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4. Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

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Steinmetz, Jaimie D, Seeher, Katrin Maria, Schiess, Nicoline, Nichols, Emma, Cao, Bochen, Servili, Chiara, Cavallera, Vanessa, Cousin, Ewerton, Hagins, Hailey, Moberg, Madeline E, Mehlman, Max L, Abate, Yohannes Habtegiorgis, Abbas, Jaffar, Abbasi, Madineh Akram, Abbasian, Mohammadreza, Abbastabar, Hedayat, Abdelmasseh, Michael, Abdollahi, Mohammad, Abdollahi, Mozhan, Abdollahifar, Mohammad-Amin, Abd-Rabu, Rami, Abdulah, Deldar Morad, Abdullahi, Auwal, Abedi, Aidin, Abedi, Vida, Abeldańo Zuńiga, Roberto Ariel, Abidi, Hassan, Abiodun, Olumide, Aboagye, Richard Gyan, Abolhassani, Hassan, Aboyans, Victor, Abrha, Woldu Aberhe, Abualhasan, Ahmed, Abu-Gharbieh, Eman, Aburuz, Salahdein, Adamu, Lawan Hassan, Addo, Isaac Yeboah, Adebayo, Oladimeji M, Adekanmbi, Victor, Adekiya, Tayo Alex, Adikusuma, Wirawan, Adnani, Qorinah Estiningtyas Sakilah, Adra, Saryia, Afework, Tsion, Afolabi, Aanuoluwapo Adeyimika, Afraz, Ali, Afzal, Saira, Aghamiri, Shahin, Agodi, Antonella, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Sajjad, Ahmadzade, Amir Mahmoud, Ahmed, Ali, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Jivan Qasim, Ahmed, Luai A, Ahmed, Muktar Beshir, Ahmed, Syed Anees, Ajami, Marjan, Aji, Budi, Ajumobi, Olufemi, Akade, Seyed Esma'il, Akbari, Morteza, Akbarialiabad, Hossein, Akhlaghi, Shiva, Akinosoglou, Karolina, Akinyemi, Rufus Olusola, Akonde, Maxwell, Al Hasan, Syed Mahfuz, Alahdab, Fares, AL-Ahdal, Tareq Mohammed Ali, Al-amer, Rasmieh Mustafa, Albashtawy, Mohammed, AlBataineh, Mohammad T, Aldawsari, Khalifah A, Alemi, Hediyeh, Alemi, Sharifullah, Algammal, Abdelazeem M, Al-Gheethi, Adel Ali Saeed, Alhalaiqa, Fadwa Alhalaiqa Naji, Alhassan, Robert Kaba, Ali, Abid, Ali, Endale Alemayehu, Ali, Liaqat, Ali, Mohammed Usman, Ali, Musa Mohammed, Ali, Rafat, Ali, Shahid, Ali, Syed Shujait Shujait, Ali, Zahid, Alif, Sheikh Mohammad, Alimohamadi, Yousef, Aliyi, Ahmednur Adem, Aljofan, Mohamad, Aljunid, Syed Mohamed, Alladi, Suvarna, Almazan, Joseph Uy, Almustanyir, Sami, Al-Omari, Basem, Alqahtani, Jaber S, Alqasmi, Ibrahim, Alqutaibi, Ahmed Yaseen, Al-Shahi Salman, Rustam, Altaany, Zaid, Al-Tawfiq, Jaffar A, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Al-Worafi, Yaser Mohammed, Aly, Hany, Aly, Safwat, Alzoubi, Karem H, Amani, Reza, Amindarolzarbi, Alireza, Amiri, Sohrab, Amirzade-Iranaq, Mohammad Hosein, Amu, Hubert, Amugsi, Dickson A, Amusa, Ganiyu Adeniyi, Amzat, Jimoh, Ancuceanu, Robert, Anderlini, Deanna, Anderson, David B, Andrei, Catalina Liliana, Androudi, Sofia, Angappan, Dhanalakshmi, Angesom, Teklit W, Anil, Abhishek, Ansari-Moghaddam, Alireza, Anwer, Razique, Arafat, Mosab, Aravkin, Aleksandr Y, Areda, Demelash, Ariffin, Hany, Arifin, Hidayat, Arkew, Mesay, Ärnlöv, Johan, Arooj, Mahwish, Artamonov, Anton A, Artanti, Kurnia Dwi, Aruleba, Raphael Taiwo, Asadi-Pooya, Ali A, Asena, Tilahun Ferede, Asghari-Jafarabadi, Mohammad, Ashraf, Muhammad, Ashraf, Tahira, Atalell, Kendalem Asmare, Athari, Seyyed Shamsadin, Atinafu, Bantalem Tilaye Tilaye, Atorkey, Prince, Atout, Maha Moh'd Wahbi, Atreya, Alok, Aujayeb, Avinash, Avan, Abolfazl, Ayala Quintanilla, Beatriz Paulina, Ayatollahi, Haleh, Ayinde, Olatunde O, Ayyoubzadeh, Seyed Mohammad, Azadnajafabad, Sina, Azizi, Zahra, Azizian, Khalil, Azzam, Ahmed Y, Babaei, Mahsa, Badar, Muhammad, Badiye, Ashish D, Baghdadi, Soroush, Bagherieh, Sara, Bai, Ruhai, Baig, Atif Amin, Balakrishnan, Senthilkumar, Balalla, Shivanthi, Baltatu, Ovidiu Constantin, Banach, Maciej, Bandyopadhyay, Soham, Banerjee, Indrajit, Baran, Mehmet Firat, Barboza, Miguel A, Barchitta, Martina, Bardhan, Mainak, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barrow, Amadou, Bashash, Davood, Bashiri, Hamideh, Bashiru, Hameed Akande, Basiru, Afisu, Basso, João Diogo, Basu, Sanjay, Batiha, Abdul-Monim Mohammad, Batra, Kavita, Baune, Bernhard T, Bedi, Neeraj, Begde, Ahmet, Begum, Tahmina, Behnam, Babak, Behnoush, Amir Hossein, Beiranvand, Maryam, Béjot, Yannick, Bekele, Alehegn, Belete, Melaku Ashagrie, Belgaumi, Uzma Iqbal, Bemanalizadeh, Maryam, Bender, Rose G, Benfor, Bright, Bennett, Derrick A, Bensenor, Isabela M, Berice, Betyna, Bettencourt, Paulo J G, Beyene, Kebede A, Bhadra, Abhishek, Bhagat, Devidas S, Bhangdia, Kayleigh, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhargava, Ashish, Bhaskar, Sonu, Bhat, Ajay Nagesh, Bhat, Vivek, Bhatti, Gurjit Kaur, Bhatti, Jasvinder Singh, Bhatti, Rajbir, Bijani, Ali, Bikbov, Boris, Bilalaga, Mariah Malak, Biswas, Atanu, Bitaraf, Saeid, Bitra, Veera R, Bjørge, Tone, Bodolica, Virginia, Bodunrin, Aadam Olalekan, Boloor, Archith, Braithwaite, Dejana, Brayne, Carol, Brenner, Hermann, Briko, Andrey, Bringas Vega, Maria L, Brown, Julie, Budke, Christine M, Buonsenso, Danilo, Burkart, Katrin, Burns, Richard A, Bustanji, Yasser, Butt, Muhammad Hammad, Butt, Nadeem