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27 June 2025

14 Pages

Analysis of Different Perspectives of Community-Based Long-Term Day-Care Centers

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Department of Golden-Ager Industry Management, Chaoyang University of Technology, Taichung 413, Taiwan
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Abstract

This study involved the secondary data analysis of empirical results obtained from the 2023–2024 on-site evaluation of 26 community-based long-term day-care centers (referred to as day-care centers) in Taiwan to determine the status of performance. Although the on-site evaluation results used in this study were all qualified (an evaluation score ≥70 points), a score range of 73.625–96.625 points were widely observed. The evaluation was carried out from the following perspectives: management effectiveness, professional care quality, safe environment, and the protection of individual rights. The results showed that management effectiveness was positively correlated with professional care quality, safe environment, and the protection of individual rights (r = 0.498~0.596); professional care quality was moderately correlated with safe environment and the protection of individual rights (r = 0.482~0.495); and safe environment and the protection of individual rights had the lowest correlation (r = 0.296). A paired-samples t-test showed that the average difference between each pair (institutional self-evaluation and evaluation committee score) in the consensus benchmark was significant. These findings suggest that the overall service quality and management efficiency of day-care centers can be improved by strengthening internal self-assessment training, improving consensus benchmark definitions, and upgrading management processes so that the evaluation results reflect the actual implementation status.

1. Introduction

According to the United Nations (UN) World Population Prospects (WPP) 2022, the global population of individuals aged over 65 is projected to reach 1.6 billion by the mid-21st century, and the population ratio will grow from 10% in 2022 to 16% by 2050. According to National Development Council (NDC) estimates, the elderly population accounts for 20.8% of the total population in 2025, and Taiwan is entering a super-aged society, defined as “the first year of super-aged era (it meant the population aged over 65 accounts for 21% of the total population)” [1]. As the population structure continues to move towards super-aged, the number of older people with dementia or disabilities continues to increase; in Taiwan, the population of people with disabilities is expected to increase by approximately 18% to 20% every five years. To address this challenge, the Ministry of Health and Welfare (MOHW) (2023) launched the “10-year long-term care plan 2.0 (2016–2025)” (referred to as LTC 2.0) in 2016 and will continue with the “10-year long-term care plan 3.0 (2026–2035)” (referred to as LTC 3.0) in 2026 [2]. Dai (2025) asserts that the impact of LTC 3.0 on day-care centers mainly manifests in three ways: (1) the diversified transformation of service models, (2) resource integration and community connection, and (3) flexible services and individualized care [3].
The LTC 2.0 policy actively promoted a diversified LTC service system, especially community-based day-care centers, to help alleviate the pressure of family care in Taiwan. Day-care centers provide a place for daily activities and professional care for people with disabilities and dementia. This is an example of a highly acceptable LTC service model in which older people receive proper care during the day, reducing the pressure on family caregivers, and then return to a familiar environment (mainly home) at night. The LTC industry tends to lack manpower, but the group care approach used in day-care centers requires fewer staff members (one caregiver is responsible for 6–10 elderly people). According to the statistics of the Department of LTC of the MOHW, the number of day-care centers increased from around 400 in 2019 to 730 by the end of 2024, with day-care centers being located in 89.5% of the secondary school districts in Taiwan (MOHW, 2024a) [4].
In 2018, the government in Taiwan fully promoted LTC 2.0 and developed community LTC services at three levels: A, B, and C. The extensive distribution of LTC services under the LTC 2.0 policy helps to alleviate social isolation, promote social participation, enhance the sense of choice and control, and prevent and delay disability. The levels are defined as follows. Level A: Community Integrated Service Center. When individuals or their families are in need of LTC services and make requests, the care management specialists complete an assessment and then assign a case manager from Level A to draft a care plan. This plan is supported by a multidisciplinary professional care team that provides customized and personalized support services. Level B: Complex Service Centers. These include home-based, community-based (divided into day-care, small-scale multifunctional care, group homes, and family care), and comprehensive care. Level C: Community LTC Station. This is the LTC provision most deeply integrated into various corners of the community, serving primarily healthy or sub-healthy elderly individuals or those in the early stages of dementia or disability. It provides opportunities for communal dining, social activities, and social participation alongside other clients, and health-promotion activities to prevent and delay the onset of disability. In 2024, there were 4033 LTC service units in Taiwan, with the most common being home-based services (2235 units, 55.42%) and the least common being institutional accommodation (122 units, 3.03%). Community services, which include day-care, family care, group homes, and small-scale multifunctional care, total 1478 units (36.65%), with day-care facilities accounting for the highest number (951 providers, 64.34%) and group homes the lowest (34 providers, 2.3%) (Figure 1). Although the types and services of Level B LTC centers are different, they still have some common elements, such as serving people with disabilities and dementia [5]. The service content incorporates social participation, physical activity, and goal-oriented support, such as advice and guidance, life or dementia care, and frailty reduction, to enhance or maintain health in place.
Figure 1. LTC service system in Taiwan (2024).
According to Article 39 of the Law on LTC Services, the main unit responsible for the public sector shall provide guidance to LTC institutions alongside supervision, assessment, inspection, and evaluation. In addition, according to Article 3 of the Measures for the Evaluation of LTC Service Institutions, the sponsoring authority is responsible for the evaluation of community-based LTC institutions and home-based LTC institutions in the county (or city) [5].
As a key link within the LTC system, day-care centers are of great significance in the care of older people with LTC needs, reducing family burden. However, with the increase in the number and coverage rate of day-care centers, improving the operation management efficiency and service quality of these centers has become a challenge. The main purpose of this study is to explore the self-evaluation and committee evaluation of day-care centers and to put forward practical suggestions for improving their quality of service.

