Study Identification activityLilymama
RESEARCH ARTICLE Open Access
Telephonic nursing intervention for laparoscopic cholecystectomy and hernia repair: A randomized controlled study Renata da Silva Schulz1, Rosimere Ferreira Santana2,3* , Carla Targino Bruno dos Santos4, Thiago Batista Faleiro5, Dayana Medeiros do Amaral Passarelles6, Ana Beatriz Serra Hercules6 and Thalita Gomes do Carmo2
Background: Patient undergoing surgery may be afraid and concerned about the diagnosis, the treatment, the procedure, the postoperative care, and the surgical recovery. Good communication between staff and patients can minimize or prevent this situation. This study aimed to evaluate the effectiveness of a Telecare nursing intervention, “Telephone consultation”, in reducing the “Delayed surgical recovery” nursing diagnosis in patients undergoing laparoscopic cholecystectomy and hernia repair.
Methods: This study was performed in two different institutions located in Rio de Janeiro, Brazil. A total of 43 patients were enrolled. The experimental group consisted of 22 patients who had access to the telephone follow- up intervention, and the control group consisted of 21 patients who received conventional treatment without telephone follow-up. This was a randomized controlled study with patients who were 60 years or older and awaiting operative procedures of hernia repair and laparoscopic cholecystectomy who had a mobile or landline phone and were available for telephone contact.
Results: There was a reduction in “loss of appetite with nausea” (p = 0.013); “need help to complete self-care” (p = 0.041); “pain” (p = 0.041); and “postoperative sensation” (p = 0.023). The experimental group showed a significantly larger decrease in factors related to the “Delayed surgical recovery” diagnosis, suggesting a positive effect of the intervention compared to the effect in control group.\.
Conclusion: Telephone consultation identified factors that increased the risk of complications after surgery, recognized potential patients for delayed surgical recovery and helped perioperative nurses provide accurate interventions to prevent or mitigate delayed recovery. This study was registered in the platform Brazilian Registry of Clinical Trials (ReBEC) - link: http://www. ensaiosclinicos.gov.br under registration number RBR-4C249M, retrospectively registered on April 13, 2020.
Keywords: Home telecare, Telegeriatrics, Telenursing, Teleconsulting, Telesurgery, Geriatric nursing
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* Correspondence: [email protected]; [email protected] 2Federal Fluminense University, CNPq researcher, Rio de Janeiro, Brazil 3Present Address: Rua Dr. Celestino, 74, 6° andar, Niterói, Rio de Janeiro CEP: 24020-091, Brazil Full list of author information is available at the end of the article
Schulz et al. BMC Nursing (2020) 19:38 https://doi.org/10.1186/s12912-020-00432-y
Background The occurrence rate of perioperative adverse events is between 3 and 16% in surgical procedures, and nearly 7 million patients suffer significant complications each year . Half of these complications can be avoided by improving communication and thereby reducing injuries in patients [1, 2]. The surgical procedure of operating frightens patients who might be afraid of the surgery it- self or are concerned about the diagnosis, the treatment, the procedure, the postoperative care, and other factors . These factors can be minimized or avoided by good communication practices between staff and patients. Data show that 74% of patients preferred guidance on
how to take care of themselves at home. However, only 57% said they received counseling at discharge. Among them, 52.2% received medical advice, and 43.5% did not remember receiving guidelines . It is important to re- duce the postoperative hospitalization time to prevent infection of surgical wounds, prevent complications as- sociated with prolonged immobilization and to minimize healthcare costs. Therefore, it is necessary to create guidelines for home care and promote a better relation- ship between patients and institutions, which is a chal- lenge . The incomplete understanding of the care instructions may affect the patient’s recovery. Monitor- ing these patients to efficiently detect problems at an early stage can be a strategy for postoperative follow-up . “Telephone Consultation” (8180) is a nursing interven-