Shafique, Butt, Zahid A, Cabral, Lucas Scotta, Caetano dos Santos, Florentino Luciano, Calina, Daniela, Campos-Nonato, Ismael R, Cao, Chao, Carabin, Hélène, Cárdenas, Rosario, Carreras, Giulia, Carvalho, Andre F, Castańeda-Orjuela, Carlos A, Casulli, Adriano, Catalá-López, Ferrán, Catapano, Alberico L, Caye, Arthur, Cegolon, Luca, Cenderadewi, Muthia, Cerin, Ester, Chacón-Uscamaita, Pamela R, Chan, Jeffrey Shi Kai, Chanie, Gashaw Sisay, Charan, Jaykaran, Chattu, Vijay Kumar, Chekol Abebe, Endeshaw, Chen, Hui, Chen, Jianqi, Chi, Gerald, Chichagi, Fatemeh, Chidambaram, Saravana Babu, Chimoriya, Ritesh, Ching, Patrick R, Chitheer, Abdulaal, Chong, Yuen Yu, Chopra, Hitesh, Choudhari, Sonali Gajanan, Chowdhury, Enayet Karim, Chowdhury, Rajiv, Christensen, Hanne, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Chung, Eric, Coberly, Kaleb, Columbus, Alyssa, Comachio, Josielli, Conde, Joao, Cortesi, Paolo Angelo, Costa, Vera Marisa, Couto, Rosa A S, Criqui, Michael H, Cruz-Martins, Natália, Dabbagh Ohadi, Mohammad Amin, Dadana, Sriharsha, Dadras, Omid, Dai, Xiaochen, Dai, Zhaoli, D'Amico, Emanuele, Danawi, Hadi A, Dandona, Lalit, Dandona, Rakhi, Darwish, Amira Hamed, Das, Saswati, Das, Subasish, Dascalu, Ana Maria, Dash, Nihar Ranjan, Dashti, Mohsen, De la Hoz, Fernando Pio, de la Torre-Luque, Alejandro, De Leo, Diego, Dean, Frances E, Dehghan, Amin, Dehghan, Azizallah, Dejene, Hiwot, Demant, Daniel, Demetriades, Andreas K, Demissie, Solomon, Deng, Xinlei, Desai, Hardik Dineshbhai, Devanbu, Vinoth Gnana Chellaiyan, Dhama, Kuldeep, Dharmaratne, Samath Dhamminda, Dhimal, Meghnath, Dias da Silva, Diana, Diaz, Daniel, Dibas, Mahmoud, Ding, Delaney D, Dinu, Monica, Dirac, M Ashworth, Diress, Mengistie, Do, Thanh Chi, Do, Thao Huynh Phuong, Doan, Khanh Duy Khanh, Dodangeh, Milad, Doheim, Mohamed Fahmy, Dokova, Klara Georgieva, Dongarwar, Deepa, Dsouza, Haneil Larson, Dube, John, Duraisamy, Senbagam, Durojaiye, Oyewole Christopher, Dutta, Sulagna, Dziedzic, Arkadiusz Marian, Edinur, Hisham Atan, Eissazade, Negin, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, El Nahas, Nevine, El Sayed, Iman, Elahi Najafi, Mohammad Amin, Elbarazi, Iffat, Elemam, Noha Mousaad, Elgar, Frank J, Elgendy, Islam Y, Elhabashy, Hala Rashad, Elhadi, Muhammed, Elilo, Legesse Tesfaye, Ellenbogen, Richard G, Elmeligy, Omar Abdelsadek Abdou, Elmonem, Mohamed A, Elshaer, Mohammed, Elsohaby, Ibrahim, Emamverdi, Mehdi, Emeto, Theophilus I, Endres, Matthias, Esezobor, Christopher Imokhuede, Eskandarieh, Sharareh, Fadaei, Abdolmajid, Fagbamigbe, Adeniyi Francis, Fahim, Ayesha, Faramarzi, Ali, Fares, Jawad, Farjoud Kouhanjani, Mohsen, Faro, Andre, Farzadfar, Farshad, Fatehizadeh, Ali, Fathi, Mobina, Fathi, Saeid, Fatima, Syeda Anum Fatima, Feizkhah, Alireza, Fereshtehnejad, Seyed-Mohammad, Ferrari, Alize J, Ferreira, Nuno, Fetensa, Getahun, Firouraghi, Neda, Fischer, Florian, Fonseca, Ana Catarina, Force, Lisa M, Fornari, Arianna, Foroutan, Behzad, Fukumoto, Takeshi, Gadanya, Muktar A, Gaidhane, Abhay Motiramji, Galali, Yaseen, Galehdar, Nasrin, Gan, Quan, Gandhi, Aravind P, Ganesan, Balasankar, Gardner, William M, Garg, Naval, Gau, Shuo-Yan, Gautam, Rupesh K, Gebre, Teshome, Gebrehiwot, Mesfin, Gebremeskel, Gebreamlak Gebremedhn, Gebreslassie, Haftay Gebremedhin, Getacher, Lemma, Ghaderi Yazdi, Bardiya, Ghadirian, Fataneh, Ghaffarpasand, Fariborz, Ghanbari, Reza, Ghasemi, MohammadReza, Ghazy, Ramy Mohamed, Ghimire, Sailaja, Gholami, Ali, Gholamrezanezhad, Ali, Ghotbi, Elena, Ghozy, Sherief, Gialluisi, Alessandro, Gill, Paramjit Singh, Glasstetter, Logan M, Gnedovskaya, Elena V, Golchin, Ali, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Gomes-Neto, Mansueto, Goulart, Alessandra C, Goyal, Anmol, Gray, Richard J, Grivna, Michal, Guadie, Habtamu Alganeh, Guan, Bin, Guarducci, Giovanni, Guicciardi, Stefano, Gunawardane, Damitha Asanga, Guo, Hanbing, Gupta, Bhawna, Gupta, Rajeev, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Gutiérrez, Reyna Alma, Habibzadeh, Farrokh, Hachinski, Vladimir, Haddadi, Rasool, Hadei, Mostafa, Hadi, Najah R, Haep, Nils, Haile, Teklehaimanot Gereziher, Haj-Mirzaian, Arvin, Hall, Brian J, Halwani, Rabih, Hameed, Sajid, Hamiduzzaman, Mohammad, Hammoud, Ahmad, Han, Hannah, Hanifi, Nasrin, Hankey, Graeme J, Hannan, Md. Abdul, Hao, Junwei, Harapan, Harapan, Hareru, Habtamu Endashaw, Hargono, Arief, Harlianto, Netanja I., Haro, Josep Maria, Hartman, Nicholas Nathaniel, Hasaballah, Ahmed I., Hasan, Faizul, Hasani, Hamidreza, Hasanian, Mohammad, Hassan, Amr, Hassan, Shoaib, Hassanipour, Soheil, Hassankhani, Hadi, Hassen, Mohammed Bheser, Haubold, Johannes, Hay, Simon I, Hayat, Khezar, Hegazy, Mohamed I, Heidari, Golnaz, Heidari, Mohammad, Heidari-Soureshjani, Reza, Hesami, Hamed, Hezam, Kamal, Hiraike, Yuta, Hoffman, Howard J, Holla, Ramesh, Hopf, Kathleen Pillsbury, Horita, Nobuyuki, Hossain, Md Mahbub, Hossain, Md. Belal, Hossain, Sahadat, Hosseinzadeh, Hassan, Hosseinzadeh, Mehdi, Hostiuc, Sorin, Hu, Chengxi, Huang, Junjie, Huda, Md. Nazmul, Hussain, Javid, Hussein, Nawfal