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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.


Ketakutan

Negara
Bahasa
-
Mail
Hitung ulang
Nilai kritis dari koefisien korelasi
Distribusi normal, oleh William Sealy Gosset (siswa) r = 0.0323
Distribusi normal, oleh William Sealy Gosset (siswa) r = 0.0323
Distribusi non normal, oleh Spearman r = 0.0013
DistribusiTidak
normal
Tidak
normal
Tidak
normal
NormalNormalNormalNormalNormal
Semua pertanyaan
Semua pertanyaan
Ketakutan terbesar saya adalah
Ketakutan terbesar saya adalah
Answer 1-
Positif lemah
0.0504
Positif lemah
0.0356
Negatif lemah
-0.0167
Positif lemah
0.0936
Positif lemah
0.0355
Negatif lemah
-0.0175
Negatif lemah
-0.1561
Answer 2-
Positif lemah
0.0190
Positif lemah
0.0015
Negatif lemah
-0.0429
Positif lemah
0.0640
Positif lemah
0.0457
Positif lemah
0.0134
Negatif lemah
-0.0957
Answer 3-
Negatif lemah
-0.0019
Negatif lemah
-0.0095
Negatif lemah
-0.0466
Negatif lemah
-0.0461
Positif lemah
0.0477
Positif lemah
0.0765
Negatif lemah
-0.0167
Answer 4-
Positif lemah
0.0408
Positif lemah
0.0318
Negatif lemah
-0.0218
Positif lemah
0.0176
Positif lemah
0.0307
Positif lemah
0.0225
Negatif lemah
-0.0962
Answer 5-
Positif lemah
0.0285
Positif lemah
0.1335
Positif lemah
0.0082
Positif lemah
0.0799
Positif lemah
0.0001
Negatif lemah
-0.0227
Negatif lemah
-0.1790
Answer 6-
Negatif lemah
-0.0041
Positif lemah
0.0112
Negatif lemah
-0.0655
Negatif lemah
-0.0095
Positif lemah
0.0206
Positif lemah
0.0840
Negatif lemah
-0.0293
Answer 7-
Positif lemah
0.0113
Positif lemah
0.0422
Negatif lemah
-0.0708
Negatif lemah
-0.0286
Positif lemah
0.0475
Positif lemah
0.0655
Negatif lemah
-0.0489
Answer 8-
Positif lemah
0.0645
Positif lemah
0.0823
Negatif lemah
-0.0312
Positif lemah
0.0157
Positif lemah
0.0348
Positif lemah
0.0141
Negatif lemah
-0.1337
Answer 9-
Positif lemah
0.0684
Positif lemah
0.1686
Positif lemah
0.0055
Positif lemah
0.0673
Negatif lemah
-0.0139
Negatif lemah
-0.0512
Negatif lemah
-0.1784
Answer 10-
Positif lemah
0.0776
Positif lemah
0.0731
Negatif lemah
-0.0198
Positif lemah
0.0257
Positif lemah
0.0318
Negatif lemah
-0.0110
Negatif lemah
-0.1293
Answer 11-
Positif lemah
0.0621
Positif lemah
0.0580
Negatif lemah
-0.0049
Positif lemah
0.0084
Positif lemah
0.0183
Positif lemah
0.0239
Negatif lemah
-0.1227
Answer 12-
Positif lemah
0.0422
Positif lemah
0.1010
Negatif lemah
-0.0364
Positif lemah
0.0360
Positif lemah
0.0307
Positif lemah
0.0240
Negatif lemah
-0.1519
Answer 13-
Positif lemah
0.0668
Positif lemah
0.1023
Negatif lemah
-0.0398
Positif lemah
0.0279
Positif lemah
0.0414
Positif lemah
0.0144
Negatif lemah
-0.1617
Answer 14-
Positif lemah
0.0718
Positif lemah
0.0988
Negatif lemah
-0.0038
Negatif lemah
-0.0063
Positif lemah
0.0035
Positif lemah
0.0112
Negatif lemah
-0.1211
Answer 15-
Positif lemah
0.0542
Positif lemah
0.1344
Negatif lemah
-0.0341
Positif lemah
0.0181
Negatif lemah
-0.0195
Positif lemah
0.0203
Negatif lemah
-0.1182
Answer 16-
Positif lemah
0.0670
Positif lemah
0.0285
Negatif lemah
-0.0339
Negatif lemah
-0.0419
Positif lemah
0.0641
Positif lemah
0.0256
Negatif lemah
-0.0752


Ekspor ke MS Excel
Fungsi ini akan tersedia dalam jajak pendapat VUCA Anda sendiri
Oke

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
Valerii Kosenko
Pemilik Produk SaaS SDTEST®

Valerii memperoleh kualifikasi sebagai psikolog-pedagog sosial pada tahun 1993 dan sejak itu menerapkan pengetahuannya dalam manajemen proyek.
Valerii memperoleh gelar Master dan kualifikasi manajer proyek dan program pada tahun 2013. Selama program Masternya, ia mengenal Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e.V.) dan Spiral Dynamics.
Valerii adalah penulis yang mengeksplorasi ketidakpastian V.U.C.A. konsep menggunakan Dinamika Spiral dan statistik matematika dalam psikologi, dan 38 jajak pendapat internasional.
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Hai, yang di sana! Izinkan saya bertanya kepada Anda, apakah Anda sudah terbiasa dengan dinamika spiral?