Evidence map›Paper›PMID 41913228›Full record

ArticleBMC health services research2026

From scale development to strategic action: internal service quality and importance-performance analysis findings in Taiwan's long-term care.

Che-Cheng Chang, Shu-Hsien Huang

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Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Che-Cheng ChangDepartment of Business Administration, Takming University of Science and Technology, No.56, Sec.1, Huanshan Rd., Neihu District, Taipei City, Taiwan (R.O.C.). c9256123@hotmail.com.
Shu-Hsien HuangGuidance Office, Affiliated Experimental Elementary School of University of Taipei, No.29, Gongyuan Rd., Zhongzheng District, Taipei City, 100006, Taiwan (R.O.C.).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTaiwan is rapidly transitioning into a super-aged society, leading to an increased reliance on long-term care (LTC) institutions. High staff turnover remains a critical challenge for the industry globally. While internal service quality (ISQ) is recognized as a key driver of employee retention, there is a systemic lack of scientifically validated scales specifically tailored to the unique demands of LTC contexts, a research gap that persists both in Taiwan and internationally. This study aims to develop a validated ISQ scale that addresses this global empirical void and to identify strategic priorities for institutional management.

methodsThe study employed a multi-stage methodology. First, a Modified Delphi Method was conducted with a panel of 12 experts over two rounds to construct and validate the ISQ scale. Content Validity Ratio (CVR) and consensus thresholds were used for item selection. Second, a survey was administered to 364 LTC professionals (nurses, caregivers, social workers and Managers / Administrative Staff) across Taiwan. Data were analyzed using descriptive statistics, reliability/validity testing (Cronbach’s alpha, CR, and AVE), and Importance–Performance Analysis (IPA) to identify service gaps.

resultsThe final validated ISQ scale consists of 29 items across five dimensions: Tangibles, Responsiveness, Reliability, Assurance, and Empathy. All dimensions showed high reliability (Cronbach’s α > 0.80) and convergent validity. A significant service quality gap was identified, with an overall mean importance score of 4.24 compared to a satisfaction score of 3.13 (Gap = -1.11). IPA results revealed seven items in Quadrant II (“Concentrate Here”), highlighting critical weaknesses in soft management, including managers’ fairness in addressing issues, willingness to listen to staff feelings, and service enthusiasm. Conversely, salary payment and rotation systems were identified as core institutional strengths.

conclusionsThis study provides the first scientifically grounded ISQ measurement tool for the LTC sector in Taiwan. The findings suggest that while institutions perform well in tangible and financial aspects, a strategic shift toward empathetic leadership and organizational fairness is essential to improve staff morale. Policymakers and managers should integrate these qualitative ISQ indicators into evaluation frameworks to address workforce shortages and enhance external care quality.

Indexed as

Long-Term CareQuality of Health CareDelphi TechniqueFemaleHumansPersonnel TurnoverReproducibility of ResultsSurveys and QuestionnairesTaiwanImportance–Performance Analysis (IPA)Internal marketingInternal Service Quality (ISQ)Long-term careModified Delphi methodTaiwan

Identifiers

PMID41913228
PMCPMC13159344

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.