R, Huynh, Hong-Han, Hwang, Bing-Fang, Ibitoye, Segun Emmanuel, Ilaghi, Mehran, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Immurana, Mustapha, Iravanpour, Farideh, Islam, Sheikh Mohammed Shariful, Ismail, Faisal, Iso, Hiroyasu, Isola, Gaetano, Iwagami, Masao, Iwu, Chidozie C D, Iyer, Mahalaxmi, Jaan, Ali, Jacob, Louis, Jadidi-Niaragh, Farhad, Jafari, Mahboobeh, Jafarinia, Morteza, Jafarzadeh, Abdollah, Jahankhani, Kasra, Jahanmehr, Nader, Jahrami, Haitham, Jaiswal, Abhishek, Jakovljevic, Mihajlo, Jamora, Roland Dominic G, Jana, Somnath, Javadi, Nilofer, Javed, Saad, Javeed, Saad, Jayapal, Sathish Kumar, Jayaram, Shubha, Jiang, Heng, Johnson, Catherine Owens, Johnson, Walter D, Jokar, Mohammad, Jonas, Jost B, Joseph, Abel, Joseph, Nitin, Joshua, Charity Ehimwenma, Jürisson, Mikk, Kabir, Ali, Kabir, Zubair, Kabito, Gebisa Guyasa, Kadashetti, Vidya, Kafi, Fatemeh, Kalani, Rizwan, Kalantar, Farnaz, Kaliyadan, Feroze, Kamath, Ashwin, Kamath, Sagarika, Kanchan, Tanuj, Kandel, Amit, Kandel, Himal, Kanmodi, Kehinde Kazeem, Karajizadeh, Mehrdad, Karami, Jafar, Karanth, Shama D, Karaye, Ibraheem M, Karch, André, Karimi, Aliasghar, Karimi, Hanie, Karimi Behnagh, Arman, Kasraei, Hengameh, Kassebaum, Nicholas J, Kauppila, Joonas H, Kaur, Harkiran, Kaur, Navjot, Kayode, Gbenga A, Kazemi, Foad, Keikavoosi-Arani, Leila, Keller, Cathleen, Keykhaei, Mohammad, Khadembashiri, Mohammad Amin, Khader, Yousef Saleh, Khafaie, Morteza Abdullatif, Khajuria, Himanshu, Khalaji, Amirmohammad, Khamesipour, Faham, Khammarnia, Mohammad, Khan, Maseer, Khan, Moien AB, Khan, Yusra H, Khan Suheb, Mahammed Ziauddin, Khanmohammadi, Shaghayegh, Khanna, Tripti, Khatab, Khaled, Khatatbeh, Haitham, Khatatbeh, Moawiah Mohammad, Khateri, Sorour, Khatib, Mahalaqua Nazli, Khayat Kashani, Hamid Reza, Khonji, Mohammad Saeid, khorashadizadeh, Fatemeh, Khormali, Moein, Khubchandani, Jagdish, Kian, Saeid, Kim, Grace, Kim, Jihee, Kim, Min Seo, Kim, Yun Jin, Kimokoti, Ruth W, Kisa, Adnan, Kisa, Sezer, Kivimäki, Mika, Kochhar, Sonali, Kolahi, Ali-Asghar, Koly, Kamrun Nahar, Kompani, Farzad, Koroshetz, Walter J, Kosen, Soewarta, Kourosh Arami, Masoumeh, Koyanagi, Ai, Kravchenko, Michael A, Krishan, Kewal, Krishnamoorthy, Vijay, Kuate Defo, Barthelemy, Kuddus, Md Abdul, Kumar, Ashish, Kumar, G Anil, Kumar, Manasi, Kumar, Nithin, Kumsa, Netsanet Bogale, Kundu, Satyajit, Kurniasari, Maria Dyah, Kusuma, Dian, Kuttikkattu, Ambily, Kyu, Hmwe Hmwe, La Vecchia, Carlo, Ladan, Muhammad Awwal, Lahariya, Chandrakant, Laksono, Tri, Lal, Dharmesh Kumar, Lallukka, Tea, Lám, Judit, Lami, Faris Hasan, Landires, Iván, Langguth, Berthold, Lasrado, Savita, Latief, Kamaluddin, Latifinaibin, Kaveh, Lau, Kathryn Mei-Ming, Laurens, Matthew B, Lawal, Basira Kankia, Le, Long Khanh Dao, Le, Thao Thi Thu, Ledda, Caterina, Lee, Munjae, Lee, Sang-woong, Lee, Seung Won, Lee, Wei-Chen, Lee, Yo Han, Leonardi, Matilde, Lerango, Temesgen L, Li, Ming-Chieh, Li, Wei, Ligade, Virendra S, Lim, Stephen S, Linehan, Christine, Liu, Chaojie, Liu, Jue, Liu, Wei, Lo, Chun-Han, Lo, Warren David, Lobo, Stany W, Logroscino, Giancarlo, Lopes, Graciliana, Lopukhov, Platon D, Lorenzovici, László, Lorkowski, Stefan, Loureiro, Joana A, Lubinda, Jailos, Lucchetti, Giancarlo, Lutzky Saute, Ricardo, Ma, Zheng Feei, Mabrok, Mahmoud, Machoy, Monika, Madadizadeh, Farzan, Magdy Abd El Razek, Mohammed, Maghazachi, Azzam A, Maghbouli, Nastaran, Mahjoub, Soleiman, Mahmoudi, Morteza, Majeed, Azeem, Malagón-Rojas, Jeadran N., Malakan Rad, Elaheh, Malhotra, Kashish, Malik, Ahmad Azam, Malik, Iram, Mallhi, Tauqeer Hussain, Malta, Deborah Carvalho, Manilal, Aseer, Mansouri, Vahid, Mansournia, Mohammad Ali, Marasini, Bishnu P, Marateb, Hamid Reza, Maroufi, Seyed Farzad, Martinez-Raga, Jose, Martini, Santi, Martins-Melo, Francisco Rogerlândio, Martorell, Miquel, März, Winfried, Marzo, Roy Rillera, Massano, João, Mathangasinghe, Yasith, Mathews, Elezebeth, Maude, Richard James, Maugeri, Andrea, Maulik, Pallab K, Mayeli, Mahsa, Mazaheri, Maryam, McAlinden, Colm, McGrath, John J, Meena, Jitendra Kumar, Mehndiratta, Man Mohan, Mendez-Lopez, Max Alberto Mendez, Mendoza, Walter, Mendoza-Cano, Oliver, Menezes, Ritesh G, Merati, Mohsen, Meretoja, Atte, Merkin, Alexander, Mersha, Abera M, Mestrovic, Tomislav, Mi, Tianyue, Miazgowski, Tomasz, Michalek, Irmina Maria, Mihretie, Ephrem Tesfaye, Minh, Le Huu Nhat, Mirfakhraie, Reza, Mirica, Andreea, Mirrakhimov, Erkin M, Mirzaei, Mehdi, Misganaw, Awoke, Misra, Sanjeev, Mithra, Prasanna, Mizana, Biru Abdissa, Mohamadkhani, Ashraf, Mohamed, Nouh Saad, Mohammadi, Esmaeil, Mohammadi, Hiwa, Mohammadi, Shadieh, Mohammadi, Soheil, Mohammadshahi, Marita, Mohammed, Mustapha, Mohammed, Salahuddin, Mohammed, Shafiu, Mohan, Syam, Mojiri-forushani, Hoda, Moka, Nagabhishek, Mokdad, Ali H, Molinaro, Sabrina, Möller, Holger, Monasta, Lorenzo, Moniruzzaman, Md, Montazeri, Fateme, Moradi, Maryam, Moradi, Yousef, Moradi-Lakeh, Maziar, Moraga, Paula, Morovatdar, Negar, Morrison, Shane