The relationship between patient engagement and health-related quality of life in patients: a cross-sectional study in general outpatient clinic in Hong Kong SAR, China

Qualitative Comparison of Perceptions Regarding Patient Engagement for Patient Safety by Physicians, Nurses, and Patients

Purpose

Patient engagement in ensuring patient safety is widely acknowledged, there is still a need to explore how perceptions of patient engagement vary among different stakeholders within the healthcare system. We aimed to compare the perceptions regarding patient engagement for patient safety among physicians, nurses, and patients by exploring the perspectives.

Patients and Methods

A qualitative study, comprising three focus group discussions (six to eight people each), was conducted in South Korea. Physicians and nurses who worked at the general hospital level or higher, and patients who had been hospitalized for more than 24 hours, were included. Researchers analyzed the transcripts, and a content analysis was performed to describe influencing elements of patient engagement for patient safety. A word cloud was created through keyword analysis of the transcripts.

Results

Based on 479 coded data, three categories and eight sub-categories were derived. The first moment of patient engagement was viewed as the choice of medical institutions. Reputation occupied a large part in the hospital selection for all participants, but they did not know about or use the national hospital evaluation data. Participants said that continuous patient engagement, such as the patient's active questioning attitude, guardian's cooperation, sufficient medical personnel, and patient safety education was required during treatment. However, it was said that patient engagement was ignored after patient safety incidents occurred. They mentioned that they were emotional and busy arguing for their own positions, and that it was difficult to use a medical dispute resolution method in practice. In the word cloud by group, fall, explanation, hospital, and patient were common words.

Conclusion

All three groups agreed on the importance of patient engagement for patient safety but differed in its influencing factors. Efforts should be made to reduce the difference between the three groups on how to involve patients for patient safety.

Health-related quality of life in primary care patients: a comparison between EQ-5D-5L utility score and EQ-visual analogue scale

OBJECTIVE

The EQ-VAS is an important component of the EQ-5D questionnaire. However, there is limited evidence comparing its performance to the EQ-5D utility score, which restricts its use in the population. This study aimed to EQ-5D-5L utility score and EQ-visual analogue scale (EQ-VAS) in primary care patients in Hong Kong (HK).

METHODS

Secondary data analysis was performed on the data collected from a cross-sectional survey to investigate patient engagement in HK. Participants were recruited through random sampling from a single general outpatient clinic. Trained investigators conducted face-to-face interviews with all eligible patients attending the clinic. Patients who were: 1) ≥ 18 years old, 2) have visited the clinic at least once in the last 6 months, 3) no cognitive problems, and 4) can speak and understand the local language. Pearson correlation was used to explore the association between EQ-5D utility and EQ-VAS score. Ordinary least squares regression and heteroscedastic Tobit regression models were adopted to analyze the EQ-VAS and EQ-5D utility data, respectively.

RESULTS

The analysis included data from 1,004 responses (response rate = 65%). Around 52.7% of participants were female, 25.9% completed tertiary or above education, and 75.1% living with chronic disease. The mean EQ-5D utility and EQ-VAS score were 0.92 (SD = 0.13) and 72.27 (SD = 14.69), respectively. A significant association was found between EQ-5D utility and EQ-VAS score, with coefficients ranging from 0.335 (participants who divorced) to 0.744 (participants living alone). Around 98.5% reported having no problems with 'Self-care', followed by 'Usual activities' (96.3%), 'Mobility' (91.5%) and 'Anxiety/depression' (79.9%). The correlation between EQ-VAS score and EQ-5D utility was positive for each dimension of the EQ-5D instrument (correlation coefficients ranged between 0.211 and 0.623). Age strongly influenced the magnitude and trajectory of EQ-VAS score and utility, as observed in the changes. The regression model showed that 'Mobility', 'Pain/discomfort', and 'Anxiety/depression' have considerable influence on EQ-VAS score.

CONCLUSIONS

This study compared the EQ-5D utility score and EQ-VAS in HK primary care setting. Although heterogeneity existed, the EQ-VAS and utility score are significantly correlated and reliable for evaluating health-related quality of life in this population.

