книга базирана на тест «Spiral Dynamics:
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Psychological Analysis of Fear-Based Healthcare Messaging: Comparing HIV/AIDS and COVID-19 Through the Lens of Spiral Dynamics

Dr. Tomás Campbell [1], a member of the BPS Division of Clinical Psychology Faculty for HIV and Sexual Health, article "Towards more inclusive and Empowering Healthcare Campaigns" [2] presents a compelling analysis of the evolution of HIV/AIDS messaging over four decades, tracing a path from fear-based approaches to more empowering, inclusive strategies. This progression reflects significant advances in both medical understanding and psychological approaches to public health communication. 

The SDTEST® survey data on fears provides an excellent opportunity to examine how these evolving messaging strategies align with contemporary fear psychology and value systems as described by Spiral Dynamics theory.


Comparative Analysis of HIV/AIDS and COVID-19 Fear Prevalence


The SDTEST® survey "Fears" involving 3,679 participants across 105 countries reveals that HIV/AIDS now ranks relatively low at 4%, while COVID-19 ranks even lower at just 2%. Below is a abridged version of the survey results. The full results are available for free in the FAQ section after login or registration.


Стравувања

земја
Јазик
-
Mail
Пресметка
Критична вредност на коефициентот на корелација
Нормална дистрибуција, од Вилијам Сеали Госет (студент) r = 0.0315
Нормална дистрибуција, од Вилијам Сеали Госет (студент) r = 0.0315
Не нормална дистрибуција, од Спирман r = 0.0013
ДистрибуцијаНе
нормално
Не
нормално
Не
нормално
НормалноНормалноНормалноНормалноНормално
Сите прашања
Сите прашања
Мојот најголем страв е
Мојот најголем страв е
Answer 1-
Слаба позитивен
0.0518
Слаба позитивен
0.0257
Слаба негативни
-0.0203
Слаба позитивен
0.0942
Слаба позитивен
0.0391
Слаба негативни
-0.0141
Слаба негативни
-0.1546
Answer 2-
Слаба позитивен
0.0178
Слаба негативни
-0.0071
Слаба негативни
-0.0376
Слаба позитивен
0.0631
Слаба позитивен
0.0501
Слаба позитивен
0.0133
Слаба негативни
-0.0955
Answer 3-
Слаба негативни
-0.0025
Слаба негативни
-0.0083
Слаба негативни
-0.0456
Слаба негативни
-0.0432
Слаба позитивен
0.0498
Слаба позитивен
0.0768
Слаба негативни
-0.0241
Answer 4-
Слаба позитивен
0.0428
Слаба позитивен
0.0297
Слаба негативни
-0.0259
Слаба позитивен
0.0175
Слаба позитивен
0.0374
Слаба позитивен
0.0266
Слаба негативни
-0.1027
Answer 5-
Слаба позитивен
0.0228
Слаба позитивен
0.1240
Слаба позитивен
0.0115
Слаба позитивен
0.0735
Слаба позитивен
0.0010
Слаба негативни
-0.0152
Слаба негативни
-0.1755
Answer 6-
Слаба негативни
-0.0021
Слаба позитивен
0.0028
Слаба негативни
-0.0619
Слаба негативни
-0.0110
Слаба позитивен
0.0269
Слаба позитивен
0.0872
Слаба негативни
-0.0366
Answer 7-
Слаба позитивен
0.0107
Слаба позитивен
0.0313
Слаба негативни
-0.0667
Слаба негативни
-0.0310
Слаба позитивен
0.0538
Слаба позитивен
0.0715
Слаба негативни
-0.0532
Answer 8-
Слаба позитивен
0.0653
Слаба позитивен
0.0688
Слаба негативни
-0.0267
Слаба позитивен
0.0117
Слаба позитивен
0.0398
Слаба позитивен
0.0185
Слаба негативни
-0.1345
Answer 9-
Слаба позитивен
0.0740
Слаба позитивен
0.1594
Слаба позитивен
0.0050
Слаба позитивен
0.0612
Слаба негативни
-0.0067
Слаба негативни
-0.0464
Слаба негативни
-0.1836
Answer 10-
Слаба позитивен
0.0754
Слаба позитивен
0.0624
Слаба негативни
-0.0144
Слаба позитивен
0.0273
Слаба позитивен
0.0336
Слаба негативни
-0.0107
Слаба негативни
-0.1359
Answer 11-
Слаба позитивен
0.0626
Слаба позитивен
0.0495
Слаба негативни
-0.0084
Слаба позитивен
0.0094
Слаба позитивен
0.0277
Слаба позитивен
0.0251
Слаба негативни
-0.1276
Answer 12-
Слаба позитивен
0.0429
Слаба позитивен
0.0889
Слаба негативни
-0.0323
Слаба позитивен
0.0317
Слаба позитивен
0.0350
Слаба позитивен
0.0265
Слаба негативни
-0.1531
Answer 13-
Слаба позитивен
0.0705
Слаба позитивен
0.0917
Слаба негативни
-0.0384
Слаба позитивен
0.0287
Слаба позитивен
0.0437
Слаба позитивен
0.0151
Слаба негативни
-0.1634
Answer 14-
Слаба позитивен
0.0812
Слаба позитивен
0.0862
Слаба негативни
-0.0035
Слаба негативни
-0.0129
Слаба позитивен
0.0076
Слаба позитивен
0.0152
Слаба негативни
-0.1208
Answer 15-
Слаба позитивен
0.0555
Слаба позитивен
0.1235
Слаба негативни
-0.0340
Слаба позитивен
0.0113
Слаба негативни
-0.0139
Слаба позитивен
0.0261
Слаба негативни
-0.1160
Answer 16-
Слаба позитивен
0.0715
Слаба позитивен
0.0212
Слаба негативни
-0.0388
Слаба негативни
-0.0401
Слаба позитивен
0.0745
Слаба позитивен
0.0178
Слаба негативни
-0.0772