Douglas, Mosapour, Abbas, Mosser, Jonathan F, Mossialos, Elias, Motaghinejad, Majid, Mousavi, Parsa, Mousavi, Seyed Ehsan, Mubarik, Sumaira, Muccioli, Lorenzo, Mughal, Faraz, Mukoro, George Duke, Mulita, Admir, Mulita, Francesk, Musaigwa, Fungai, Mustafa, Ahmad, Mustafa, Ghulam, Muthu, Sathish, Nagarajan, Ahamarshan Jayaraman, Naghavi, Pirouz, Naik, Ganesh R, Nainu, Firzan, Nair, Tapas Sadasivan, Najmuldeen, Hastyar Hama Rashid, Nakhostin Ansari, Noureddin, Nambi, Gopal, Namdar Areshtanab, Hossein, Nargus, Shumaila, Nascimento, Bruno Ramos, Naser, Abdallah Y, Nashwan, Abdulqadir J J, Nasoori, Hadis, Nasreldein, Ahmed, Natto, Zuhair S, Nauman, Javaid, Nayak, Biswa Prakash, Nazri-Panjaki, Athare, Negaresh, Mohammad, Negash, Hadush, Negoi, Ionut, Negoi, Ruxandra Irina, Negru, Serban Mircea, Nejadghaderi, Seyed Aria, Nematollahi, Mohammad Hadi, Nesbit, Olivia D, Newton, Charles Richard James, Nguyen, Dang H, Nguyen, Hau Thi Hien, Nguyen, Hien Quang, Nguyen, Ngoc-Trinh Thi, Nguyen, Phat Tuan, Nguyen, Van Thanh, Niazi, Robina Khan, Nikolouzakis, Taxiarchis Konstantinos, Niranjan, Vikram, Nnyanzi, Lawrence Achilles, Noman, Efaq Ali, Noroozi, Nafise, Norrving, Bo, Noubiap, Jean Jacques, Nri-Ezedi, Chisom Adaobi, Ntaios, George, Nuńez-Samudio, Virginia, Nurrika, Dieta, Oancea, Bogdan, Odetokun, Ismail A, O'Donnell, Martin James, Ogunsakin, Ropo Ebenezer, Oguta, James Odhiambo, Oh, In-Hwan, Okati-Aliabad, Hassan, Okeke, Sylvester Reuben, Okekunle, Akinkunmi Paul, Okonji, Osaretin Christabel, Okwute, Patrick Godwin, Olagunju, Andrew T, Olaiya, Muideen Tunbosun, Olana, Matifan Dereje, Olatubi, Matthew Idowu, Oliveira, Gláucia Maria Moraes, Olufadewa, Isaac Iyinoluwa, Olusanya, Bolajoko Olubukunola, Omar Bali, Ahmed, Ong, Sokking, Onwujekwe, Obinna E, Ordak, Michal, Orji, Aislyn U, Ortega-Altamirano, Doris V, Osuagwu, Uchechukwu Levi, Otstavnov, Nikita, Otstavnov, Stanislav S, Ouyahia, Amel, Owolabi, Mayowa O, P A, Mahesh Padukudru, Pacheco-Barrios, Kevin, Padubidri, Jagadish Rao, Pal, Pramod Kumar, Palange, Padmavali Nanaji, Palladino, Claudia, Palladino, Raffaele, Palma-Alvarez, Raul Felipe, Pan, Feng, Panagiotakos, Demosthenes, Panda-Jonas, Songhomitra, Pandey, Anamika, Pandey, Ashok, Pandian, Jeyaraj Durai, Pangaribuan, Helena Ullyartha, Pantazopoulos, Ioannis, Pardhan, Shahina, Parija, Pragyan Paramita, Parikh, Romil R, Park, Seoyeon, Parthasarathi, Ashwaghosha, Pashaei, Ava, Patel, Jay, Patil, Shankargouda, Patoulias, Dimitrios, Pawar, Shrikant, Pedersini, Paolo, Pensato, Umberto, Pereira, David M, Pereira, Jeevan, Pereira, Maria Odete, Peres, Mario F P, Perico, Norberto, Perna, Simone, Petcu, Ionela-Roxana, Petermann-Rocha, Fanny Emily, Pham, Hoang Tran, Phillips, Michael R, Pinilla-Monsalve, Gabriel D, Piradov, Michael A, Plotnikov, Evgenii, Poddighe, Dimitri, Polat, Burcu, Poluru, Ramesh, Pond, Constance Dimity, Poudel, Govinda Raj, Pouramini, Alireza, Pourbagher-Shahri, Ali Mohammad, Pourfridoni, Mohammad, Pourtaheri, Naeimeh, Prakash, Peralam Yegneswaran, Prakash, Sanjay, Prakash, V, Prates, Elton Junio Sady, Pritchett, Natalie, Purnobasuki, Hery, Qasim, Nameer Hashim, Qattea, Ibrahim, Qian, Gangzhen, Radhakrishnan, Venkatraman, Raee, Pourya, Raeisi Shahraki, Hadi, Rafique, Ibrar, Raggi, Alberto, Raghav, Pankaja Raghav, Rahati, Meghdad M, Rahim, Fakher, Rahimi, Zahra, Rahimifard, Mahban, Rahman, Md Obaidur, Rahman, Mohammad Hifz Ur, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rahmani, Shayan, Rahmani Youshanlouei, Hamed, Rahmati, Masoud, Raj Moolambally, Sheetal, Rajabpour-Sanati, Ali, Ramadan, Hazem, Ramasamy, Shakthi Kumaran, Ramasubramani, Premkumar, Ramazanu, Sheena, Rancic, Nemanja, Rao, Indu Ramachandra, Rao, Sowmya J, Rapaka, Deepthi, Rashedi, Vahid, Rashid, Ahmed Mustafa, Rashidi, Mohammad-Mahdi, Rashidi Alavijeh, Mehran, Rasouli-Saravani, Ashkan, Rawaf, Salman, Razo, Christian, Redwan, Elrashdy Moustafa Mohamed, Rekabi Bana, Atefe, Remuzzi, Giuseppe, Rezaei, Nazila, Rezaei, Negar, Rezaei, Nima, Rezaeian, Mohsen, Rhee, Taeho Gregory, Riad, Abanoub, Robinson, Stephen R, Rodrigues, Mónica, Rodriguez, Jefferson Antonio Buendia, Roever, Leonardo, Rogowski, Emma L B, Romoli, Michele, Ronfani, Luca, Roy, Priyanka, Roy Pramanik, Koushik, Rubagotti, Enrico, Ruiz, Milagros A, Russ, Tom C, S Sunnerhagen, Katharina, Saad, Aly M A, Saadatian, Zahra, Saber, Korosh, SaberiKamarposhti, Morteza, Sacco, Simona, Saddik, Basema, Sadeghi, Erfan, Sadeghian, Saeid, Saeed, Umar, Saeed, Usman, Safdarian, Mahdi, Safi, Sher Zaman, Sagar, Rajesh, Sagoe, Dominic, Saheb Sharif-Askari, Fatemeh, Saheb Sharif-Askari, Narjes, Sahebkar, Amirhossein, Sahoo, Soumya Swaroop, Sahraian, Mohammad Ali, Sajedi, Seyed Aidin, Sakshaug, Joseph W, Saleh, Mohamed A, Salehi Omran, Hossein, Salem, Marwa Rashad, Salimi, Sohrab, Samadi Kafil, Hossein, Samadzadeh, Sara, Samargandy, Saad, Samodra, Yoseph Leonardo, Samuel, Vijaya Paul, Samy, Abdallah M, Sanadgol, Nima, Sanjeev, Rama