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Weekly Literature Review: Healthcare Innovation and Access
Monday: Value-Based Physical Therapy for Chronic Pain
Summary
Lentz and colleagues present a conceptual framework for value-based physical therapy in managing chronic musculoskeletal pain. The model identifies how patient-therapist interactions, organizational policies, and health system structures collectively influence treatment quality and cost-effectiveness. By mapping evidence-based pathways, including early access, guideline adherence, and risk stratification,onto this multi-level framework, the authors demonstrate how physical therapists can align with healthcare reform priorities while improving outcomes and reducing the substantial economic burden of chronic pain.
Key Findings
Annual U.S. pain costs reach $560–635 billion, with musculoskeletal conditions as major contributors
Early physical therapy reduces utilization, costs, surgery risk, injections, and opioid use
Direct access to PT (unrestricted in only 18 states) lowers expenditures with comparable or superior outcomes
Guideline-adherent imaging reduces downstream costs and unnecessary services
Risk stratification improves efficiency by aligning treatment intensity with patient prognosis
Patient-therapist interaction level offers the most direct leverage point for value creation
Organizational and system-level policies exert significant indirect influence on outcomes
Citation: Lentz, T. A., Harman, J. S., Marlow, N. M., & George, S. Z. (2017). Application of a value model for the prevention and management of chronic musculoskeletal pain by physical therapists. Physical Therapy, 97(3), 354–364. https://doi.org/10.1093/ptj/pzx019
Tuesday: Real-World Nonpharmacologic Back Pain Care
Summary
Roseen and colleagues evaluated nonpharmacologic low back pain treatment across 17 U.S. integrative medicine clinics, tracking 660 adults over 12 months. The study found that 70% received guideline-concordant care, primarily through acupuncture, chiropractic, and physical therapy combinations. While pain interference showed modest improvements (particularly among those with higher baseline severity), physical function changes were small and varied by baseline status. The findings suggest that integrative medicine settings can deliver recommended care at scale, though effectiveness depends on treatment dose, baseline severity, and implementation quality.
Key Findings
660 adults across 17 clinics; 66% had chronic low back pain; 75% female; mean age 51.6 years
Service use: IM consults (56%), acupuncture (44%), chiropractic (24%), PT (19.5%), massage (17%)
70% received at least one ACP guideline-recommended nonpharmacologic treatment
Pain interference improved modestly: −1.26 at 2 months, −1.98 at 12 months overall
Largest gains in high baseline pain tertile: −4.35 at 12 months
Physical function improvements concentrated in those with lower baseline function (+2.57 lowest tertile)
Secondary benefits: reduced anxiety (−1.45), depression (−1.62), improved social participation (+2.23)
Median visit doses often below RCT-identified effective levels (e.g., 6 vs. 12 chiropractic visits)
Citation: Roseen, E. J., Hurstak, E. E., Kim, R. S., Gao, Q., Greco, C. M., Vago, D. R., Saper, R. B., Kligler, B., McKee, M. D., & Dusek, J. A. (2025). Nonpharmacologic back pain treatment use and associated patient reported outcomes in US-based integrative medicine clinics. Global Advances in Integrative Medicine and Health, 14, 1–13. https://doi.org/10.1177/27536130251345481
Wednesday: Healthcare Complexity as a Barrier to Access
Summary
Levitt and Altman argue that systemic complexity, not just cost or coverage gaps, is a critical barrier to healthcare access in the United States. Drawing on a national survey of 3,605 insured adults, they document widespread confusion about coverage, administrative hurdles in finding care, and procedural disenrollments that lead to delayed treatment and financial strain. The authors emphasize that simplification through better enforcement of existing consumer protections offers a pragmatic pathway to improving health system usability, particularly for vulnerable populations navigating mental health services, chronic conditions, or frequent care needs.
Key Findings
60% of insured adults reported insurance-related difficulties in the past year
Problem rates highest among those in poor health (67%), needing mental health services (75%), and frequent users (80%)
15% reported worsened health due to insurance problems; over 25% incurred higher costs
About 50% did not fully understand their coverage; 33% unclear on what costs were covered or owed
Medicaid post-COVID redeterminations led to millions of disenrollments, 75% for procedural reasons
Medicare beneficiaries face average of 43 plan choices; ACA marketplace enrollees face 100+ options
60% unaware of appeal rights; 76% didn't know which government agency could help
Only 50% of those experiencing problems eventually obtained needed care
Citation: Levitt, L., & Altman, D. (2023). Complexity in the US health care system is the enemy of access and affordability. JAMA Health Forum, 4(10), e234430. https://doi.org/10.1001/jamahealthforum.2023.4430
Thursday: Health Systems Must Precede AI Implementation
Summary
McCoy and colleagues challenge techno-optimistic narratives about artificial intelligence in global health, arguing that AI cannot advance health equity without foundational health system investments. Using Paul Farmer's "5S" framework—Staff, Stuff, Space, Systems, and Support—they demonstrate how workforce shortages, resource scarcity, infrastructure gaps, weak governance, and inadequate social support undermine AI's potential in resource-constrained settings. The authors contend that prioritizing health system strengthening is both an ethical and practical prerequisite for responsible AI deployment, cautioning against technological solutions that ignore or worsen existing inequities.
