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Patil P, Nathani P, Bakker J, Van Duinen A, Bhushan P, Shukla M, Chalise S, Roy N, Gadgil A. Authors' Reply: Are LMICs Achieving the Lancet Commission Global Benchmark for Surgical Volumes? A Systematic Review. World J Surg 2023; 47:3439-3440. [PMID: 37755500 DOI: 10.1007/s00268-023-07171-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/18/2023] [Indexed: 09/28/2023]
Affiliation(s)
- Priti Patil
- Department of Statistics, Bhabha Atomic Research Center Hospital, Mumbai, India
| | - Priyansh Nathani
- Hinduhridaysamrat Balasaheb Thackeray Medical College and Dr Rustom, Narsi Cooper Municipal General Hospital, Mumbai, India
| | - Juul Bakker
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Alex Van Duinen
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Pranav Bhushan
- Department of Public Health, Institute of Global Public Health, University of Manitoba, Winnipeg, Canada
| | - Minal Shukla
- Department of Maternal health, UNICEF, Bhopal, India
| | - Samir Chalise
- Norwegian University of Science and Technology, Trondheim, Norway
| | - Nobhojit Roy
- Department of Global Public Health, Karolinska Institute, Solna, Sweden.
| | - Anita Gadgil
- Department of Surgery, Bhabha Atomic Research Centre Hospital, WHO Collaborating Centre for Research in Surgical Care Delivery in LMICs, Mumbai, India
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Yang W, Wang X, Kang C, Yang L, Liu D, Zhao N, Zhang X. Establishment of a risk prediction model for suicide attempts in first-episode and drug naïve patients with major depressive disorder. Asian J Psychiatr 2023; 88:103732. [PMID: 37586124 DOI: 10.1016/j.ajp.2023.103732] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 08/03/2023] [Accepted: 08/09/2023] [Indexed: 08/18/2023]
Abstract
BACKGROUND Suicide is common in patients with major depressive disorder (MDD) and has serious consequences for individuals and families. This study aims to establish a risk prediction model for suicide attempts in MDD patients to make the detection of suicide risk more accurate and effective. METHODS A cross-sectional survey, clinical examination, and biochemical indicator tests were performed on 1718 first-episode and drug naïve patients with major depressive disorder. We used Machine Learning to establish a risk prediction model for suicide attempts in FEDN patients with MDD. RESULTS Five predictors were identified by LASSO regression analysis from a total of 20 variables studied, namely psychotic symptoms, anxiety symptoms, thyroid peroxidase antibodies (ATPO), total cholesterol (TC), and high-density lipoprotein-cholesterol (HDL-C). The model constructed using the five predictors displayed moderate predictive ability, with an area under the ROC of 0.771 in the training set and 0.720 in the validation set. The DCA curve showed that the nomogram could be applied clinically if the risk threshold was between 22 % and 60 %. The risk threshold was found to be between 20 % and 60 % in external validation. CONCLUSION Introducing psychotic symptoms, anxiety symptoms, ATPO, TC, and HDL-C to the risk nomogram increased its usefulness for predicting suicide risk in patients with MDD. It may be useful in clinical decision-making or in discussions with patients, especially in crisis interventions.