Krishna, Sanmarchi, Francesco, Santomauro, Damian Francesco, Santri, Ichtiarini Nurullita, Santric-Milicevic, Milena M, Saravanan, Aswini, Sarveazad, Arash, Satpathy, Maheswar, Saylan, Mete, Sayyah, Mehdi, Scarmeas, Nikolaos, Schlaich, Markus P, Schuermans, Art, Schwarzinger, Michaël, Schwebel, David C, Selvaraj, Siddharthan, Sendekie, Ashenafi Kibret, Sengupta, Pallav, Senthilkumaran, Subramanian, Serban, Dragos, Sergindo, Mihretu Tagesse, Sethi, Yashendra, SeyedAlinaghi, SeyedAhmad, Seylani, Allen, Shabani, Mohammad, Shabany, Maryam, Shafie, Mahan, Shahabi, Saeed, Shahbandi, Ataollah, Shahid, Samiah, Shahraki-Sanavi, Fariba, Shahsavari, Hamid R, Shahwan, Moyad Jamal, Shaikh, Masood Ali, Shaji, KS, Sham, Sunder, Shama, Adisu Tafari T, Shamim, Muhammad Aaqib, Shams-Beyranvand, Mehran, Shamsi, Mohammad Anas, Shanawaz, Mohd, Sharath, Medha, Sharfaei, Sadaf, Sharifan, Amin, Sharma, Manoj, Sharma, Rajesh, Shashamo, Bereket Beyene, Shayan, Maryam, Sheikhi, Rahim Ali, Shekhar, Shashank, Shen, Jiabin, Shenoy, Suchitra M, Shetty, Pavanchand H, Shiferaw, Desalegn Shiferaw, Shigematsu, Mika, Shiri, Rahman, Shittu, Aminu, Shivakumar, K M, Shokri, Fereshteh, Shool, Sina, Shorofi, Seyed Afshin, Shrestha, Sunil, Siankam Tankwanchi, Akhenaten Benjamin, Siddig, Emmanuel Edwar, Sigfusdottir, Inga Dora, Silva, João Pedro, Silva, Luís Manuel Lopes Rodrigues, Sinaei, Ehsan, Singh, Balbir Bagicha, Singh, Garima, Singh, Paramdeep, Singh, Surjit, Sirota, Sarah Brooke, Sivakumar, Shravan, Sohag, Abdullah Al Mamun, Solanki, Ranjan, Soleimani, Hamidreza, Solikhah, Solikhah, Solomon, Yerukneh, Solomon, Yonatan, Song, Suhang, Song, Yimeng, Sotoudeh, Houman, Spartalis, Michael, Stark, Benjamin A, Starnes, Joseph R, Starodubova, Antonina V, Stein, Dan J, Steiner, Timothy J, Stovner, Lars Jacob, Suleman, Muhammad, Suliankatchi Abdulkader, Rizwan, Sultana, Abida, Sun, Jing, Sunkersing, David, Sunny, Angel, Susianti, Hani, Swain, Chandan Kumar, Szeto, Mindy D, Tabarés-Seisdedos, Rafael, Tabatabaei, Seyyed Mohammad, Tabatabai, Shima, Tabish, Mohammad, Taheri, Majid, Tahvildari, Azin, Tajbakhsh, Ardeshir, Tampa, Mircea, Tamuzi, Jacques JL Lukenze, Tan, Ker-Kan, Tang, Haosu, Tareke, Minale, Tarigan, Ingan Ukur, Tat, Nathan Y, Tat, Vivian Y, Tavakoli Oliaee, Razieh, Tavangar, Seyed Mohammad, Tavasol, Arian, Tefera, Yibekal Manaye, Tehrani-Banihashemi, Arash, Temesgen, Worku Animaw, Temsah, Mohamad-Hani, Teramoto, Masayuki, Tesfaye, Amensisa Hailu, Tesfaye, Edosa Geta, Tesler, Riki, Thakali, Ocean, Thangaraju, Pugazhenthan, Thapa, Rajshree, Thapar, Rekha, Thomas, Nikhil Kenny, Thrift, Amanda G, Ticoalu, Jansje Henny Vera, Tillawi, Tala, Toghroli, Razie, Tonelli, Marcello, Tovani-Palone, Marcos Roberto, Traini, Eugenio, Tran, Nghia Minh, Tran, Ngoc-Ha, Tran, Phu Van, Tromans, Samuel Joseph, Truelsen, Thomas Clement, Truyen, Thien Tan Tri Tai, Tsatsakis, Aristidis, Tsegay, Guesh Mebrahtom, Tsermpini, Evangelia Eirini, Tualeka, Abdul Rohim, Tufa, Derara Girma, Ubah, Chukwudi S, Udoakang, Aniefiok John, Ulhaq, Inam, Umair, Muhammad, Umakanthan, Srikanth, Umapathi, Krishna Kishore, Unim, Brigid, Unnikrishnan, Bhaskaran, Vaithinathan, Asokan Govindaraj, Vakilian, Alireza, Valadan Tahbaz, Sahel, Valizadeh, Rohollah, Van den Eynde, Jef, Vart, Priya, Varthya, Shoban Babu, Vasankari, Tommi Juhani, Vaziri, Siavash, Vellingiri, Balachandar, Venketasubramanian, Narayanaswamy, Verras, Georgios-Ioannis, Vervoort, Dominique, Villafańe, Jorge Hugo, Villani, Leonardo, Vinueza Veloz, Andres Fernando, Viskadourou, Maria, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Volovat, Simona Ruxandra, Vu, Loc Tri, Vujcic, Isidora S, Wagaye, Birhanu, Waheed, Yasir, Wahood, Waseem, Walde, Mandaras Tariku, Wang, Fang, Wang, Shu, Wang, Yanzhong, Wang, Yuan-Pang, Waqas, Muhammad, Waris, Abdul, Weerakoon, Kosala Gayan, Weintraub, Robert G, Weldemariam, Abrha Hailay, Westerman, Ronny, Whisnant, Joanna L, Wickramasinghe, Dakshitha Praneeth, Wickramasinghe, Nuwan Darshana, Willekens, Barbara, Wilner, Lauren B, Winkler, Andrea Sylvia, Wolfe, Charles D A, Wu, Ai-Min, Wulf Hanson, Sarah, Xu, Suowen, Xu, Xiaoyue, Yadollahpour, Ali, Yaghoubi, Sajad, Yahya, Galal, Yamagishi, Kazumasa, Yang, Lin, Yano, Yuichiro, Yao, Yao, Yehualashet, Sisay Shewasinad, Yeshaneh, Alex, Yesiltepe, Metin, Yi, Siyan, Yiğit, Arzu, Yiğit, Vahit, Yon, Dong Keon, Yonemoto, Naohiro, You, Yuyi, Younis, Mustafa Z, Yu, Chuanhua, Yusuf, Hadiza, Zadey, Siddhesh, Zahedi, Mohammad, Zakham, Fathiah, Zaki, Nazar, Zali, Alireza, Zamagni, Giulia, Zand, Ramin, Zandieh, Ghazal G Z, Zangiabadian, Moein, Zarghami, Amin, Zastrozhin, Mikhail Sergeevich, Zeariya, Mohammed G M, Zegeye, Zelalem Banjaw, Zeukeng, Francis, Zhai, Chunxia, Zhang, Chen, Zhang, Haijun, Zhang, Yunquan, Zhang, Zhi-Jiang, Zhao, Hanqing, Zhao, Yang, Zheng, Peng, Zhou, Hengxing, Zhu, Bin, Zhumagaliuly, Abzal, Zielińska, Magdalena, Zikarg, Yossef Teshome, Zoladl, Mohammad, Murray, Christopher J L, Ong, Kanyin Liane, Feigin, Valery L, Vos, Theo, and Dua, Tarun

