Purpose: In South Korea, hospitalized patients' experiences significantly impact satisfaction and treatment outcomes. This study developed and evaluated the Inpatients Experience Measurement Scale (IEMS) for its psychometric properties.
Patients and methods: Participants from three hospitals were recruited using convenience sampling. Scale item generation involved patient interviews and a Delphi survey with experts. Psychometric testing used Exploratory Factor Analysis (EFA) with 150 participants and Confirmatory Factor Analysis (CFA) with 151 participants.
Results: A total of 301 patients participated, resulting in a 20-item scale across four factors: "Care Quality and Information Provision", "Patient Safety and Dietary Services", "Facility and Comfort Infrastructure", and "Comprehensive Patient Support Services". Rated on a 5-point Likert scale, the scale showed a high Content Validity Index (CVI) over 0.80. EFA explained 61.43% of the variance. The four-factor model was validated using CFA with favorable fit indices. The IEMS demonstrated strong convergent validity, supported by high composite reliability (CR) and average variance extracted (AVE) values. Significant correlations with the Patient Satisfaction Scale reinforced its convergent validity. Discriminant validity was confirmed, and all reliability measures exceeded the minimum threshold of 0.80.
Conclusion: The IEMS effectively captures inpatients' experiences, demonstrating robust reliability and validity. This scale is a valuable tool for assessing patient experiences, facilitating enhancements in patient care and satisfaction within hospital settings.
Aim: The aim of this study is to describe the readiness of hospital discharge of patients with coronary heart disease (CHD) who have undergone coronary stent implantation and explore its influencing factors.
Methods: This is a cross sectional single center study. Convenient sampling was used to select patients who underwent coronary stent implantation in the Cardiovascular Department of a tertiary hospital in Chengdu from October 2021 to April 2022 as the research subjects. Data were collected using the General Information Questionnaire, which included domains such as uncertainty in illness, the quality of discharge teaching, perceived social support, and health locus of control. The Readiness for Hospital Discharge Scale (RHDS) was used to assess readiness for hospital discharge. Multiple regression adjusted for relevant confounders was used to determine the associations.
Results: A total of 276 questionnaires were distributed, and 263 valid questionnaires were collected. The average item score of RHDS is 7.66 ± 1.13. Multiple regression analysis indicated that the influential factors of RHDS of patients who underwent coronary stent implantation included: deliver skill (β = 0.43), marital status (β = 0.12), living alone (β = -0.14), inconsistency (β = -0.22) and household income per capita (β = -0.12) (all P<0.05). The RHDS score of patients with CHD after coronary stent implantation were at a moderate level.
Conclusion: Discharge readiness was significantly associated with delivery skill, marital status, living alone, inconsistency of information, and household income per capita. The present study highlights the need for improved educational interventions and tailored discharge planning.
Purpose: A national additional risk minimization measures (aRMMs) program was implemented to train pharmacists for safe supply of non-prescription Viagra Connect® (VC) to erectile dysfunction (ED) patients in United Kingdom (UK). A survey aimed to evaluate the effectiveness of aRMMs.
Methods: A cross-sectional, web-based survey enrolled ED patients who purchased at least 1 supply of VC in UK, using a structured self-administered questionnaire. Patients were assessed for the suitability of VC and received appropriate advice from pharmacists. Descriptive statistics were used.
Results: The final sample had 297 patients, who reported that pharmacists inquired about blood pressure and heart comorbidities (91.9%), relevant illnesses (87.9%), medications (86.5%), ED diagnosis (82.2%), and were advised to consult their doctor regarding ED (51.2%). Furthermore, 85.5% of patients were advised on how to take VC correctly, 82.2% on possible side effects for which they might have to discontinue taking VC and consult their doctor, 80.1% on being informed that ED could be caused by underlying conditions. About 65.0% reported that they had visited (19.2%) or planned to visit (45.8%) their doctor. A majority (68.7%) also indicated that they had received advice on lifestyle modifications to manage their ED-related health risks.
Conclusion: This survey provided a reasonable confirmation of the effectiveness of the VC aRMMs program and assurance that ED patients, when requesting and purchasing VC in UK pharmacies, are assessed appropriately for suitability of VC and receive the appropriate advice from pharmacists.
[This corrects the article DOI: 10.2147/PPA.S437969.].
Purpose: To compare three methods for identifying patient preferences (MIPPs) at the point of decision-making: analysis of video-recorded patient-clinician encounters, post-encounter interviews, and post-encounter surveys.
Patients and methods: For the decision of whether to use a spinal cord stimulator device (SCS), a video coding scheme, interview guide, and patient survey were iteratively developed with 30 SCS decision-making encounters in a tertiary academic medical center pain clinic. Burke's grammar of motives was used to classify the attributed source or justification for a potential preference for each preference block. To compare the MIPPs, 13 patients' encounters with their clinician were video recorded and subsequently analyzed by 4 coders using the final video coding scheme. Six of these patients were interviewed, and 7 surveyed, immediately following their encounters.
Results: For videos, an average of 66 (range 33-106) sets of utterances potentially indicating a patient preference (a preference block), surveys 33 (range 32-34), and interviews 25 (range 18-30) were identified. Thirty-eight unique themes (75 subthemes), each a preference topic, were identified from videos, surveys 19 themes (12 subthemes), and interviews 39 themes (54 subthemes). The proportion of preference blocks that were judged as expressing a preference that was clearly important to the patient or affected their decision was highest for interviews (72.8%), surveys (68.0%), and videos (27.0%). Videos mostly attributed preferences to the patient's situation (scene) (65%); interviews, the act of receiving or living with SCS (43%); surveys, the purpose of SCS (40%).
Conclusion: MIPPs vary in the type of preferences identified and the clarity of expressed preferences in their data sets. The choice of which MIPP to use depends on projects' goals and resources, recognizing that the choice of MIPP may affect which preferences are found.