1,6,12,13,15,17,20,22,23,25,30,31,33 |
Access to quality healthcare | increases | Mental health | 20 | 20,21,27,29 | 4,6,8,9,11,12,16,17,19,24,25,30,31,32,35,36 |
Access to quality jobs | increases | Quality health insurance | 19 | 1,5,8,9,10,14,16,17,18,27,30,33,36 | 3,15,20,22,24,25 |
Mental health | decreases | Dementia risk | 19 | 8,9,12,17,20,21,24,25,26,30,32,35,36 | 3,7,16,18,27,34 |
Health literacy | increases | Exercise | 19 | 1,4,5,11,24,30 | 8,9,12,15,17,20,25,26,28,29,31,32,36 |
Access to quality healthcare | decreases | Stress | 19 | 11,14,22,25 | 6,8,9,12,13,16,17,20,21,23,24,30,32,33,35 |
Dementia risk | increases | Chronic disease | 19 | 10,12,25,35 | 1,4,5,8,9,13,14,18,21,22,28,32,33,34,36 |
Health literacy | increases | Access to quality healthcare | 19 | 13,17,35,36 | 3,7,8,9,12,15,18,19,21,22,25,31,32,33,34 |
Food desert | decreases | Healthy diet | 18 | 1,4,6,7,8,9,11,12,14,16,18,19,25,28,30,36 | 5,33 |
Stress | increases | Chronic disease | 18 | 5,6,8,12,13,14,25,28,32,33 | 4,9,16,21,30,34,35,36 |
Dementia risk | decreases | Mental health | 18 | 5,8,18,25,32,35,36 | 4,12,16,17,20,21,24,26,29,30,34 |
Exercise | increases | Mental health | 18 | 7,9,19,20,25,27,32 | 4,5,12,16,17,21,24,26,29,31,36 |
Chronic disease | increases | Stress | 18 | 6,7,12,30,33,34 | 5,13,14,16,20,21,22,24,25,28,32,35 |
Stress | increases | Social isolation | 18 | 12,13,17,22 | 6,8,9,19,20,21,24,25,26,28,30,33,34,36 |
Dementia risk | decreases | Access to quality jobs | 18 | 10,20,25 | 1,5,8,12,13,15,16,17,18,21,24,28,30,33,34 |
Social isolation | increases | Stress | 18 | 8,25,34 | 6,9,12,13,14,17,20,21,22,24,26,28,30,33,35 |
Substance use | increases | Stress | 18 | 22,25,34 | 5,6,8,9,12,13,14,15,17,20,21,24,28,32,36 |
Crime | increases | Stress | 17 | 6,7,10,13,21,24,25,30,34,35 | 5,8,9,11,14,15,22 |
Substance use | decreases | Mental health | 17 | 3,5,6,20,25,31,36 | 8,9,12,17,18,21,24,29,32,34 |
Mental health | decreases | Substance use | 16 | 3,8,9,25,26,29,31 | 7,12,17,18,20,21,30,32,34 |
Social isolation | decreases | Mental health | 16 | 5,17,20,25,30,34,35 | 3,6,8,9,12,21,24,26,29 |
Access to quality education | decreases | Crime | 16 | 10,14,19,21,25,36 | 2,3,5,9,13,15,18,27,28,30 |
Exercise | decreases | Chronic disease | 16 | 1,4,7,8,14,25 | 5,9,12,16,21,24,28,31,32,36 |
Stress | decreases | Sleep | 16 | 4,9,15,17,30 | 3,8,14,21,22,24,25,28,32,34,35 |
Exercise | decreases | Stress | 16 | 7,14,15,25 | 5,9,11,12,16,19,20,21,24,26,28,32 |
Healthy diet | increases | Mental health | 16 | 7,24,30,31 | 4,5,6,8,12,16,18,21,25,29,32,36 |
Healthy diet | decreases | Stress | 16 | 22,24,25,28 | 5,6,7,8,11,12,16,17,21,30,32,33 |
Crime | increases | Social isolation | 16 | 7,18,24 | 6,8,9,10,13,19,21,22,25,28,30,34,36 |
Dementia risk | decreases | Income | 16 | 22,34,35 | 2,8,10,15,16,17,18,21,24,25,28,32,33 |
Quality health insurance | decreases | Stress | 16 | 17,20,22 | 5,6,8,9,13,14,16,21,24,25,26,30,33 |
Substance use | increases | Chronic disease | 16 | 6,25,28 | 2,5,8,9,12,13,14,18,21,22,31,32,36 |