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Affiliation(s)
- Wanqiu Yang
- School of Ethnology and Sociology, Yunnan University, Kunming, China; School of Medicine, Yunnan University, Kunming, China
| | - Xiaohong Wang
- Department of Psychiatry, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Chuanyi Kang
- Department of Psychiatry, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Liying Yang
- Dalian Seventh People's Hospital (Dalian Mental Health Center), Dalian, China
| | - Di Liu
- School of Marxism, Harbin Medical University, China
| | - Na Zhao
- Department of Psychiatry, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
| | - Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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Patil P, Nathani P, Bakker JM, van Duinen AJ, Bhushan P, Shukla M, Chalise S, Roy N, Gadgil A. Are LMICs Achieving the Lancet Commission Global Benchmark for Surgical Volumes? A Systematic Review. World J Surg 2023; 47:1930-1939. [PMID: 37191692 PMCID: PMC10310578 DOI: 10.1007/s00268-023-07029-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/08/2023] [Indexed: 05/17/2023]
Abstract
INTRODUCTION The Lancet Commission on Global Surgery (LCoGS) set the benchmark of 5000 procedures per 100,000 population annually to meet surgical needs adequately. This systematic review provides an overview of the last ten years of surgical volumes in Low and Middle- Income-Countries (LMICs). METHODOLOGY We searched PubMed, Web of Science, Scopus, Cochrane, and EMBASE databases for studies from LMICs addressing surgical volume. The number of surgeries performed per 100,000 population was estimated. We used cesarean sections, hernia, and laparotomies as index cases for the surgical capacities of the country. Their proportions to total surgical volumes were estimated. The association of country-specific surgical volumes and the proportion of index cases with its Gross Domestic Product (GDP) per capita was analyzed. RESULTS A total of 26 articles were included in this review. In LMICs, on average, 877 surgeries were performed per 100,000 population. The proportion of cesarean sections was found to be high in all LMICs, with an average of 30.1% of the total surgeries, followed by hernia (16.4%) and laparotomy (5.1%). The overall surgical volumes increased as the GDP per capita increased. The proportions of cesarean section and hernia to total surgical volumes decreased with increased GDP per capita. Significant heterogeneity was found in the methodologies to assess surgical volumes, and inconsistent reporting hindered comparison between countries. CONCLUSION Most LMICs have surgical volumes below the LCoGS benchmark of 5000 procedures per 100,000 population, with an average of 877 surgeries. The surgical volume increased while the proportions of hernia and cesarean sections reduced with increased GDP per capita. In the future, it's essential to apply uniform and reproducible data collection methods for obtaining multinational data that can be more accurately compared.
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Affiliation(s)
- Priti Patil
- Department of Statistics, BARC Hospital, Mumbai, 400094, India
| | - Priyansh Nathani
- Department of Surgery, Hinduhridaysamrat Balasaheb Thackeray Medical College, Dr. Rustom Narsi Cooper Municipal General Hospital, Mumbai, India
| | - Juul M Bakker
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Alex J van Duinen
- Clinic of Surgery, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Pranav Bhushan
- Department of Public Health, Institute of Global Public Health, University of Manitoba, Winnipeg, Canada
| | - Minal Shukla
- Department of Maternal Health, UNICEF, Bhopal, India
| | - Samir Chalise
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Nobhojit Roy
- Department of Global Public Health, Karolinska Institute, 171 77, Stockholm, Sweden.
- The George Institute for Global Health, New Delhi, India.
| | - Anita Gadgil
- The George Institute for Global Health, New Delhi, India
- Department of Surgery, BARC Hospital, Mumbai, 400094, India
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Jumbam DT, Amoako E, Blankson PK, Xepoleas M, Said S, Nyavor E, Gyedu A, Ampomah OW, Kanmounye US. The state of surgery, obstetrics, trauma, and anaesthesia care in Ghana: a narrative review. Glob Health Action 2022; 15:2104301. [PMID: 35960190 PMCID: PMC9586599 DOI: 10.1080/16549716.2022.2104301] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
Background Conditions amenable to surgical, obstetric, trauma, and anaesthesia (SOTA) care are a major contributor to death and disability in Ghana. SOTA care is an essential component of a well-functioning health system, and better understanding of the state of SOTA care in Ghana is necessary to design policies to address gaps in SOTA care delivery. Objective The aim of this study is to assess the current situation of SOTA care in Ghana. Methods A situation analysis was conducted as a narrative review of published scientific literature. Information was extracted from studies according to five health system domains related to SOTA care: service delivery, workforce, infrastructure, finance, and information management. Results Ghanaians face numerous barriers to accessing quality SOTA care, primarily due to health system inadequacies. Over 77% of surgical operations performed in Ghana are essential procedures, most of which are performed at district-level hospitals that do not have consistent access to imaging and operative room fundamentals. Tertiary facilities have consistent access to these modalities but lack consistent access to oxygen and/or oxygen concentrators on-site as well as surgical supplies and anaesthetic medicines. Ghanaian patients cover up to 91% of direct SOTA costs out-of-pocket, while health insurance only covers up to 14% of the costs. The Ghanaian surgical system also faces severe workforce inadequacies especially in district-level facilities. Most specialty surgeons are concentrated in urban areas. Ghana’s health system lacks a solid information management foundation as it does not have centralized SOTA databases, leading to incomplete, poorly coded, and illegible patient information. Conclusion This review establishes that surgical services provided in Ghana are focused primarily on district-level facilities that lack adequate infrastructure and face workforce shortages, among other challenges. A comprehensive scale-up of Ghana’s surgical infrastructure, workforce, national insurance plan, and information systems is warranted to improve Ghana’s surgical system.
