This dataset contains raw data from individual stages of a multi-phase research project focused on sleep quality, sleep disturbances, and related factors in hospitalized patients in standard wards and intensive care units (ICUs). The dataset is organized into four main parts corresponding to the individual stages of the research. Qualitative data consist of interview transcripts conducted for a qualitative study, including: (Transcripts from 8 patients , Transcripts from 21 nurses). Only verbatim transcriptions are included, without additional coding or interpretation The first part of the dataset include Quantitative data include data from 432 patients.The objectives were: To assess sleep quality during the first night of hospitalization in a standard ward. To evaluate whether the FIRST questionnaire is a suitable tool for detecting sleep disturbances.The dataset contains the following variables: Demographic data, Richards-Campbell Sleep Questionnaire (RCSQ), Ford Insomnia Response to Stress Test (FIRST) The second part of the dataset focuses on factors that disrupt sleep during hospitalization and includes data from two clinical settings: Standard ward: (397 patients) Sleep-disrupting factors assessed using the Questionnaire on Factors Influencing Sleep During Hospitalization. Intensive Care Unit (ICU): (264 patients) Data collected using: Sleep in the Intensive Care Unit Questionnaire (SICQ) and Beck Anxiety Inventory (BAI) In the ICU population, anxiety levels were also specifically assessed in relation to sleep quality. The third part of the dataset examines the relationship between sleep quality and delirium, including both subjective and objective measurements. Standard ward: (612 patients) Sleep assessed using RCSQ, Delirium assessed using the Confusion Assessment Method (CAM), Intensive Care Unit (ICU) (337 patients) Sleep assessed using RCSQ Delirium assessed using CAM-ICU Subjective assessments only and also were measured by actigraphy data Objective sleep measurements obtained using actigraphy 152 actigraphy records from standard wards / 73 actigraphy records from ICUs. All actigraphy data are anonymized and coded (ACT records). The fourth part of the dataset evaluates sleep using both subjective and objective methods and assesses the effect of sleep-related interventions. The dataset is divided into PRE-intervention and POST-intervention phases for both types of wards: Standard ward: Total: 364 patients (PRE: 160 patients / POST: 204 patients) and Intensive Care Unit (ICU): Total: 393 patients (PRE: 180 patients / POST: 213 patients) In addition to questionnaire-based assessments, a total of 71 actigraphy recordings were collected to provide objective sleep measurements. The assessment instruments included the Confusion Assessment Method (CAM), the Confusion Assessment Method for the ICU (CAM-ICU), the Richards-Campbell Sleep Questionnaire (RCSQ), and a newly developed six-item sleep screening set. Data from FNO (responsible Dr. Slonková): The dataset comprises data collected within a monocentric prospective observational study with a quasi-interventional component conducted at two non-surgical hospital clinics, including standard wards and intensive care units (ICUs). A total of 330 consecutive patients were included in the study (250 general ward / 80 ICU) . The data include patient- and nurse-reported variables related to sleep quality, sleep disturbances, pain, delirium, and sleep management strategies. Patients were categorized into three groups based on prior insomnia treatment and management approach (regular pharmacological treatment, PRN medication, or non-pharmacological measures only). The dataset contains demographic variables, medical history, ward type, diagnosis, length of hospitalization, subjective sleep quality and quantity assessments, daily nurse observations (up to seven nights), pain intensity measured using the Visual Analogue Scale (VAS), and delirium screening results assessed using the Confusion Assessment Method (CAM) and CAM-ICU. Questionnaire responses include numeric and categorical variables (yes/no/unknown), with overall sleep quality rated on a 5-point Likert scale. The dataset also includes information on pharmacological and non-pharmacological sleep interventions applied during hospitalization.