
Código ISSN 2588-0551
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Revista cientíca INSPILIP - Volumen 8 - Número 25 - Mayo - Agosto 2024
Código ISSN 2588-0551
of COVID-19 infections from the Occupational
Health Area was considered and were conrmed by
PCR or antigen test; therefore, an initial sample of
202 participants was estimated.
The inclusion criteria were: nursing personnel
working at the Hospital General Docente Calderón,
agreed to participate voluntarily in this study,
perform direct patient care, and have a conrmed
COVID-19 infection by any diagnostic method with
more than 6 months since recovery. The exclusion
criteria included nursing personnel who were not
infected with COVID-19 or whose diagnosis was
presumptive.
The following variables were taken into account:
Post-COVID-19 Syndrome, Functional status,
Age, Sex, Comorbidities, Exposure Time/Workday,
COVID-19 Morbidity, Nursing sta, Immunization,
Personal protective equipment.
Techniques and instruments: Participants were
asked to provide information on socio-demographic
characteristics and medical history (age, sex,
pre-existing comorbidities, exposure time/workday,
COVID-19 morbidity, nursing role classication,
number of immunizations and access to personal
protective equipment, service where they works,
number of contagions, most serious contagion).
The Post-COVID-19 Functional Status (PCFS)
Scale for adult survivors of COVID-19 was used
as an objective tool when evaluating patients with
post-COVID-19 syndromes (9). This ordinal scale
assesses the totality of functional limitations Post
COVID-19 (9). The Leiden group, Netherlands,
proposed this scale with the purpose of evaluating
patients after hospital discharge, at 4 and 8 weeks
to maintain a follow-up in their recovery, and
at 6 months to evaluate the functional sequelae.
Therefore,
the PCFS scale maintains its usefulness both at
the time of hospital discharge and for monitoring
functional status after discharge (10). The description
of each grade of the scale is detailed in Annex 1,
Chile version (11).
Semantic validation of the PCFS was performed by
means of a written survey for each of the judges. Six
health professionals participated: 3 nursing graduates
and 3 nursing assistants who met the following
inclusion criteria: knowledge of the subject,
experience in the application of the scale, more than
5 years of professional practice and experience at
providing direct care to patients with COVID-19.
The experts evaluated the content of the scale with its
6 dimensions in the categories of: clarity, coherence
and relevance for which a Likert-type response
format with 5 response alternatives was used.
The average score for each item, according to the
experts, was greater than 4, it corresponds to a clear
and precise question for measuring the phenomenon
under study. It was decided not to use the rst
question, "Did the patient die after the diagnosis
of COVID-19?," because it generated confusion in
the response. In addition, words such as "you" were
modied to "for you"; "local shopping" to "store" in
the dimensions of basic activities of daily living and
instrumental activities of daily living.
The reliability and validity of the instrument were
assessed through a pilot test administered to a total
of 25 health professionals, including nurses and
nursing assistants, who worked in a clinic in Quito.
The statistical analysis was performed using SPSS
statistical software for Windows (Version 26.0, IBM
Inc., Armonk, NY, USA). The construct validity of
the PCFS scale was evaluated using Cronbach's α
coecient, yielding a result of 0.935 which permits
considering the scale as highly reliable and suitable
for its application. Each item was individually
evaluated, with a Cronbach's alpha greater than
0.9 and coecients ranging from 0.918 to 0.948.
It proved that each of the questions are highly
reliable and at the same time allowed modications
to be made to the approach of the aforementioned
questions.
Data processing and analysis: Once the results of
the physical surveys were obtained, the data were
exported to an Excel database, cleaned and transferred
to the statistical program IMB SPSS version 26 for
comprehensive analysis of each variable's behavior.
To ensure data condentiality, codes were assigned
to each survey conducted for every participant,
eectively safeguarding their identity and personal
information.
For data analysis, descriptive statistics were employed
to address the research objectives. The qualitative
variables (sex, personnel, service, availability of
PPE, immunization, comorbidity, contagion, contact
time, COVID morbidity) were analyzed through
frequencies and percentages, while the age variable
was analyzed through mean and standard deviation.
Age was represented by ranges and comorbidity
and immunization were represented by absolute
frequencies.