Community support | increases | Health literacy | 15 | 1,3,9,12,13,14,19,32 | 2,6,20,26,28,30,31 |
Mental health | decreases | Stress | 15 | 7,20,21,24,25,26,34,35 | 8,9,12,16,17,30,32 |
Dementia risk | decreases | Exercise | 15 | 17,20,29 | 5,8,14,15,16,24,25,26,28,30,32,36 |
Substance use | decreases | Access to quality jobs | 15 | 17,28,36 | 5,8,9,12,13,15,18,20,21,24,25,34 |
Dementia risk | decreases | Health literacy | 14 | 20,23,26,35 | 13,14,15,17,22,25,28,30,32,33 |
Community support | increases | Mental health | 14 | 4,16,21 | 3,6,9,12,19,20,24,26,30,31,32 |
Dementia risk | decreases | Sleep | 14 | 10,28,35 | 8,14,15,17,21,22,24,25,30,32,34 |
Exercise | increases | Physical health | 13 | 2,3,7,11,15,19,20,30,36 | 1,9,14,31 |
Income | decreases | Crime | 13 | 6,8,19,25,34,35,36 | 9,15,18,21,27,28 |
Community support | decreases | Social isolation | 13 | 12,14,18,19,20,24 | 6,9,13,21,26,28,30 |
Sleep | decreases | Stress | 13 | 14,15,22,25,28 | 7,8,9,17,24,32,34,35 |
Access to quality jobs | decreases | Poverty | 13 | 9,12,30,33 | 2,4,11,14,15,18,21,24,27 |
Access to quality jobs | decreases | Crime | 13 | 2,30,36 | 5,8,15,18,19,21,25,27,28,34 |
Family quality relations | decreases | Substance use | 13 | 25,31,36 | 3,13,14,15,17,18,21,29,30,34 |
Health literacy | increases | Self advocacy for health services | 12 | 3,6,12,17,22,30,32,34,35,36 | 21,31 |
Substance use | increases | Crime | 12 | 5,8,9,15,18,24,25,31,34,36 | 21,28 |
Brain activity | decreases | Dementia risk | 12 | 3,5,11,12,13,15,28,29 | 9,17,24,36 |
Family caregiving | decreases | Access to quality jobs | 12 | 1,4,5,8,9,21,25,34 | 12,16,24,28 |
Family caregiving | increases | Stress | 12 | 5,8,12,14,24,25,28,34 | 6,16,21,35 |
Healthy diet | increases | Physical health | 12 | 3,7,8,11,19,31 | 1,2,9,18,30,36 |
Depression | increases | Dementia risk | 12 | 14,18,27,28,33 | 6,9,12,21,22,24,36 |
Family quality relations | decreases | Social isolation | 12 | 10,18,24,29,34 | 1,13,17,21,25,30,36 |
Access to quality healthcare | increases | Physical health | 12 | 11,13,20,31 | 3,8,9,14,15,19,30,36 |
Appropriate medication | decreases | Dementia risk | 12 | 9,23,24,26 | 5,8,16,18,20,21,27,29 |
Depression | increases | Social isolation | 12 | 6,10,19,22 | 9,12,18,21,24,28,33,36 |
Income | decreases | Homelessness | 12 | 2,16,17,22 | 4,9,13,14,19,24,27,28 |
Dementia risk | decreases | Brain activity | 12 | 23,26,36 | 5,12,13,15,17,21,24,28,29 |
Exercise | increases | Brain activity | 12 | 17,31,36 | 5,9,12,15,21,24,26,28,29 |
Mental health | increases | Access to quality jobs | 12 | 9,17,24 | 8,12,16,18,20,21,25,30,34 |
Mental health | increases | Exercise | 12 | 31,32,36 | 8,9,16,17,20,24,25,26,30 |
Taxes | increases | Access to quality education | 12 | 10,13,27 | 8,12,14,15,19,21,24,25,28 |
Income | decreases | Poverty | 11 | 4,9,11,14,15,18,21,24,27,33 | 2 |
Public transportation | increases | Access to quality jobs | 11 | 8,13,17,19,20,25,34,36 | 10,15,30 |
Public transportation | increases | Access to quality healthcare | 11 | 3,4,7,8,13,15,19 | 17,25,34,36 |