Published
2024
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10. Developing the questionnaire of general population knowledge, attitudes and practices towards the COVID‐19 outbreak.

Author

Namdar Areshtanab, Hossein, Vahidi, Maryam, Hosseinzadeh, Mina, and Khani, Zahra

Subjects
HEALTH literacy, MULTITRAIT multimethod techniques, FEAR, CRONBACH'S alpha, RESEARCH funding, QUESTIONNAIRES, RESEARCH evaluation, VACCINATION, PUBLIC opinion, HYGIENE, COVID-19 vaccines, EXPERIMENTAL design, ATTITUDE (Psychology), RESEARCH methodology, RESEARCH, FACTOR analysis, PUBLIC health, COVID-19 pandemic, HOPE, COVID-19, EVALUATION
Abstract

Aim: To develop the general population knowledge, attitudes and practices (KAP) questionnaire towards the COVID‐19 outbreak. Design: A methodological study. Methods: The general population KAP questionnaire items were designed using a literature review. A panel of experts was used to calculate content validity ratio (CVR) and content validity index (CVI). Construct validity was examined using exploratory factor analysis (EFA) and hypothesis testing. Internal consistency of the questionnaire was measured using Cronbach's α coefficient. Eight hundred forty‐seven patients referred to health centres in Tabriz, Iran completed the questionnaire in 2021. Results: The developed questionnaire consisted of three parts, including knowledge, attitudes and practices. EFA identified three dimensions for the knowledge (ways of transmission and prevention, high‐risk groups, and symptoms and treatment), three dimensions for the attitudes (hope, fear and view of the vaccine) and three for the practices (adherence to personal and public hygiene, limiting their presence in society and protecting yourself in the community). The Kaiser–Meyer–Olkin index for knowledge, attitudes and practices was 0.733, 0.725 and 0.886, respectively, with a significant Bartlett's test of sphericity (p < 0.01). The hypotheses of knowledge and attitudes that are the related factors of practices were confirmed. Cronbach's α was 0.63, 0.74, 0.77, 0.1 and 0.85 for knowledge; fear, hope and view of the vaccine subscales of attitudes; and practices, respectively. Patient or Public Contribution: The developed 47‐item questionnaire had acceptable validity and reliability. Thus, nurses can use it to assess the clients' KAP during the COVID‐19 outbreak. Also, nursing researchers can use this questionnaire in their descriptive and interventional studies. [ABSTRACT FROM AUTHOR]

Published
2024
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19. Nurses' experiences of ethical and legal issues in post-resuscitation care: A qualitative content analysis.

Author

Zali, Mahnaz, Rahmani, Azad, Powers, Kelly, Hassankhani, Hadi, Namdar-Areshtanab, Hossein, and Gilani, Neda

Subjects
WORK experience (Employment), CARDIOPULMONARY resuscitation, RESEARCH, PRIVACY, PROFESSIONAL practice, NURSES' attitudes, JUDGMENT (Psychology), RESEARCH methodology, ATTITUDES of medical personnel, INTERVIEWING, EVIDENCE-based medicine, PSYCHOLOGY of nurses, QUALITATIVE research, SURVIVAL rate, COMPARATIVE studies, MEDICAL ethics, CARDIAC arrest, DECISION making, DESCRIPTIVE statistics, RESEARCH funding, NURSING ethics, CONTENT analysis, JUDGMENT sampling, SOCIAL skills, TERMINATION of treatment, PSYCHOLOGY of physicians, LONG-term health care
Abstract

Background: Cardiopulmonary resuscitation and subsequent care are subject to various ethical and legal issues. Few studies have addressed ethical and legal issues in post-resuscitation care. Objective: To explore nurses' experiences of ethical and legal issues in post-resuscitation care. Research design: This qualitative study adopted an exploratory descriptive qualitative design using conventional content analysis. Participants and research context: In-depth, semi-structured interviews were conducted in three educational hospital centers in northwestern Iran. Using purposive sampling, 17 nurses participated. Data were analyzed by conventional content analysis. Ethical considerations: The study was approved by Research Ethics Committees at Tabriz University of Medical Sciences. Participation was voluntary and written informed consent was obtained. For each interview, the ethical principles including data confidentiality and social distance were respected. Findings: Five main categories emerged: Pressure to provide unprincipled care, unprofessional interactions, ignoring the patient, falsifying documents, and specific ethical challenges. Pressures in the post-resuscitation period can cause nurses to provide care that is not consistent with guidelines, and to avoid communicating with physicians, patients and their families. Patients can also be labeled negatively, with early judgments made about their condition. Medical records can be written in a way to indicate that all necessary care has been provided. Disclosure, withdrawing, and withholding of therapy were also specific important ethical challenges in the field of post-resuscitation care. Conclusion: There are many ethical and legal issues in post-resuscitation care. Developing evidence-based guidelines and training staff to provide ethical care can help to reduce these challenges. [ABSTRACT FROM AUTHOR]

Published
2023
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20. Development of "The Safe Psychiatric Ward Battery".

