Frontiers in Health Services | Implementation Science section | New and Recent Articles https://www.frontiersin.org/journals/health-services/sections/implementation-science RSS Feed for Implementation Science section in the Frontiers in Health Services journal | New and Recent Articles en-us Frontiers Feed Generator,version:1 2026-05-13T12:23:18.781+00:00 60 https://www.frontiersin.org/articles/10.3389/frhs.2026.1837215 https://www.frontiersin.org/articles/10.3389/frhs.2026.1837215 <![CDATA[Usability and feasibility of the longitudinal implementation strategy tracking system: a think-aloud study with implementation researchers]]> 2026-05-12T00:00:00Z Original Research James L. MerleJustin D. Smith https://www.frontiersin.org/articles/10.3389/frhs.2026.1796984 https://www.frontiersin.org/articles/10.3389/frhs.2026.1796984 <![CDATA[The development of a multi-level intervention to improve data quality of the national quality indicators in Swiss long-term care facilities using an Intervention Mapping approach]]> 2026-05-11T00:00:00Z Original Research Magdalena OsińskaDaniela BraunSonja BaumannBrigitte BenkertNereide CurreriJianan HuangMichael SimonBastiaan Van GrootvenFranziska Zúñiga https://www.frontiersin.org/articles/10.3389/frhs.2026.1731352 https://www.frontiersin.org/articles/10.3389/frhs.2026.1731352 <![CDATA[Health technology design considerations specific to Indigenous Data Sovereignty and implementation science]]> 2026-05-07T00:00:00Z Community Case Study Alec J. CalacTiana McMannJoseph YrachetaTim K. Mackey https://www.frontiersin.org/articles/10.3389/frhs.2026.1788089 https://www.frontiersin.org/articles/10.3389/frhs.2026.1788089 <![CDATA[Examining perceptions, social, and policy factors influencing hepatitis B birth-dose vaccine uptake: a PEN-3 cultural model mixed-methods study of healthcare workers in Nigeria]]> 2026-05-07T00:00:00Z Original Research Olufunto A. OlusanyaOluwakorede AdedejiCaven NgoeDavid OladeleAdesola Z. MusaMaria AfadapaTiti Gbaja-BiamilaIfeoma Eugenia IdigbePeter KaluluNkiruka ObodoechinaTemitope OjoFolahanmi AkinsoluAbideen SalakoJoseph OgbehChiamaka OdinammaduUcheoma NwaozuruKristi L. FoleyAgatha WapmukHong XianJason J. OngPeyton ThompsonOluwaseun Falade-NwuliaSuzanne DayJoseph D. TuckerOliver Chukwujekwu EzechiJuliet Iwelunmor https://www.frontiersin.org/articles/10.3389/frhs.2026.1676416 https://www.frontiersin.org/articles/10.3389/frhs.2026.1676416 <![CDATA[Advancing healthcare worker safety in an academic hospital setting: a mixed methods quality improvement initiative protocol]]> 2026-05-01T00:00:00Z Study Protocol Seema SharmaLee de BieCarrie FletcherMyanca RodriguesBrianna DepestelBrooke CowellSahar Monzavi-BaconChristina BowmanAdam J. PrieurCharlie PumaKwasi Adu-BasowahCarly WeeksChristian RabbatLehana ThabaneMike Heenan https://www.frontiersin.org/articles/10.3389/frhs.2026.1779684 https://www.frontiersin.org/articles/10.3389/frhs.2026.1779684 <![CDATA[Stimulating co-production in healthcare quality improvement: raising the interest of health professionals to collaborate with patients]]> 2026-04-30T00:00:00Z Perspective Mats Brommels https://www.frontiersin.org/articles/10.3389/frhs.2026.1735411 https://www.frontiersin.org/articles/10.3389/frhs.2026.1735411 <![CDATA[Predicting recreational therapy engagement in veterans’ long-term care: a machine learning approach]]> 2026-04-30T00:00:00Z Original Research Mohammad Najeh SamaraKimberly D. HarryBrittany WeissmanKara V. Dopp 4.5 activities combined with satisfaction scores >3.84 achieved 100% observed probability of sustained high participation [n = 5; 95% exact binomial CI: (47.8%, 100%)], though this estimate should be interpreted cautiously given the small subgroup size. New residents (≤1.5 years) with limited preferences demonstrated the highest risk for non-participation. Group activities (Gini importance: 0.143) and spiritual activities (Gini importance: 0.100–0.101) emerged as significant predictors across both models.ConclusionsThis research provides the first proof-of-concept demonstration of a machine learning approach for predicting recreational therapy engagement among veterans in long-term care facilities, establishing methodological feasibility and generating testable hypotheses for prospective multi-site validation. Activity preference diversity and facility tenure serve as primary determinants of participation, with a critical 1.5-year adaptation period identified for intervention targeting. These predictive models can be applied during admission or early in residency to identify veterans at risk of low participation, enabling recreational therapy staff to implement tailored, proactive engagement strategies before disengagement occurs.]]> https://www.frontiersin.org/articles/10.3389/frhs.2026.1764829 https://www.frontiersin.org/articles/10.3389/frhs.2026.1764829 <![CDATA[Integrating screening and management of mental disorders, including substance use disorders into other non-communicable disease care: insights from theory-informed implementation strategies creation for implementation model M0 in Faridabad, India as part of ICMR-MINDS project]]> 2026-04-23T00:00:00Z Original Research Yatan Pal Singh BalharaParag BhardwajSiddharth SarkarHitesh VermaKuldeep SinghGerish AtriOm Pal Singh SainiHanspreet KangPulkit VermaAshoo GroverNeha Dahiya https://www.frontiersin.org/articles/10.3389/frhs.2026.1690832 https://www.frontiersin.org/articles/10.3389/frhs.2026.1690832 <![CDATA[Rule-based clinical decision support system for automated assessment of left ventricular diastolic function during stress echocardiography]]> 2026-04-15T00:00:00Z Original Research Gulnora RozikhodjaevaOmonulla JuraevH.-Christian BrauweilerTom Schaal 50%) was enrolled, excluding individuals with significant valvular pathologies, arrhythmias, or unstable ischemia. Echocardiographic and Doppler data were collected using Toshiba Aplio500 and Esaote MyLabSIGMA systems. The algorithm incorporated manual input of measurements, computed derived indices (e.g., diastolic reserve index, myocardial stiffness, vascular resistance), and applied rule-based logic in accordance with ASE/EACVI (2016/2022) guidelines and the ESC HFpEF consensus.ResultsThe CDSS generated diagnostic conclusions within 3 min per case, matching expert assessments in 93% of cases and correctly identifying stress-induced diastolic dysfunction in 85%. It demonstrated high diagnostic agreement (ICC > 0.94) and discrimination (AUC = 0.92). Rule-based outputs, such as “Impaired diastolic reserve” or “Right ventricular dysfunction under load,” were based on combinations of parameters (e.g., E/e′ > 15, Δe′ ≤ 0, TAPSE < 17 mm, PCWR > 12 mmHg).ConclusionThe explainable, guideline-compliant CDSS enables real-time, transparent analysis of diastolic function, supporting improved diagnostic consistency and augmented physician decision-making in cardiovascular care.]]> https://www.frontiersin.org/articles/10.3389/frhs.2026.1770265 https://www.frontiersin.org/articles/10.3389/frhs.2026.1770265 <![CDATA[Transcultural utility in the implementation of digital SRH interventions in sub-saharan Africa: a scoping review protocol]]> 2026-04-13T00:00:00Z Study Protocol Relebohile NtsoaneMathildah Mpata MokgatleElizabeth Nkabane-NkholongoB. W. Jack https://www.frontiersin.org/articles/10.3389/frhs.2026.1799760 https://www.frontiersin.org/articles/10.3389/frhs.2026.1799760 <![CDATA[Cross-cultural adaptation of an implementation science