Self advocacy for health services | increases | Access to quality healthcare | 11 | 3,22,31,33,34,35 | 12,16,17,21,32 |
Family quality relations | decreases | Stress | 11 | 13,17,25,34,36 | 14,15,21,23,24,30 |
Quality health insurance | increases | Regular healthcare visits | 11 | 2,20,22,25 | 9,10,14,15,16,24,30 |
Self advocacy for health services | increases | Health literacy | 11 | 12,30,34,35 | 6,17,22,28,31,32,33 |
Dementia risk | decreases | Family quality relations | 11 | 10,21,29 | 4,14,15,18,24,25,30,34 |
Family quality relations | increases | Mental health | 11 | 17,21,25 | 3,18,24,29,30,31,34,36 |
Mental health | increases | Sleep | 11 | 3,30,35 | 8,9,17,21,24,25,32,34 |
Stress | increases | Depression | 10 | 6,9,12,14,21,22,24,33 | 3,28 |
Dementia risk | increases | Family caregiving | 10 | 2,8,12,21,24,25,34 | 1,5,16 |
Crime | increases | Food desert | 10 | 4,5,8,9,18 | 6,14,25,28,36 |
Social isolation | increases | Depression | 10 | 6,9,14,22,33 | 3,12,21,24,28 |
Chronic disease | decreases | Physical health | 10 | 7,9,20,30 | 1,2,13,14,18,31 |
Dementia risk | decreases | Physical health | 10 | 11,18,20,36 | 1,2,9,14,15,30 |
Mental health | decreases | Crime | 10 | 8,34,35,36 | 9,18,21,25,30,31 |
Access to quality healthcare | increases | Regular healthcare visits | 10 | 9,14,23 | 15,16,20,22,24,25,31 |
Community support | increases | Brain activity | 10 | 23,24,26 | 3,9,12,13,21,28,31 |
Crime | decreases | Family quality relations | 10 | 4,18,30 | 14,15,21,24,25,31,34 |
Depression | increases | Stress | 10 | 9,21,24 | 6,12,14,22,28,33,36 |
Exercise | increases | Self care | 10 | 19,21,26 | 2,9,12,15,17,25,28 |
Preventive health testing | decreases | Dementia risk | 10 | 14,17,25 | 2,11,12,13,16,20,27 |
Stress | decreases | Physical health | 10 | 7,11,30 | 8,9,14,15,19,20,36 |
Crime | decreases | Safe neighborhood | 9 | 6,8,11,12,15,22,31,34,36 | |
Regular healthcare visits | decreases | Chronic disease | 9 | 2,10,16,25,30 | 9,13,14,31 |
Exercise | increases | Sleep | 9 | 15,17,25,32 | 9,14,21,24,28 |
Sleep | increases | Mental health | 9 | 7,8,34,35 | 9,17,24,25,32 |
Self care | decreases | Stress | 9 | 15,19,26 | 9,12,17,21,25,28 |
Side effects of medication | increases | Dementia risk | 9 | 2,13,36 | 15,17,21,22,24,34 |
Stress | decreases | Self care | 9 | 6,12,25 | 9,15,17,21,26,28 |
Substance use | increases | Homelessness | 9 | 2,13,22 | 9,14,17,19,24,28 |
Substance use | decreases | Self care | 9 | 2,12,25 | 6,9,15,17,21,28 |
Crime | decreases | Black business | 8 | 7,8,13,15,24,25,31 | 2 |
Access to quality healthcare | increases | Preventive health testing | 8 | 12,13,15,16,27 | 14,17,25 |
Poverty | increases | Crime | 8 | 9,13,15,24,30 | 18,21,27 |
Depression | increases | Substance use | 8 | 18,21,28,36 | 9,12,14,22 |
Misdiagnosis | increases | Dementia risk | 8 | 2,5,25,30 | 6,33,34,36 |
Self care | increases | Exercise | 8 | 9,19,25,28 | 12,15,17,26 |
Social isolation | decreases | Community support | 8 | 6,12,13,20 | 3,24,25,26 |
Appropriate medication | decreases | Substance use | 8 | 8,21,30 | 9,18,20,26,29 |
Dementia risk | increases | Health literacy | 8 | 1,2,21 | 8,9,12,24,34 |
