Database of patient reviews expressing dissatisfaction with the quality of medical services in Russia in 2012-2023

Data format and access The database consists of full-text patient reviews, reflecting their dissatisfaction with healthcare quality. Materials in Russian have been posted in the «Review list» of the site infodoctor.ru. Publication period: July 2012 to August 2023. The database consists of 18,492 reviews covering 16 Russian cities with population of over one million. Data format: .xlsx. Data access: 10.5281/zenodo.15257447 Data collection methodology Based on the fact that negative reviews may be more reliable than positive ones, the authors carried out negative reviews from 16 Russian cities with a population of over one million, for which it was possible to collect representative samples (at least 1000 reviews for each city). We have extracted reviews from the one-star section of this site's guestbook, as they are reliably identified as negative. Duplicates were removed from the database. Personal data in comment texts have been replaced with "##########". The author's gender was determined manually based on his/her name or gender endings in the texts of reviews. Otherwise, we indicated "0" - gender cannot be determined. For Moscow reviews, classification was carried out using manual markup methods - based on the majority of votes for the review class from 3 annotators (if at least one annotator indicated that it was impossible to determine, the review was classified as #N/A - impossible to clearly determine). For reviews from other cities, classification was made into 3 classes using machine learning methods based on logistic regression. The classification accuracy was 88%. The medical specialties were distributed into large groups for the convenience of further analysis. The correspondence of medical specialties to large groups is presented in detail in Appendix 1. Sample structure and description of variables · CITY – the name of a city with a population of over a million (on a separate sheet – Moscow), the other 15 are Volgograd, Voronezh, Yekaterinburg, Kazan, Krasnodar, Krasnoyarsk, Nizhny Novgorod, Novosibirsk, Omsk, Perm, Rostov-on-Don, Samara, St. Petersburg, Ufa, Chelyabinsk · TEXT – review text · GENDER – gender of the review author (2 – female, 1 – male, 0 – cannot be determined) · CLASS_1 – group of reasons for dissatisfaction with medical care (M – issues of medical content, O – issues of organizational support and economic aspect, C – mixed (combined) class, #N/A – cannot be clearly determined)[1] · CLASS_2 – group of reasons for dissatisfaction with medical care (0 – issues of medical content, 1 – issues of organizational support and economic aspect, 2 – mixed (combined) class, #N/A – cannot be clearly determined) · DAY – day of the month the review was posted · MONTH – month the review was posted · YEAR – year the review was posted · DOCTOR_OR_CLINIC – what or who is the review dedicated to – the doctor or the clinic · SPEC – physician specialty (for observations where the review is dedicated to the physician) · GROUP_SPEC – a large group of a physician’s specialty · ID – observation identifier Database application The data are suitable for analyzing patient dissatisfaction trends with medical services in Russia over the period from July 2012 to August 2023. This dataset could be particularly useful for healthcare providers, policymakers, and researchers interested in understanding patient experiences and identifying areas for quality improvement in Russian healthcare. Some potential applications include: Analyzing geographic patterns of patient complaints across different cities in Russia Examining trends in patient dissatisfaction over time Identifying common reasons for dissatisfaction with medical care Comparing dissatisfaction levels between different medical specialties Assessing gender differences in patient complaints The database provides rich qualitative data through full-text review texts, allowing for in-depth analysis of patient experiences. The structured variables like city, date, doctor/clinic information, etc. enable quantitative analysis as well. This combination of qualitative and quantitative data makes it possible to gain a comprehensive understanding of patient dissatisfaction patterns in Russia's healthcare system over more than a decade. For researchers specifically interested in healthcare quality issues, this dataset could serve as an important resource for studying patient experiences and outcomes in Russia's medical system. The longitudinal nature of the data (2012-2023) also allows for analysis of changes over time in patient satisfaction. Overall, this database provides valuable insights into patient perceptions of healthcare quality that could inform policy decisions, quality improvement [1] We divided the variable-indicator of the group of reasons for dissatisfaction with medical care into 2 options - with letter (CLASS_1) and numeric codes (CLASS_2) (for the convenience of possible use of data in the work)