tion established by the Nursing Interventions Classifica- tions (NIC) with the goals of monitoring the health conditions of a patient and taking action in abnormal situations. This type of intervention is conducted in col- laboration with face-to-face nursing consultation and is complementary to postoperative care but does not re- place it. Moreover, telephone consultation can reduce the anxiety of patients and take away any doubts in a limited amount of time, resulting in an increased inten- sity of the bond with professionals and the satisfaction of patients who receive care. “Telephone Consultation” was primarily designed for the follow-up of patients with chronic diseases, but a few studies report use of this intervention for surgical conditions such as urologic pro- cedures, breast reconstruction, hip surgery, and heart surgery [7–11]. For this study, we used the diagnosis “Delayed Surgical
Recovery” (NANDA-I: 00100). This diagnosis is part of the “Safety and Protection, Physical Injury” category and is defined as an “extension of the number of postopera- tive days required to initiate and perform activities that maintain life, health, and well-being” . The following items are described as factors related to this diagnosis: an extensive surgical procedure, obesity, pain, preopera- tive expectations, postoperative surgical site infection,
and a prolonged surgical procedure . The defining characteristics of this diagnosis include the following: difficulty moving around, evidence of interrupted healing of the surgical area, fatigue, loss of appetite with or with- out nausea, a perception that more time is needed to recover, postponed resumption of work/employment ac- tivities, reported pain or discomfort, and requiring help to complete self-care . The prevalence rate of “Delayed Surgical Recovery” in
a previous study was 37% among adults and the elderly, and of all types of surgery, patients with gastrointestinal surgery had the highest prevalence (31%) . This study aimed to evaluate the effectiveness of a Telecare nursing intervention, “Telephone consultation”, in redu- cing the “Delayed surgical recovery” nursing diagnosis in patients who are undergoing laparoscopic cholecystec- tomy and hernia repair.
Methods This study was conducted at Antônio Pedro University Hospital and at the Sevidores State Hospital, both lo- cated in Rio de Janeiro/Brazil, during the period of March to August 2016. The follow-up time for each par- ticipant was 4 weeks because the laparoscopic cholecyst- ectomy and hernia repair were considered acute conditions with a recovery time of approximately 7 days. Patients who still experienced pain, were not able to walk on their own, who needed help to complete every- day life tasks and who did not fully recover from surgery within 1 week were considered to have delayed surgical recovery, which was the main outcome of the study . Two follow-ups occurred in parallel: DSR diagnosis identification follow-up of all participants and telephone follow-up of the experimental group. The inclusion criteria were as follows: people aged 60
years or older; patients preoperative for laparoscopic cholecystectomy and hernia repair; possession of a tele- phone or cellphone; and patients available for the nurse’s calls. The exclusion criteria were patients diagnosed with dementia, patients with hearing problems without care- givers who could receive interventions over the phone, and patients undergoing surgery for the treatment of surgical complications. The study discontinuity criteria were as follows: not answering 75% of the nurse’s calls or not having time to receive the interventions over the phone. The follow-up for the DSR diagnosis was conducted
by 4 examiners who were trained to determine the diag- nosis of “Delayed Surgical Recovery”. The training had three phases: the first phase was about presenting the re- search protocol, the second phase presented the evalu- ation of each variable, and the third phase determined the accuracy of all variables used in this research in a pilot study of twelve study cases. The variable
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assessment instrument, which is described below, was applied in both the experimental and control groups. At the end of the follow-up, an educational primer on post- operative care for the elderly developed by the research team was distributed to both to the experimental group and the control at the time of hospitalization to make the groups as homogeneous as possible. The research instrument was constructed to ensure
that the data collection was performed in a standardized way according to the conceptual and operational defini- tions of each clinical indicator. These definitions were developed based on other institutional protocols available in articles, books and manuals as described below .