Scale development to measure the patient perception of patient-centered care of dentists in primary care settings of Thailand: a measurement invariance test

BACKGROUND

Patient-centered care is essential for providing quality services thoroughly at the primary care level, but it is unclear and lacks measurement. This study aimed to develop a reliable and valid instrument to measure patient perception of patient-centered care in primary dental care in Thailand and test the measurement invariance between large and small community hospitals.

METHODS

The initial set of 45 items for the patient perception of Patient-Centered Care of Dentist Scale (PCCDS-P version) was developed using a mixed-method approach, which included a literature review, a content validity test, cognitive interviews, and a pre-test. A multistage sampling strategy was used to recruit dental patients or their parents or caregivers from community hospitals across Thailand. Validity was examined through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Reliability was assessed using Cronbach's alpha coefficient and the intraclass correlation coefficient. Furthermore, a multi-group analysis was conducted to compare the responses of patients from large and small community hospitals.

RESULTS

Three hundred thirty-six and One thousand one hundred sixty-seven samples were randomized for EFA and CFA, respectively. The final PCCDS-P version consists of 7 factors with satisfactory reliability and validity and is composed of 42 items: dentist-patient relationship, disease-illness, integrated care, communication, shared information and decision-making, holistic, and empathy and anxiety management. The CFA showed the model fit was consistent with the entire sample. The metric invariance analysis showed that the factor loadings were invariant across patient groups. Overall, Cronbach's alpha coefficient and intraclass correlation coefficient were satisfactory.

CONCLUSIONS

The newly developed PCCDS-P version is composed of seven domains with 42 items with good reliability and validity, and it indicated measurement invariance across patients in large and small community hospitals.

Satisfaction With Patient Engagement and Self-Reported Depression Among Hospitalized Patients: A Propensity-Score Matching Analysis

BACKGROUND

Depression is common among hospitalized patients and poses a significant threat to their quality of life. Patient engagement (PE) in healthcare has been shown to be associated with positive health outcomes. However, the relationship between PE and depression among hospitalized patients, with and without chronic conditions, has not yet been explored. This study aimed to investigate the association between patients' satisfaction with PE and self-reported depression in Chinese public hospitals.

METHOD

A multi-centered, cross-sectional survey was conducted in seven tertiary-level public hospitals in Guangdong province, China. Twelve items from a patient-centered care questionnaire and the Patient Health Questionnaire 2-item version were used were used to assess patients' satisfaction with PE and self-reported depression, respectively. Propensity score matching (PSM) approach was used to reduce selection bias and potential baseline differences between patients with and without chronic conditions. The relationship between satisfaction with PE and depression was assessed, using univariate and multivariate logistic regression analyses, respectively.

RESULTS

A total of 1,974 hospitalized patients participated in the survey. After the PSM procedure, 604 patients were assigned to the chronic condition group, and another 604 patients were successfully matched in the comparison group with no differences in sex, age, educational level, and PE-related characteristics. Univariate logistic regression analysis indicated that high satisfaction with PE-related approaches significantly decreased the probability of developing depressive status. Multivariate logistic regression analysis further indicated that, after adjusting all PE-related approaches, "patient education" and "involvement in discharge planning" could significantly decrease the probability of patients developing depression.

CONCLUSIONS

Our results indicate that encouraging PE and improving patients' satisfaction with PE interventions in clinical practice led to improved mental health outcomes among hospitalized patients in China.

Impact of Patient Engagement on Healthcare Quality: A Scoping Review

Patient engagement (PE) is a well-known strategy introduced and implemented by pharmaceutical and medical device companies for patient compliance and adherence to treatment protocols during clinical trials and care processes. This can affect a wider range of outcomes such as the quality of treatment decisions and quality of care outcomes. Few studies have paid attention to it. The involvement of patient is one of the crucial stakeholders of health care in their treatment that makes controversial opinions about the potential outcomes of their engagement in various aspects of healthcare. This scoping review was conducted in 2022 to collect the results of PE. The search was performed in the MEDLINE and Web of Sciences databases. The selected documents were categorized and reported by the direct content analysis method. Out of 3974 published documents, 17 articles were selected. Findings are categorized into 4 groups: (1) Health outcome, (2) patient compliance, (3) self-efficiency, and (4) return on investment. PE can improve both treatment outcomes and consequently patient satisfaction and health, as well as the productivity of the service provider. However, increasing self-care and patient adherence are among the positive effects of this engagement on the patient, and return on investment is still a challenge for PE.