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BACKGROUND: Psychiatric disorders differ in frequency and symptoms based on the cultural and ethnic background of patients. This can make diagnosing and treating patients challenging globally. In Pakistan, most psychiatric patients report multiple somatic complaints. Our goal was to investigate the causes of these complaints, identify common psychiatric conditions, and analyze their various manifestations in clinical practice. We also aimed to identify ways to improve the quality of care provided to our patients. METHODOLOGY: We collected and organized data by utilizing predetermined tables from a sample of 231 patients who visited the outpatient clinics. Inpatients were not included in this study because of the absence of a psychiatric unit at our facility. Patients' past medical and psychiatric records were thoroughly examined, and pertinent information was extracted. The most common psychiatric disorders within the studied population were diagnosed based on the International Classification of Diseases, Tenth Revision (ICD-10) diagnostic criteria. RESULTS: In this study, a sample size of 231 was examined to determine the most common diseases (ICD-10) in males and females. In males, the most prevalent diseases were mixed anxiety and depression (MAD), depression, generalized anxiety disorder (GAD), bipolar affective disorder (BPAD), social phobia, and obsessive-compulsive disorder (OCD). Females, on the other hand, presented more with depression, GAD, mixed anxiety and depression, conversion or dissociative disorder, OCD, and panic attacks. Headaches were the most frequently reported symptom, experienced by 61.9% the of participants, followed by lethargy, extremity pains, palpitations, loss of appetite, heartburn or acidity, heaviness on the head, shoulder pains, bloating, dizziness, chest pains, hot flashes or shivering, and constipation. Meanwhile, a quarter of the males did not complain of any somatic symptoms, compared to 10% of the females. Additionally, 7.3% of females reported more than six somatic symptoms, compared to 5.7% of males. When it came to treatment preferences, 73.6% of the participants preferred medication over psychotherapy and over a combination of both. The Statistical Product and Service Solutions (SPSS) Statistics version 22 (IBM SPSS Statistics, Armonk, NY, USA) was used to conduct a chi-square test of independence to analyze the obtained data. For post hoc analysis of quantitative data (i.e., the number of somatic symptoms reported by participants), one-way analysis of variance (ANOVA) was applied, followed by Tukey's honestly significant difference (HSD) test. CONCLUSIONS: This is the first comprehensive study of its kind for this population and region. It emphasizes that clinicians should be aware of the variety of somatic symptoms and psychiatric presentations among this population. Such awareness can improve clinical practices and reduce the burden on health services.
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Methodology Data were accumulated from all patients seen in outpatient clinics from October to December 2020. No inpatients or community samples were included in the research. Verbal consent and approval from the local ethical committee were obtained beforehand. ICD-10 diagnostic criteria were used for all psychiatric diagnoses. Results A total of 500 patients were seen with a gender distribution of 51% females and 49% males. Patients aged 18-65 years comprised 79% of this sample; 52% had no formal education. A total of 43% lived in settled areas; 37% were from Afghanistan; 13% from tribal areas, and 7% were from the Swat region. Thirty percent had no medical history, and 40% reported no prior contact with psychiatric service. Anxiety spectrum disorders were more prevalent in females, and psychotic and drug-related illnesses were more prevalent in males. More than half the patients seen were considered fit for psychotherapy referral but could not engage because of the lack of such services near their homes. The significance of the results obtained was assessed using the Chi-squared test, using SPSS v.22. A p-value of less than 0.05 was considered significant. Conclusion Almost 40% of patients were admitted due to some form of trauma history, predominantly terrorism-related, displacement, and other losses. Two in three people reported current or past drug use, with tetrahydrocannabinol (THC) being the most commonly used drug, followed by sedatives, opioids/pain relief medications, amphetamines, or methamphetamine (ICE), and others (e.g., alcohol). There was a significant rise in drug use/trauma history in the tribal areas, Afghanistan, and Swat region compared to the local population of settled areas. Common psychiatric illnesses were as expected in the sample studied.
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Background Smartphone technology is rapidly evolving and advancing, with many of them offering health applications being used for oximetry purposes, including the Samsung Health/S Health application. Measuring oxygen saturation is one of the important indications to monitor patients with COVID-19, as well as other health conditions. These applications can be used for measuring oxygen saturation to provide a convenient solution for clinical decisions. Methods Oxygen saturation measurements were collected using the Samsung Health application for Samsung Galaxy smartphone with a sensor and camera flash and a low-cost portable digital display (liquid crystal display (LCD)) finger pulse oximeter. Intra-session reliability was established to determine the consistency between the measures. Intra-class correlation coefficients (ICCs) were calculated with 95% confidence intervals (CIs) reported for both methods. The Bland-Altman plot was used to compare the level of agreement between the two measurement methods. Results There was a statistically significant average difference between pulse oximeter and Samsung Health application measurements (t125 = 4.407, p < 0.001), and on average, pulse oximeter measurement was 0.510 points higher than Samsung Health application measurement (95% CI = 0.281-0.740). The pulse oximeter and Samsung Health application scores were moderately correlated (r = 0.462). The results of the intra-session reliability test produced an acceptable ICC value of 0.557, indicating moderate reliability and consistent results for the measurement of oxygen saturation with both methods. The Bland-Altman plot showed a consistently equal distribution of data points scattered above and below zero. Conclusion Smartphone health applications can be used with moderate reliability to measure oxygen saturation.