Evidence map›Paper›PMID 42414929›Full record

Observational studyBMC infectious diseases2026

Reshaping long COVID care through patient-reported needs.

Jovana Milic, Anna Pelizzoni, Licia Gozzi, Tommaso Albano, Martina Ricciardetto, Marianna Menozzi, Gianluca Cuomo, Giuseppe Mancini, Cristina Mussini, Giovanni Guaraldi

Abstract readObservational Study
In one paragraph

Observational study in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jovana MilicDepartment of Surgical, Medical, Dental and Morphological Sciences, University of Modena and Reggio Emilia, Largo del Pozzo, 71, Modena, 41124, Italy.
Anna PelizzoniSchool of Medicine, University of Modena and Reggio Emilia, Modena, Italy.
Licia GozziDepartment of Surgical, Medical, Dental and Morphological Sciences, University of Modena and Reggio Emilia, Largo del Pozzo, 71, Modena, 41124, Italy.
Tommaso AlbanoDepartment of Surgical, Medical, Dental and Morphological Sciences, University of Modena and Reggio Emilia, Largo del Pozzo, 71, Modena, 41124, Italy.
Martina RicciardettoDepartment of Surgical, Medical, Dental and Morphological Sciences, University of Modena and Reggio Emilia, Largo del Pozzo, 71, Modena, 41124, Italy.
Marianna MenozziInfectious Diseases Clinic, Azienda Ospedaliero-Universitaria, Policlinico of Modena, Modena, Italy.
Gianluca CuomoInfectious Diseases Clinic, Azienda Ospedaliero-Universitaria, Policlinico of Modena, Modena, Italy.
Giuseppe ManciniInfectious Diseases Clinic, Azienda Ospedaliero-Universitaria, Policlinico of Modena, Modena, Italy.
Cristina MussiniDepartment of Surgical, Medical, Dental and Morphological Sciences, University of Modena and Reggio Emilia, Largo del Pozzo, 71, Modena, 41124, Italy.
Giovanni GuaraldiDepartment of Surgical, Medical, Dental and Morphological Sciences, University of Modena and Reggio Emilia, Largo del Pozzo, 71, Modena, 41124, Italy. giovanni.guaraldi@unimore.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong COVID is a multisystem condition characterized by persistent or fluctuating symptoms following acute SARS-CoV-2 infection. Despite increasing scientific evidence, the alignment between patient needs and healthcare delivery remains limited. This study aimed to assess unmet clinical, psychological, and lifestyle needs among individuals previously evaluated at the Modena Long COVID Clinic and to inform a patient-centered redesign of Long COVID services.

methodsThis observational study included individuals assessed at least once at the Modena Long COVID Clinic (Italy) between August 2020 and July 2025. Participants with valid email and phone contacts were invited to complete an online questionnaire exploring unmet needs across clinical, mental health, welfare, and lifestyle domains. The questionnaire also assessed Long COVID symptom clusters and health-related quality of life (HR-QoL) using the EQ-5D-5 L and EQ-VAS. Data were compared between the first clinical visit (baseline) and the follow-up survey.

resultsOf 707 individuals contacted, 162 (22.9%) completed the survey (median age 56 years; 54.9% male). At follow-up, 80.1% reported at least one Long COVID symptom cluster, with significant increases in musculoskeletal (30.1% vs. 60.8%), neurocognitive (23.5% vs. 52.4%), and psychological (25.3% vs. 51.2%) domains. EQ-5D-5 L scores remained stable (median 83.0 vs. 84.1; p = 0.927), while self-rated health improved (60 vs70; p < 0.001). Unmet needs were common: 22.2% reported insufficient access to specialist consultations, 15.4% lacked psychological support, and 15.5% reported unmet needs for pain management.

conclusionsThis study identifies substantial gaps between patient needs and existing care structures, emphasizing the need for a dynamic, cluster-based, and patient-centered approach. The results support the redesign of Long COVID services into five operational pillars: functional triage, empowerment and education, integrated cluster clinics, continuity of care through case management, and outcome-based evaluation. Such reorganization may enhance perceived health and well-being even when overall disability remains stable.

trial registrationClinical trial number not applicable.

Indexed as

COVID-19Health Services Needs and DemandAdultAgedFemaleHumansItalyMaleMiddle AgedPost-Acute COVID-19 SyndromeQuality of LifeSARS-CoV-2Surveys and QuestionnairesLong COVIDPatient-centered careQuality of lifeUnmet needs

Identifiers

PMID42414929
PMCPMC13629035

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.