Key Findings
Staff: Global workforce shortages limit capacity; AI risks displacing clinical judgment without proper support
Stuff: Basic medicines and supplies must precede AI; opportunity costs may divert resources from essential care
Spaces: Physical infrastructure deficits (electricity, water, facilities) cannot be leapfrogged digitally
Systems: Weak governance and fragmented records undermine AI integration; local leadership is essential
Support: Community structures must be strengthened to ensure equitable AI-enhanced care delivery
Case example: Google's diabetic retinopathy model failed in Thailand due to contextual mismatches
Power dynamics: AI development concentrates control in wealthy institutions while creating dependency in LMICs
Historical parallel: Global institutions promoting AI previously supported policies that weakened health systems
Ethical imperative: Health system strengthening must precede AI to avoid exacerbating inequities
Citation: McCoy, L. G., Bihorac, A., Celi, L. A., Elmore, M., Kewalramani, D., Kwaga, T., Martinez-Martin, N., Proa, R., Schamroth, J., Shaffer, J. D., Youssef, A., & Fiske, A. (2025). Building health systems capable of leveraging AI: Applying Paul Farmer's 5S framework for equitable global health. BMC Global and Public Health, 3(39). https://doi.org/10.1186/s44263-025-00158-6
Friday: Senior Adults and IoT Healthcare Device Adoption
Summary
Malarvizhi and colleagues examined factors influencing Indonesian seniors' adoption of IoT-enabled healthcare devices, extending the established UTAUT technology acceptance model with perceived product value and perceived technology accuracy. Surveying 772 participants, the study found that perceived product value strongly predicted both attitudes and intentions to use these devices, while perceived accuracy influenced attitudes but not intentions directly. The findings reveal that seniors prioritize perceived benefits and reliability over ease of use, with age and gender moderating adoption pathways—suggesting that successful IoT healthcare implementation in emerging economies requires tailored strategies emphasizing device value and trustworthiness.
Key Findings
772 Indonesian senior adults surveyed using partial least squares-structural equation modeling
Perceived product value (PV) emerged as strongest predictor of both attitude and intention
Perceived technology accuracy (TA) significantly influenced attitude but not intention directly
Performance expectancy did not predict attitude (contrary to standard UTAUT predictions)
Effort expectancy and facilitating conditions did not predict intention in this population
Social influence significantly affected both attitude and intention to adopt
Age and gender moderated multiple relationships: men relied more on performance expectancy; women on effort expectancy, social influence, and facilitating conditions
Attitude mediated most relationships between UTAUT constructs and behavioral intention
Seniors prioritize perceived value and accuracy over ease of use in healthcare technology decisions
Citation: Malarvizhi, C. A. N., Al Mamun, A., Reza, M. N. H., & Yang, M. (2025). Seniors' attitudes and intention toward IoT-enabled healthcare devices in emerging economies. Scientific Reports, 15, 13320. https://doi.org/10.1038/s41598-025-97507-0
Weekly Overview: Bridging Access, Innovation, and Implementation
This week's literature reveals a healthcare landscape grappling with the tension between promising innovations and persistent structural barriers to equitable, accessible care. Three central themes emerge across these diverse studies:
1. Implementation Fidelity Determines Real-World Effectiveness
Both the value-based physical therapy framework and the integrative medicine study underscore that evidence-based interventions only deliver their full potential when properly implemented. The modest outcomes in the Roseen study, despite 70% guideline concordance, reflect insufficient treatment doses and variable implementation quality. Similarly, Lentz's framework identifies early access and risk stratification as leverage points that remain underutilized due to organizational and policy barriers. The lesson: having the right interventions matters less than delivering them correctly and consistently.
2. Systemic Complexity Undermines Healthcare Value
Levitt and Altman's examination of insurance complexity and McCoy's critique of premature AI deployment both highlight how systemic dysfunction creates barriers that individual interventions cannot overcome. Whether it's insured patients unable to navigate coverage to access recommended care, or AI tools deployed in settings lacking basic infrastructure, complexity and fragmentation systematically erode healthcare value. The 60% of insured adults experiencing insurance-related problems suggests that access barriers extend far beyond the uninsured, affecting care utilization even when coverage exists.
3. Context and User-Centricity Are Non-Negotiable
The Indonesian IoT study and the AI critique converge on a critical insight: technology adoption and effectiveness depend on alignment with user needs, capacities, and contexts. Seniors' prioritization of perceived value over ease of use challenges assumptions about older adults and technology, while the failure of Google's retinopathy model in Thailand demonstrates the risks of context-blind deployment. Both studies argue for co-design, local leadership, and attention to social, cultural, and infrastructural realities, whether implementing IoT devices in emerging economies or deploying AI in under-resourced health systems.
Key Implications for Healthcare Leaders
For Clinicians and Delivery Organizations:
Implement evidence-based pathways with attention to treatment dose and fidelity
Use risk stratification to target resources where they'll have greatest impact
Simplify patient navigation and administrative processes
Engage patients in shared decision-making, recognizing diverse priorities across demographics
For Health Systems and Policymakers:
Address systemic complexity through enforcement of existing consumer protections
Invest in health system fundamentals (workforce, infrastructure, governance) before scaling technological solutions
Expand direct access to effective nonpharmacologic treatments
Design reimbursement and regulatory structures that support guideline-concordant care
For Technology Developers:
Prioritize perceived value and accuracy in healthcare device design
Engage end-users and frontline workers in co-design processes
Ensure technological solutions address rather than worsen existing inequities
Account for infrastructural, governance, and workforce prerequisites for successful implementation
These studies collectively argue that healthcare improvement requires not just better interventions or technologies, but fundamental attention to implementation quality, systemic simplification, and contextual fit. The path forward lies not in choosing between innovation and infrastructure, but in ensuring each enables the other.