| Literature DB >> 35601877 |
Abstract
Objective: This qualitative study's aim was to learn how the spouses and romantic partners of frontline doctors and nurses dealt with the acute stress of the outbreak; the kinds of support they provided when the frontliners had to navigate COVID-19 at their hospitals; and, according to their perceptions, how this crisis impacted their relationship. Background: This study focused on the partners of frontliners working in hospitals during the crisis of the coronavirus outbreak in New York City (NYC)-one of the earliest epicenters of the COVID-19 pandemic in the United States. This study expanded upon the Family Stress Model-which examines how economic problems can affect marital quality and stability. Method: Interviews were conducted with 29 partners of frontliners who had been treating COVID-19 patients in NYC hospitals during the pandemic outbreak from February 29 to June 1, 2020. Partners were recruited via snowball sampling, interviewed via Zoom or telephone, and results were analyzed using thematic content analysis.Entities:
Keywords: COVID‐19; Family Stress Model; New York City; coronavirus; crisis; doctor; frontline worker; healthcare worker; hospital; nurse; pandemic; partner; spouse
Year: 2022 PMID: 35601877 PMCID: PMC9115066 DOI: 10.1111/jomf.12831
Source DB: PubMed Journal: J Marriage Fam ISSN: 0022-2445
Participant demographic information
| Pseudonym | Gender | FrGender | Age | FrAge | Dr/Nurse | Years together | Married | Children? | Number of children | COVID+ |
|---|---|---|---|---|---|---|---|---|---|---|
| Abby | F | M | 32 | 34 | Dr | 10 | N | N | 0 | |
| Adam | M | F | 33 | 32 | Nurse | 7.5 | Y | Y | 2 | |
| Andrea | F | M | 33 | 32 | Dr | 8 | Y | Y | 1 | |
| Caroline | F | M | 42 | 48 | Dr | 20 | Y | Y | 2 | |
| Eli | M | F | 36 | 36 | Dr | 8 | Y | Y | 1 | |
| Frida | F | M | 34 | 39 | Dr | 13 | Y | Y | 3 | |
| Gabriel | M | F | 33 | 33 | Dr | 8 | Y | Y | 1 | |
| Howard | M | M | 42 | 42 | Nurse | 15 | Y | N | 0 | Y |
| Isadore | M | F | 41 | 41 | Nurse | 18 | Y | Y | 2 | |
| Isaac | M | F | 34 | 33 | Dr | 4 | N | N | 0 | |
| Jacob | M | F | 46 | 37 | Dr | 18 | Y | Y | 3 | |
| Jonah | M | F | 31 | 32 | Dr | 3 | N | N | 0 | |
| Josh | M | F | 41 | 39 | Dr | 17 | Y | Y | 3 | |
| Leon | M | M | 39 | 33 | Dr | 4 | N | N | 0 | |
| Leora | F | M | 31 | 31 | Dr | 9 | Y | Y | 1 | |
| Matthew | M | F | 33 | 28 | Dr | 8 | Y | N | 0 | |
| Marina | F | M | 34 | 35 | Dr | 6 | Y | Y | 1 | |
| Megan | F | M | 61 | 58 | Nurse | 36 | Y | Y | 2 | |
| Michael | M | F | 34 | 31 | Dr | 13 | Y | Y | 1 | |
| Nicole | F | M | 68 | 68 | Dr | 45 | Y | Y | 3 | |
| Nina | F | M | 32 | 35 | Dr | 9 | Y | Y | 2 | |
| Paul | M | F | 71 | 72 | Dr | 44 | Y | Y | 3 | |
| Rachel | F | M | 32 | 34 | Nurse | 5 | Y | N | 0 | Y |
| Ron | M | F | 38 | 40 | Nurse | 10 | Y | Y | 1 | |
| Seth | M | F | 40 | 31 | Dr | 10 | Y | Y | 1 | |
| Sam | M | F | 40 | 38 | Nurse | 18 | Y | Y | 2 | |
| Samantha | F | M | 29 | 29 | Dr | 15 | Y | N | 0 | Y |
| Steve | M | F | 34 | 35 | Dr | 6 | Y | Y | 1 | Y |
| Talia | F | M | 31 | 30 | Dr | 6 | Y | Y | 1 | |
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Note: Words preceded by “Fr” stand for “Frontliner.”