A Semistructured Interview for Surgical Residency Targeting Nontechnical Skills.

OBJECTIVE: We review the development, implementation, and initial outcomes of a semistructured interview process to assess the nontechnical skills of surgical residency applicants. DESIGN: In 2018, we restructured our residency selection interview process. Through semistructured faculty interviews, we sought to evaluate candidates along seven nontechnical skills (grit, ownership, rigor, teamwork, presence, impact, and organizational alignment). We plotted each candidate's scores on a radar plot for graphical representation and calculated the plot area of each candidate. We retrospectively evaluated 3 years of data, comparing the nontechnical skill scores of matriculants into the training program to those of nonmatriculants. SETTING: Tenwek Hospital is a 361-bed tertiary teaching and referral hospital in rural western Kenya with a 5-year general surgery residency program. PARTICIPANTS: Thirty-one applicants were interviewed over 3 years. Thirteen matriculated into the program. RESULTS: Scores for grit, (4.8 vs 3.9; p = 0.0004), impact (4.2 vs 3.5; p = 0.014), ownership (4.2 vs 3.6; p = 0.01), and organizational alignment (4.3 vs 3.8; p = 0.008) were significantly higher in matriculants. CONCLUSIONS: This semistructured interview process provides a robust and beneficial mechanism for assessing applicants' nontechnical skills, which may allow for the matriculation of more well-rounded candidates into surgical residency and, ultimately, surgical practice.

Assessing Post-operative Pain with Self-reports via the Jerrycan Pain Scale in Rural Kenya.

BACKGROUND: Perioperative pain management is an essential component to improving patient outcomes. Measurement and description of pain are challenging and vary in different contexts. The objective of this study was to assess the utility of self-reporting via visual analogue scales using the Jerrycan visual analogue scale in the assessment of post-operative pain and to validate the use of this novel scale compared to standard pain scales. MATERIALS AND METHODS: Two hundred and forty-one inpatients who underwent surgical procedures were prospectively assessed for post-operative pain over a 12-month period from February 2016 to January 2017. Participants included patients who underwent general surgery, orthopedic and obstetrics/gynecology procedures. On post-operative day one, four scales were assessed: Verbal scale, Hands scale, Faces scale and Jerrycan scale, each ranging from 0-5. Scores for each scale were recorded, and agreements between scales were calculated using kappa values and Spearman's rank coefficients. RESULTS: The mean age was 34.8 years and more female subjects were evaluated (68%). The majority received spinal anesthesia (61%). The mean pain score was 2.5 for all scales. The Jerrycan (0.50) and Faces scales (0.43) had moderate agreements with the Verbal scale. Participants preferred the Jerrycan Pain Scale. CONCLUSION: The Jerrycan pain scale had comparable scores and reasonable agreement with 3 other pain scales among a cohort of post-operative patients. Patient preference and ease of use of the Jerrycan scale may impact assessment and management of pain in a rural African setting. This scale may be adapted for use in similar resource settings for post-operative pain management.

Mortality Prediction in Rural Kenya: A Cohort Study of Mechanical Ventilation in Critically Ill Patients.

Critical care is expanding in low- and middle-income countries. Yet, due to factors such as missing data and different disease patterns, predictive scores often fail to adequately predict the high rates of mortality observed. OBJECTIVES: We evaluated multiple prognostic models for the outcome of mortality in critically ill, mechanically ventilated patients in rural Kenya and examined factors contributing to mortality in our setting. DESIGN SETTING AND PARTICIPANTS: A prospective cohort study was conducted on mechanically ventilated patients in rural Kenya. Consecutive patients 16 years old and older initiated on mechanical ventilation between January 1, 2016, and April 30, 2017, at Tenwek Hospital were included. Demographic data, clinical characteristics, and patient outcomes were collected during routine clinical care. MAIN OUTCOMES AND MEASURES: We assessed the discrimination and calibration of multiple previously-described models for mortality: Acute Physiology and Chronic Health Evaluation II, Sequential Organ Failure Assessment, quick Sequential Organ Failure Assessment, Simplified Acute Physiology Score II, Modified Early Warning Score, Tropical Intensive Care Score, Rwanda-Mortality Predictive Model, Vitals score (validated in Tanzania), and Vitals score for sepsis (validated in Uganda). Factors most associated with mortality were analyzed in our cohort utilizing stepwise regression. RESULTS: Among the final cohort of 300 patients, the overall mortality rate was 60.7%, the average age was 39.9 years, 65% were male, and 33% were seen at an outside facility prior to admission to the critical care unit. Missing variables occurred in patients for numerous models but were complete in most adapted to resource-limited settings. Models displayed moderate prediction of mortality and variable discrimination area under the receiver operating characteristic curves (and Hosmer-Lemeshow chi-square statistic) of 0.77 (22.4) for Acute Physiology and Chronic Health Evaluation II, 0.70 (3.4) for Modified Early Warning Score, 0.65 (0.16) for quick Sequential Organ Failure Assessment, 0.55 (18.4) for Simplified Acute Physiology Score II and 0.74 (9.2) for Rwanda-Mortality Predictive Model, 0.72 (0.12) for Vitals Tanzania, 0.68 (14.7) for Vitals Uganda, and 0.65 (13.9) for Tropical Intensive Care Score. Variables associated with increased mortality in our population were hypotension, infection, traumatic brain injury, and hematocrit. CONCLUSIONS AND RELEVANCE: Overall, survival for critically ill patients in rural Kenya was poor, but predictable with contributing factors. Models designed for resource-constrained settings had favorable discrimination and better calibration for mortality prediction than high-resource models in our population of mechanically ventilated, critically ill patients in rural Kenya.