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This modest fear prevalence contrasts sharply with the historical positioning of HIV/AIDS as a primary existential threat during the 1980s-90s. As the article aptly notes, early HIV/AIDS campaigns relied heavily on fear-based messaging, leveraging protection-motivation theory to drive behavioral change through graphic depictions of mortality and disease. The current survey results suggest these diseases have been partially normalized in the public consciousness, supporting the article's observation that medical advancements have transformed HIV from a death sentence to a manageable chronic condition.


When examining broader fear contexts, it's noteworthy that personal concerns about "illness of relatives and children" (11%) and general "illness" (8%) outrank specific disease fears like HIV/AIDS or COVID-19. This pattern indicates that abstract illness threats generate more anxiety than particular diseases that have been subject to extensive public education campaigns. This finding aligns with the article's discussion of how healthcare messaging has evolved toward destigmatization and normalization, particularly for HIV/AIDS.


Spiral Dynamics Correlations: Understanding Value Systems and Fear Responses


The correlation data between disease fears and Spiral Dynamics stages provides fascinating insights into how different value systems engage with health threats. HIV/AIDS shows a positive correlation (0.0662) with Orange-level thinking, which represents achievement-oriented, strategic value systems. This alignment makes psychological sense, as Orange thinking prioritizes personal agency and risk management. Individuals operating from this value system may respond more actively to diseases perceived as consequences of personal behavior choices.


Conversely, HIV/AIDS fears correlate negatively with Yellow (-0.0516) and more strongly with Turquoise (-0.1776) value systems. These second-tier thinking systems in Spiral Dynamics represent more complex, integrative worldviews that may contextualize disease within a broader systemic understanding. The stronger negative correlation with Turquoise thinking is particularly notable, as this holistic perspective tends to integrate mortality and vulnerability into a comprehensive worldview, potentially reducing fear responses to specific conditions.