Exercise | decreases | Depression | 8 | 3,27,28 | 9,12,14,21,24 |
Health literacy | increases | Family caregiving | 8 | 1,4,35 | 2,7,10,15,28 |
Health literacy | increases | Regular healthcare visits | 8 | 10,23,24 | 9,20,22,25,31 |
Poverty | increases | Stress | 8 | 12,13,21 | 9,15,24,30,33 |
Regular healthcare visits | increases | Physical health | 8 | 19,20,31 | 2,9,13,14,30 |
Appropriate medication | decreases | Chronic disease | 7 | 5,8,9,16,18,27 | 21 |
Education level | increases | Access to quality jobs | 7 | 1,2,3,7,9,11 | 12 |
Income | increases | Private transportation | 7 | 2,10,19,25,28,34 | 4 |
Black business | increases | Access to quality jobs | 7 | 8,12,13,15,24 | 7,25 |
Depression | decreases | Mental health | 7 | 6,9,12,18,24 | 21,36 |
Homelessness | increases | Stress | 7 | 9,14,17,28 | 13,16,24 |
Income | increases | Quality neighborhood | 7 | 11,15,23,25 | 18,28,36 |
Over medication | increases | Dementia risk | 7 | 17,26,34,36 | 2,32,33 |
Physical health | decreases | Dementia risk | 7 | 2,9,19,20 | 8,13,36 |
Preventive health testing | decreases | Chronic disease | 7 | 2,16,25,27 | 12,13,14 |
Private transportation | increases | Access to quality healthcare | 7 | 1,7,11,19 | 25,34,36 |
Self care | increases | Healthy diet | 7 | 9,19,21,25 | 12,17,28 |
Chronic disease | increases | Mortality | 7 | 27,31,33 | 18,24,28,30 |
Dementia risk | increases | Over medication | 7 | 15,26,34 | 17,30,33,36 |
Over medication | increases | Substance use | 7 | 2,17,30 | 15,26,32,34 |
Poverty | increases | Depression | 7 | 18,24,33 | 9,12,21,27 |
Self care | increases | Mental health | 7 | 17,19,25 | 9,12,21,26 |
Taxes | increases | Public resources | 6 | 3,14,22,24,28 | 21 |
Access to quality healthcare | increases | Appropriate medication | 6 | 8,23,24,27 | 6,9 |
Dementia risk | increases | Regular healthcare visits | 6 | 9,15,30,33 | 2,24 |
Knowledge of family health history | increases | Health literacy | 6 | 11,17,31,34 | 9,15 |
Misdiagnosis | increases | Stress | 6 | 6,25,33,34 | 5,30 |
Private transportation | increases | Access to quality jobs | 6 | 19,25,28,36 | 10,34 |
Public resources | increases | Access to quality education | 6 | 2,9,14,28 | 19,24 |
Taxes | increases | Public transportation | 6 | 8,10,13,19 | 15,28 |
Physical health | decreases | Stress | 6 | 7,11,13 | 8,15,20 |
Public transportation | increases | Access to quality education | 6 | 13,19,25 | 8,15,20 |
Quality neighborhood | increases | Access to quality education | 6 | 11,13,15 | 18,25,28 |
Self care | increases | Sleep | 6 | 15,17,25 | 9,21,28 |
Sleep | decreases | Depression | 6 | 3,24,28 | 9,14,22 |
Social isolation | decreases | Self esteem | 6 | 21,22,34 | 9,25,33 |
Crime | decreases | Quality neighborhood | 5 | 13,15,18,25,36 | |
Access to quality healthcare | decreases | Misdiagnosis | 5 | 6,30,33,36 | 25 |
Family quality relations | increases | Family caregiving | 5 | 10,15,23,34 | 1 |
Healthy diet | decreases | Obesity | 5 | 3,24,33,36 | 32 |
Obesity | increases | Chronic disease | 5 | 3,24,27,33 | 32 |