1. Discomfort: Determined from the physical examination and verbal report of the patient.
2. Evidence of interrupted healing at the surgical site: Determined from physical examination or the medical records.
3. Surgical site infection: Determined by the MagedanzSCORE.
4. Loss of appetite: Determined from the Mini Nutritional Assessment (MNA) test.
5. Need for assistance with self-care: Determined from the Barthel Index.
6. Impaired mobility: Determined from the Barthel Index.
7. Edema at the surgical site: Determined by the Godet sign.
8. Diabetes mellitus: Determined from the medical records.
9. Persistent nausea: Simplified Apfel scale. 10. Persistent vomiting: Simplified Apfel scale. 11. Old age: Age ≥ 85 years based on medical records. 12. History of delayed wound healing: Reports of
“operative wound dehiscence” in a previous surgery. 13. Pain: Visual analog scale. 14. Malnutrition: Serum albumin ≤3.8 and body mass
index< 18.5. 15. Obesity: Body mass index ≥30 and < 34.9 kg/m2. 16. Postoperative emotional response: Medical records. 17. Trauma at the surgical site: Physical examination
and skin inspection.
Telephone follow-up was performed by the researcher who knew the sample group assignments. The instru- ment for this monitoring was elaborated through ques- tions and guidelines for home care. The instrument included a final moment to withdraw doubts from the elderly regarding the surgical process. A simple randomization of the sample was performed
using the Statistical Package for Social Sciences (SPSS) used for the randomized group allocation; 22
participants were assigned to the experimental group and 21 participants were assigned to the control group. The principal investigator applied the randomized allo- cation sequence to the study participants to carry out the intervention and kept the randomization results in her exclusive possession during the research. The data collection was conducted from March to
August 2015. The study was performed at 2 university hospitals located in the state of Rio de Janeiro. A total of 43 patients were enrolled. The experimental group received the “Telephone Con-
sultation” intervention from a researcher on the 4th (D4), 8th (D8), 12th (D12), 18th (D18) and 25th (D25) postoperative day; a total of 5 telephone consultations were attempted for each participant in the experimental group. During the patient’s follow-up, we used the guidelines developed by NIC standardization and a lit- erature review (e.g., questions about mobility at home, food intake and wound care). The control group was evaluated during the hospitalization time (D2) and at regular consultations (D15, D30). The experimental group was also evaluated at these time points. The statistical analysis included the chi-square test (χ2)
or Fisher’s exact test for categorical data and Student’s t test for independent samples. To analyze the evolution of the defining characteristics and related factors of the DSR diagnosis, the McNemar corrected test was applied. All statistical analyses were processed using the SAS® System (version 6.11) statistical software.
Results Participant flow The total number of participants approached to carry out this study was 45. Of this total, two participants who did not meet the inclusion criteria were excluded: one, because they were undergoing a repeat surgical approach and the other did not have a phone to answer the calls. Thus, a sample of 43 participants, 22 in the experimental group and 21 in the control group, were randomized and followed. There was no loss to follow-up in either group. Figure 1 presents the CONSORT flow diagram of the participants throughout the study.
Recruitment The recruitment period was March–August 2015. The participants were followed for 4 weeks. The conventional follow-up in the experimental group and control group occurred on the preoperative day, on the 2nd, 15th and 30th postoperative days, while the experimental group also received follow-up calls on the 4th, 8th, 12th, 18th and 25th postoperative days. There was no loss of follow-up in either group.
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Baseline data To verify whether the sample was homogeneous, the characteristic profile of the participants was evaluated. The control and experimental groups had the same dis- tribution of characteristics, i.e., the same baseline initial conditions. Table 1 provides information regarding the characterization of the sample. In both groups, the most frequent social and demo-
graphic variable categories were married, incomplete elementary school, income from retirement and hyper- tension. There was no significant difference in the socio- demographic variables between the experimental and control groups at baseline.
