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The study aimed to describe the ethical challenges global health programme (GHP) leaders encounter in their day-to-day work and to understand how they address these ethical challenges, as an important first step toward improving the relevance and precision of ethical guidance for GHPs.
We employed a qualitative case study approach using grounded theory data collection and analysis methods.
GHPs based at a major GHP hub in Decatur, Georgia, USA, providing a wide range of health services to more than 150 countries globally
Leaders of all 15 GHPs in the programme hub were invited to participate and 9 were available and consented to participate. Two senior leaders of the programme hub also participated in the study.
We identified 10 categories of ethical challenges encountered by GHP leaders: (1) ethical misalignment between funders and implementing partners; (2) budgets functioning as constraints on ethical decision-making; (3) the limited impact of programmes on improving host country capacity; (4) concerns about missed opportunities to benefit host country communities; (5) shortcomings in current ethics guidance (6) issues in data governance, stewardship and management; (7) navigating complex sociocultural contexts; (8) photography in the context of GHPs; (9) trustworthiness and reputational risks and (10) accountability for unintended consequences. The challenges often result in divided or conflicting loyalties for GHP leaders and uncertainty about what to do. We have characterised this form of uncertainty as ‘moral ambiguity,’ which we define as the inability to discern the best ethical way forward when there is tension or conflict among multiple stakeholder interests.
Our findings suggest that moral ambiguity is a common experience for GHP leaders and that current approaches to global health ethics fail to guide and support GHP leaders to recognise and address moral ambiguity and limit the distress it can cause. The experiences of GHP leaders offer important diagnostic insights for improving the way GHPs are imagined, financed, delivered and evaluated.
To investigate risk factors for re-infection and compare the outcomes in people with diabetic foot infections. A retrospective chart review was conducted, and 294 hospitalised patients with moderate to severe diabetic foot infections (DFIs) were analysed for this study. The diagnosis and classification of the severity of infection was based on the International Working Group on the Diabetic Foot (IWGDF) infection guidelines. Skin and soft tissue infections were diagnosed based on clinical observations as per IWGDF classification in addition to ruling out any suspected osteomyelitis (OM) through negative bone culture, MRI or WBC SPECT CT. OM was confirmed by bone culture or histopathology. Clinical outcomes were based on a 12-month follow-up period. All dichotomous outcomes were compared using χ 2 with an alpha of 0.05. The result of this study shows a 48% rate of re-infection in people admitted to our hospital with moderate and severe diabetic foot infections (DFI). Patients with osteomyelitis present during the index admission were 2.1 times more likely to experience a re-infection than patients with soft tissue infection (56.7% vs. 38.0% respectively). In the univariate analysis, risk factors for re-infection included osteomyelitis, non-healing wounds, prolonged wound healing, antidepressants and leukocytosis. In the regression analysis, the only risk factor for re-infection was wounds that were not healed >90 days (HR =2.0, CI: 1.5, 2.7, p = 0.001). Re-infection is very common in patients with moderate and severe diabetic foot infections. Risk factors include osteomyelitis, non-healing wound, prolonged wound healing, antidepressants and leukocytosis.
The objective of this paper was to investigate erythrocyte sedimentation rate (ESR) and c-reactive protein (CRP) in diagnosing pedal osteomyelitis (OM) in patients with and without diabetes, and with and without severe renal impairment (SRI). This was a retrospective cohort study of patients with moderate and severe foot infections. We evaluated three groups: Subjects without diabetes (NDM), subjects with diabetes and without severe renal insufficiency (DM-NSRI), and patients with diabetes and SRI (DM-SRI). SRI was defined as eGFR <30. We evaluated area under the curve (AUC), cutoff point, sensitivity and specificity to characterize the accuracy of ESR and CRP to diagnose OM. A total of 408 patients were included in the analysis. ROC analysis in the NDM group revealed the AUC for ESR was 0.62, with a cutoff value of 46 mm/h (sensitivity, 49.0%; specificity, 76.0%). DM-NSRI subjects showed the AUC for ESR was 0.70 with the cutoff value of 61 mm/h (sensitivity, 68.9%; specificity 61.8%). In DM-SRI, the AUC for ESR was 0.67, with a cutoff value of 119 mm/h (sensitivity, 46.4%; specificity, 82.40%). In the NDM group, the AUC for CRP was 0.55, with a cutoff value of 6.4 mg/dL (sensitivity, 31.3%; specificity, 84.0%). For DM-NSRI, the AUC for CRP was 0.70, with a cutoff value of 8 mg/dL (sensitivity, 49.2%; specificity, 80.6%). In DM-SRI, the AUC for CRP was 0.62, with a cutoff value of 7 mg/dL (sensitivity, 57.1%; specificity, 67.7%). While CRP demonstrated relatively consistent utility, ESR's diagnostic cutoff points diverged significantly. These results highlight the necessity of considering patient-specific factors when interpreting ESR results in the context of OM diagnosis.
Our objective was to evaluate normative data for near-infrared spectroscopy (NIRS) in 110 healthy volunteers by Fitzpatrick skin type (FST) and region of the foot. We obtained measurements of the dorsum and plantar foot using a commercially available device (SnapshotNIR, Kent Imaging, Calgary Canada). On the dorsum of the foot, people with FST6 had significantly lower oxygen saturation compared to FST1-5 (p < 0.001), lower oxyhaemoglobin compared to FST2-5 (p = 0.001), but there was no difference in deoxyhaemoglobin. No differences were found on the plantar foot. When comparing dorsal and plantar foot, there was higher oxyhaemoglobin (0.40 ± 0.09 vs. 0.51 ± 0.12, p < 0.001) and deoxyhaemoglobin (0.16 ± 0.05 vs. 0.21 ± 0.05, p < 0.001) on the plantar foot, but no differences in oxygen saturation (dorsal 70.7 ± 10.8, plantar 70.0 ± 9.5, p = 0.414). In 6.4% of feet, there were black areas, for which no NIRS measurements could be generated. All areas with no data were on the dorsal foot and only found in FST 5–6. People with FST6 had significantly larger areas with no data compared to FST 5 (22.2 cm2 ± 20.4 vs. 1.9 cm2 ± 0.90, p = 0.007). These findings should be considered when using NIRS technology. Skin pigmentation should be evaluated in future NIRS studies.
Limb salvage is a difficult path for patients to travel as there is no guarantee of the outcome, often the major factor is perfusion. For patients who underwent transmetatarsal amputation (TMA), success rate is crucial as the next option is most likely a major amputation. We performed a 10 years (2010–2020) retrospective review of patients that underwent a TMA and had an angiogram or computed tomography angiography (CTA) perioperatively at the Dallas VA Medical Center. Failure after TMA was defined as a patient requiring a proximal amputation within 1 year. There were 125 TMAs performed between 2010 and 2020 at the institution. Forty-four (35.2%) patients had an angiogram/CTA peri-operative and met the inclusion criteria. Seventeen subjects (38.6%) had a higher level of amputation. Of the 17 failures, 2 (11.8%) patients had no patent vessel runoff to the foot, 9 (52.9%) had one vessel, 4 (23.5%) had two vessels, and 2 (11.8%) had three vessels runoff. One vessel runoff to the foot yielded a high rate of poor outcomes (56.3%) defined as a higher level of amputation. Two or more vessels runoff to the foot had over 75% success of limb salvage with a TMA.
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