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Affiliation(s)
- Desmond T Jumbam
- Department of Policy and Advocacy, Operation Smile Ghana, Accra, Ghana.,Department of Policy and Advocacy, Operation Smile, Virginia Beach, Virginia, USA
| | - Emmanuella Amoako
- Department of Paediatrics and Child Health, Cape Coast Teaching Hospital, Cape Coast, Ghana.,Department of Paediatrics and Child Health, Korle-Bu Teaching Hospital, Accra, Ghana
| | - Paa-Kwesi Blankson
- Oral and Maxillofacial Surgery Unit, Korle-Bu Teaching Hospital, Accra, Ghana
| | - Meredith Xepoleas
- Department of Policy and Advocacy, Operation Smile, Virginia Beach, Virginia, USA
| | - Shady Said
- Department of Policy and Advocacy, Operation Smile, Virginia Beach, Virginia, USA
| | - Elikem Nyavor
- Department of Policy and Advocacy, Operation Smile Ghana, Accra, Ghana
| | - Adam Gyedu
- Department of Surgery, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.,Department of Surgery, University Hospital, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Opoku W Ampomah
- Department of Policy and Advocacy, Operation Smile Ghana, Accra, Ghana.,Plastics and Reconstructive Surgery Unit, Korle-Bu Teaching Hospital, Accra, Ghana
| | - Ulrick Sidney Kanmounye
- Department of Policy and Advocacy, Operation Smile Ghana, Accra, Ghana.,Department of Policy and Advocacy, Operation Smile, Virginia Beach, Virginia, USA
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Azanu WK, Osarfo J, Larsen-Reindorf RE, Agbeno EK, Dassah E, Amanfo AO, Dah AK, Ampofo G. Assessment and determinants of acute post-caesarean section pain in a tertiary facility in Ghana. PLoS One 2022; 17:e0268947. [PMID: 35613148 PMCID: PMC9132330 DOI: 10.1371/journal.pone.0268947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 05/11/2022] [Indexed: 11/19/2022] Open
Abstract
Introduction
Caesarean sections (CS) feature prominently in obstetric care and have impacted positively on maternal / neonatal outcomes globally including Ghana. However, in spite of documented increasing CS rates in the country, there are no studies assessing the adequacy of post-CS pain control. This study assessed the adequacy of post-CS pain management as well as factors influencing this outcome. Additionally, post-CS analgesia prescription and serving habits of doctors and nurses were also described to help fill existing knowledge gaps.
Methods
Pain scores of 400 randomly selected and consenting post-CS women at a tertiary facility in Ghana were assessed at 6–12 hours post-CS at rest and with movement and at 24–36 hours post-CS with movement using a validated visual analog scale (VAS) from February 1, 2015 to April 8, 2015. Participant characteristics including age, marital status and duration of CS were obtained using pretested questionnaires and patient records review. Descriptive statistics were presented as frequencies and proportions. Associations between background characteristics and the outcome variables of adequacy of pain control at 6–12 hours post-CS at rest and with movement and at 24–36 hours post-CS with movement were analysed using Chi-square and Fisher’s exact tests and logistic regression methods. Adequate pain control was defined as VAS scores ≤5.