glossary into simplified Chinese: study protocol]]> 2026-04-07T00:00:00Z Study Protocol Xiaomeng YeWyatt Xixuan WuTina Yen-Ting ChenQian YangNick Sevdalis https://www.frontiersin.org/articles/10.3389/frhs.2026.1800608 https://www.frontiersin.org/articles/10.3389/frhs.2026.1800608 <![CDATA[The theory behind the strategies: interpreting the expert recommendations for implementing change taxonomy through four behavioural lenses]]> 2026-04-02T00:00:00Z Hypothesis and Theory Per NilsenKristin ThomasHanna Augustsson ÖfverströmMaria FagerströmKathrine HaldJeanette Wassar Kirk https://www.frontiersin.org/articles/10.3389/frhs.2026.1793055 https://www.frontiersin.org/articles/10.3389/frhs.2026.1793055 <![CDATA[Implementing group metacognitive therapy to improve mental health in NHS cardiac rehabilitation: the PATHWAY beacons study of adoption, adherence and data capture]]> 2026-03-26T00:00:00Z Original Research Adrian WellsAndrew BelcherDavid ReevesPatrick DohertyPaul WilsonLora Capobianco https://www.frontiersin.org/articles/10.3389/frhs.2026.1767083 https://www.frontiersin.org/articles/10.3389/frhs.2026.1767083 <![CDATA[Navigating paradox in child welfare: implications for improvement science in complex human service systems]]> 2026-03-25T00:00:00Z Original Research Christina EvaldssonSofia Kjellström https://www.frontiersin.org/articles/10.3389/frhs.2026.1791049 https://www.frontiersin.org/articles/10.3389/frhs.2026.1791049 <![CDATA[Assessment of knowledge, attitude, and practice regarding diabetes among patients with type 2 diabetes in Hunan province, China: a cross-sectional study]]> 2026-03-24T00:00:00Z Original Research Guiyan ChenNing GaoJianwei HuangLinhua Pi https://www.frontiersin.org/articles/10.3389/frhs.2026.1797149 https://www.frontiersin.org/articles/10.3389/frhs.2026.1797149 <![CDATA[Characterization of collaborative management paths for public health at the county-level government in China: 3 cases based on fsQCA]]> 2026-03-19T00:00:00Z Brief Research Report Jiangping FuRui HuBing CaoZhi Sun https://www.frontiersin.org/articles/10.3389/frhs.2026.1733685 https://www.frontiersin.org/articles/10.3389/frhs.2026.1733685 <![CDATA[The FrEEIA readiness assessment tool: an evidence-informed pro-equity readiness assessment tool adapted in Aotearoa New Zealand for the implementation of health interventions]]> 2026-03-19T00:00:00Z Original Research Nina VeenstraPapillon GustafsonMichelle LambertLisa KremerHolly O'LoughlinKaren BartholomewPeter CarswellMihi RatimaAdam FusheiniPatricia PriestSue Crengle https://www.frontiersin.org/articles/10.3389/frhs.2026.1723215 https://www.frontiersin.org/articles/10.3389/frhs.2026.1723215 <![CDATA[Integrating evidence-based paediatric asthma management in Australian primary care: phase I protocol for developing implementation bundles]]> 2026-03-11T00:00:00Z Study Protocol Ashraful KabirMd Ariful IslamShirdhya JoypaulDuha GideGaston ArnoldaYvonne ZurynskiGeorgia FisherCharlotte KellyYvonne MullinsBronwyn GouldAnthony FlynnSinead BurkeAi-Vee ChuaCharlotte DealhoyChristina RojasJeffrey BraithwaiteAdam JaffeNusrat Homaira https://www.frontiersin.org/articles/10.3389/frhs.2026.1776038 https://www.frontiersin.org/articles/10.3389/frhs.2026.1776038 <![CDATA[Evaluating the perceived implementation and impact of the chronic dispensing unit in the Western Cape]]> 2026-03-09T00:00:00Z Original Research Ilona MatthewMichelle ViljoenJane McCartneyAngeni Bheekie https://www.frontiersin.org/articles/10.3389/frhs.2026.1678257 https://www.frontiersin.org/articles/10.3389/frhs.2026.1678257 <![CDATA[Hybrid type 1 effectiveness-implementation studies: why and how to do them]]> 2026-03-05T00:00:00Z Methods Jure BalohSara J. LandesJeffrey L. SmithGeoffrey M. Curran