Ethnicity and breast cancer characteristics in Kenya.

PURPOSE: There are no published data from specific regions of sub-Saharan Africa describing the clinical and pathological characteristics and molecular subtypes of invasive breast cancer by ethnic group. The purpose of this study was to investigate these characteristics among the three major ethno-cultural groupings in Kenya. METHODS: The study included women with pathologically confirmed breast cancer diagnosed between March 2012 and May 2015 at 11 hospitals throughout Kenya. Sociodemographic, clinical, and reproductive data were collected by questionnaire, and pathology review and immunohistochemistry were performed centrally. RESULTS: The 846 cases included 661 Bantus (78.1%), 143 Nilotes (16.9%), 19 Cushites (2.3%), and 23 patients of mixed ethnicity (2.7%). In analyses comparing the two major ethnic groups, Bantus were more educated, more overweight, had an older age at first birth, and had a younger age at menopause than Nilotes (p < 0.05 for all comparisons). In analyses restricted to definitive surgery specimens, there were no statistically significant differences in tumor characteristics or molecular subtypes by ethnicity, although the Nilote tumors tended to be larger (OR for ≥ 5 cm vs. < 2 cm: 3.86, 95% CI 0.77, 19.30) and were somewhat more likely to be HER2 enriched (OR for HER2 enriched vs. Luminal A/B: 1.41, 95% CI 0.79, 2.49). CONCLUSION: This case series showed no significant differences in breast cancer tumor characteristics or molecular subtypes, but significant differences in sociodemographic characteristics and reproductive factors, among the three major ethnic groups in Kenya. We suggest further evaluation of ethnic differences in breast cancer throughout the genetically and culturally diverse populations of sub-Saharan Africa.

Breast Camps for Awareness and Early Diagnosis of Breast Cancer in Countries With Limited Resources: A Multidisciplinary Model From Kenya.

BACKGROUND: Breast cancer is the most common cancer of women in Kenya. There are no national breast cancer early diagnosis programs in Kenya. OBJECTIVE: The objective was to conduct a pilot breast cancer awareness and diagnosis program at three different types of facilities in Kenya. METHODS: This program was conducted at a not-for-profit private hospital, a faith-based public hospital, and a government public referral hospital. Women aged 15 years and older were invited. Demographic, risk factor, knowledge, attitudes, and screening practice data were collected. Breast health information was delivered, and clinical breast examinations (CBEs) were performed. When appropriate, ultrasound imaging, fine-needle aspirate (FNA) diagnoses, core biopsies, and onward referrals were provided. RESULTS: A total of 1,094 women were enrolled in the three breast camps. Of those, 56% knew the symptoms and signs of breast cancer, 44% knew how breast cancer was diagnosed, 37% performed regular breast self-exams, and 7% had a mammogram or breast ultrasound in the past year. Of the 1,094 women enrolled, 246 (23%) had previously noticed a lump in their breast. A total of 157 participants (14%) had abnormal CBEs, of whom 111 had ultrasound exams, 65 had FNAs, and 18 had core biopsies. A total of 14 invasive breast cancers and 1 malignant phyllodes tumor were diagnosed CONCLUSION: Conducting a multidisciplinary breast camp awareness and early diagnosis program is feasible in different types of health facilities within a low- and middle-income country setting. This can be a model for breast cancer awareness and point-of-care diagnosis in countries with limited resources like Kenya. IMPLICATIONS FOR PRACTICE: This work describes a novel breast cancer awareness and early diagnosis demonstration program in a low- and middle-income country within a limited resource setting. The program includes breast self-awareness and breast cancer education, clinical exams, and point-of-care diagnostics for women in three different types of health facilities in Kenya. This pilot program has the potential of being replicated on a national scale to create awareness about breast cancer and downstage its presentation.