Comparison of clinical indicators associated with the delayed surgical recovery diagnosis Table 2 compares the defining characteristics related to the diagnosis of “Delayed Surgical Recovery” between the groups. There was a significant decrease from the 1st to the 2nd evaluation (p = 0.077) and from the 1st to the 3rd evaluation (p = 0.013) for the defining character- istic “loss of appetite with nausea” in the experimental group. For the other defining characteristic, “need help to complete self-care,” there was a significant decrease
in the control group (p = 0.041) from the 1st to the 3rd evaluation. Overall, there were differences between the 2 groups
regarding the defining characteristics on the 15th day (p = 0.03). The percentage of patients with a “perception that more time is needed to recover” was reduced in the experimental group compared to the control group (p = 0.046). Table 3 provides the frequency (n) and percentage (%)
of related factors, that is, causal factors related to the Delayed Surgical Recovery diagnosis, at the 3 evalua- tions. A significant reduction from the 1st to the 3rd evaluation visit was observed in both groups for the “pain” variable (p = 0.041) and was observed in the ex- perimental group for the “postoperative expectations” (p = 0.023) variable. Patients were positive for the related factor “postoperative expectations” when they presented with anxiety, worry, fear, fear of death, social rejection, the body’s own rejection, insecurity, guilt or loss, muti- lated body and decreased self-esteem. The related factors “extensive surgery” and “prolonged
surgical procedure” were not a part of the analysis in this study because the included surgeries were classified as minor surgeries.
Fig. 1 Flow diagram of participants
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Table 1 Social and Demographic Variables per Group Variable Category Group A (n = 22) Group B (n = 21) p valuea
N % N %
Sex Male 9 40.9 9 42.9 0.900
Female 13 59.1 12 57.1
Marital Status Single 4 18.2 6 28.6 0.720
Married 12 54.6 10 47.6
Widow 5 22.7 3 14.3
Divorced 1 4.6 2 9.5
Education Illiterate 3 13.6 1 4.8 0.550
Incomplete elementary school 12 54.6 9 42.9
Complete elementary school 1 4.6 2 9.5
Incomplete high school 5 22.7 5 23.8
Complete high school 1 4.6 4 19.1
Income Retired 13 59.1 11 52.4 0.480
Pensioner 5 22.7 2 9.5
Homemaker 2 9.1 4 19.1
Working 2 9.1 4 19.1
Comorbidities HTN 12 60.0 8 47.1 0.610
DM 4 20.0 3 17.7
HTN + DM 4 20.0 6 35.3
Obesity A 25.6 ± 3.7 (19.4–32.9) * kg/m2
B 25.9 ± 3.3 (20.3–32.5) * kg/m2
Age (years) 69.2 ± 7.4 (60–86)* 69.5 ± 8.4 (60–90)*
*expressed as the average and standard deviation (minimum - maximum); p valuea = Fisher exact test; A Experimental group; B Control group; n Frequency; % Percentage; HTN Hypertension and DM Diabetes mellitus
Table 2 Comparison of the Defining Characteristics for “Delayed Surgical Recovery” Between the Groups
Defining characteristics Group (D2) (D15) (D30) p valuea
% % N % D2 x D15 D2 x D30 D15 x D30
Postponed return to work/employment activities A – 18.2 1 4.6 * * 0.240
B – 23.8 2 9.5 * * 0.240
Difficult to move A 3.6 4.6 1 4.6 0.470 0.470 NP
B 9.1 14.3 1 4.8 1.000 0.240 0.470
Fatigue A 9.1 0 0 0 0.470 0.470 NP
B 19.1 4.8 0 0 0.370 0.300 1.000
Perception that more time is required for recovery A 9.1 4.6 0 0 1.000 0.470 1.000
B 14.3 28.6 1 4.8 0.440 0.610 0.130
Evidence of interrupted healing of surgical area A 0 9.1 0 0 0.470 NP 0.470
B 0 19.1 1 4.8 0.130 1.000 0.240
Loss of appetite with nausea A 36.4 9.1 0 0 0.077 0.013 0.470
B 19.1 14.3 0 0 1.000 0.130 0.240
Loss of appetite without nausea A 9.1 0 0 0 0.470 0.470 NP
B 14.3 0 0 0 0.240 0.240 NP
Help needed to complete self-care A 22.7 9.1 0 0 0.240 0.073 0.470
B 28.6 14.3 0 0 0.370 0.040 0.240
p valuea = corrected McNemar test; groups: A Experimental group and B Control group; % Percentage; NP Not performed; D2 2nd Day after surgery; D15 15th Day after surgery and D30 30th Day after surgery
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Cost of the phone calls In the experimental group, the average total duration of the 5 calls was 37.5 min, and the total call duration ranged from 26 to 53 min. From the 1st to the 5th phone call, there was a reduction in the average call dur- ation from 11.5 to 5.9 min. The total duration of all calls was 826 min, and the average cost of a call to a mobile phone was R$: 0.44, making the total cost R$ 363.44 (ap- proximately USD $114.8) at the time of study analysis.