3. Research Methodology

3.1. Research Design

The evaluation standards of community-based day-care centers are the reference version published by the central government. The mayoral care centers of each county adjust the status of LTC centers and the provision of LTC services within their jurisdiction and announce this information at the end of the year, before the on-site evaluation. The evaluation benchmarks include 10 items for management effectiveness (code: A), 12 items for professional care quality (code: B), 13 items for safe environment (code: C), and 5 items for the protection of individual rights (code: D). Each concept has its own benchmark and description. The maximum score is 100 points, and there are 40 consensus benchmarks for day-care centers, each of which is worth 2.5 points. Each consensus benchmark score is further classified into five levels: A+ (2.5), A (2.125), B+ (1.75), B (0.875), and C (0). The passing score for LTC centers is 70, so the B+ (1.75) score is designed to be 70% of A+ (2.5). The sources of evaluation include the main managers of the day-care center (defined as the internal evaluation score) and the on-site evaluation committee (defined as the external evaluation score). The internal evaluation scores must be submitted to the relevant authority before the on-site evaluation and then passed on to the evaluation committee for review [27].

3.2. Data Collection and Measurement

This study utilizes a secondary data analysis of the empirical results from the 2023–2024 on-site evaluation of 26 community-based day-care centers in one county. Due to the increasing demand for LTC services and the promotion of the policy “One junior high school district, One Day-care center”, the achievement rate for day-care centers in 2025 is expected to reach 90.0%. This study is mainly based on secondary data obtained from the on-site evaluation of an LTC service-quality improvement project involving day-care centers in a target county. To date, 32 school districts in the target county have met the “One junior high school, One Day-care center” policy requirements (an achievement rate of 94.11%). Therefore, this study focuses on 26 day-care centers in the target county (26 school districts, covering 81.25% of the total) as the research subjects. According to the LTC Services Act and the Evaluation Methods for LTC Service Institutions, day-care centers are required to be evaluated every four years. If the center does not meet the standards, it may be re-evaluated the following year. A total of four evaluators are responsible for each on-site evaluation: one from administrative management, two from LTC and nursing, and one from the environmental safety category. Regarding expert validity, during the consensus meeting for all evaluation committees, detailed explanations are provided regarding the evaluation goals, structure, benchmark, and meanings through discussions.
In this study, on-site evaluations were conducted of 26 community-based day-care centers in a specific county from 1 August 2023 to 31 July 2024. A score of 70 or above was considered a pass, and all of the centers met this threshold (a pass rate of 100%).