Author

Vahidi, Maryam, Namdar Areshtanab, Hossein, Ebrahimi, Hossein, and Asghari Jafarabadi, Mohammad

Subjects
*EXPERIMENTAL design, *STATISTICS, *STATISTICAL reliability, *HEALTH facilities, *RESEARCH methodology, *RESEARCH methodology evaluation, *INTERVIEWING, *PSYCHOMETRICS, *QUALITATIVE research, *MULTITRAIT multimethod techniques, *INTER-observer reliability, *SELF-efficacy, *TEST validity, *CRONBACH'S alpha, *INTRACLASS correlation, *FACTOR analysis, *SCALE analysis (Psychology), *RESEARCH funding, *STATISTICAL sampling, *DATA analysis, *DATA analysis software, *PATIENT safety, *PSYCHIATRIC hospitals, RESEARCH evaluation
Abstract

This study reports the development process and psychometric testing of the safe environment in psychiatric wards instrument. In this mixed-methods study, the concept of a safe environment was explained with a qualitative study by performing semi-structured interviews with patients and staff and ward observation. Then, the items of the instrument were designed using qualitative data and a literature review. Content and construct validity, internal consistency, stability, and inter-rater agreement were evaluated. This study produced an instrument consisting of two sections. The first section was a scale (α =.920). Exploratory factor analysis of the scale identified two dimensions of "engagement" (α =.931) and "perception" of the physical environment (α =.760). The second section was a checklist with two dimensions, "accident-free living environment" and "staff empowerment." The intra-class correlation coefficients for the scale and checklist were.912 and.809, respectively. This study suggests that this instrument is a valid and reliable tool to assess safety in psychiatric wards. [ABSTRACT FROM AUTHOR]

Published
2023
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21. Happiness and its Relationship with Job Burnout in Nurses of Educational Hospitals in Tabriz, Iran

Author

Sharif, Tahere Javadi, Hosseinzadeh, Mina, Mahdavi, Nader, Namdar Areshtanab, Hossein, and Dickens, Geoffrey

Subjects
B900, lcsh:RT1-120, A900, lcsh:Nursing, lcsh:R, Happiness, Job burnout, lcsh:Medicine, Nurses, Original Article, A300, Iran, B700
Abstract

Background: Happiness is a positive feeling that is vital and significant to maintain health. Nursesare working in difficult conditions which may heavily affect their level of happiness and ability toprovide care. Job burnout is a mental reaction against some persistent source of workplace stress. Thepurpose of this study was to identify happiness and its relationship with job burnout in nurses workingat Tabriz’s educational hospitals.Methods: This descriptive-correlational study was conducted on 344 nurses working at Tabriz’s hospitalsin 2018. The subjects were selected by means of proportionate stratified random sampling. Data werecollected using three questionnaires (demographic information, job burnout with 22 items and threesubscales and Oxford happiness with 29 items) and analyzed in SPSS version16 using descriptive statistics.Statistical tests such as Pearson correlation coefficient, independent t-test, one-way ANOVA, and multiplelinear regression analysis were used to analyze the data.Results: The age range of the participants was 23–57 years with a mean of 35.9±7.5. The mean score ofhappiness was 64.2±11.5, (score range 35 to 116), which suggests an average level of happiness amongthe nurses. There was a negative correlation between happiness and total job burnout (r=-0.29, p This negative correlation remained significant (B=-0.15, p health status (B=-5.24, P=0.01), history of illness (B=-4.47, P=0.04), job position (B=-6.61, P=0.001),and type of employment (B=3.56, P=0.03) as potential confounding factors were adjusted.Conclusion: Considering the reverse relationship between job burnout and happiness, it is suggestedthat managers try to improve the workplace by managing condition which could lead to job burnout,and therefore use the results to increase the happiness of nurs.

Published
2020

29. Assessing the Virtual Social Networks Usage among Nursing Students: A Cross-Sectional Descriptive Study.

Author

Hame-Morad, Jamal, Namdar-Areshtanab, Hossein, Ebrahimi, Hossein, and Arshadi-Bostanabad, Mohammad

Subjects
*NURSING students, *SOCIAL networks, *VIRTUAL networks, *EXCHANGE of persons programs, *GRADE point average, *CROSS-sectional method
Abstract

Background: Nowadays, virtual social networks are among the most essential communication tools in the exchange of science, knowledge, and technology and are very popular among different peoples of the society, especially nursing students. They can also influence academic success. The present study was aimed to investigate the use of social networks among nursing students of Tabriz University of Medical Sciences. Materials and Methods: This study adopts a descriptive cross-sectional design and employed 406 nursing students in 2018 by means of the convenience sampling method. For data collection, a researcher-made questionnaire consisting of demographic characteristics and social network usage was used. Descriptive and inferential statistics were used to analyze the data. Results: The mean (SD) of social networking usage was 116.81 (17.20) out of the achievable score range of 38 to 190, where the highest and lowest scores were related to dimensions of content sharing (73.56%) and unconventional issues (51.00%), respectively. There was a significant statistical relationship between total score of social networking usage which included the variables of grade point average (r = -0.17, p = 0.000), average daily study hours in non-exam periods (r = -0.10 and p < 0.04), family income (F2,375 = 6.28, p < 0.001), number of siblings (F4,350 = 4.98, p < 0.001), and academic semester (F6,376 = 2.12, p < 0.05). Conclusions: Given the high percentage of students enrolled and the aim of using these networks, proper planning for the management of cyberspace is necessary to take advantage of the benefits of social networks and reduce their disadvantages. [ABSTRACT FROM AUTHOR]

Published
2021
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31. Professional Identity Development in Nursing Students: Eisner’s Evaluation Model

Author

Hosseini Shahidi, Laleh, Vahidi, Maryam, Mahram, Behrooz, Namdar Areshtanab, Hossein, and Zarghi, Nazila

Subjects
lcsh:LC8-6691, Nursing Student, lcsh:Special aspects of education, education, Curriculum, 610 Medical sciences, Medicine, lcsh:L, Professional Identity, lcsh:Education
Abstract

Introduction: Professional identity development is one of the main concerns of nursing education. This study aimed to evaluate effective educational components on nursing students’ professional identity using Eisner’s model of criticism and connoisseurship. Methods: Eisner’s Criticism and Connoisseurship Model were used for a qualitative evaluation of the nursing education system. This model includes four steps of descriptive, interpretative, evaluative and thematic evaluation. Data were collected by semi-structured interview and observation. Participants were 15 students and faculty members of Mashhad University of Medical Sciences, Iran, who were selected by purposive sampling. Data were analyzed by Eisner’s model. Results: Four major themes included student admission, educational system defects, reality shock, and self-esteem. These themes that emerged from educational evaluation are effective in developing the professional identity of Iranian nursing students. Conclusion: It seems that changing the admission process, presenting the nursing discipline to students as much as possible, creating a more realistic education, making an exclusive body of knowledge, and following successful role models are helpful in students’ professional identity development., Research and Development in Medical Education; EISSN 2322-2719

Published
2014

36. Relationship between nurses' moral sensitivity and the quality of care.

Author

Amiri, Elham, Ebrahimi, Hossein, Vahidi, Maryam, Asghari Jafarabadi, Mohamad, and Namdar Areshtanab, Hossein

Subjects
ACADEMIC medical centers, CONFIDENCE intervals, STATISTICAL correlation, ETHICS, RESEARCH methodology, MEDICAL quality control, NURSES, NURSES' attitudes, NURSING, NURSING ethics, PATIENTS, QUESTIONNAIRES, RESEARCH funding, STATISTICAL sampling, SCALE analysis (Psychology), DATA analysis software, DESCRIPTIVE statistics
Abstract