Discussion The experimental group showed a significantly larger de- crease in factors related to DSR, suggesting a positive ef- fect of the intervention compared to that in the control group, which was a satisfying study result, considering the sample size. In conclusion, the intervention was feas- ible and resulted in clinically significant findings. There was no significant difference in social or demographic variables between the 2 groups (p > 0.05). In both groups, there was a high comorbidity index, with com- mon chronic conditions such as hypertension and type 2 diabetes mellitus (DM II). It was estimated that 60% of this elderly population had hypertension, and a similar percentage was reported in a study associating the rate of hypertension with diabetes mellitus . The type of surgical procedures was dependent on the
patient’s sex: inguinal hernias were more common in men with a proportion of 9:1, while femoral hernias were more common in women with a proportion of 4:1. In this study, surgery was performed for the treatment of inguinal umbilical hernias, which explains the high prevalence of men. Laparoscopic surgery was most prevalent in women . Obesity was a predominant related factor in both
groups, and the number of obese women was higher than that of men; obese women constituted 9.3% of the study population, while obese men constituted 4.7%. Obesity can influence the healing process, since excess fat tissue impairs vascularity . The level of education was not significantly different
between the groups, but the control group had a slightly
higher level of education. According to the interpret- ation and compliance guidelines, the effectiveness of tel- ecare may be dependent on the level of education. Other studies have described that the higher the patient’s edu- cation, the easier it is to understand their pathology, signs and symptoms and the easier it is for them when making decisions to promote, recover and protect their health . In addition, this study demonstrated the phone handling skills of these elderly patients, as only 2 of them had family members take directions. This study has important implications for periopera-
tive nurses since it helps surgical nurses understand the most relevant components for the prolongation of hospitalization and directs effective interventions during the postoperative period. The characteristic “needs help to complete self-care”
was significantly improved in the control group (p = 0.041) over time because most elderly patients needed help with dressing directly after surgery. Another finding was that the defining characteristic “difficult to move” was related to the difficulty in mobilization before the surgery. It is important for nurses to encourage patients and their families to maintain their independence and autonomy. Due to the overall reduced mobility before surgery, only a few patients were mobile by using the lower extremities and ambulating early in the postopera- tive period . The residences of some patients were unsuitable for performing their activities. Buildings with- out an elevator and houses on a hillside limited the au- tonomy of the patient in moving around their home and returning to their social activities. Another predominant characteristic was “fatigue” eval-
uated by “prolonged periods of bed rest”, “excessive expenditure of energy while walking” and “fatigue reporting efforts.” There was improvement from the levels of these characteristics before surgery in both groups at the 3rd evaluation visit (D30). The characteristic “perception that more time for re-
covery is necessary” is subjective and has been inter- preted as the patient feeling weak and insecure about returning to their activities. Although the p value did
Table 3 Comparison of the related factors for “Delayed Surgical Recovery” between groups
Related factor Group (D2) (D15) (D30) p valuea
% N % N % D2 x D15 D2 x D30 D15 x D30
Pain A 31.8 2 9.1 1 4.6 0.130 0.041 1.000
B 23.8 3 14.3 2 9.5 0.720 0.440 1.000
Postoperative expectations A 31.8 3 13.6 0 0 0.280 0.023 0.240
B 19.1 5 23.8 2 9.5 1.000 0.680 0.370
Postoperative infection at the incision site A 0 2 9.1 0 0 0.470 NP 0.470
B 0 4 19.1 1 4.8 0.130 1.000 0.240
p valuea = corrected McNemar test; groups: A = experimental group and B = control group; n Frequency; % Percentage; D2 2nd Day after surgery; D15 15th Day after surgery and D30 30th Day after surgery; NP Not performed
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not show significance, the percentage of patients who re- ported this characteristic decreased from the 1st and the 2nd evaluation visit. This observed difference between the 2 groups is probably due to the health education given on the telephone calls, which resulted in a better understanding of the postoperative process and, conse- quently, less anxiety and greater security during their postoperative recovery. A prominent characteristic of “Delayed Surgical Re-