3.3. Data Analysis

SPSS 18 (PASW Statistics Base) was used for descriptive statistical analysis, and Pearson correlation analysis and paired-sample t-tests were used as data analysis methods to examine the cognitive differences between the internal evaluations of day-care centers and the external scores from the evaluation committee. The average score for the 26 day-care centers is 85.574 (1.125), with scores ranging from 73.625 to 96.625 (the scores for the benchmark concepts are shown in Table 1). Due to the wide score range, standard error was used instead of standard deviation (S.D.). Table 2 shows the average values of the consensus benchmarks for community-based day-care centers in various concepts. There are 10 consensus benchmarks for management effectiveness, with each consensus benchmark scoring 2.5 points. The actual average score for the management effectiveness concept is 20.98 points (with a full score of 25 points), resulting in a compliance rate of 20.98/25 = 83.92%. Therefore, the evaluation results for the community-based day-care centers show that the compliance rate for the protection of individual rights is the highest, at 91.16%, followed by safe environment, at 87.13%, management effectiveness, at 83.92%, and, lastly, professional care quality, at 82.94%.
Table 2. The consensus benchmark scores for day-care LTC service centers.

4. Results

Pearson correlation analysis was used to explore the intrinsic correlation between the self-assessment of the centers and the assessment made by the evaluation committee across four concepts in order to understand the differences and consistencies between internal perceptions and external assessments in service quality evaluation. A further investigation was made of the importance of the evaluation system for day-care centers in terms of practical applications and suggestions for improvement.

4.1. Pearson Correlation Analysis Results for Evaluation Committee Scores Across the Four Main Concepts

Table 3 presents the correlation analysis of the four concepts of the evaluation committee. It can be observed that management effectiveness is moderately highly positively correlated with professional care quality, safe environment, and the protection of individual rights (r = 0.498 to 0.596). Professional care quality shows a moderate correlation with safe environment and the protection of individual rights (r = 0.482 to 0.495), while safe environment has no significant correlation with the protection of individual rights (r = 0.296).
Table 3. Pearson correlations among evaluators’ perspectives for the four concepts.

4.2. Paired-Sample t-Test: Differences in Consensus Benchmarks Between Centers and Evaluator Perspectives

From the paired-sample t-test, the test results of the consensus benchmark for the four concepts A, B, C, and D (Table 4) indicate that, for most consensus benchmarks, the scores from the self-assessments made by the center (internal score) are significantly higher than those provided by the evaluation committee (external score) (except for eight benchmarks—B7, B10, B11, C1, C7, C8, D1, and D3—which showed no significant differences).
Table 4. Analysis of the differences between different perspectives in the consensus benchmark.

5. Discussion

In this study, we conducted an in-depth investigation of the different evaluation scores of 26 day-care centers, analyzing the differences and interrelationships between the scores given through self-evaluation, as well as those provided by the evaluation committee, across four concepts and forty consensus benchmarks. The results are as follows.
The average scores and S.D. for each concept show that self-evaluation generally results in higher scores than the evaluations made by the committee. This indicates that day-care centers have a significantly positive perception of their own operations. The finding reflects that day-care centers evaluate themselves with a more optimistic attitude, while external committees conduct on-site evaluations based on their professional expertise and the scoring benchmark discussed in consensus meetings, which often leads to conflicting evaluations.
A moderately positive correlation exists among the various day-care center concepts, with a low correlation only being found between safe environment and the protection of individual rights. This indicates that there are certain differences or diverging perceptions among evaluators regarding the consensus benchmarks and on-site observations. This cognitive gap should remind managers and decision-makers to review the existing self-evaluation system and consensus benchmarks. In the future, internal self-evaluation training should be strengthened, the definitions of consensus benchmarks should be explained, and management processes should be enhanced to ensure that the evaluation results better reflect the actual implementation status. In this way, the overall service quality and management efficiency of day-care centers can be continuously improved [14,15].