Results
At 6–12 hours post-CS (at rest), equal proportions of participants had adequate and inadequate pain control (50.1% vrs 49.9%). Over the same time period but with movement, pain control was deemed inadequate in 93% of respondents (369/396). Women who had one previous surgery [OR 0.47 95%CI 0.27, 0.82; p = 0.008] and those whose CS lasted longer than 45 mins [OR 0.39 95% CI 0.24, 0.62; p<0.001] had lower odds of reporting adequate pain control. Women prescribed 12-hourly and 8-hourly doses of pethidine had only 23.5% (12/51) and 10.3% (3/29) served as prescribed respectively. At 24–36 hours post CS, adequate pain control was reported by 85.3% (326/382) of participants.
Conclusions
Pain management was deemed inadequate within the first 12 hours post-CS with potential implications for early mother-child interaction. Appreciable numbers of participants did not have their analgesics served as prescribed. Adjunct pain control measures should be explored and healthcare workers must be encouraged to pay more attention to patients’ pain relief needs.
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Affiliation(s)
- Wisdom Klutse Azanu
- Department of Obstetrics and Gynaecology, School of Medicine, University of Health and Allied Sciences, Ho, Ghana
| | - Joseph Osarfo
- Department of Community Medicine, School of Medicine, University of Health and Allied Sciences, Ho, Ghana
- * E-mail: ,
| | - Roderick Emil Larsen-Reindorf
- Department of Obstetrics and Gynaecology, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
- Department of Population, Family and Reproductive Health, School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Evans Kofi Agbeno
- Department of Obstetrics and Gynaecology, School of Medical Sciences, University of Cape Coast, Cape Coast, Ghana
| | - Edward Dassah
- Department of Population, Family and Reproductive Health, School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Anthony Ofori Amanfo
- Department of Obstetrics and Gynaecology, School of Medical Sciences, University of Cape Coast, Cape Coast, Ghana
| | - Anthony Kwame Dah
- Department of Obstetrics and Gynaecology, School of Medicine, University of Health and Allied Sciences, Ho, Ghana
| | - Gifty Ampofo
- Department of Community Medicine, School of Medicine, University of Health and Allied Sciences, Ho, Ghana
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Mehta K, Arega H, Smith NL, Li K, Gause E, Lee J, Stewart B. Gender-based disparities in burn injuries, care and outcomes: A World Health Organization (WHO) Global Burn Registry cohort study. Am J Surg 2022; 223:157-163. [PMID: 34330521 PMCID: PMC8688305 DOI: 10.1016/j.amjsurg.2021.07.041] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 05/14/2021] [Accepted: 07/19/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND We aimed to describe the gender-based disparities in burn injury patterns, care received, and mortality across national income levels. METHODS In the WHO Global Burn Registry (GBR), we compared patient demographics, injury characteristics, care and outcomes by sex using Chi-square statistics. Logistic regression was used to identify the associations of patient sex with surgical treatment and in-hospital mortality. RESULTS Among 6431 burn patients (38 % female; 62 % male), females less frequently received surgical treatment during index hospitalization (49 % vs 56 %, p < 0.001), and more frequently died in-hospital (26 % vs 16 %, p < 0.001) than males. Odds of in in-hospital death was 2.16 (95 % CI: 1.73-2.71) times higher among females compared to males in middle-income countries. CONCLUSIONS Across national income levels, there appears to be important gender-based disparities among burn injury epidemiology, treatment received and outcomes that require redress. Multinational registries can be utilized to track and to evaluate initiatives to reduce gender disparities at national, regional and global levels.