covery” is “evidence of interruption in surgical healing.” The surgeries were performed according to plan, and thus, in the 1st evaluation visit, no signs of complica- tions were identified. In the 2nd evaluation visit, there were 2 elderly patients in the experimental group and 4 in the control group who had signs of wound exudate, delay in removal of the stitches, and initiation of anti- biotic therapy by the assistant surgeon. In the 3rd evalu- ation visit, only 1 elderly patient in the control group, who underwent treatment for hernia, developed a refrac- tory infectious condition with wound dehiscence. For the characteristics “loss of appetite with nausea”
and “loss of appetite without nausea”, there was a high prevalence in the 1st evaluation visit, which was signifi- cantly different in the experimental group (p = 0.013); this was mainly caused by the clarification of the use of medication and food. In the experimental group, more information was given on the use of effective antiemetic drugs and the control of environmental factors that can evoke nausea, and the patient was encouraged to breathe deeply and cough, along with other actions. The second, less common reason was the presence of sensory changes and decreased appetite in the elderly, often seen as dissatisfaction with hospital food, which was solved by the return to home, and this reason was absent in the 2nd evaluation visit. There was a difference in reporting pain in the postop-
erative period by sex, and women reported experiencing more pain than men. There was a significant decrease in pain in the experimental group (p = 0.041). During the intervention, it was noticed that patients did not under- stand how to correctly take their medications, and after receiving appropriate instructions, many of the patients started to take their prescription properly. Instructions about pharmacological methods for pain relief and edu- cation on how to monitor the intensity, quality and dur- ation of pain likely explain the significant improvement in pain relief in the experimental group . Another factor that changed significantly in the experi-
mental group was “postoperative expectations” and com- plaints about anxiety, worry, and fear. When comparing the percentages, no data on this feature were reported for the last evaluation visit. The p value of 0.023 indi- cated significant findings, whereas in the control group, the p value was 0.68. Another related factor contributing
to the DSR diagnosis was “postoperative surgical site in- fection,” and therefore, a major aim of the telephone consultations was to review wound care and observe wound healing . Overall, the factors most important for telecare were
wound care, pain control and medication use. However, care related to social needs, such as returning to social activities and decreased anxiety, were also important. Due to technological advances and the influence of im- proving communication and maintaining social relation- ships, it has been observed that the use of technology is somewhat ubiquitous among the elderly [23, 24]. Therefore, one generalization of this study is the possi-
bility of telephone consultation; telecare in elderly post- operative patients helped the perception of continuity and supported home care. Among the guidelines made during the intervention, we highlight the promotion of safety and well-being by the follow-up in the postopera- tive period, offering a sense of continuity of the care provided in the hospital environment and contributing to the patient’s return to daily activities in an expected time. Regarding study limitations, we point out that this
study was not of the multicenter type; it had a consider- ably small sample with surgeries classified as clean or potentially contaminated. However, this is what guaran- teed homogeneity of the sample and the specificity of the intervention. We suggest the continuity of the study in other patient populations and types of surgeries to en- hance the intervention in the clinical practice of nursing. This study’s new knowledge may influence practice:
� Telephone consultations identified factors that increase the risk of complications after surgery.
� Telephone consultations enabled recognition of potential patients for delayed surgical recovery.
� Telephone consultations helped perioperative nurses provide accurate interventions to prevent or mitigate delayed recovery.
Conclusions This study showed significantly lower rates for the “loss of appetite with nausea” and “needs help to complete self-care” characteristics and the related factors “postop- erative expectations” and “pain” in the intervention group compared to the control group. During the tele- phone consultations, the main questions involved the use of medications and appropriate wound care. In conclusion, telephone consultations by nurses are a
feasible and helpful intervention for this population in clinical practice due to low cost, positive results, and ease of use. Telephone consultation follow-up is a low- cost resource, accessible to most of the population, with
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high rates of adherence; it may be used for health care in public health systems worldwide.