For COVID-19, the correlation pattern differs significantly. The positive correlation with Green thinking (0.0637) suggests that communitarian, egalitarian value systems may experience heightened concern about highly communicable diseases that threaten community well-being. This aligns with the article's discussion of how modern healthcare campaigns increasingly emphasize collective responsibility and community protection. The negative correlations with Blue (-0.0342), Orange (-0.0409), and Turquoise (-0.0748) value systems suggest varied psychological responses across the spiral.


Implications for Evolving Healthcare Messaging


The article chronicles a shift from fear-based campaigns toward empowerment and behavioral strategies, noting how psychological frameworks like self-efficacy theory and social norm theory have informed this evolution. The SDTEST® data supports the efficacy of this shift by demonstrating relatively low fear ratings for HIV/AIDS despite its historical stigma. This suggests that destigmatizing, empowering messaging approaches may have successfully normalized the condition in public consciousness.


The varying correlations between fears and Spiral Dynamics stages also validate the article's emphasis on intersectionality and tailored messaging. Different value systems appear to process disease threats through distinct psychological frameworks, which has significant implications for public health communication. The article notes that "campaigns are now much more carefully designed to address diverse populations," which aligns with the need to consider value system diversity in designing effective interventions.


Advancing Psychologically Informed Healthcare Communications


The relatively weak correlation between disease fears and specific Spiral Dynamics stages (with the critical value of the correlation coefficient for a normal distribution, by William Sealy Gosset (Student) r = 0.0323) suggests that fears of HIV/AIDS and COVID-19 transcend value systems but manifest differently within them. This finding supports the article's conclusion that messaging must "remain effective, compassionate, and mindful of nuance." The positive correlation between HIV/AIDS fears and Orange thinking, contrasted with COVID-19's positive correlation with Green thinking, demonstrates how different diseases activate different value concerns.


The article's discussion of digital and social media platforms as vectors for modern healthcare messaging presents opportunities for even more targeted value-specific communications. Understanding the psychological frameworks through which different Spiral Dynamics stages process health information could enable micro-targeted campaigns that resonate more effectively with diverse audiences. For instance, messaging aimed at Orange-dominant thinkers might emphasize personal agency and achievement in health management, while Green-focused messaging might highlight community protection and collective responsibility.


Conclusion


The evolution of HIV/AIDS messaging described in the article reflects a sophisticated understanding of psychological principles, moving from protection-motivation theory toward self-efficacy and social norm approaches. The SDTEST® data validates this progression by showing relatively modest contemporary fear responses to HIV/AIDS despite its historical stigmatization. The correlation patterns between disease fears and Spiral Dynamics stages provide valuable insights for further refining healthcare communications to resonate with different value systems.


The comparative data between HIV/AIDS and COVID-19 fears, particularly their different correlation patterns with Spiral Dynamics stages, suggests that disease characteristics interact with value systems to produce distinct psychological responses. As the article argues, effective healthcare campaigns must continue to evolve based on evidence rather than prejudice. The SDTEST® data offers this evidence, demonstrating how fears of specific conditions correlate with different psychological frameworks and value systems.


This integration of fear psychology, mathematical correlation, and Spiral Dynamics theory provides a robust foundation for developing increasingly sophisticated, psychologically informed healthcare messaging strategies that can effectively engage diverse populations across the spiral of human development.



Sources

[1] https://www.linkedin.com/in/tomas-campbell-40202785/
[2] https://www.bps.org.uk/blog/towards-more-inclusive-and-empowering-healthcare-campaigns


2025.02.28
Валери Косенко
Сопственик на производ SaaS SDTEST®

Валерии се квалификуваше како социјален педагог-психолог во 1993 година и оттогаш го применува своето знаење во управувањето со проекти.
Валери се здоби со магистерска диплома и квалификација за менаџер на проект и програма во 2013 година. За време на неговата магистерска програма, тој се запозна со Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) и Spiral Dynamics.
Валери е автор на истражување на неизвесноста на V.U.C.A. концепт со користење на спирална динамика и математичка статистика во психологијата и 38 меѓународни анкети.
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