Background: To provide care with high quality, nurses face a number of moral issues requiring them to have moral abilities in professional performance. Moral sensitivity is the first step in moral performance. However, its relation to the quality of care patients receive is controversial. Research objective: This study aims to determine the relationship between the moral sensitivity of nurses and the quality of care received by patients in the medical wards. Research design: A descriptive correlational study using validated tools, including Moral Sensitivity Questionnaire and the Quality Patient Quality Scale. Participants and research context: In total, 198 nurses and 198 patients in 17 medical wards of hospitals affiliated with Tabriz University of Medical Sciences, Iran. Ethical considerations: The study was reviewed and approved by the Ethics Committee of Tabriz University of Medical Sciences. Findings: The mean values of nurses' moral sensitivity and nurses' quality care were 136.47 ± 13.30 and 196.36 ± 44.10, respectively. There was no significant relationship between the patient care quality and nurses' moral sensitivity (r = −.14, p =.5). However, there was a significant inverse relationship between the dimension of "Experiencing moral conflicts" and the overall score of quality care (r = −.50, p =.04), the dimensions of "psychosocial (r = −.50, p =.04)" and "physical (r = −.50, p =.03)." Conclusion: Considering the significant inverse relationship between the score of patient quality care and the dimension of moral conflict experience, it seems when nurses make moral decisions, they experience a conflict between personal and professional values in their careers and thus experience moral tension. If this tension is not resolved properly, it can provide a way for them to distance themselves from patients, thereby making nurses indifferent to moral care. [ABSTRACT FROM AUTHOR]

Published
2019
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41. Nursing core competencies for postresuscitation care in Iran: a qualitative study.

Author

Zali M, Rahmani A, Powers K, Hassankhani H, Namdar-Areshtanab H, and Gilani N

Subjects
Humans, Iran, Qualitative Research, Optimism, Data Collection, Patients, Nursing Care
Abstract

Objective: This study explored nurses' perceptions of the core competencies required for providing postresuscitation care in both in-hospital and out-of-hospital cardiac arrest., Design: Qualitative conventional content analysis., Participants: 17 nurses selected with purposeful sampling method., Setting: Three educational hospitals in northwest of Iran., Data Collection and Analysis: Semi-structured interviews were used for data collection and they were analysed using conventional content analysis., Results: Seven main categories have emerged from the data. The core competencies for nurses providing postresuscitation were identified as: quality assurance, providing evidence-based care, monitoring and presence, situation management, professionalism, positive attitude and providing family centred care., Conclusions: The postresuscitation period is a unique and critical time requiring highly competent nursing care. Several core competencies for providing high-quality nursing care during postresuscitation period were identified through nurses' experience in caring for patients postresuscitation., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Published
2024
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42. The Effect of Foot Reflexology on Amnesia in Patients Undergoing Electroconvulsive Therapy: A Randomized Clinical Trial.

Author

Alinejad Machiani S, Namdar Areshtanab H, Ebrahimi H, Sarbakhsh P, Noorazar SG, and Goljarian S

Abstract

Introduction: Electroconvulsive therapy (ECT) is the oldest procedure among the early biological treatments introduced in psychiatry. However, the most debated and treatment-limiting adverse effect of ECT is amnesia. Therefore, due to the restriction of the use of drugs to manage amnesia in patients undergoing ECT, the present study investigated the effect of reflexology on amnesia. Methods: In this randomized controlled trial, 68 patients who met the inclusion criteria were randomly allocated to intervention and control groups. The intervention group received foot reflexology with olive oil 20 minutes a day for 3 days, while the control group was given a gentle foot rub with olive oil 20 minutes a day for 3 days. The amnesia rate of all patients was measured by the Galveston Orientation and Amnesia Test (GOAT) 30 minutes after the end of ECT. The data were analyzed using SPSS software version 11.5 and t-test, chi-squared test, and repeated measures ANOVA. Results: The results showed that reflexology significantly increased recalling scores in the intervention group compared to the control group. Foot reflexology seems to be effective in managing amnesia in patients after ECT. Conclusion: Foot reflexology, as a relatively simple, inexpensive, and non-invasive technique with few side effects, can be used to manage amnesia in patients after ECT., (© 2021 The Author(s).)

Published
2021
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43. Happiness and its Relationship with Job Burnout in Nurses of Educational Hospitals in Tabriz, Iran.

Author

Javadi Sharif T, Hosseinzadeh M, Mahdavi N, Namdar Areshtanab H, and L Dickens G

Abstract

Background: Happiness is a positive feeling that is vital and significant to maintain health. Nurses are working in difficult conditions which may heavily affect their level of happiness and ability to provide care. Job burnout is a mental reaction against some persistent source of workplace stress. The purpose of this study was to identify happiness and its relationship with job burnout in nurses working at Tabriz's educational hospitals., Methods: This descriptive-correlational study was conducted on 344 nurses working at Tabriz's hospitals in 2018. The subjects were selected by means of proportionate stratified random sampling. Data were collected using three questionnaires (demographic information, job burnout with 22 items and three subscales and Oxford happiness with 29 items) and analyzed in SPSS version16 using descriptive statistics. Statistical tests such as Pearson correlation coefficient, independent t-test, one-way ANOVA, and multiple linear regression analysis were used to analyze the data., Results: The age range of the participants was 23-57 years with a mean of 35.9±7.5. The mean score of happiness was 64.2±11.5, (score range 35 to 116), which suggests an average level of happiness among the nurses. There was a negative correlation between happiness and total job burnout (r=-0.29, P<0.001). This negative correlation remained significant (B=-0.15, P<0.001) even when nurses' perception of own health status (B=-5.24, P=0.01), history of illness (B=-4.47, P=0.04), job position (B=-6.61, P=0.001), and type of employment (B=3.56, P=0.03) as potential confounding factors were adjusted., Conclusion: Considering the reverse relationship between job burnout and happiness, it is suggested that managers try to improve the workplace by managing condition which could lead to job burnout, and therefore use the results to increase the happiness of nurses., (Copyright: © International Journal of Community Based Nursing and Midwifery.)

Published
2020
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44. The Relationship between Nurses' Moral Sensitivity and Patients' Satisfaction with the Care Received in the Medical Wards.

Author

Amiri E, Ebrahimi H, Namdar Areshtanab H, Vahidi M, and Asghari Jafarabadi M

Abstract

Introduction: The quality of care affects patients' satisfaction. To provide high quality care, nurses face ethical challenges in daily practice. Moral sensitivity is the first phase in moral implementation. This study aimed to determine the relationship between nurses' moral sensitivity and patients' satisfaction in medical wards. Methods: In descriptive correlational study 198 nurses and 198 patients in 17 medical wards filled out the Moral Sensitivity Questionnaire (MSQ) and Patient Satisfaction with Nursing Care Quality Questionnaire (PSNCQQ), respectively. Nurses were sampled by the census method. For each nurse, a patient was selected randomly from the same ward. Data were analyzed using SPSS version 13. Results: The highest scores were in the dimensions of "relational orientation" and "following the rules", and the lowest scores were in the dimensions of "autonomy" and "experiencing moral conflicts". The highest level of patients' satisfaction was with "nurses' professional performance" 3.98 (1.09), and the lowest level was with "nurses' routine work" 2.69 (1.22). There was no significant relationship between the mean of patient satisfaction and moral sensitivity of nurses. Conclusion: Considering that nurses had a higher score in dimension of "following the rules" and a lower score in dimension of "autonomy", it seems ethical performance in the real situation is not merely due to the nurses' moral sensitivity and it seems the complexity of the organization causes nurses face difficulties in making decisions related to clinical practice; therefore, policy makers in the health system should be able to identify barriers., (© 2020 The Author(s).)

Published
2020
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