Abbreviations NIC: Nursing interventions classifications; NANDA-I: North American nursing diagnosis association; DSR: Delayed surgical recovery; SPSS: Statistical package for social sciences; CONSORT: Consolidated standards of reporting trials; DM II: Type 2 diabetes mellitus
Acknowledgements The authors acknowledge the voluntary support of the students in the Postgraduate Academic Program in Health Care Sciences in Federal Fluminense University.
Availability of data and study materials The data that support the findings of this study are available from Federal Fluminense University, Brazil, and may be requested from the corresponding author. However, these are not public data; restrictions apply to the availability of these data, which were used under license for the current study, to ensure patient privacy. The data are, however, available from the authors upon reasonable request and with permission of research participants.
Authors’ contributions RSS: Made contributions to the entire manuscript content and made contributions to the conception, study design, acquisition of data, data analysis, interpretation of the data, drafting of the manuscript and critical revision of the manuscript for important intellectual content. This author gave final approval of the version to be published. All authors have read and approved the manuscript. RFS: Made contributions to the entire manuscript content and made contributions to conception, study design, acquisition of data, data analysis, interpretation of the data, drafting of the manuscript and critical revision of the manuscript for important intellectual content. This author gave final approval of the version to be published. All authors have read and approved the manuscript. CTBS: Made contributions for the part of the manuscript content, data analysis and interpretation of the data, critical manuscript revisions for important intellectual content, and manuscript submission. This author gave final approval of the version to be published. All authors have read and approved the manuscript. TBF: Made contributions for part of the manuscript content and made contributions to the data analysis and the interpretation of the data; provided language help, drafted of the manuscript, revised it critically for important intellectual content and submitted the manuscript. This author gave final approval of the version to be published. All authors have read and approved the manuscript. DMAP: Made contributions for part of the manuscript content and made contributions to the data analysis and the interpretation of data; provided language help, drafted of the manuscript, revised it critically for important intellectual content and submitting the manuscript. This author gave final approval of the version to be published. All authors have read and approved the manuscript. ABSH: Made contributions for part of the manuscript content and made contributions to the analysis and interpretation of the data, critical revision of the manuscript for important intellectual content and manuscript submission. This author gave final approval of the version to be published. All authors have read and approved the manuscript. TGC: Made contributions for part of the manuscript content and made contributions to the analysis and interpretation of the data, critical revision of the manuscript for important intellectual content and manuscript submission. This author gave final approval of the version to be published. All authors have read and approved the manuscript.
Funding This manuscript is part of the project “ Central Elderly Telemonitoring: Tele_Senior “, funded by the Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ) under Process n°. E-26/ 110.081/2013 - APQ1. The resources to equip the telemonitoring room and create the call monitoring software were provided by the above mentioned Institution.
Ethics approval and consent to participate This study was approved by the Research Ethics Committee of the Faculty of Medicine at Federal Fluminense University under protocol n° 327/2013 and
CAAE: 09911212.0.0000.5243. The patients were informed about the research and about their rights to not participate or to withdraw from the study at any time without causing any harm to their health care. Volunteers who agreed to participate in this study signed a written consent form.
Consent for publication Not applicable.
Competing interests The authors declare that they have no conflict of interest.
Author details 1Jorge Amado University, Salvador, BA, Brazil. 2Federal Fluminense University, CNPq researcher, Rio de Janeiro, Brazil. 3Present Address: Rua Dr. Celestino, 74, 6° andar, Niterói, Rio de Janeiro CEP: 24020-091, Brazil. 4University of Brasilia, Federal District, Brasilia, Brazil. 5Clinical Hospital of Salvador, Brasilia, BA, Brazil. 6Fluminense Federal University, Rio de Janeiro, Brazil.
Received: 11 August 2019 Accepted: 5 May 2020
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- Participant flow
- Baseline data
- Comparison of clinical indicators associated with the delayed surgical recovery diagnosis
- Cost of the phone calls
- Availability of data and study materials
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