6. Conclusions

6.1. Professional Care Quality and Safe Environment Have a Significant Positive Impact on Management Effectiveness

According to the results, the day-care center self-assessment model uses professional care quality and safe environment as explanatory variables, both of which have a significant positive impact on management effectiveness. This indicates that day-care centers perform well in terms of cross-professional services, health management, and safety equipment maintenance, and the overall management effectiveness is also relatively good. This result emphasizes that optimizing care quality and improving safety environments are both key concepts in enhancing the management effectiveness of day-care centers [27].

6.2. Protection of Individual Rights and Interests Has Limited Impact on Evaluation Results and Management Effectiveness

When evaluating day-care centers, whether through self-assessment or the scoring model used by the evaluation committee, the performance regarding the protection of individual rights does not significantly impact the results. This may reflect the fact that the consensus benchmark for this concept is predominantly based on statutory regulations and contracts, which are essential baseline benchmarks for operating a day-care center. Therefore, the difference in operational effectiveness influenced by the protection of individual rights is not significant. However, if there is no consensus benchmark corresponding to this concept, the day-care center may be unable to continue providing services under special agreements with the relevant authorities [13,26].
Day-care centers should focus on enhancing management effectiveness in two major ways: professional care quality and safe environment. Moreover, it is important to be aware of the gap between internal self-assessment and external evaluation in order to establish a more objective and transparent assessment and improvement system.

6.3. The Government and Relevant Agencies Should Provide More Resources and Guidance

The relevant authority can further strengthen the guidance and supervision of day- care centers by providing policy subsidies, resource integration, and regular training activities to help enhance management efficiency and service quality. In addition, promoting inter-agency information exchange and experience-sharing, forming a positive cycle of progress, will also help narrow the cognitive gap between internal and external evaluations to enhance the overall quality of services [12,16,19,20,21,22,23].

7. Limitations and Future Research Directions

7.1. Limitations of Sample Range and Representativeness

This study only involved evaluation data from 26 day-care centers in a specific county. While the results might reflect the current situation in that region, they cannot comprehensively represent the circumstances of other regions or organizations of different scales. Future research could expand the sample sources to include more counties or nationwide day-care centers in order to enhance the external validity and representativeness of the research results.

7.2. Limitations of Cross-Sectional Data

Cross-sectional data analysis was used in this study, an approach that cannot reveal changes in the management and service quality improvements of each day-care center over time. In the future, it is recommended that a longitudinal tracking research design be adopted, regularly collecting evaluation data to explore the long-term effects of improvement measures on management performance. A comprehensive understanding of the sustained benefits of improvement strategies could then be obtained.

7.3. Subjectivity and Insufficient Quantification of Evaluation Criteria

Some evaluation criteria may be biased due to the reliance on respondents’ subjective assessments, leading to significant discrepancies between internal and external ratings. Future research might consider designing objective quantitative data, such as actual service operation records, user satisfaction survey data, and third-party objective evaluation indicators, to supplement the deficiencies of self-assessment and committee ratings, thereby allowing the evaluation results to more accurately reflect service quality.

7.4. External Environmental Variables Are Not Sufficiently Incorporated

The operational management efficiency of day-care centers is influenced not only by internal management factors but also potentially by external policies, community resources, and demographic structures, among other factors. This study did not include external variables. Future research could incorporate external environmental factors to construct a multilevel impact model to further explore the moderating effects of external resources and policy environments on organizational performance.

Author Contributions

Conceptualization, J.-Y.H.; methodology, J.-Y.H.; formal analysis, P.-H.C.; investigation, K.-L.L.; writing—original draft preparation, J.-Y.H.; writing—review and editing, J.-Y.H.; project administration, J.-Y.H. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

Statistical data are included in the article. No data sets were generated or analyzed during this study.

Conflicts of Interest

The authors declare no conflict of interest.

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