Over medication | increases | Side effects of medication | 5 | 15,17,34,36 | 2 |
Family quality relations | increases | Knowledge of family health history | 5 | 15,31,34 | 17,29 |
Mortality | decreases | Family quality relations | 5 | 24,31,34 | 15,30 |
Mortality | increases | Social isolation | 5 | 30,33,34 | 24,28 |
Poverty | increases | Homelessness | 5 | 9,24,27 | 2,13 |
Public transportation | increases | Regular healthcare visits | 5 | 2,15,20 | 10,25 |
Safe neighborhood | decreases | Stress | 5 | 11,15,34 | 3,6 |
Self esteem | decreases | Stress | 5 | 21,23,34 | 9,25 |
Access to quality education | increases | Education level | 4 | 2,3,9,11 | |
AI Awareness about lifestyle | increases | Healthy diet | 4 | 7,8,12 | 5 |
Misdiagnosis | increases | Mortality | 4 | 25,33,34 | 30 |
Misdiagnosis | increases | Over medication | 4 | 33,34,36 | 30 |
Physical health | increases | Mental health | 4 | 8,20,36 | 7 |
Black business | increases | Tax revenue | 3 | 7,15,25 | |
Health literacy | increases | AI Awareness about lifestyle | 3 | 5,8,12 | |
Quality neighborhood | increases | Taxes | 3 | 11,15,25 | |
Tax revenue | increases | Quality neighborhood | 3 | 11,18,25 |
5) Fitting characteristics of groups to similarity of the models they propose
Using this method (indirect & direct edges) of quantifying the similarity of one model to another, we may use methods borrowed from ecology to 1) construct a matrix of (dis-)similarity of each model to each other model, 2) use non-metric multidimensional scaling (NMMDS) to represent this multi-dimensional set of distances in a two-dimensional space, and 3) fit various characteristics of model-building groups the distances of models from one another in this NMMDS ordination space. (Note: the fit algorithm compares the fit of the observed characteristic to 999 permuted data sets, and so pvalues may vary slightly in each run)
Here are the fits for group means of age, gender (M=1, F=2), education, ADI State, ADI National, three measures of SDOH, and in addition which round groups participated in, and who was their main facilitator.
We see that group means of ADI National and (to a slightly lesser degree) ADI State have significant (pval<0.05) and moderately strong (r-squared ~0.30) fit with where a group’s model falls in the ordination space. Group mean age has a borderline significant (p ~0.05) and less strong (r-squared ~0.15) fit, and other factors do not show a significant fit.
p-value | r-squared | |
---|---|---|
mean_age | 0.217 | 0.087 |
mean_gender | 0.271 | 0.081 |
mean_education | 0.453 | 0.047 |
mean_ADI_S | 0.009 | 0.266 |
mean_ADI_N | 0.005 | 0.287 |
mean_SDOH_count | 0.077 | 0.141 |
mean_SDOH_binary | 0.395 | 0.049 |
mean_SDOH_intensity | 0.398 | 0.050 |
round | 0.198 | 0.093 |
facilitator | 0.717 | 0.078 |
If we break ADI National and SDOH Count (a continuous variable) into quantile categories (lowest 25%, middle 50%, highest 25%), we can see there’s little overlap between the space of the low and high ADI groups and between the low and high SDOH groups, and in each case they are bridged by the mid group.