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Affiliation(s)
- Kajal Mehta
- Department of Surgery, University of Washington, Seattle, WA, USA
| | - Hana Arega
- School of Public Health, University of Washington, Seattle, WA, USA
| | | | - Kathleen Li
- Krieger School of Arts & Sciences, The Johns Hopkins University, Baltimore, MD, USA
| | - Emma Gause
- Harborview Injury Prevention & Research Center, Seattle, WA, USA
| | - Joohee Lee
- Public Health Concern Trust-Nepal, Kathmandu, Nepal
| | - Barclay Stewart
- Harborview Injury Prevention & Research Center, Seattle, WA, USA; Department of Surgery, University of Washington, Seattle, WA, USA
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Li XY, Tabarak S, Su XR, Qin Z, Chai Y, Zhang S, Wang KQ, Guan HY, Lu SL, Chen YN, Chen HM, Zhao L, Lu YX, Li SX, Zhang XY. Identifying clinical risk factors correlate with suicide attempts in patients with first episode major depressive disorder. J Affect Disord 2021; 295:264-270. [PMID: 34482058 DOI: 10.1016/j.jad.2021.08.028] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 08/07/2021] [Accepted: 08/18/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Major depressive disorder (MDD) is the most common mental disorder associated with suicide attempts. When a patient first visits the clinic, clinicians are often expected to make concrete diagnose about acute suicidal risk. However, the timeliness of suicide attempts correlates with patients with MDD has not been tested. METHODS We divided 1718 first-episode and untreated MDD outpatients into those who did not have suicide attempts (non-attempts), recent suicide attempters (≤14 days before assessment) and long - dated suicide attempters (> 30 days before assessment). Positive Symptom Scale of Positive and Negative Syndrome Scale (PANSS), the 17-item Hamilton Depression Scale, 14 - item Hamilton Anxiety Scale, and clinical global impression of severity scale (CGI-S) was assessed. Body mass index, some glycolipid metabolism and thyroid hormone parameters were measured. A gradient-boosted decision trees statistical model was used to generate equally weighted classification for distinguishing recent and long - dated suicide attempters from non-attempts. RESULTS The classifier identified higher excitement, hostility, anxiety, depression symptoms and higher free thyroxine (FT4) as risk factors for recent suicide attempters with an estimated accuracy of 87% (sensitivity, 59.1%; specificity, 61.2 %). For long - dated suicide attempters' risk factors, single status, higher anxiety and hostility symptoms, higher LDLC and lower BMI, the estimated accuracy was 88% (sensitivity, 52.8%; specificity, 49.6%). CONCLUSIONS Risk factors for suicide attempt among patients with MDD can be identified by integrating demographic, clinical, and biological variables as early as possible during the first time see a doctor.
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Affiliation(s)
- Xiao-Yan Li
- Rong Jun Hospital, Baoding 071000, Hebei Province, China
| | - Serik Tabarak
- Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China; Beijing Key laboratory of Drug Dependence, National Institute on Drug Dependence, Peking University, Beijing, China
| | - Xiu-Ru Su
- Rong Jun Hospital, Baoding 071000, Hebei Province, China
| | - Zengchang Qin
- Intelligent Computing and Machine Learning Lab, School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
| | - Yuan Chai
- Intelligent Computing and Machine Learning Lab, School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
| | - Shunyu Zhang
- Intelligent Computing and Machine Learning Lab, School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
| | - Ke-Qiang Wang
- Rong Jun Hospital, Baoding 071000, Hebei Province, China
| | - Heng-Yong Guan
- Rong Jun Hospital, Baoding 071000, Hebei Province, China
| | - Shu-Lan Lu
- Rong Jun Hospital, Baoding 071000, Hebei Province, China
| | - Ying-Nan Chen
- Rong Jun Hospital, Baoding 071000, Hebei Province, China
| | - Hong-Mei Chen
- Rong Jun Hospital, Baoding 071000, Hebei Province, China
| | - Long Zhao
- Rong Jun Hospital, Baoding 071000, Hebei Province, China
| | - Yan-Xin Lu
- Rong Jun Hospital, Baoding 071000, Hebei Province, China
| | - Su-Xia Li
- Beijing Key laboratory of Drug Dependence, National Institute on Drug Dependence, Peking University, Beijing, China; Department of Pharmacology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
| | - Xiang-Yang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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