Here, each point is one group’s model, and distances between each pair of points are defined by the dis-similarity in the edges (indirect and direct) in those models. So, points that are relatively close together are groups that had similar models, points that are widely spaced apart had more dis-similar models. I’ve colored and drawn outlines around groups that fell into each of the three ADI categories.
Together, this means that: 1) average ADI of group members determines a significant (~20-30%) of their perceived system structure; and 2) average SDOH also determines a significant amount AND that these are not totally overlapping — meaning that knowing average ADI and average SDOH of a group would allow us to better predict what system structural components (indirect connections) it might report.
We may also characterize which components are relatively more common in these ADI and SDOH categories, (i.e. what the differences are that are driving the dissimilarity).
_____
Every edge that occurred in at least 75% of one ADI group
Multilevel pattern analysis
---------------------------
Association function: IndVal.g
Significance level (alpha): 0.05
Total number of species: 187
Selected number of species: 13
Number of species associated to 1 group: 2
Number of species associated to 2 groups: 11
List of species associated to each combination:
Group 2 #sps. 2
A B stat p.value
Self care 1 Healthy diet 1.0000 0.3889 0.624 0.025 *
Exercise -1 Depression 0.7778 0.3889 0.550 0.040 *
Group 1+2 #sps. 4
A B stat p.value
Access to quality jobs 1 Income 0.8750 0.7407 0.805 0.015 *
Dementia risk 1 Social isolation 0.8667 0.7037 0.781 0.025 *
Dementia risk 1 Chronic disease 0.8621 0.6296 0.737 0.050 *
Income -1 Homelessness 1.0000 0.4444 0.667 0.030 *
Group 1+3 #sps. 2
A B stat p.value
Dementia risk -1 Physical health 0.8889 0.4444 0.629 0.04 *
Dementia risk 1 Over medication 0.9231 0.3333 0.555 0.05 *
Group 2+3 #sps. 5
A B stat p.value
Access to quality healthcare 1 Mental health 0.9231 0.7037 0.806 0.010 **
Stress -1 Mental health 0.8667 0.7407 0.801 0.035 *
Exercise 1 Mental health 0.9130 0.6296 0.758 0.050 *
Community support 1 Mental health 1.0000 0.5185 0.720 0.025 *
Exercise -1 Stress 0.9091 0.5556 0.711 0.030 *
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
_____
Edges with the greatest difference (at least 40%)
_____
Every edge that occurred in at least 75% of one SDOH group
_____
Edges with the greatest difference by SDOH (at least 40%)
6) Importance of methodology
The analysis above were done using distances based on group models with similar edges (including direct and indirect edges); these are necessarily connected to the connected systems that participants were facilitated in proposing. In contrast, we could do a similar calculation using distances based simply on nodes (that is, what system components participants name during the process) or on direct edges only (that is, the system decomposed into simple linear A increases B connections between nodes).
Interestingly, each of these shows consistently significant fits only for facilitator (and borderline significance for round), suggesting that these more surface-level parts of the system are more affected by methodology.
______
By nodes
______
p-value | r-squared | |
---|---|---|
mean_age | 0.558 | 0.034 |
mean_gender | 0.196 | 0.097 |
mean_education | 0.863 | 0.009 |
mean_ADI_S | 0.102 | 0.129 |
mean_ADI_N | 0.184 | 0.095 |
mean_SDOH_count | 0.537 | 0.038 |
mean_SDOH_binary | 0.406 | 0.056 |
mean_SDOH_intensity | 0.386 | 0.059 |
round | 0.926 | 0.004 |
facilitator | 0.001 | 0.344 |
_____
By direct edges
______
p-value | r-squared | |
---|---|---|
mean_age | 0.374 | 0.057 |
mean_gender | 0.091 | 0.135 |
mean_education | 0.220 | 0.084 |
mean_ADI_S | 0.111 | 0.132 |
mean_ADI_N | 0.139 | 0.118 |
mean_SDOH_count | 0.247 | 0.081 |
mean_SDOH_binary | 0.512 | 0.041 |
mean_SDOH_intensity | 0.446 | 0.050 |
round | 0.374 | 0.057 |
facilitator | 0.022 | 0.237 |